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Artículos de revistas sobre el tema "Student performance"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Harco, Leslie Hendric Spits Warnars, Fahrudin Arif, and Herry Utomo Wiranto. "Student performance prediction using simple additive weighting method." International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 630–37. https://doi.org/10.11591/ijai.v9.i4.pp630-637.

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In the world of student education is an important component where the role of students is as someone who is psychologically ready to receive lessons or other input from the school. However, each student has different performance and development, therefore it is important to do monitoring so that student performance will always be monitored by the school for improving student quality maintenance. Also, in the process of valuing education for students needs to be done by giving an appreciation in the form of giving gifts or just giving words and motivation so that students can perform better in

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Kale, Radhika. "Student Performance Prediction for Education." International Journal of Scientific Engineering and Research 6, no. 4 (2018): 90–91. https://doi.org/10.70729/ijser172461.

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Suscano, Shaine, Ivie Mahilum, Joshua Quipse, et al. "The Role of Student Engagement in Shaping Academic Performance." Psychology and Education: A Multidisciplinary Journal 31, no. 5 (2025): 520–25. https://doi.org/10.5281/zenodo.14772893.

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This study investigated the relationship between student engagement and academic performance among 119 Grade 11 students at Buenavista Integrated School in Zamboanga City, Philippines, for the school year 2024-2025. Employing a descriptive-correlational research design, the study utilized adapted survey questionnaires and school records to assess engagement and academic performance, respectively. Results revealed high levels of student engagement, particularly in areas related to family support and perceived educational value. Academic performance was categorized as "Satisfactory" with a mean

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Sugiarto, Meilani. "ANALISIS PERCEIVED ENJOYMENT SEBAGAI VARIABEL ANTISEDEN TECHNOLOGY ACCEPTANCE MODEL." Performance 24, no. 1 (2017): 58. http://dx.doi.org/10.20884/1.performance.2017.24.1.315.

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Young people was active users of the information technology, especially internet. Even some of them tend to make the internet as a medium of the main support daily activities. These study indicate that internet use among young people, especially college student tend to have a model of its own behavior, making it attractive for further investigation. These study focus on the influence of perceived enjoyment as variables anticedent in the Technology Acceptance Model (TAM). The respondents of these study were college student as internet users in Yogyakarta, the province is considering a student c

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Maturan, John Carlo, Mathena Pauline Comandante, Nova Jane Jabines, et al. "Assessing Student Satisfaction with Student Leaders' Performance." Journal of Educational Research and Practice 2, no. 3 (2024): 1–20. http://dx.doi.org/10.70376/jerp.v2i3.204.

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This study investigates the satisfaction levels of Grade 9 students at St. Paul University of Surigao regarding the performance of their student council. Recognizing the vital role that student leaders play in fostering a supportive educational environment, the research aims to assess key performance areas, including leadership skills, approachability, communication skills, and contributions to school activities. Utilizing a quantitative descriptive design, data were collected through a researcher-made questionnaire administered to a randomly selected sample of 134 students. The findings revea

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Abdullah, AL HUSSAIN. "The Effect of WhatsApp Application on Saudi Electronic University Students' and the Role of Student Engagement on Academic Performance." International Journal of Novel Research in Computer Science and Software Engineering 10, no. 1 (2023): 12–17. https://doi.org/10.5281/zenodo.7578904.

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<strong>Abstract:</strong> Digital applications have enhanced the educational experience and students performing. This paper discussed the effect of WhatsApp application on students engagement and its role on academic performance. The research addressed five hypotheses to determine the role of WhatsApp usage on student engagement. The paper also considered some influential factors that are affected using WhatsApp, including major. The intended research method the study would take was the quantitative approach using the survey to collect the data from the students. It aimed to understand the ef

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Johargy, Dr Ayman, Dr Pushpamala Ramaiah, and Dr Ibtesam Nomani Lamia Ahmed Elsayed Grace Lindsey. "Student Nurses Academic Performance- Multidimensional Constructs." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 818–22. http://dx.doi.org/10.31142/ijtsrd23144.

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Laxmi, A. Sindura, and Sandeep Patil. "The Student Performance Monitoring Using ARM9." International Journal of Scientific Research 1, no. 7 (2012): 66–69. http://dx.doi.org/10.15373/22778179/dec2012/27.

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Aishwarya, T. G., O. D. Vijay Raju Goud, Lakkireddy Vinay, and Lakshme Arthee C. "Student Performance Prediction Using Machine Learning." International Journal of Research Publication and Reviews 6, no. 5 (2025): 11040–44. https://doi.org/10.55248/gengpi.6.0525.1889.

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Shetty, Isha D., Dipshi Shetty, and Sneha Roundhal. "Student Performance Prediction." International Journal of Computer Applications Technology and Research 8, no. 5 (2019): 157–60. http://dx.doi.org/10.7753/ijcatr0805.1003.

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Zeluff, Karen A. "Improving Student Performance." Academic Therapy 24, no. 1 (1988): 95–98. http://dx.doi.org/10.1177/105345128802400116.

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Sawalkar, Prof M. S., Shubham Bhore, Santosh Doiphode, Nilesh Sonawane, and Vinayak Sunkewar. "Student Performance Prediction." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 3855–62. http://dx.doi.org/10.22214/ijraset.2024.62370.

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Abstract: Academic integration is now defined by how students are able to access, and effectively interact with, and are supported by engineering faculty and staff; Academic integration, which is a very important construct that contributes to a student’s persistence and ultimate graduation. But, several factors, either numeric or non-numeric can have varying degrees of influence on academic performance of students. Rankings of aforementioned factors, hopefully, will assist the management in order to initiate corrective action with a view to students' academic performance improvement. In an aca

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13

Truong, The Doan, and Xiem Thuy Cao. "UNDERGRADUATE STUDENT PERFORMANCE." International Journal of Social Science & Economic Research 08, no. 09 (2023): 2593–611. http://dx.doi.org/10.46609/ijsser.2023.v08i09.006.

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Thorat, Prof Madhuri, Nilesh Sonawane, Shubham Bhore, Santosh Doiphode, and Vinayak Sunkewar. "Student Performance Prediction." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1789–92. http://dx.doi.org/10.22214/ijraset.2023.56313.

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Abstract: Assessing student’s learning performance is a fundamental aspect of evaluating educational systems, playing a pivotal role in addressing challenges within the learning process and measuring learning outcomes. The emergence of educational data mining (EDM) as a research field has harnessed the power of data and knowledge to enhance education systems. EDM involves the development of techniques to analyze data collected from educational environments, offering a more comprehensive understanding of students and facilitating improvements in educational outcomes. The integration of machine

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15

Hardi, Tambunan, Sinaga Bornok, and Widada Wahyu. "Analysis of teacher performance to build student interest and motivation towards mathematics achievement." International Journal of Evaluation and Research in Education (IJERE) 10, no. 1 (2021): 42–47. https://doi.org/10.11591/ijere.v10i1.20711.

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The purpose of this study was to determine the impact, and categories of teacher performance in building student interest and motivation on mathematics achievement. The population in this study was students in the eighth grade of junior high schools from six public and two private schools, and a sample of 277 students was taken by cluster sampling. Data collection instruments used a questionnaire, and data analysis was done by using by descriptive and path analysis. The results of data analysis showed that partially, teacher performance significantly affected student interest and motivation ex

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Wu, Yongshun, and Yudi Fernando. "Student Innovation Performance: Underpinning Theories." International Journal of Innovation Research in Education, Technology and Management 1, no. 1 (2024): 23–32. http://dx.doi.org/10.61098/ijiretm.v1i1.111.

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This study explores the relationship between extracurricular activities and student innovation performance, drawing on various theoretical frameworks and empirical evidence. Through a comprehensive literature review, the study examines the impact of extracurricular activities on students' development of critical thinking, creativity, communication, and collaboration skills—essential components of innovation. The TRIZ innovation theory and social cognitive career theory provide theoretical underpinnings for understanding how participation in extracurricular activities fosters innovation skills

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17

Setemen, K., and I. K. Purnamawan. "Student performance assessment strategies by involving peer students." Journal of Physics: Conference Series 1810, no. 1 (2021): 012064. http://dx.doi.org/10.1088/1742-6596/1810/1/012064.

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Pervin, Mst Maleka, Nafiza Ferdowsh, and Israt Jahan Munni. "Teacher-student interactions and academic performance of students." Dhaka University Journal of Biological Sciences 30, no. 1 (2021): 87–93. http://dx.doi.org/10.3329/dujbs.v30i1.51812.

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The main goal of this study was to investigate the influence of teacherstudent interaction on academic performance of the students. Hundred participants (50 teachers and 50 students) were selected through purposive sampling technique to conduct this research. Teacher and student feedback were measured by using the Questionnaire on Teacher Interaction (QTI) as well as students’ academic performance was calculated by using last year grade point average (GPA) of each student. Pearson product moment correlation was used which indicated a positive significant correlation (r = 0.70, p < 0.05) bet

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19

Albattat Ahmad, GuoXinru,. "Student Factors Affecting Performance Anxiety." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 606–10. http://dx.doi.org/10.52783/tjjpt.v44.i4.896.

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Performance anxiety among university students has a serious impact on their artistic development. Performances are usually conducted in the form of examinations, competitions, and performances, which put higher demands on performers, but "performance anxiety" is a common phenomenon, which is encountered by amateurs, students at professional colleges and universities, as well as mature artists. College students may suffer from insomnia, anxiety, fear, and loss of appetite before going on stage. Appropriate performance anxiety helps to play the music, while excessive performance anxiety may caus

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20

More, Manasi Sunil. "Academic Performance Analyzer." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1136–44. https://doi.org/10.22214/ijraset.2025.67490.

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An "Academic Performance Analyzer" is a system designed to collect, analyze, and visualize student academic data, utilizing algorithms to identify trends, strengths, and weaknesses in performance, thereby providing actionable insights to educators and students to improve learning outcomes ;it typically includes features like grade calculation, comparison analysis, customized reporting, and potential predictive modeling to identify at-risk students and areas needing targeted intervention. The Academic Performance Analyzer is an innovative software tool designed to streamline and enhance the eva

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21

M, Rajeena, and Dr Abdul Haleem Quraishi. "Leveraging Artificial Intelligence for Student Performance Monitoring." International Journal of Research Publication and Reviews 5, no. 5 (2024): 9642–45. http://dx.doi.org/10.55248/gengpi.5.0524.1364.

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PURCARU, Monica A. P. "ASPECTS REGARDING THE LEVEL OF PERFORMANCE IN MATHEMATICS." Review of the Air Force Academy 18, no. 2 (2021): 57–62. http://dx.doi.org/10.19062/1842-9238.2020.18.2.6.

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In the present paper addressing the issue of advanced performance in mathematics, we seek to answer to the following study questions: “What are the main factors that lead to the achievement of advanced performance?”; “Which is the profile of the teacher able to train the Olympic students in Mathematics?”; “Why do teachers want for their students to achieve advanced performance in mathematics?”; “Why do the students want to reach a high degree of performance in Mathematics?”; “What difficulties could significantly impede on student progress?”; “What is the connection between enthusiasm and adva

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23

Zillmer, Devon, and Thomas Mussmann. "Improving Student Performance with ILS Based Student-Teacher Pairings." International Journal on Studies in Education 5, no. 3 (2023): 317–31. http://dx.doi.org/10.46328/ijonse.133.

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Students are often assigned to instructors by student schedule or request. We present findings that assigning students to instructors based on learning style similarity can improve learning. We assume that instructors teach consistent with their learning style, and use the Felder and Silverman Index of Learning Styles (ILS) to describe learning style as a vector in R4. We examine the effect on grade difference a as a function of the learning style “distance” between students and their instructors . X2 tests show that the students (N=300) who were more similar (nearer) to their instructor perfo

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Foos, Paul W. "Effects of Student-Written Questions on Student Test Performance." Teaching of Psychology 16, no. 2 (1989): 77–78. http://dx.doi.org/10.1207/s15328023top1602_10.

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Effects of student-written test questions on student test performance were examined in an Introductory Psychology class. Before each of three tests, randomly assigned students wrote essay questions, multiple-choice questions, or no questions. All tests contained essay and multiple-choice items but no questions written by students. Question writers performed significantly better than nonwriters on the first two tests; the difference on the third test was marginally significant. No differences were found between students who wrote essay and those who wrote multiple-choice questions. Question wri

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Martin, Andre Anthony. "Exploring the impact of teacher quality on student academic achievement in primary schools." American Journal of Social Sciences and Humanities 8, no. 1 (2023): 35–45. http://dx.doi.org/10.55284/ajssh.v8i1.845.

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There has been debate among scholars, policymakers, and practitioners regarding the effects of teacher quality on students' academic performance. This quantitative descriptive study seeks to determine the impact of teacher quality on students' performance and the relationship between teacher quality and student performance. Student performance was measured using regional assessments in mathematics and language arts. A survey was conducted to collect primary data from teachers, and both sets of data were analyzed using the t-test, ANOVA, and Pearson’s correlation coefficient (r) to test for per

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26

Ronelo B., Butaslac, Niño, Chatto Michael E, Damiles, Kurt Archer M., et al. "A Descriptive Quantitative Study between Teachers’ Performance and Student Learning Outcomes among Grade 11 Students." International Journal of Research and Innovation in Social Science VIII, no. IV (2024): 2895–901. http://dx.doi.org/10.47772/ijriss.2024.804272.

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This study dealt with the influence of teachers’ performance and student learning outcomes among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. The primary goal of this study was to determine the level of teachers’ performance and student learning outcomes in terms of their indicators, the significant difference between teachers’ performance and student learning outcomes, and what domains of teachers’ performance substantially influence student learning outcomes. Also, this study utilized a quantitative-correlational design with 202 respondents among Grade 11 students in L

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Bazán-Ramírez, Aldo, Homero Ango-Aguilar, Víctor Cárdenas-López, Roberta B. Anaya-González, Walter Capa-Luque, and Miguel A. Bazán-Ramírez. "Self-Reporting of Teacher–Student Performance in Virtual Class Interactions in Biological Sciences during the SARS-CoV-2/COVID-19 Pandemic." Sustainability 15, no. 23 (2023): 16198. http://dx.doi.org/10.3390/su152316198.

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We used an interbehavioral model of teacher–student didactic performance with six pairs of criteria, as follows. Exploration of competencies and precurrent for learning, explicitness of teacher criteria and identification of student criteria, teacher illustration and illustration—student participation, supervision of the practice by the teacher and pertinent student practice, teacher feedback and feedback—student improvement, and teacher evaluation and evaluation—student application. The objective was to determine the level of covariation, divergence and convergence between the constructs of t

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Halim Purnomo, Mahpudin Mahpudin, Cahyo Setiadi Ramadhan, Abdul Karim, and Irfan Fauzi Rahmat. "Prıncıpal Leadershıp And Teacher Performance On Student Success." Jurnal Elementaria Edukasia 7, no. 2 (2024): 2637–56. http://dx.doi.org/10.31949/jee.v7i2.9145.

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The determinants of student achievement in schools are widely studied, including factors at school. Research on principal leadership, teacher performance, and student success has been carried out by many other researchers with varied results. This study aims to explain these two factors on student achievement based on teacher and student assessments. The research method used is quantitative through survey techniques. Statistical analysis used is non-parametric statistic Mean-Withney test. This research compared perceptions of teachers and students, male and female, from two school institutions

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Liu, Chen-Chung, Gwo-Dong Chen, Chin-Yeh Wang, and Ching-Fang Lu. "Student Performance Assessment Using Bayesian Network and Web Portfolios." Journal of Educational Computing Research 27, no. 4 (2002): 437–69. http://dx.doi.org/10.2190/el2a-tqf1-pyvm-n51v.

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Web-based curriculum development allows students to develop their learning portfolio and interact with peers on a Web learning system. This system contains Web portfolios that record in detail students' learning activities, peer interaction, and knowledge progress. However, teachers cannot easily diagnose students' learning processes and regulate effective strategies according to student activity performance without the model of activity performance on Web learning systems. This study proposes a novel methodology that employs Bayesian network software to assist teachers in efficiently deriving

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Amalia, Hilda, Ari Puspita, Ade Fitria Lestari, and Frieyadie Frieyadie. "APPLICATION OF DECISION TREE AND NAIVE BAYES ON STUDENT PERFORMANCE DATASET." Jurnal Pilar Nusa Mandiri 18, no. 1 (2022): 53–58. http://dx.doi.org/10.33480/pilar.v18i1.2714.

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Student performance is the ability of students to deal with the entire academic series taken during school. Student performance produces two labels, namely successful and unsuccessful students. Successful students can graduate with excellent, excellent, and suitable performance labels. At the same time, students who have a label on average are students who get poor performance. Measurement of student performance is needed for every educational institution to take strategic steps to improve student performance. This study aimed to obtain a data mining method that worked well on student performa

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Kim, Kyong-Jee, Yeon Ji Lee, Mi Jin Lee, and Young Hyo Kim. "e-Learning for enhancement of medical student performance at the Objective Structured Clinical Examination (OSCE)." PLOS ONE 16, no. 7 (2021): e0253860. http://dx.doi.org/10.1371/journal.pone.0253860.

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This study aimed to investigate the impact of student e-learning on the development of clinical competencies. The study participants were 3rd year students (n = 43) at a private mid-sized medical school located in a South Korean suburb on a four-year medical program. Educational intervention was implemented to enhance student clinical performance. Students engaged in learning activities that intended to promote their self-directed learning abilities and clinical performances using e-learning resources. Intervention was conducted for the duration of six months during the 3rd year and its effect

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Tutania, Lawrence, and Eddie Manzano. "Student Attitude and Academic Performance." International Journal of Open-access, Interdisciplinary and New Educational Discoveries of ETCOR Educational Research Center (iJOINED ETCOR) 4, no. 2 (2025): 91–97. https://doi.org/10.63498/nxz2st258.

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Abstract Aim: This study explored the relationship between student attitudes, focusing on smartphone use, promptness, and academic performance among the Grade 10 students in the Second District of Eastern Samar. Methodology: This study used a descriptive-correlational design using surveys to determine the relationship between the variables. This study was conducted in the Second District of Eastern Samar, and 349 respondents participated. Results: With a correlation coefficient (r) of 0.068, there is no strong or meaningful connection between the level of students’ smartphone use and their aca

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Muzaffar, Farwa, Aqsa Qandeel, Sadaf Mahmood, and Uzma Niaz. "Nexus between Work-Family life Balance and Health of Professional Women: A Case study of The Women University Multan." Journal of Social & Organizational Matters 3, no. 2 (2024): 481–500. http://dx.doi.org/10.56976/jsom.v3i2.101.

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This study examined the impact of technologies and co-curricular activities on students’ academic achievement at the under graduate level. The data collection includes 200 enrolled college and university undergraduate students, male and female, class of 2018 who participated in this research study in Karachi, Pakistan. Universities can measure student success through the grade point average (GPA) attained in their exams, whereas colleges measure students’ performance through the highest percentage, which determines student academic success. While evidence exists that extracurricular activities

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Zaidi, Syeda Sana, Muhammad Imran, Farzana Jabeen Khoso, and Zehara Sultana. "Impact of Technologies & Co-Curricular Activities on Students’ Academic Achievement at the Undergraduate Level." Journal of Social & Organizational Matters 3, no. 3 (2024): 75–90. http://dx.doi.org/10.56976/jsom.v3i3.99.

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This study examined the impact of technologies and co-curricular activities on students’ academic achievement at the Undergraduate Level. Data on approximately 200 enrolled college and university students from the undergraduate level male and female Class of 2018 who participated in this research study in Karachi, Pakistan. Universities can measure student success through their highest GPA in their exams, whereas colleges measure students’ performance through the highest percentage to measure student academic success. While evidence exists that co-curricular activities benefit student achievem

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Ziyi (Kevin), Wang. "CLASSIFICATION FOR STUDENT PERFORMANCE." Young Scholars Journal, no. 3-4 (2022): 10–14. http://dx.doi.org/10.29013/ysj-22-3.4-10-14.

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Castolo L, Carmencita, and Rosemariebeth R. Dizon. "Evaluating Student Teacher Performance." i-manager's Journal on School Educational Technology 2, no. 4 (2007): 31–34. http://dx.doi.org/10.26634/jsch.2.4.834.

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McDaniel Mohr, Tanga. "Iclickers and student performance." International Review of Economics Education 14 (September 2013): 16–23. http://dx.doi.org/10.1016/j.iree.2013.10.006.

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Aslam, M. M. Haris, Ahmed F. Siddiqi, Khuram Shahzad, and Sami Ullah Bajwa. "Predicting Student Academic Performance." International Journal of Knowledge Management 10, no. 3 (2014): 18–35. http://dx.doi.org/10.4018/ijkm.2014070102.

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The biggest challenge in nurturing an academic community is encouraging knowledge sharing among its members. Literature on communities, however, has paid less attention on the role of outcome expectations in encouraging the knowledge sharing behaviors. This study examines the effects of Personal Outcome Expectations (POE) and Community-related Outcome Expectations (COE) on the knowledge sharing behaviors of students and its consequent impact on their academic performance. In order to study these relationships a survey of university students was conducted. Based on structural equation modeling

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Jalomo Jr., Romero. "Assessing Minority Student Performance." New Directions for Community Colleges 2000, no. 112 (2000): 7–18. http://dx.doi.org/10.1002/cc.11201.

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Davis, Summer, Xihe Zhu, and Justin Haegele. "High School Student Fitness Test Attributions: Does BMI or Performance Matter?" Journal of Teaching in Physical Education 40, no. 1 (2021): 49–57. http://dx.doi.org/10.1123/jtpe.2019-0123.

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Purpose: To examine differences in fitness test performance and the attributions made for the performances between high school students of different weight status. Methods: High school students (n = 185) completed the Progressive Aerobic Cardiovascular Endurance Run and the push-up fitness tests and then completed the modified Causal Dimension Scale to assess their attributions for their performances. Results: Students of a healthy weight performed higher than overweight/obese students on both fitness tests. There were no significant differences in attribution dimension scores for either test

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Lavanya, K., G. Swathi, T. Aparna, and P. Viswa Teja. "Students Exam Performance Prediction." Shanlax International Journal of Arts, Science and Humanities 11, S3-July (2024): 14–19. http://dx.doi.org/10.34293/sijash.v11is3-july.7913.

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Predicting student performance is crucial for understanding their progress and intervening effectively. This research aims to identify current student status and forecast future results to enable teachers to provide timely guidance and support. By analyzing dependencies for final examinations, we can recommend suitable courses for upcoming semesters, serving as advisor’s to students. Many students struggle due to a lack of proper guidance and monitoring, as teachers can’t monitor everyone simultaneously. An AI system can assist by identifying which students require specific types of support. U

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N, Patel Karan. "Attendance and Performance Monitoring System Implementation." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 3088–94. http://dx.doi.org/10.22214/ijraset.2022.45671.

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Abstract: Attendance Management is very important for every organization. Taking attendance of lot student is very time consuming process. It is difficult to analyze attendance of students how frequently one is skipping classes. And also there will be some proxy attendance of student in traditional system. The possible solution to this problem is to use an automatic attendance system which uses face recognition techniques. This system will mark attendance electronically and recorded attendance will be stored in a database. The preparation of a question paper for the Internal Assessment Exam ca

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Rosalita, Glenn D., and William A. Buquia. "Students' Proficiency and Performance in English in Relation to Academic Performance." International Multidisciplinary Journal of Research for Innovation, Sustainability and Excellence (IMJRISE) 2, no. 6 (2025): 123–33. https://doi.org/10.5281/zenodo.15605648.

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<strong>Abstract:</strong> <strong> </strong> This study investigated students' proficiency levels in the K-12 Education Program within a small division during the 2023-2024 academic year. It examined student demographics and proficiency in English across reading, writing, speaking, and listening domains. Findings revealed that many students with older age, fewer siblings, and lower-income backgrounds exhibit proficiency levels below planning standards across all assessed areas. The study underscored the need for targeted interventions tailored to the linguistic needs of students within i

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Ariani, Mohsen Ghasemi, and Fatemeh Mirdad. "The Effect of School Design on Student Performance." International Education Studies 9, no. 1 (2015): 175. http://dx.doi.org/10.5539/ies.v9n1p175.

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<p class="apa">The present study aims at exploring the influence of school design on student performance. The participants consisted of 150 students who studied at two Iranian public school and private school in Mashhad City. School Design and Planning Laboratory (SDPL) model of Georgia University (and Tanner (2009)) was used as an appraisal indicator of school design and some of its design characteristics such as unrestricted and functional views, indoor and outdoor spaces, and natural life were explained to students. In addition, student performance, defined by the average of their fin

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Warnars, Harco Leslie Hendric Spits, Arif Fahrudin, and Wiranto Herry Utomo. "Student performance prediction using simple additive weighting method." IAES International Journal of Artificial Intelligence (IJ-AI) 9, no. 4 (2020): 630. http://dx.doi.org/10.11591/ijai.v9.i4.pp630-637.

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In the world of student education is an important component where the role of students is as someone who is psychologically ready to receive lessons or other input from the school. However, each student has different performance and development, therefore it is important to do monitoring so that student performance will always be monitored by the school for improving student quality maintenance. Also, in the process of valuing education for students needs to be done by giving an appreciation in the form of giving gifts or just giving words and motivation so that students can perform better in

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Hadi, Cholichul, Hung Chiao, Suen Mein-Woei, Dimas Agung Trisliatanto, and Muh Fitrah Ramadhan Umar. "What Predicts Students’ Academic Performance." International Journal of Social Service and Research 2, no. 4 (2022): 277–90. http://dx.doi.org/10.46799/ijssr.v2i4.100.

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The Performance of a higher education institution was one of the important factors determining success in producing quality graduates. Academic achievement obtained by students was considered to the success of a student and the learning system at the institution. The academic quality was also inseparable from the background of the student itself. Besides, the system and climate of teaching and learning are created in the educational environment. This study aimed to describe students' academic Performance and the factors that influence the improvement in academic performance of undergraduate st

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Sun, Lizhi, Danhui Chen, and Qingping Yang. "Key Influencing Factors Affecting the Student Academic Performance and Student Satisfactions Ratings: Evidence from Undergraduate Students in China." Global Research in Higher Education 5, no. 3 (2022): p19. http://dx.doi.org/10.22158/grhe.v5n3p19.

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This paper has developed a sound and practical method to evaluate the key teaching quality including the student academic performance and student satisfaction ratings. The method makes use of the existing data already readily available in a Chinese university, focusing on the identification of key influencing factors affecting the student academic performance and student satisfactions ratings. The data analyses have shown the university student academic performance is significantly affected student gender, age, previous academic performance, settlements and occupations of parents. There is sig

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Qadri, Nurmuslimah, Nurdevi Bte Abdul, and Maharida Maharida. "ANALYSIS OF STUDENTS' ANXIETY IN SPEAKING PERFORMANCE IN MUHAMMADIYAH UNIVERSITY OF MAKASSAR." Indonesian Journal of Psycholinguistics 2, no. 1 (2023): 9–18. http://dx.doi.org/10.56983/ijp.v2i1.470.

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This study aims to determine the factors that cause students' anxiety in speaking performances and to determine the level of student anxiety in speaking performances in 3rd semester students, especially in speaking courses for the intermediate level at Muhammadiyah University of Makkassar.This research is a descriptive qualitative with a case study conducted on 8 students in semester 3. It consists of interviews and checklist observations. Each interview was used to find out the factors that cause students' anxiety in speaking performances. While, the observation checklist was carried out to d

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More, Sachin K., Yashawant M. Patil, and Popat D. Kumbhar. "Improving Student Performance through Interactive Webinars." Journal of Engineering Education Transformations 37, IS2 (2024): 339–42. http://dx.doi.org/10.16920/jeet/2024/v37is2/24059.

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Abstract— In the rapidly evolving landscape of education, the integration of technology has proven to be instrumental in reshaping traditional learning paradigms. This paper delves into the realm of improving student’s performance by harnessing the potential of interactive webinars as on innovative educational tool. The paper aims to investigate the impact of interactive webinars on student engagement, knowledge retention and overall academic achievement in the course. The findings of the study provide empirical evidence that interactive webinars positively influence student performance. The a

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S. Satheesbabu, P. Gokulakrishnan, R. Karthikeyan,. "MACHINE LEARNING BASED STUDENT PERFORMANCE ANALYSIS SYSTEM." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 1174–81. http://dx.doi.org/10.17762/itii.v9i1.251.

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The academic output of the student is normally stored in various formats in the student administration system (files, documents, records, photographs and other formats). These data can be collected for valuable knowledge from the students. However, it is difficult to analyze the increasing amount of data of students through conventional statistical techniques and database management tools. For universities to gather valuable information, a tool is therefore required. This helpful knowledge can be used to predict the success of students. Leistungs analyze learning results is a framework that ai

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