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Journal articles on the topic 'Learning approach'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Geeganage, Dakshi T. K., and Asoka S. Karunananda. "Ontology Driven Continuous Learning Approach." International Journal of Knowledge Engineering-IACSIT 1, no. 1 (2015): 37–42. http://dx.doi.org/10.7763/ijke.2015.v1.6.

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2

Prata, David N., Patrick Letouze, Stefano Cerri, and Evandro Costa. "A Game Approach to Assessing Learning Outcomes." International Journal of Information and Education Technology 6, no. 2 (2016): 137–42. http://dx.doi.org/10.7763/ijiet.2016.v6.673.

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3

Kamath, Dr R. S., Dr S. S. Jamsandekar, and Dr P. G. Naik. "Machine Learning Approach for Employee Attrition Analysis." International Journal of Trend in Scientific Research and Development Special Issue, Special Issue-FIIIIPM2019 (March 20, 2019): 62–67. http://dx.doi.org/10.31142/ijtsrd23065.

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4

Kurkin, Andrey Vladimirovich, and Anna Aleksandrovna Myshkina. "Distance learning approach." Nedelya nauki Sankt-Peterburgskogo gosudarstvennogo morskogo tekhnicheskogo universiteta 2, no. 4 (2020): 43. http://dx.doi.org/10.52899/9785883036063_598.

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5

Aboulnoor, A., and L. Aboulnoor. "Learning System Approach." Egyptian Journal for Engineering Sciences and Technology 9, no. 1 (June 1, 2005): 9–10. http://dx.doi.org/10.21608/eijest.2005.96628.

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6

Gopal, Jagadeesh. "An Approach for Facial Recognition Using Deep Learning." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 137–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201247.

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7

A, Tanko. "A Machine Learning Approach to Modeling Pore Pressure." Petroleum & Petrochemical Engineering Journal 4, no. 1 (2020): 1–6. http://dx.doi.org/10.23880/ppej-16000213.

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Machine Learning techniques and applications have lately gained a lot of interest in many areas, including spheres of arithmetic, finances, engineering, dialectology, and a lot more. This is owing to the upwelling of ground-breaking and sophisticated machine learning procedures to exceedingly multifaceted complications along with the prevailing advances in high speed computing. Numerous usages of Machine learning in daily life include pattern recognition, automation, data processing and analysis, and so on. The Petroleum industry is not lagging behind also. On the contrary, machine learning approaches have lately been applied to enhance production, forecast recoverable hydrocarbons, augment well placement by means of pattern recognition, optimize hydraulic fracture design, and to help in reservoir characterization. In this paper, three different machine learning models were trained and utilized to explore the feasibility of forecasting pore pressure of a well. The machine learning algorithms include, Simple Linear Regression, Decision Stump and Multilayer Perceptron (ANN). The predictive accuracies of the algorithm was analyzed using statistical measures. Five (5) parameters were utilized as input variables in the models: hydrostatic pressure, overburden pressure, observed and normal sonic velocities and pore pressure. 80% of the data was used in training while the remaining 20% was used for testing of the models. A sensitivity analysis of the five variable was conducted so as to identify correlations of the variables. Results of the sensitivity analysis revealed that both hydrostatic and overburden pressures appear to have the strongest correlation with pore pressure (0.766) and closely followed by normal compacted sonic velocity (0.753). Meanwhile, observed sonic velocity has the least correlation (0.046). The models were appraised by determining their Relative Absolute Errors. Results indicate that Multilayer Perceptron has the best prediction and least Relative Absolute Error of 5.77%. While the Decision Stump model had a Relative absolute error of 54.41%. The Simple Linear Regression had a relative absolute error of 67.93%. By and large, all three models appear to be suitable for modeling pore pressure but the Multilayer Perceptron is the most accurate.

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8

Dingli, Alexiei, and Karl Sant Fournier. "Financial Time Series Forecasting – A Deep Learning Approach." International Journal of Machine Learning and Computing 7, no. 5 (October 2017): 118–22. http://dx.doi.org/10.18178/ijmlc.2017.7.5.632.

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9

Tabassum, Kanij, Afsana A. Memi, Nasrin Sultana, Ahmed W. Reza, and Surajit D. Barman. "Food and Formalin Detector Using Machine Learning Approach." International Journal of Machine Learning and Computing 9, no. 5 (October 2019): 609–14. http://dx.doi.org/10.18178/ijmlc.2019.9.5.847.

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10

Chouiten, Mehdi, and Romain Ekert. "A Machine Learning Approach to Spinoff Investment Optimization." International Journal of Trade, Economics and Finance 9, no. 4 (August 2018): 182–85. http://dx.doi.org/10.18178/ijtef.2018.9.4.612.

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11

Rozi, Fathor, Rosidah Rosidah, Mamluatun Ni’mah, Hilyatul Masun, Khasyiffah Juaeriyah, and Maimuna. "Blended Learning Approach in Arabic Learning." Journal of Physics: Conference Series 1779, no. 1 (February 1, 2021): 012065. http://dx.doi.org/10.1088/1742-6596/1779/1/012065.

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12

MUSTAPHA, BASSIR. "Learning styles of adults and metacognitive approach to E-Learning "... Towards a cognitive and social constructivist view of learning"." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 1 (June 28, 2017): 484–91. http://dx.doi.org/10.18844/gjhss.v3i1.1810.

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13

Dr. S.Vijayarani, Dr S. Vijayarani, and M. Sangeetha M.Sangeetha. "A Novel Privacy Preserving Approach for Decision Tree Learning." Indian Journal of Applied Research 4, no. 3 (October 1, 2011): 136–39. http://dx.doi.org/10.15373/2249555x/mar2014/40.

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14

Gardie, Birhanu, Smegnew Asemie, and Kassahun Azezew. "Anyuak Language Named Entity Recognition Using Deep Learning Approach." Indian Journal of Science and Technology 14, no. 39 (September 18, 2021): 2998–3006. http://dx.doi.org/10.17485/ijst/v14i39.1163.

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15

Bourne, Paul. "Coaching Approach for Teaching and Learning - A Book Review." Journal of Advanced Research in Applied Mathematics and Statistics 03, no. 03 (August 28, 2018): 25–38. http://dx.doi.org/10.24321/2455.7021.201801.

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16

Maindalkar, Advait, Sarvesh Gharat, and Prof Vinod Rathod. "Learning Game Development Life Cycle through Project-Based Approach." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1302–5. http://dx.doi.org/10.31142/ijtsrd11314.

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17

M.Kavitha, M. Kavitha, and Dr AR Saravanakumar Dr.AR.Saravanakumar. "A Modern Approach In Teaching – Learning Process Of Arithmetic." International Journal of Scientific Research 1, no. 4 (June 1, 2012): 35–36. http://dx.doi.org/10.15373/22778179/sep2012/12.

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18

Khalil, Ashraf, Hassan Hajjdiab, and Nabeel Al-Qirim. "Detecting Fake Followers in Twitter: A Machine Learning Approach." International Journal of Machine Learning and Computing 7, no. 6 (December 2017): 198–202. http://dx.doi.org/10.18178/ijmlc.2017.7.6.646.

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19

Jimmington, Anjana. "A Baseline Based Deep Learning Approach of Live Tweets." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 829–33. http://dx.doi.org/10.31142/ijtsrd23918.

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20

Yonekawa, Yasuhiro. "Paramedian Supracerebellar Transtentorial SCTT Approach(LEARNING OLD CREATING NEW)." Japanese Journal of Neurosurgery 19, no. 3 (2010): 221–24. http://dx.doi.org/10.7887/jcns.19.221.

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21

Işık, Ali Hakan, Murat İnce, and Tuncay Yiğit. "A Fuzzy AHP Approach to Select Learning Management System." International Journal of Computer Theory and Engineering 7, no. 6 (December 2015): 499–502. http://dx.doi.org/10.7763/ijcte.2015.v7.1009.

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22

Debnath, Tanmoy, and Suvvari Sai Dileep. "A Deep-Learning based Approach for Automatic Lyric Generation." International Journal of Science and Research (IJSR) 11, no. 11 (November 5, 2022): 382–86. http://dx.doi.org/10.21275/sr221104005352.

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23

Setyaningrum, W. "Self-regulated learning in blended learning approach." Journal of Physics: Conference Series 1320 (October 2019): 012089. http://dx.doi.org/10.1088/1742-6596/1320/1/012089.

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24

Dževerdanović Pejović, Milena. "Learning technical genres – a blended learning approach." Pomorstvo 34, no. 2 (December 21, 2020): 212–22. http://dx.doi.org/10.31217/p.34.2.2.

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Research studies dedicated to the application of blended learning in modern linguistics are on the rise. With the interdisciplinary nature of science and curricula, researchers are combining traditional methods with contemporary digital sources and text processing tools. Regardless of the many methods and approaches recommended, there is no set methodology widely proven to be successful, due to different student profiles, language competences and the learning environment. This paper presents the results of the blended learning approach taken at the University of Montenegro’s Faculty of Maritime Studies in Kotor. The traditional teaching approach has been combined with genre and discourse knowledge, with the support of digital and internet tools. The goal of the research is to demonstrate that students of the English for Specific Purposes (ESP) course may benefit from genre- and linguistics-based knowledge applied in the technical and digital environment. Moreover, it is argued that a corpus- and genre-based approach to teaching professional genres provides an opportunity to enrich ESP classes. This approach has primarily proved to be beneficial in teaching technical and engineering genres. Language precision is the essence of effective language competence.

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25

Lim, Jiyoung, Inae Kang, and Jung-A. Choi. "‘Connected Learning Approach’ as A Learning Approach for Developing A Relational Leadership Program." Journal of Corporate Education and Talent Research 22, no. 1 (March 30, 2020): 33–66. http://dx.doi.org/10.46260/kslp.22.1.2.

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26

Blinova, Tat'yana Leonidovna. "CONVERGENT APPROACH IN LEARNING." Pedagogical Education in Russia, no. 8 (2018): 42–48. http://dx.doi.org/10.26170/po18-08-06.

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27

Tagaeva, D., and Zh Toktomambetova. "Competent-oriented Learning Approach." Bulletin of Science and Practice 6, no. 8 (August 15, 2020): 263. http://dx.doi.org/10.33619/2414-2948/57/30.

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The article discusses the tasks of personality-oriented learning, different models of developing learning of a modern school. Technologies for building and implementing a personality-oriented educational process. Modern innovative approaches to learning, forms and means of training are presented.

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28

Dusane, Jyotsna, Sonal Misal, Priyanka Patil, Vidya Katara, and Sunita Suralkar. "BrightSide: Creative Learning Approach." International Journal of Computer Applications 183, no. 9 (June 21, 2021): 24–28. http://dx.doi.org/10.5120/ijca2021921388.

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29

Maynard, Marianne. "An Experiential Learning Approach." Physical & Occupational Therapy In Geriatrics 5, no. 2 (February 24, 1987): 51–69. http://dx.doi.org/10.1300/j148v05n02_06.

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30

Maynard, Marianne. "An Experiential Learning Approach." Physical & Occupational Therapy In Geriatrics 5, no. 2 (January 1987): 51–69. http://dx.doi.org/10.1080/j148v05n02_06.

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31

Eshel, Neir, and Elizabeth E. Steinberg. "Learning what to approach." PLOS Biology 16, no. 10 (October 11, 2018): e3000043. http://dx.doi.org/10.1371/journal.pbio.3000043.

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32

Kulkarni, Madhuri, Sarika Kalantre, Shubhangi Upadhye, Sunil Karande, and Sanjeev Ahuja. "Approach to learning disability." Indian Journal of Pediatrics 68, no. 6 (June 2001): 539–46. http://dx.doi.org/10.1007/bf02723250.

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33

NJIS, Erfan Efendi, and Muhammad Hisyam. "Al Ghazali's Learning Approach." Nusantara Journal of Islamic Studies 3, no. 1 (March 20, 2022): 45–58. http://dx.doi.org/10.54471/njis.2022.3.1.45-58.

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Some experts try to develop a variety of conceptual perspectives to find the best and most efficient learning approach design. Likewise, Muslim scholars also seem to be trying to contribute to the development of learning approaches. This article attempts to reveal the idea of Imam Al Ghozal as an Islamic scholar's perspective. The focus studied is the content of the book ayyuhā al-walad fī nasīhati al-muta'allimīn wa maw'izatihim liya'lamū wa yumayyizū 'ilman nāfi'an min gayrihi and efforts to formulate the perspective learning approach of the book. The study was carried out with a library research approach with content analysis techniques. The findings of the study provide a conclusion that the formulation of a learning approach needs to be directed at strengthening general science and religion in a balanced way. Not only strengthening religious scholarship, al Ghozali's ideas in the book studied emphasize the theocentric transformation to theo-anthrophocentric in religious learning.

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34

Mahmud, Muchammad Eka, Faizatul Widat, and Anwar Fuadi. "Learning Management System in Streamlining Learning through Seamless Learning Approach." AL-ISHLAH: Jurnal Pendidikan 13, no. 2 (August 2, 2021): 874–84. http://dx.doi.org/10.35445/alishlah.v13i2.787.

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This study aims to analyze and understand the learning management system in learning effectively through a seamless learning approach at Islamic Elementary School Nurul Anwar. This research uses a qualitative case study approach. The data collection technique is done through observation, interviews, and documentation. At the same time, the data analysis was carried out through the stages of data display, data reduction, and concluding. The results of the study indicate that learning system management through a seamless learning approach at SD Islam Nurul Anwar in making learning effective is carried out; 1) User-friendly, 2) User Interface, 3) Parental involvement, 4) learning with an online learning system, outside the network (luring), and mobile teachers (guling). This research has implications for the importance of teachers in utilizing various existing and available resources to make their learning effective as optimally as possible.

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35

Fell, R. F. "Adult learning and action learning — A real workplace learning approach." Journal of Agricultural Education and Extension 6, no. 2 (September 1999): 73–81. http://dx.doi.org/10.1080/13892249985300191.

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36

Ahmad, Johanna. "Towards Prioritize Event Sequence Test Cases Using Machine Learning Approach." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1642–47. http://dx.doi.org/10.5373/jardcs/v12sp7/20202269.

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37

S, Vairachilai. "Machine Learning Approach for Fetal Heartbeat and Uterine Contractions Monitoring." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 637–43. http://dx.doi.org/10.5373/jardcs/v12sp8/20202565.

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38

Lamovsek, Alma Zavodnik. "Interdisciplinary approach to project based learning: Experience through student workshops." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 5 (July 23, 2017): 95–103. http://dx.doi.org/10.18844/prosoc.v3i5.2009.

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39

Zhi-Rong Zhong, Zhi-Rong Zhong, Hong-Fu Zuo Zhi-Rong Zhong, Shi-Ying Lei Hong-Fu Zuo, Jia-Chen Guo Shi-Ying Lei, and Heng Jiang Jia-Chen Guo. "Semi-supervised Learning Based EEG Detection Approach for Rehabilitation Engineering." 電腦學刊 33, no. 3 (June 2022): 099–111. http://dx.doi.org/10.53106/199115992022063303008.

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<p>A semi-supervised learning based EEG signal detection method was studied in this paper. The feature engineering system of this paper was established, which contains novel AutoEncoders mapping features. The optimal channel combination for all subjects was determined to improve recognition accuracy by ReliefF algorithm and recursive feature elimination. What’s more, the semi-supervised learning method based on pseudo-labelling was introduced to the character recognition method, in which the training samples were dynamically reorganized and updated, so that the proposed method could complete the symbol recognition with limited number of training samples. Based on the features extacted and the optimal channel combination, the recognition accuracy of the character recognition method can reach up to 100%.</p> <p> </p>

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40

Shaikh, Ms Anjum, Ms Firdos Shaikh, and Mr Suhaib Ramzan Prof M. M. Patil. "Clinical Depression Detection Using Speech Feature With Machine Learning Approach." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 1437–40. http://dx.doi.org/10.31142/ijtsrd14363.

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41

B P, Preethi, Veena M, Rekha M, and Savitri R. Sahukar. "Innovative Tutorial With Case Based Approach And Peer Assisted Learning." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 02, no. 02 (June 15, 2012): 74–78. http://dx.doi.org/10.58739/jcbs/v02i2.4.

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42

Ghareb, Mazen Ismaeel, and Saman Ali Mohammed. "Blended Learning Mobility Approach and English Language Learning." UHD Journal of Science and Technology 3, no. 2 (June 20, 2019): 1. http://dx.doi.org/10.21928/uhdjst.v3n2y2019.pp1-9.

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Although the benefits of blended learning have been well documented in educational research, relatively few studies have examined blended mobilities in education in Kurdistan region government and in Iraq. This study discusses a blended mobility approach for a teacher training program designed for in-service English language teachers (ELT) and investigates its effectiveness by comparing the latest participation of the University of Human Development for computer science and proposing the same program for training English for lecturers and students. The research involved proposes new mobility program for teaching and learning English language and using their language skills in an ongoing business project using several software for communication and management of their projects. Results will show the framework for new blended learning and blended mobilities of many different English language teaching (ELT) aspects.

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43

Aberbach, Hicham, Adil Jeghal, Abdelouahed Sabri, Hamid Tairi, and Loubna Laaouina. "A Personalized Learning Approach based on Learning Speed." Journal of Computer Science 17, no. 3 (March 1, 2021): 242–50. http://dx.doi.org/10.3844/jcssp.2021.242.250.

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44

Asmiliyah, Asmiliyah, Khaerudin Khaerudin, and Etin Solihatin. "Mobile Learning with STEM Approach in Physics Learning." Journal of Education Research and Evaluation 5, no. 4 (August 4, 2021): 606. http://dx.doi.org/10.23887/jere.v5i4.34275.

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Most of the physics done in schools is more about learning on knowledge and understanding of the material, without developing problem-solving skills and applying concepts in real-life contexts. Students still often use the plug & chug and memory-based approach in solving physical problems. It causes students to be able to solve simple quantitative issues but cannot solve more complex issues. This study aims to produce mobile learning with a feasible and practical STEM approach for physics lessons. This research is a Research and Development (R&D) using the Alessi and Trollip model. The model consists of three stages of development, namely planning, design, and development. The methods used to collect data are interviews and questionnaires. The instrument used to collect data is a questionnaire. The technique used to analyze the information is descriptive qualitative and quantitative analysis. Based on trials conducted by learning design experts, media experts, and materials experts and direct effectiveness tests using products with tangible goals. It was found that mobile learning applications with a STEM approach were feasible and effective in physical learning. Combining STEM approaches and problem-based learning models with mobile learning can be one of the suitable lessons for making. This study indicates that the development of cross-platform mobile learning applications with a STEM approach is feasible and effective in learning physics.

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45

MALKAWI, Mohammad. "Knowledge Acquisition Base Learning: An Interactive Learning Approach." Eurasia Proceedings of Science Technology Engineering and Mathematics 16 (December 31, 2021): 132–39. http://dx.doi.org/10.55549/epstem.1068571.

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The Corona Covid-19 Pandemic revealed a deep deficiency in the current e-learning system. Many of the current e-Learning schemas have pursued their goals in conventional ways, albeit transferring the lecture hall to an online medium presentation. In essence, there had been little innovation above traditional classroom lecturing. In this paper, we propose a novel approach aimed at optimizing the learning outcomes of learning per student. Namely, we propose Iterative and Interactive e-Learning Platform, where the main focus is shifted towards the learner, i.e., the student. The role of the instructor is directed more towards the construction and presentation of interactive education material in a manner to enable the learner to acquire the minimum required knowledge and to achieve the intended outcomes in the most effective manner. Therefore, the proposed model is a knowledge-acquisition based learning management system (KA-LMS). Unlike the traditional ways of classroom or online lecturing, a student using KA-LMS is expected to achieve a quality of learning, never before achieved via standard offline or online pedagogical methodologies. The Iterative and Interactive KA-LMS is sought to enable various academic institutions to achieve quality standards in both online and on premise setup, thus avoiding the calamities of pandemics, such as the one imposed by the Corona Covid-19. The proposed KA-LMS will enable graduates to achieve the required skills and knowledge, which allow them to compete in a more vigorous and competitive marketplace at the local and global levels. The proposed KA-LMS has the inherent capability to monitor and control the progress of the learner entity based on the quantity and quality of the knowledge acquired by the learner. The proposed model will be tested in school and college environments, with real education subjects.

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46

Tamascelli, Nicola, Riccardo Solini, Nicola Paltrinieri, and Valerio Cozzani. "Learning from major accidents: A machine learning approach." Computers & Chemical Engineering 162 (June 2022): 107786. http://dx.doi.org/10.1016/j.compchemeng.2022.107786.

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47

Fitriati. "ASSESSING STUDENTS’ LEARNING IN PROJECT-BASED LEARNING APPROACH." Visipena Journal 7, no. 1 (June 30, 2015): 38–50. http://dx.doi.org/10.46244/visipena.v7i1.292.

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Students’ passive learning has motivated educators constantly to seek innovative ways to encourage students and improve their learning outcomes. Project-Based Learning (PBL) may be a particularly productive method for transforming practice in ways that support students learning. However, the implementation of PBL is challenging because it requires substantial change to teaching and assessment. The purpose of this paper is to explore new assessment methods that are needed in assessing students’ performance in PBL and how teachers can employ these methods in their practices. The insights provided by Project-Based Learning approach are essential for promoting effective teaching and learning. PBL provides students with an opportunity to engage in the learning process by working collaboratively to solve real-world problem. Moreover, PBL offers the potential to help students become reflective and flexible thinkers who can use knowledge to take an action. This paper emphasizes that the formative approach should be integrated throughout the assessment process, but it should be balanced with observation and tests or tasks in order to provide comprehensive information about student progress and outcomes. Sustained project-based learning is not a simple task for teachers, therefore, teachers need to be involved in professional development programs to get more understanding about what and how assessment might be realized in the project-based approach.

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48

Schrueder, Rehana. "Cooperative Learning as an Approach to Learning Science." European Journal of Intercultural studies 9, no. 2 (July 1998): 195–208. http://dx.doi.org/10.1080/0952391980090210.

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49

Cooperstein, Susan E., and Elizabeth Kocevar‐Weidinger. "Beyond active learning: a constructivist approach to learning." Reference Services Review 32, no. 2 (June 2004): 141–48. http://dx.doi.org/10.1108/00907320410537658.

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50

Huysman, Marleen. "An organizational learning approach to the learning organization." European Journal of Work and Organizational Psychology 9, no. 2 (June 2000): 133–45. http://dx.doi.org/10.1080/135943200397905.

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