Journal articles on the topic 'Quantitative and logical reasoning'
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Warsitasari, Wahyu Dwi, and Imam Rofiki. "UTILIZING GEOGEBRA FOR SOLVING ECONOMIC MATHEMATICS PROBLEMS: PROMOTING LOGICAL REASONING IN PROBLEM-BASED LEARNING." AKSIOMA: Jurnal Program Studi Pendidikan Matematika 12, no. 3 (September 30, 2023): 3445. http://dx.doi.org/10.24127/ajpm.v12i3.7300.
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Logical reasoning is very important to be used by as the basis of creative activities such as creating or applying mathematical concepts in the real world. By implementing Problem-Based Learning (PBL) with GeoGebra's assistance, logical reasoning abilities can be developed. This research intends to investigate the effect of utilizing GeoGebra to support PBL on students' capacity for logical reasoning while addressing economic mathematics problems. This study employed a quantitative method with one group pretest-posttest quasi-experimental research design. GeoGebra was used in classroom instruction as part of the PBL model to help students solve economic math problems logically. Following the implementation of PBL with the aid of GeoGebra, it may be inferred that there are disparities in students' capacities for logical reasoning based on the non-parametric statistical test of the Wilcoxon test. These findings demonstrate that using GeoGebra in collaboration with problem-based learning improves students' capacity for logical reasoning. GeoGebra-assisted PBL is recommended to be used as a medium to assist students in developing logical reasoning in solving economic mathematics problems.
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Rahmawati, Rahmawati, Edy Kurniawan, and A. Muafiah Nur. "Identifikasi Kemampuan Berpikir Logis Mahasiswa Calon Guru Fisika Menggunakan Instrument TOLT." Jurnal Pendidikan Fisika dan Teknologi 7, no. 1 (June 20, 2021): 27. http://dx.doi.org/10.29303/jpft.v7i1.2719.
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This study aimed to identify the type of reasoning and the level of prospective physics teacher students’ logical thinking ability. This type of research was a field study with a quantitative descriptive method. The test was the technique used in collecting data of this study. The instrument used in this study was the standard test like Test of Logical Thinking (TOLT). This test consists of 10 questions that measured five types of reasoning, namely proportional reasoning, variable control, probabilistic reasoning, correlation reasoning, and combination reasoning. The level of logical thinking ability was distinguished into concrete, transitional, and formal thinking operational. The sample of this study was students of physics teacher candidates at the first-year level, totaling 30 students. All of data was analyzed by quantitative descriptive. In general, students tend to the type of proportional reasoning and controlling variables and less on probabilistic reasoning. Based on the level of logical thinking ability, the results showed that the percentage of 30 students who were in the concrete, transitional, and formal categories, respectively, were 30%, 30%, and 60%. This data becomes the basis for consideration in the development of learning models and learning assessments used in lectures, especially in Department of Physics Education in one of the University in Makassar city, so that they are able to contribute to the development of students' level of logical thinking skills as a provision for the next life.
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Sopian, Herman. "Deskripsi Kemampuan Berpikir Logis dan Pemahaman Konsep Sistem Hormon pada Siswa Kelas XI SMA." Edubiologica Jurnal Penelitian Ilmu dan Pendidikan Biologi 7, no. 2 (December 28, 2019): 85. http://dx.doi.org/10.25134/edubiologica.v7i2.3023.
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This study aimed to obtain information about logical thinking ability and understanding of the concept of students on the hormonal system material. This study was conducted in class XI in one of the high schools in the Serang city. The method used is descriptive quantitative. This quantitative descriptive method to describe, explain and interpret the logical thinking ability and understanding of students on the hormonal system concept by using instruments such as diagnostic tests and about the three-tier test and test of logical thinking (TOLT). The sampling technique is done by cluster random sampling as many as 33 students. Based on the results obtained TOLT that categorized either proportional reasoning, reasoning control variable and low category correlational reasoning, and reasoning probability and combinatorial reasoning sufficient category. Based on the three-tier test results showed that students had difficulty understanding especially on subconcepts hormone function as well as differences in the hormone system and nervous system�
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Tambunan, Janwar. "ANALISIS MODEL PEMBELAJARAN BLENDED LEARNING TERHADAP PEMAHAMAN DAN PENALARAN LOGIS MAHASISWA." Jurnal Suluh Pendidikan 9, no. 2 (September 29, 2021): 80–89. http://dx.doi.org/10.36655/jsp.v9i2.587.
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This study aims to determine whether the increase in students' understanding ability with the blended learning learning model is better than the understanding ability of students whose learning uses conventional learning models in terms of every aspect of understanding ability and whether the increase in students' logical reasoning with the blended learning learning model is better than students' logical reasoning. with conventional learning models. This study uses a quantitative research approach with experimental methods in the form of quasi-experiments. The population in this study were students of the Christian religious education study program, FKIP University HKBP Nommensen. The population was taken randomly (Cluster Random Sampling). The instrument used consisted of a test of understanding and logical reasoning in the form of a description. The instrument was declared to have met the requirements of content validity and reliability coefficient. Based on the results of the analysis, the research results obtained that the increase in students' understanding abilities with the blended learning learning model is better than the understanding abilities of students whose learning uses conventional learning models, and the increase in students' logical reasoning with the blended learning learning model is better than the logical reasoning of students with conventional learning models
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Sartor, Giovanni. "The Logic of Proportionality: Reasoning with Non-Numerical Magnitudes." German Law Journal 14, no. 8 (August 1, 2013): 1419–56. http://dx.doi.org/10.1017/s2071832200002339.
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This paper aims at explaining the basic logical structure of proportionality assessments, under the assumption that such assessments are based on quantitative reasoning, even when no numbers are given.
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Syafitri, Rani, Zetra Hainul Putra, and Eddy Noviana. "Fifth Grade Students’ Logical Thinking in Mathematics." JOURNAL OF TEACHING AND LEARNING IN ELEMENTARY EDUCATION (JTLEE) 3, no. 2 (July 31, 2020): 157. http://dx.doi.org/10.33578/jtlee.v3i2.7840.
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The purpose of this study was to investigate fifth-grade students’ logical thinking in mathematics. Their logical thinking skills were categorized based on five levels, namely very low, low, medium, high and very high. This study used descriptive quantitative method, and it was conducted with 123 fifth-grade students from a public elementary school in Pekanbaru, Riau, Indonesia. The instruments used to collect data were logical thinking ability tests consisting of short answer tasks and mathematical reasoning for the given answers. The results of this study indicated that students have very low logical thinking within the average score of 22.76%. More than half of students could not give correct answers to the given tasks and also could not provide reasoning to their answers. The implication of this study is that teachers, teacher educators, curriculum developers, and government need to develop learning instruction that support students’ logical thinking in facing challenges in 21st century life.
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M. H. Gedig and S. F. Stiemer. "Qualitative & Semi-Quantitative Reasoning Techniques for Engineering Projects at Conceptual Stage." Electronic Journal of Structural Engineering 3 (January 1, 2003): 67–88. http://dx.doi.org/10.56748/ejse.331.
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During the development of engineering projects, the level of uncertainty is not static. The level of uncertainty typically diminishes from the early, conceptual stages of the project to the latter, detailed stages. At the present time there are many tools available to the engineer for reasoning with relatively low levels of uncertainty. Unfortunately there are few resources available for drawing sound conclusions from information that is characterized by a high level of uncertainty. Since decisions made early in the project cycle generally have a greater financial impact than those made later, it is worthwhile to investigate tools which are able to provide systematic and logical evaluation of preliminary or conceptual designs. This paper investigates sound techniques for evaluating projects at the early stages, including qualitative reasoning and semi-quantitative reasoning. The paper shows that qualitative analysis methods enable the engineer to reason with a high level of abstraction. As a normal engineering project progresses, more numeric information becomes available, and the results of semi-quantitative reasoning become more useful.
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Ibeling, Duligur, and Thomas Icard. "Probabilistic Reasoning Across the Causal Hierarchy." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10170–77. http://dx.doi.org/10.1609/aaai.v34i06.6577.
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We propose a formalization of the three-tier causal hierarchy of association, intervention, and counterfactuals as a series of probabilistic logical languages. Our languages are of strictly increasing expressivity, the first capable of expressing quantitative probabilistic reasoning—including conditional independence and Bayesian inference—the second encoding do-calculus reasoning for causal effects, and the third capturing a fully expressive do-calculus for arbitrary counterfactual queries. We give a corresponding series of finitary axiomatizations complete over both structural causal models and probabilistic programs, and show that satisfiability and validity for each language are decidable in polynomial space.
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M. H. Gedig and S. F. Stiemer. "Computer Application to Study Engineering Projects at the Early Stages of Development." Electronic Journal of Structural Engineering 3 (January 1, 2003): 43–66. http://dx.doi.org/10.56748/ejse.330.
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This paper describes a computer software application, the Qualitative Engineering System (QES), which the engineer can use to perform qualitative and semi-quantitative analysis of preliminary engineering designs. In engineering practice, many situations arise in which the engineer wishes to perform a logical, objective comparison between conceptual or preliminary design options. Although there exist many applications which can be used to perform detailed numerical analysis to justify detailed final designs, relatively fewuseful programs are available to validate designs at the preliminary stages. The early stages of design are characterized by higher levels of uncertainty than the latter stages. Established qualitative and semiquantitative reasoning techniques may be used to detail with uncertainty and incomplete information in a sound, logical manner. The QES application utilizes a unified framework, which is used to implement a number of qualitative and semi-quantitative reasoning techniques. This paper gives an explanation of qualitative and semi-quantitative analysis in the context of the QES application. In addition, the paper gives some practical examples of how the QES program can be used in the engineering environment
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Niu, Yue, Jonathan Sterling, Harrison Grodin, and Robert Harper. "A cost-aware logical framework." Proceedings of the ACM on Programming Languages 6, POPL (January 16, 2022): 1–31. http://dx.doi.org/10.1145/3498670.
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We present calf , a c ost- a ware l ogical f ramework for studying quantitative aspects of functional programs. Taking inspiration from recent work that reconstructs traditional aspects of programming languages in terms of a modal account of phase distinctions , we argue that the cost structure of programs motivates a phase distinction between intension and extension . Armed with this technology, we contribute a synthetic account of cost structure as a computational effect in which cost-aware programs enjoy an internal noninterference property: input/output behavior cannot depend on cost. As a full-spectrum dependent type theory, calf presents a unified language for programming and specification of both cost and behavior that can be integrated smoothly with existing mathematical libraries available in type theoretic proof assistants. We evaluate calf as a general framework for cost analysis by implementing two fundamental techniques for algorithm analysis: the method of recurrence relations and physicist’s method for amortized analysis . We deploy these techniques on a variety of case studies: we prove a tight, closed bound for Euclid’s algorithm, verify the amortized complexity of batched queues, and derive tight, closed bounds for the sequential and parallel complexity of merge sort, all fully mechanized in the Agda proof assistant. Lastly we substantiate the soundness of quantitative reasoning in calf by means of a model construction.
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Yahya, Zaid Sameer, and Abid Hmood Ali. "A Logical Pragmatics Study of Argument in Islamic-Christian Debates." Journal of Tikrit University for Humanities 29, no. 3, 2 (March 30, 2022): 29–61. http://dx.doi.org/10.25130/jtuh.29.3.2.2022.23.
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Lately, pragmatics has attracted the attention of linguists and philosophers. It has been integrated into many fields of study that have contributed to the study of language. A debate is a special form of an argumentative dialogue in which two or more parties take part in attacking and defending certain claims through reasoned discourse. This study has set itself to pragmatically analyze and evaluate selected arguments of religious debates. Islamic-Christian debates are specifically chosen as data for the current study because they have not received due attention in language studies. This study is essentially concerned with investigating the logical pragmatics in the context of Deedat-Swaggart‟s debate. Consequently, the study aims at: identifying the most frequently utilized logical pragmatics strategies; showing whether the pragmatic criteria are frequently kept to or violated. To fulfill the aims, it is hypothesized that debaters utilize certain logical pragmatics strategies (grounds, warrants, claims, backings, qualifiers, and rebuttals, certain types of reasoning, and argumentation schemes), the pragmatic criteria are frequently violated. The study employs a mixed method (qualitative and quantitative) to analyze the data and to verify or reject the hypotheses. The results of the study reveal that the most frequent pragmatic strategies utilized by Deedat are: grounds, deductive reasoning, argument from expert opinion. Swaggart, on the other hand, highly employs: grounds, presumptive reasoning, argument from expert opinion. The results have also shown that Deedat‟s chains of arguments are stronger and more persuasive than Swaggart‟s in terms of satisfying the logical criteria of argument evaluation.
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Altintas, Esra, and Meltem Angay. "The Effect of the Mathematics Course Taught with Logical Reasoning Methods on the Success of Students in Skill-Based Questions and Student Opinions on Teaching." Mimbar Sekolah Dasar 10, no. 3 (October 28, 2023): 472–91. http://dx.doi.org/10.53400/mimbar-sd.v10i3.56495.
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This research aimed to examine the effects of the mathematics course taught with logical reasoning methods on the success of students in skill-based questions and to examine students' opinions. In the study group of this research, 7th grade students and a total of 35 students, 18 of which were in the experimental group and 17 in the control group, were studied. Since qualitative and quantitative data are used together, the method of this research is mixed method research. In the results of the study, it was found that the pre-test and post-test averages of the experimental group students who were taught with logical reasoning methods differed significantly in favor of the post-test, the difference in the pre-test and post-test results of the control groups, who were taught with traditional methods, was not significant. It was observed that the post-test averages of the control and control groups differed significantly in favor of the experimental group. When the opinions of the experimental group students were examined, it was concluded that in the lessons taught using logical reasoning methods, the rules were reached by themselves, they were fun, and skill-based questions were difficult, but there was often a change in their thoughts.
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Saselah, Yeni Ronalisa. "Investigating Students’ Logical Thinking Abilities on Chemistry Learning." SEAQIS Journal of Science Education 3, no. 01 (June 19, 2023): 46–52. http://dx.doi.org/10.58249/sjse.v3i01.50.
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The purpose of this study is to map students’ logical thinking abilities for learning chemistry. A total of 39 eleventh grade students of SMK-SPP Negeri Samarinda in Agribusiness and Horticulture Program participated in the study. Test of Logical Thinking (TOLT) was administered to determine students’ reasoning abilities. Quantitative descriptive method was used to analyse the data. The result shows that 84,62 % students were found in the concrete level. It consists of 58,97 % male students and 25,64 % female students. Further, 7,69 % male students were found in the transition level and 7,69 % students were found in the formal level, each 2,56 % male and 5,13 % female. From the data, it can be concluded that the majority of students have the concrete level of logical thinking.
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Wirth, E., G. Szabó, and A. Czinkóczky. "MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 491–95. http://dx.doi.org/10.5194/isprs-archives-xli-b2-491-2016.
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The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).
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Wirth, E., G. Szabó, and A. Czinkóczky. "MEASURE LANDSCAPE DIVERSITY WITH LOGICAL SCOUT AGENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 8, 2016): 491–95. http://dx.doi.org/10.5194/isprsarchives-xli-b2-491-2016.
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The Common Agricultural Policy reform of the EU focuses on three long-term objectives: viable food production, sustainable management of natural resources and climate action with balanced territorial development. To achieve these goals, the EU farming and subsidizing policies (EEA, 2014) support landscape heterogeneity and diversity. Current paper introduces an agent-based method to calculate the potential of landscape diversity. The method tries to catch the nature of heterogeneity using logic and modelling as opposed to the traditional statistical reasoning. The outlined Random Walk Scouting algorithm registers the land cover crossings of the scout agents to a Monte Carlo integral. The potential is proportional with the composition and the configuration (spatial character) of the landscape. Based on the measured points a potential map is derived to give an objective and quantitative basis to the stakeholders (policy makers, farmers).
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Shim, Sangdeok, and Hyeonjeong Kim. "A Study on the Operation of College Liberal Arts Education for the Improvement of Quantitative Reasoning Competency as Data Literacy." Korean Association of General Education 17, no. 2 (April 30, 2023): 185–95. http://dx.doi.org/10.46392/kjge.2023.17.2.185.
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The goal of this study is to suggest the potential and significance of quantitative reasoning education as a college liberal arts program and to come up with methods to improve it. To do so, this study analyzed the case of <Quantitative Reasoning and Computational Thinking> at S National University, presenting its achievements, weaknesses, and improvement plans. From the first semester in 2020, <Quantitative Reasoning and Computational Thinking> at S National University has been offered as a semi-compulsory subject with the purpose of cultivating quantitative reasoning based on quantitative relationships and computational thinking for everyday algorithms. In the class, instructors refrain from using mere problem solving using mathematical and/or scientific formulas, and instead an activity-oriented learning approach is emphasized. This allows for the students to interpret quantitative data based on logical algorithms.</br>According to a survey about this subject, most students were satisfied with its contents and reported that it had helped them solve problems creatively based on quantitative and computational thinking. Nevertheless, various problematic issues such as the low enrollment of students in the humanities and social sciences, the dualization of subject operation between classes, and the difficulty in securing lecturers, were raised.</br>To address these issues, it is necessary for us to expand awareness among students that <Quantitative Reasoning and Computational Thinking> aims to promote thinking ability through the understanding and interpretation of quantitative data. Also, it is important that we have faculties that operate on a consistent basis, so that the courses offered are able to meet the goals of the subject. By applying these improvements, the effort to develop liberal arts subjects that enhance students’ data-driven scientific thinking should be continued.
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Sabharwal, Chaman L., and Jennifer L. Leopold. "Evolution of Region Connection Calculus to VRCC-3D+." New Mathematics and Natural Computation 10, no. 02 (June 3, 2014): 103–41. http://dx.doi.org/10.1142/s1793005714500069.
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Qualitative spatial reasoning (QSR) is useful for deriving logical inferences when quantitative spatial information is not available. QSR theories have applications in areas such as geographic information systems, spatial databases, robotics, and cognitive sciences. The existing QSR theories have been applied primarily to 2D. The ability to perform QSR over a collection of 3D objects is desirable in many problem domains. Here we present the evolution (VRCC-3D+) of RCC-based QSR from 2D to both 3D (including occlusion support) and 4D (a temporal component). It is time consuming to construct large composition tables manually. We give a divide-and-conquer algorithm to construct a comprehensive composition table from smaller constituent tables (which can be easily handcrafted). In addition to the logical consistency entailment checking that is required for such a system, clearly there is a need for a spatio-temporal component to account for spatial movements and path consistency (i.e. to consider only smooth transitions in spatial movements over time). Visually, these smooth movement phenomena are represented as a conceptual neighborhood graph. We believe that the methods presented herein to detect consistency, refine uncertainty, and enhance reasoning about 3D objects will provide useful guidelines for other studies in automated spatial reasoning.
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Seif, Amgad Ali. "Use of logic for improving the higher-order thinking skills of student teachers." European Journal of Interactive Multimedia and Education 4, no. 2 (July 1, 2023): e02304. http://dx.doi.org/10.30935/ejimed/13393.
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This paper is a report on the results of the intervention program designed for improving the higher-order thinking skills (HOTS) of Israeli Arab student teachers. The intervention program represents a series of webinars on the foundations of the Aristotelian logic, propositional logic, and some of the contemporary models of informal argumentation. Zoom application was used for the implementation of the webinars. This research project was designed as a pre-/post-test quantitative study with a qualitative component. A mixed-item questionnaire with two open-ended items was used to measure participants’ understanding of logical reasoning and argumentation. The results of the pilot showed good internal reliability of the scale (α<0.81). Tests of argumentation were performed to examine participants’ actual argumentation skills. The pre-intervention results indicated that many of the participants from both control and intervention groups had a vague understanding of logical reasoning and argumentation and weak argumentation competence. The post-intervention data suggested positive changes in the intervention group participants’ understanding of logical thinking and argumentation and an improvement in their actual argumentation skills. This study was planned as the first one in a series of studies aimed at using informal and formal logic to foster students’ HOTS.
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Fatima, Fozia, Saba Kamran, Maham Siddique, Sabir Ali, Nadia Shabnam, and Rabbia Javed. "Effect of Play Based Learning on the Development of Logical Reasoning in Early Childhood Education." Life and Science 2, no. 4 (September 28, 2021): 8. http://dx.doi.org/10.37185/lns.1.1.181.
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Objective: To determine the effect of play-based learning on developing logical reasoning in early childhoodeducation in Islamabad.Study Design: Quantitative quasi-experimental study and the pre-and post-experimental paradigm was used.Place and Duration of Study: The population of the current study included the students from Headstart Schoollocated in Islamabad from March 2020 to September 2020.Materials and Methods: The population was selected through cluster sampling technique. Sample size of 80students with 40 each of control and experimental group were considered le. Both the groups were taught acourse 'classification of vertebrates' in Science either through play-based (experimental group) or conventionalmethod (controlled group) in a 45 minutes session, 5 days for four weeks. A pictorial self-developed testconsisted of 6 questions based on understanding by design (UbD was used. Descriptive (percentage andfrequency) and inferential statistics were used for the analysis of data.Results: The control condition (Pre & Post) for the logical development and experimental condition (Pre & Post)was positively correlated. No effect of gender by the play-based learning in developing logical reasoning amongstudents was found in both the control and experimental group at early childhood education.Conclusion: The relationship between experimental and control conditions for the logical development byusing play-based learning was significant. The play-based activities based on the curriculum should be designed to ensure meaningful learning and long-term knowledge retention in children as it ensures a child's interest and fun factor.
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Wolter, Frank, and Michael Zakharyaschev. "A logic for metric and topology." Journal of Symbolic Logic 70, no. 3 (September 2005): 795–828. http://dx.doi.org/10.2178/jsl/1122038915.
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AbstractWe propose a logic for reasoning about metric spaces with the induced topologies. It combines the ‘qualitative’ interior and closure operators with ‘quantitative’ operators ‘somewhere in the sphere of radius r’ including or excluding the boundary. We supply the logic with both the intended metric space semantics and a natural relational semantics, and show that the latter (i) provides finite partial representations of (in general) infinite metric models and (ii) reduces the standard ‘ε-definitions’ of closure and interior to simple constraints on relations. These features of the relational semantics suggest a finite axiomatisation of the logic and provide means to prove its EXPTIME-completeness (even if the rational numerical parameters are coded in binary). An extension with metric variables satisfying linear rational (in)equalities is proved to be decidable as well. Our logic can be regarded as a ‘well-behaved’ common denominator of logical systems constructed in temporal, spatial, and similarity-based quantitative and qualitative representation and reasoning. Interpreted on the real line (with its Euclidean metric), it is a natural fragment of decidable temporal logics for specification and verification of real-time systems. On the real plane, it is closely related to quantitative and qualitative formalisms for spatial representation and reasoning, but this time the logic becomes undecidable.
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Aulia Handayani, Gina, Sistiana Windyariani, and Rizqi Yanuar Pauzi. "Profil Tingkat Penalaran Ilmiah Siswa Sekolah Menengah Atas Pada Materi Ekosistem." BIODIK 6, no. 2 (June 24, 2020): 71–81. http://dx.doi.org/10.22437/bio.v6i2.9411.
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Scientific Reasoning is the systematic and logical thinking skills for problem solving. The purpose of this preliminary study is to find out the scientific reasoning profile of students in grade XI of Sukabumi City Public High School on Ecosystem material which was conducted in February in the 3rd week in one of the Sukabumi City State High Schools. This research uses descriptive method, the approach used is quantitative approach. Samples were taken using a purposive sampling technique of 30 students. This research instrument was in the form of a scientific reasoning test developed by Lawson namely the LCTSR (Lawson Classroom Test of Scientific Reasoning) type. The questions used consist of 35 multiple choice questions with LCTSR type with 6 indicators of scientific reasoning namely proportional, probabilistic, correlational, identification and control of variables, volume conservation and hypothetic-deductive. Data analysis with scoring technique is done in pairs which gives a description of the pattern and level of students' scientific reasoning abilities. From the results of the study showed that the scientific reasoning profile of class XI State Senior High School students in Sukabumi City in 2019/2020 had the highest reasoning pattern in the transitional operational category of 76.7% and had a level of scientific reasoning in the less-than-average category. average percentage of 30.05%. But these results must still be improved again by using methods, models and learning approaches that are able to train students' scientific reasoning.
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Din, Dr Muhammad, Dr Riaz Hussain, and Dr Muhammad Asif. "Finding Correlation between Critical Thinking and Deduction Making Skill: A Study at Bachelor Level in Pakistan." International Research Journal of Education and Innovation 2, no. 3 (December 31, 2021): 106–18. http://dx.doi.org/10.53575/irjei.v2.03(21)10.106-118.
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Deductive reasoning, or deduction, is one of the two basic types of logical inference. Deductive reasoning means a kind of reasoning in which the truth of conclusion (the output proposition) is logically guaranteed by the truth of the premises (the input proposition). This study has aimed to evaluate university students’ critical thinking ability of making and recognizing deductions. To explore this aim, the present study has set two research objectives which include to know university students’ attitude towards the critical thinking skill of deduction making and to evaluate university students’ performance in the critical thinking skill of deduction making. To achieve these objectives, the researcher has used quantitative research methodology. The participants of this study consist of 550 male and female university students of different state-run colleges of Punjab (Pakistan). Critical thinking inventory (CTI) and Watson-Glaser’s Critical Thinking Appraisal (WGCTA) (2002) have been used to collect data from the subjects of the study. The researcher used SPSS (XX) to analyze the collected data. The findings of this study reveal that the university students have highly positive attitude towards critical thinking skill of making deductions but their level of critical thinking and their ability to reflect critical thinking in their test of making deductions does not correspond with their attitude towards this skill of critical thinking.
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Erdem, Yasemin, and Bilge Gök. "The effects of mental games on third graders’ reading comprehension skills in Turkish classes." South African Journal of Education 42, Supplement 1 (December 31, 2022): S1—S10. http://dx.doi.org/10.15700/saje.v42ns1a2198.
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With the study reported on here we set about to reveal the effects of mental games on third graders’ reading comprehension skills in Turkish classes. The study group comprised 71 students, 35 of whom were included in the experimental group, and 36 in the control group. The experimental group played simple to difficult mental games selected by the researcher for 2 hours per week for 10 weeks. In the control group, the students continued with the traditional teaching process which excluded the playing of mental games until the end of the semester. Mental games like Whatzizz, detective, Q-bitz, Target 5, six, 3 stone, 9 stone, Skippity, Reversi, Kulami, that correspond to skills such as attention-concentration, reasoning, logical inference, and strategic thinking, were used. The study was conducted as a quasi-experimental pre-test/post-test control group design. The quantitative data were collected through the reading comprehension skill test. The pre-test data and the post-test-data collected through the test constituted the research data. The research data were analysed by using the 2-factor ANOVA test for mixed designs. The post-test scores of the students in the experimental group were higher than those of the students in the control group. The findings obtained from the quantitative analysis indicate that mental games had a positive effect on the Turkish reading comprehension of students in the experimental group as well as positive effects on students’ skills such as strategic thinking, logical inference and reasoning.
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Popova, Yuliya, Marzhan Abdualiyeva, Yerlan Torebek, and Pulat Saidakhmetov. "Factors propelling mathematics learning: insights from a quantitative empirical study." International Journal of Evaluation and Research in Education (IJERE) 13, no. 2 (April 1, 2024): 1159. http://dx.doi.org/10.11591/ijere.v13i2.27322.
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Mathematics learning (ML) is a fundamental aspect of education that lays the groundwork for various academic disciplines and practical applications. Understanding the factors that propel ML is crucial for optimizing educational outcomes. This quantitative empirical study investigates the impact of logical reasoning (LR), critical thinking (CT), information technology (IT), and distance learning (DL) on ML. The study employs structural equation modeling (SEM) using SmartPLS 4 for data analysis and hypothesis testing. The findings reveal that LR, CT, IT, and DL positively influence ML. The results highlight the importance of fostering LR, CT, and the integration of IT in mathematics education. This study contributes to the existing body of knowledge by providing insights into the factors that promote effective ML. These findings have implications for educators, policymakers, and curriculum developers, aiding in the design of instructional strategies and the integration of technology to enhance ML outcomes.
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Bombio, Winmark, and Anna Liza Del Rosario. "English Language Proficiency and Geometric Proof Skills of Students." International Journal of Science, Technology, Engineering and Mathematics 2, no. 2 (June 6, 2022): 29–47. http://dx.doi.org/10.53378/352890.
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Educational reforms and curriculum development were continuously implemented for quality and inclusive education for all learners. As proficiency in English language became an issue, it has also been a burden in studying mathematics, specifically geometry, which is mainly written and taught in English Language. Hence, this study utilized descriptive correlational design in describing the students’ proficiency in English language, specifically in reading comprehension, and Geometric proof skills in terms of correctness, appropriateness, logical reasoning, and clarity. Additionally, random sampling technique was used in choosing 30 mathematics students at a state university in Laguna. The quantitative data revealed that the respondents were proficient in terms of reading comprehension. However, with the presence of socio-cultural differences, their answers were influenced by environmental interference. On the other hand, the students performed advanced level in all aspects of Geometric proof skills. It was also found out that there is a significant relationship between reading comprehension and the correctness of proof and logical reasoning. Contrary to the results of the two components of geometric proof skills, reading comprehension has no significant relationship to both appropriateness and clarity. Based from the findings, the study suggests educators expose their students to a wide variety of reading materials in enhancing geometric proof skills.
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Chirove, Munyaradzi, David Mogari, and Ogbonnaya Ugorji. "Students’ mathematics-related belief systems and their strategies for solving non-routine mathematical problems." Waikato Journal of Education 27, no. 3 (December 9, 2022): 101–21. http://dx.doi.org/10.15663/wje.v27i3.822.
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This study explored students’ mathematics-related beliefs and the relationship between the beliefs and their strategies for solving non-routine mathematical problems. The study was guided by Daskalogianni and Simpson’s 2001 belief systems categories and strategies for non-routine mathematical problems. The participants were 625 grade 11 students from five high schools in Tshwane North District, Gauteng province of South Africa. Data were collected using a mathematics beliefs questionnaire, a mathematics problem-solving test and interview. Quantitative and qualitative research techniques were used for data analysis. It was found that the students held all the three belief systems (utilitarian, systematic and exploratory) at different degrees of intensity and the belief systems and strategies for problem-solving had a weak positive linear relationship, and there were no statistically significant differences among mean scores of the students holding systematic, exploratory and utilitarian beliefs. They apply unsystematic guess, check and revise; systematic guess, check and revise; systematic listing; looking for patterns; consider a simple case; modelling; logical reasoning; no logical reasoning; trial-and-error and use a formula in solving non-routine mathematical problems. Furthermore, it was found that the systematic belief system could explain the students’ behaviour in problem-solving more than the exploratory and utilitarian belief systems.
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Libertini, Lorenzo, Ekaterina Chuprikova, and Liqiu Meng. "Effect of Geospatial Uncertainty Borderization on Users’ Heuristic Reasoning." Proceedings of the ICA 4 (December 3, 2021): 1–8. http://dx.doi.org/10.5194/ica-proc-4-66-2021.
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Abstract. A set of mental strategies called "heuristics" – logical shortcuts that we use to make decisions under uncertainty – has become the subject of a growing number of studies. However, the process of heuristic reasoning about uncertain geospatial data remains relatively under-researched. With this study, we explored the relation between heuristics-driven decision-making and the visualization of geospatial data in states of uncertainty, with a specific focus on the visualization of borders, here termed "borderization". Therefore, we tested a set of cartographic techniques to visualize the boundaries of two types of natural hazards across a series of maps through a user survey. Respondents were asked to assess the safety and desirability of several housing locations potentially affected by air pollution or avalanches. Maps in the survey varied by "borderization" method, background color and type of information about uncertain data (e.g., extrinsic vs. intrinsic). Survey results, analyzed using a mixed quantitative-qualitative approach, confirmed previous suggestions that heuristics play a significant role in affecting users' map experience, and subsequent decision-making.
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BAUER, SEBASTIAN S., LINE JUHL, KIM G. LARSEN, AXEL LEGAY, and JIŘÍ SRBA. "Extending modal transition systems with structured labels." Mathematical Structures in Computer Science 22, no. 4 (May 8, 2012): 581–617. http://dx.doi.org/10.1017/s0960129511000697.
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We introduce a novel formalism of label-structured modal transition systems that combines the classical may/must modalities on transitions with structured labels that represent quantitative aspects of the model. On the one hand, the specification formalism is general enough to include models like weighted modal transition systems and allows system developers to employ more complex label refinement than in previously studied theories. On the other hand, the formalism maintains the desirable properties required by any specification theory supporting compositional reasoning. In particular, we study modal and thorough refinement, determinisation, parallel composition, conjunction, quotient and logical characterisation of label-structured modal transition systems.
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Wu, Yanyi. "Evaluating ChatGPT: Strengths and Limitations in NLP Problem Solving." Highlights in Science, Engineering and Technology 94 (April 26, 2024): 319–25. http://dx.doi.org/10.54097/z15ne349.
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This paper critically analyzes ChatGPT’s problem-solving performance on a range of natural language processing (NLP) tasks. Using a comparative methodology, it compares ChatGPT’s performance with that of its predecessor, GPT-3.5, in seven different domains: summarization, named entity recognition, arithmetic, natural language inference, symbolic and logical reasoning, question answering, conversation, and arithmetic. The process entails a methodical assessment highlighting ChatGPT’s replies’ quantitative and qualitative elements. The findings show that although ChatGPT performs very well on math and question-answering tasks, it struggles with summarization and commonsense reasoning. The conversation sheds light on the subtleties of these findings while considering the applications and development of AI. The article concludes that although ChatGPT is a significant progress in natural language processing, its uneven problem-solving performance highlights the need for continued development and optimization of artificial intelligence models. This study aids in understanding the state and promise of AI-driven language models in challenging problem-solving situations.
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Maghribi, Andre Nurul, and Aristiawan Aristiawan. "THE INFLUENCE OF THE BRITISH STYLE DEBATE LEARNING MODEL BASED ON LOGICAL INFERENCE IN ENHANCING STUDENTS' SCIENTIFIC THINKING ABILITIES." INSECTA: Integrative Science Education and Teaching Activity Journal 4, no. 2 (November 30, 2023): 160–69. http://dx.doi.org/10.21154/insecta.v4i2.7465.
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Science education should be able to help students acquire scientific thinking skills. However, the reality in the field shows that the average value of students' scientific thinking is only 65.35%, which is classified as moderate. to overcome this problem, the implementation of the English Style Debate Learning model based on logical reasoning was introduced to students. The purpose of this study is to determine the impact of the implementation of this model on students at SMPN 1 Sambit, Ponorogo. the research method used is quantitative with experimental type. The research design used was quasi-experimental design. the sampling technique used was cluster random sampling. The one-tailed t-test results showed that students' scientific thinking skills when using the logical inference-based English Style Debate Learning model were superior to their skills when using the Generative Learning model. Overall, students who were treated with the logical inference-based English-style debate learning model obtained an average score of 86.1. The results of this study are expected to be able to elaborate scientific thinking problems and become a reference for the application of innovative and fun learning models.
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Baba, Hind, Touri Bouzekri, Khaoula Khennou, and Aziz Kasmi. "Reasoning Disorders Tests and School Success: A Study of the Correlation Between Tests, Reasoning Disorders and Success Rates in Affected Children in Morocco." Journal of Educational and Social Research 14, no. 3 (May 5, 2024): 208. http://dx.doi.org/10.36941/jesr-2024-0067.
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Early detection of reasoning disorders has become a national priority; however, despite concerted efforts, certain children still receive late diagnoses. Notably, this study found that children of Moroccan origin were more susceptible to delayed diagnoses. The primary objective of this research was to identify specific tests relevant to various types of reasoning disorders and to establish the correlation between diagnostic assessments for reasoning disorders and academic performance, using quantitative methods. The study employed a non-experimental, correlational research design. Furthermore, the following variables were taken into account: gender, disorders, and success rates. The sample consisted of 621 students from three schools (colleges) under the jurisdiction of the Bouskoura provincial government. Data collection was carried out by completing a questionnaire developed by speech therapists from GEPALM (Study Group on the Psychopathology of Logical-Mathematical Activities) and Cogi'Act (a research group dedicated to promoting speech therapy research). The collected data were analyzed using IBM SPSS Statistics 21 software. The results revealed a significant correlation (p-value = 0.013) between tests identifying different types of reasoning disorders and the percentage of academic success. The correlation was found to be of high intensity, accounting for 81.6% of all correlations. Additionally, various types of reasoning disorders exhibited significant correlations with the success rate, indicating a strong negative intensity (r = -0.816). The strength of the correlation varied depending on the specific relationship and the type of reasoning disorder. In conclusion, this study emphasizes the need for further research to fully comprehend the impact of reasoning disorders on academic success. Additionally, it highlights the necessity of effective and tailored educational interventions for each type of reasoning disorder. Received: 16 December 2023 / Accepted: 19 April 2024 / Published: 5 May 2024
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Saha, Amrita, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, and Soumen Chakrabarti. "Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs." Transactions of the Association for Computational Linguistics 7 (November 2019): 185–200. http://dx.doi.org/10.1162/tacl_a_00262.
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Recent years have seen increasingly complex question-answering on knowledge bases (KBQA) involving logical, quantitative, and comparative reasoning over KB subgraphs. Neural Program Induction (NPI) is a pragmatic approach toward modularizing the reasoning process by translating a complex natural language query into a multi-step executable program. While NPI has been commonly trained with the ‘‘gold’’ program or its sketch, for realistic KBQA applications such gold programs are expensive to obtain. There, practically only natural language queries and the corresponding answers can be provided for training. The resulting combinatorial explosion in program space, along with extremely sparse rewards, makes NPI for KBQA ambitious and challenging. We present Complex Imperative Program Induction from Terminal Rewards (CIPITR), an advanced neural programmer that mitigates reward sparsity with auxiliary rewards, and restricts the program space to semantically correct programs using high-level constraints, KB schema, and inferred answer type. CIPITR solves complex KBQA considerably more accurately than key-value memory networks and neural symbolic machines (NSM). For moderately complex queries requiring 2- to 5-step programs, CIPITR scores at least 3× higher F1 than the competing systems. On one of the hardest class of programs (comparative reasoning) with 5–10 steps, CIPITR outperforms NSM by a factor of 89 and memory networks by 9 times. 1
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Carson, Ewart R. "Measurement, Models and Medicine: Computer Modelling in hEalth Care Delivery." Measurement and Control 26, no. 4 (June 1993): 105–8. http://dx.doi.org/10.1177/002029409302600403.
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Computational modelling is becoming of increasing importance in assisting with, and enhancing, the processes of decision-making in clinical medicine and in health care delivery, processes which depend upon the effective interpretation of data yielded by measurement practice. Using conceptual models of health care delivery, a framework can be established within which the role of specific computational modelling paradigms can be clearly identified. Some of the methodological issues which underpin computer modelling are considered across the range of realizations (mathematical, logical, statistical and graphical) that find application in the clinical and health care domains. Examples are given of both quantitative modelling and qualitative model-based reasoning as important adjuncts to measurement practice.
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Chen, Zhihua, Abaid ur Rehman Virk, Mustafa Habib, Tariq Javed Zia, Imran Ahmed, Ce Shi, and Waqas Nazeer. "Irregularity Indices of Dendrimer Structures Used as Molecular Disrupter in QSAR Study." Journal of Chemistry 2019 (December 4, 2019): 1–21. http://dx.doi.org/10.1155/2019/5371254.
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Dendrimers are rising polymeric structures known for their flexibility in medication conveyance and high usefulness, whose properties are same biomolecules. These nanostructured macromolecules have shown potential capacities in capturing as well as conjugating the high subatomic weight hydrophilic/hydrophobic substances by host-visitor collaborations and covalent holding (prodrug approach) individually. In quantitative structure-property relationships (QSPR), topological indices are utilized to gather properties of dendrimers. Topological indices catch symmetry of dendrimer structures and give it a logical reasoning to predict properties, for instance, viscosity, boiling points, the radius of gyrations, etc. In this report, we intend to examine dendrimers through irregularity indices that are valuable in QSPR studies. We studied sixteen irregularity indices if diverse dendrimer structures.
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Brunchukova, N. M. "Forming the Ability of Junior Schoolchildren to Structure the Program Material in the Process of Solving the Learning Problem." Vestnik of North Ossetian State University, no. 1 (March 25, 2024): 60–67. http://dx.doi.org/10.29025/1994-7720-2024-1-60-67.
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This article presents the results of a study devoted to determining the procedure for developing the ability of primary schoolchildren to select and structure educational information to solve an educational task. The study was based on the assumption that the ability to work with educational material necessary to complete an educational task, methodically correctly structuring it, will influence the effectiveness of the results of educational activities. For this purpose, a procedure for developing this skill was developed, which includes three interconnected, logically constructed stages. At the first stage, junior schoolchildren were presented with a sample of constructing reasoning about the selection of program material necessary to perform a specific educational task, where the role of the teacher was played by a student who was able to explain the reasoning and justify the sequence of operations. The purpose of the second stage is to test a methodology for similar work on teaching the structuring of program material in dialogic speech, where one of the younger schoolchildren acts as a teacher, and the second as a student, then the roles change. Based on the results of the work, an intermediate conclusion was made about its effectiveness (quality of completion of the educational task) and the correctness of the choice of teaching methods for structuring the “working” material. At the third stage, the task was set of teaching the transmission of program material structured in accordance with the logic of reasoning in the process of dialogic speech with the participation of several partners. The results of the study allow us to speak about the significance of this skill and its impact on the effectiveness of educational activities. It is concluded that the method proposed by the author is effective, as evidenced by the qualitative and quantitative analysis of the results of the experimental work. Mastering this skill also leads to other pedagogical results: enriching the learning experience of younger schoolchildren, promoting mastery of forms of logical reasoning, and stimulating the cognitive activity of younger schoolchildren.
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Herman, Sebastian, and Mohd Mahyudi Bin Mohd Yusop. "Revisiting An Islamic Approach to Humanities: A Critical Review." AL-FALAH : Journal of Islamic Economics 6, no. 1 (June 28, 2021): 1. http://dx.doi.org/10.29240/alfalah.v6i1.2904.
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Purpose: The study aims to develop a relevant counter-argument and supporting justification on ideas offered by Zaman (2014) in his paper titled "An Islamic Approach to Humanities." Design/Method/Approach: This study adopts a quantitative approach in form of a literature survey, discourse and critical content analysis. For achieving the goal, we capitalize on Ghazi (2006) to support the argument that the source of knowledge is not only through observations. Kalin (2016) and Zarkasyi (2018) are being used to show that Islam encourages reasoning and observations. To support the argument that Islamic economics can be positivistic, we use Abdullahi (2018) as a related paper to deal with that issue. Findings: The study found that Islamic Economics can use the tools of logical positivists in its observation as long as such tools do not contradict the logical structure of the Islamic worldview. Social science like Islamic economics is only an avenue to see the expression of free will that Allah gives to the human being by observing the pattern of human behavior. When the results can describe closer to reality, it can survive and support the development of social science itself. Originality/Values: The main contribution of this study is to clarify the position of Islamic economics on the logical positivism method and its implication in value integration.
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Wang, Zheng, Xuesheng Zhao, Wenbin Sun, Fuli Luo, Yalu Li, and Yuanzheng Duan. "Correlation Analysis and Reconstruction of the Geometric Evaluation Indicator System of the Discrete Global Grid." ISPRS International Journal of Geo-Information 10, no. 3 (February 27, 2021): 115. http://dx.doi.org/10.3390/ijgi10030115.
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Although a Discrete Global Grid (DGG) is uniform in its initial subdivision, its geometric deformation increases with the level of subdivisions. The Goodchild Criteria are often used to evaluate the quality of DGGs. However, some indicators in these criteria are mutually incompatible and overlap. If the criteria are used directly, the evaluation of the DGGs is inaccurate or unreliable. In this paper, we calculated and analyzed the correlation between the evaluation indicators of the DGG and reconstructed a quality evaluation system of DGGs with independent indicators. Firstly, we classified the Goodchild Criteria into quantitative and qualitative indicators. Then, we calculated the correlation among the quantitative indicators and extracted the independent evaluation factors and related weights of the observed values by factor analysis. After eliminating or merging the incompatible and overlapping quantitative indicators and performing a logical reasoning of the qualitative indicators, we reconstructed a comprehensive evaluation system with independent indicators. Finally, taking the Quaternary Triangular Mesh (QTM) model as an example, we verified the independence of the indicators and the feasibility of the evaluation system. The new indicator system ensures the reliability of the evaluation of DGGs in many fields.
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Ratika Isti, Adelina, and Sugini Sugini. "The Effect of Income On The Selection of The Price of Wall Painting Materials In Low Income Community Home Construction (MBR)." Devotion Journal of Community Service 3, no. 13 (November 22, 2022): 2474–84. http://dx.doi.org/10.36418/dev.v3i13.291.
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Indonesia is no longer a developing country, but has grown gradually to become a developed country. In fact, according to The Office of the United States Trade Representative (USTR), which released the official release on Saturday 22 February 2020, Indonesia is no longer in the developing country category. The Ministry of Public Works and Public Housing (PUPR) admits that housing development for low-income people (MBR) is currently experiencing a number of obstacles. This study aims to determine the effect of income on the price of wall paint materials. The methodology to be used in this study is a rationalistic quantitative methodology. Quantitative research method is research that is full of nuances of numbers in data collection techniques in the field. Quantitative research has characteristics namely hard sciences, 'brief' and narrow focus, reductionistic, logical and deductive reasoning, knowledge base: causal relationships testing theories, control over variables, instruments, basic elements of analysis: numbers, statistical data analysis, generalization Based on statistical tests using the IBM SPSS application, the results obtained are in the form of a very strong influence between monthly income on the choice of wall paint material prices in the construction of houses for Low Income Communities (MBR).
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Ningrum, Tika Widiya, Rif’ati Dina Handayani, and Maryani Maryani. "INVESTIGASI KEMAMPUAN BERNALAR ILMIAH SISWA MELALUI IMPLEMENTASI MODEL PROBLEM BASED LEARNING MATERI FISIKA FLUIDA STATIS." Jurnal Pendidikan Fisika 12, no. 1 (May 2, 2024): 68. http://dx.doi.org/10.24127/jpf.v12i1.9433.
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In this 21st century, students are required to have skills in facing the challenges of globalization, one of which is scientific reasoning skills. Scientific reasoning is the ability to think systematically and logically to solve problems. Six indicators of scientific reasoning ability include conversion reasoning, proportional reasoning, variable control, probabilistic reasoning, correlation reasoning, and hypothesis-deductive reasoning. Scientific reasoning ability can be improved by using learning models that encourage students to think at a higher level, one of which is the Problem Based Learning (PBL) model. The purpose of this research is to determine the scientific reasoning ability of students through the application of the PBL model on static fluid physics material. This type of research is descriptive quantitative and qualitative. This research was conducted in class XI MIPA 4 SMAN 3 Jember. Data collection techniques in this study using observation techniques, interviews, tests, and documentation. Data analysis techniques in this study are data collection, data reduction, data presentation, data interpretation, and conclusion drawing. The results obtained are the average score of students' reasoning ability on the six indicators of scientific reasoning in the very good category. So it is concluded that the PBL model can improve students' scientific reasoning ability in static fluid physics material.
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Kanodia, Ambika, Anushree Chakraborty, Arunima Saha, and Pousali Ghosh. "Importance of English Language In Competitive Examinations : An Awareness Stduy." International Journal of English Learning & Teaching Skills 3, no. 2 (January 1, 2021): 2033–50. http://dx.doi.org/10.15864/ijelts.3208.
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Competitive Examinations are held to examine the IQ, the Logical Quotient and the Analytical Understanding of the candidate. Generally all competitive examinations have few subjects in common like Quantitative Aptitude, Logical Reasoning and English Language. English is a language that is widely spoken and understood by people all over the globe. Being one of the most commonly used languages, English has occupied its place in competitive examinations in order to understand the reading, writing and understanding skills of candidates. Communication skills of a person are evaluated partly on the marks scored in paper of English Language in the various competitive examinations. Most of the educational institutions today have designed their curriculum where English is taught and learned as first language and mother tongue becomes the second language. This is a small example to prove the importance of English in our education system as well as well as our careers. When people sit for competitive examinations either for further studies or for various government or private jobs, English is an unavoidable paper. This somehow depicts the importance of English Language in various Competitive Examinations. Proper use of the language is also regarded as a skill developed with continuous practice and learning techniques. Learning English and gaining a fluency in the language widens the career prospects.
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Liskardani, Pamel, Nurhizrah Gistituati, and Yahya Yahya. "Proses Komunikasi Organisasi Penelitian Mengenai Proses Komunikasi pada Dinas Pendidikan Kabupaten Solok Selatan dengan Permasalahannya dan Pengaruhnya terhadap Pegawai." Jurnal Bahana Manajemen Pendidikan 9, no. 2 (December 22, 2020): 8. http://dx.doi.org/10.24036/jbmp.v9i2.110375.
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AbstractThis study at the Solok Selatan District Education Office using a quantitative approach as a research method. The analysis used is descriptive analysis with a logical empirical approach as evidence in order to justify the researchers' beliefs or vice versa to build an analysis or conclusion. Data were obtained by the researcher as the main instrument through the interview process with key informants, field notes, recording devices and cameras. The research location is the South Solok Regency Education Office, while the research informants in this case varied based on the accuracy of the selection of key informants who mastered the problem with the snowball sampling technique. The results showed the organizational communication process at the South Solok Regency Education Office was understood by various kinds of reasoning, from complex understanding to simple understanding. Organizational communication here appears to have many barriers to its impact on performance
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CLARINDO, WELLINGTON, Suelen Ferreira Da Conceição, Andreia Weiss, Tiago de Souza Marçal, and Adésio Ferreira. "A QUALITATIVE AND QUANTITATIVE APPROACH ABOUT A LUDIC STRATEGY FOR TEACHING-LEARNING: THE TRIOMINOES OF GENETICS." Revista Guará, no. 13 (March 11, 2022): 38–49. http://dx.doi.org/10.30712/guara.v1i13.29235.
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Learning is a systematic and interactive process that involves the exchange of information between pupils and teachers. The knowledge constructed during the learning process represents the basis for the cognitive, emotional and psychomotor education of the student, further contributing to the teacher's formation. Among the different subjects approached during basic education, and especially secondary school, Genetics is one that presents complex concepts, making it difficult for pupils to comprehend and therefore learn. With the aim of facilitating the process of teaching-learning the basic concepts of Genetics, the present study elaborated and applied a new ludic proposal, the game Triominoes. In this scope, Triominoes was created with 40 triangular tiles containing, on each face, complementary terms and concepts. Based on the answers to a questionnaire applied after the activity, this ludic strategy was analyzed qualitatively and quantitatively. Through these analyses, the Triominoes helped in the teaching-learning process, the development of logical-deductive reasoning, exploring the cognitive, emotional and psychomotor abilities of the learners. Therefore, Triominoes can be considered an innovative, viable and low-cost pedagogical material, which could be routinely employed for the teaching of Genetics as well as other contents from different subjects of the basic, secondary and higher education.
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Fei, Wenjun, Jiyang Wu, Ying Shi, and Qi Chen. "CONSTRUCTION OF DISASTER PREVENTION CAPABILITY EVALUATION FRAMEWORK OF URBAN PARK SYSTEM: METHODOLOGY AND ITS APPLICATION IN CHINA." Journal of Environmental Engineering and Landscape Management 28, no. 1 (January 15, 2020): 9–19. http://dx.doi.org/10.3846/jeelm.2020.10790.
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The construction of disaster prevention capability evaluation framework is the basic requirement of building a sustainable and harmonious society under the background of urban public security. This study had constructed a framework for disaster prevention capability assessment of urban park systems applicable to China through rigorous logical reasoning and careful selection of indicators. The framework contains 4 first-level indicators and 8 second-level indicators and 21 third-level indicators. Quantitative methods and calculating procedures for each indicator and dynamic weight were also given in this paper. Finally, in order to prove the practical value of the evaluation system designed in this study, five cities in China were selected for application. The results showed that the indicator system can not only accurately quantify the disaster prevention capability of the urban park system, but also discover the shortcomings in the process of urban park system construction, which has strong theoretical and practical value
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XU, DONG-LING. "ASSESSMENT OF NUCLEAR WASTE REPOSITORY OPTIONS USING THE ER APPROACH." International Journal of Information Technology & Decision Making 08, no. 03 (September 2009): 581–607. http://dx.doi.org/10.1142/s021962200900351x.
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Two technically feasible nuclear waste repository options have been identified in Belgium. To select one for implementation, a study was carried out to compare the public perception and acceptance of the two options. In this paper, it is described how the study and selection process can be supported, and how the diversity and uncertainty in public opinions can be rationally modeled and analyzed by applying the Evidential Reasoning (ER) approach. The ER approach is a recent advancement for multi-criteria decision analysis (MCDA). By using belief decision matrices to model MCDA problems, both qualitative and quantitative information with various types of uncertainties can be taken into account in decision-making processes in a unified and logical format. Following an illustration of the ER approach and an outline of the selection problem, it is described how the ER approach can be used to model the problem, aggregate information, and facilitate sensitivity analysis. Some suggestions are made for future assessment studies.
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Amalia, Dina, Ivan Hanafi, and Taryudi. "The Influence of Multimedia-Interactive Project-Based Learning Models on The Metacognitive Abilities, Critical Thinking Abilities and Fiber Optic Communication Learning Outcomes." Journal of Scientific Research, Education, and Technology (JSRET) 3, no. 2 (April 6, 2024): 512–34. http://dx.doi.org/10.58526/jsret.v3i2.380.
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Critical thinking as a component in the high-level thinking process uses the basis of analyzing arguments and generating insight into each meaning and interpretation to develop cohesive and logical reasoning patterns. This research used quantitative research methods and aimed to determine the metacognitive abilities, critical thinking abilities, and learning outcomes of students before and after being treated through posttest pretest with control class and experimental class, so the research method used by researchers is quasi experimental. The research design used is Nonequivalent Control Group Design. The results of the pre-test statistical hypothesis test show that the significance value obtained in the independent sample t-test shows a significance value of 0.767 or in other words the significance value is greater than the alpha degree of 5% ( 0.767 > 0.05) so it can be said that there is no real difference in the average value of learning outcomes of XI SMK Telkom Jakarta between the experimental group and the control group.
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Dalim, Siti Fairuz, Sharipah Ruzaina Syed Aris, Teoh Sian Hoon, Fazyudi Ahmad Nadzri, Sayang Mohd Deni, Norasikin Yahya, and Ellianawati M. Si. "Framework for Numeracy and Digital Skills Attributes in Higher Education." Research in Social Sciences and Technology 8, no. 3 (August 12, 2023): 16–35. http://dx.doi.org/10.46303/ressat.2023.18.
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Numeracy and digital skills are among the most crucial skills that any graduate should possess before entering the workforce, regardless of their field of study. Therefore, both skills should not be treated as an “add on” skill but viewed as essential graduate attributes needing to be purposefully incorporated into the curriculum instead of mere chance. By understanding the learners’ numeracy and digital skills abilities, educators can create suitable learning outcomes, activities, and assessments, enabling them to acquire the skills. The objective of this study is to create a framework for testing numeracy (NSI) and digital skills (DSI) using a cross-sectional design and quantitative methodology. The research entails generating a questionnaire, verifying it via a rigorous procedure of expert content validation, and focusing on sufficiency, clarity, coherence, and relevance. A pilot study involving 218 students from various disciplines was conducted to measure the reliability of the framework using Cronbach Alpha. Feedback from experts was then used to enhance the questionnaire, resulting in the finalisation of five components for the Digital Skills Instrument (DSI): information literacy, computer and technology literacy, digital communication and collaboration skills, digital identity and well-being, and digital ethics. Meanwhile, the five components of the Numeracy Skills Instrument (NSI) encompassed operation and calculation, graphical representation, quantitative reasoning and logical thinking, complex number (advanced concept), spatial visualisation and geometric reasoning. The results indicated a strong internal consistency across all components for both tools, with alpha values ranging from 0.847 to 0.958 for DSI and 0.916 to 0.964 for NSI. Corrected item-total correlations also depicted intercorrelation between items for both instruments. To sum up, the findings demonstrate that the DSI and NSI have high reliability and validity. Because both tools are reliable and valid for measuring digital and numeracy skills in the Malaysian context, they can be confidently used for future research.
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Maqbool, Akram, and Samina Ashraf. "Teaching Mathematics to Students with Visual Impairment Studying at the Primary Level: Role of Multisensory Approach." Sustainable Business and Society in Emerging Economies 5, no. 3 (September 30, 2023): 225–38. http://dx.doi.org/10.26710/sbsee.v5i3.2709.
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Purpose: The study of mathematics helps students develop their cognitive abilities. By emphasizing the quantitative and dimensional characteristics of the objects, it establishes the basis for logical reasoning. In mathematics, students who are visually challenged often struggle with a lack of conceptual understanding and difficulties with the disequilibrium stage of the reasoning process. (Jones, 2018).
Design/Methodology/Approach: The purpose of this research is to inquire into the difficulties and solutions utilized by primary school educators who work with students who have vision problems. The main objective of the research was to provide an overview of mathematics educators' current efforts to incorporate a multi-sensory approach into their pedagogy for students with impaired vision. It was a quantitative research and descriptive research design was used. The study comprised 100 school-level VI special education teachers. Data for this study was collected via convenient sampling.
Findings: The statistical analysis showed that the majority of teachers were not utilizing the multisensory approach (tactile, auditory & kinesthetic etc.) and helping material to improve the mathematical skills of the VI students. Most of the teachers lacked specialization in mathematics, and learning conditions were unsuitable while teaching mathematics to SWVI. Majority of Teachers were not utilizing multisenses while teaching mathematics to students with visual impairment.
Implications/Originality/Value: This study indicates that SWVI were facing problems because their teachers were not utilizing appropriate teaching material while teaching mathematics, lacked effective teaching skills and there was an inappropriate use of adaptive tools while teaching mathematics to SWVI. p-Value 0.016 is < 0.05. displays that there is a statistically significant difference in the opinion of the teachers based on their educational qualifications on the importance of using a multisensory approach to enhance the mathematical skills of SWVI.
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Solihin, Nana, Wahidin Wahidin, and Anna Fitri Hindriana. "Development of AKM Class: Analysis Correlation of AKM Value on Students Logical Thinking Skills of 8 Grade Junior High School." Journal of Education Research and Evaluation 7, no. 1 (March 20, 2023): 108–14. http://dx.doi.org/10.23887/jere.v7i1.39100.
Full textAbstract:
The current unresolved problems in education in Indonesia include the weak literacy skills and numeracy skills that occur in students. One way to measure literacy and numeracy skills is through assessment. One form of assessment is through the Minimum Competency Assessment (AKM) which is carried out in class. This study aims to analyze the correlation between AKM classes with logical thinking skills. The research method uses mixed methods. This research was conducted in 3 junior high schools in eighth grade with different geographic locations. There are 60 respondents in total. The data collection technique used by the researcher used a written test in the form of AKM class questions, and for secondary data was an interview. Quantitative data analysis was carried out through prerequisite tests such as validity, reliability, and discriminatory power, level of difficulty, normality test, homogeneity test, and one way ANOVA test. The results of the analysis of the AKM literacy and numeracy AKM scores show that students' reading skills and numeracy skills are categorized as being in the low category. This means that students are still at the level of knowing and understanding. For this reason, it is very important to increase students' reasoning at a higher level in order to realize the implementation of curriculum 2013.
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Chu, Feng. "Quantitative evaluation of university teaching quality — an application of fuzzy set and approximate reasoning." Fuzzy Sets and Systems 37, no. 1 (August 1990): 1–11. http://dx.doi.org/10.1016/0165-0114(90)90058-e.
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Kusumaningtyas, Eryana Ramadani. "THE EFFECT OF THE PROBLEM BASED LEARNING ON MATHEMATICAL REASONING AND PROOFING ABILITY IN TERMS OF LEARNING STYLE." Prima: Jurnal Pendidikan Matematika 8, no. 1 (January 31, 2024): 159. http://dx.doi.org/10.31000/prima.v8i1.9457.
Full textAbstract:
Mathematics is the main foundation at various levels of education so that students need to be equipped with mathematics in order to have the ability to reason, think logically, systematically and critically in dealing with various problems. There are several factors that cause low reasoning abilities in schools, some of which are the use of learning methods or models while in class. An appropriate learning model for students can improve mathematical reasoning and proving abilities. Learning styles which are divided into three, namely visual, auditory and kinesthetic can also be a factor in low reasoning abilities. The purpose of this study is to identify the impact of the Problem Based Learning model on mathematical reasoning and proof skills, taking into account variations in learning styles. The population in this study were all 8th grade student at SMP Negeri 1 Gatak. The samples taken were two classes taken randomly using simple random sampling technique. This research is a quantitative research with a quasi experiment. The instruments used in this study consisted of a learning style questionnaire, pretest and posttest. The findings from this study are as follows: 1) The use of the Problem Based Learning (PBL) model has a significant impact on students' abilities in mathematical reasoning and proof; 2) Learning style has no effect on students' mathematical reasoning and proving abilities; 3) No interaction was detected between learning models and learning styles in influencing students' mathematical reasoning and proving abilities.