Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 36, 28 May 2024
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Study the influencing factors of passing or failing the exam
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Abstract
Previous studies have analyzed the factors affecting academic performance and concluded that the length of study is related to academic performance. However, there are other factors worth investigating. Data from 500 students were analyzed using the Binary Logistic Regression model. This paper studies the influence of Study Hours and Previous Exam Scores on pass or fail the exam. The results of the likelihood ratio test of the binary Logit regression model show the validity of the model and the significance of the construction of the model. In the Hosmer-Lemeshow fit test, the p-value is greater than 0.05, the model is considered to have good goodness of fit and passes the HL test. Through research, the author finally concludes that Study Hours and Previous exam Scores have a positive impact on passing the exam. Therefore, this paper argues that people can improve the likelihood of passing the exam by increasing their study time before the exam and getting better grades in the previous exam.
Keywords
Binary logistic regression model, study hours, previous exam scores, pass or fail the exam
References
1. Ha H, Lee H S 2019 Effect of Interim Testing on Learners’ Metacognitive Judgments, Study Time, and Learning Performance in Concept and Category Learning. The Korean Journal of Educational Psychology, 125-152.
2. Wang H H, Zhang Y, Jiang Y Q 2024 Prediction Analysis of college students’ Postgraduate Entrance Examination Results based on Data Mining. Wuyi College Journal, 93-97.
3. Chris M, Jan B, Sarah D, Anne G, Geert M 2014 Do diligent students perform better? Complex relations between student and course characteristics, study time, and academic performance in higher education. Studies in Higher Education, 621-643.
4. Adoración D L, Ana B M, Javier M 2021 Adolescents’ Perceptions of Their Problematic Use of ICT: Relationship with Study Time and Academic Performance. International Journal of Environmental Research and Public Health, 6673-6673.
5. Sun L Z, Zhang H, Liu Q L 2022 College students after school time distribution and the impact on the academic achievement of empirical studies. Journal of Chongqing liberal arts college (social science edition), 127-140.
6. Liao Y J 2020 Analysis on the influencing factors of college students’ Academic Performance. Journal of Shanxi University of Energy, 33(5), 45-47.
7. Zhang X 2018 Study on the influence of learning motivation and Effort on Students’ Academic Achievement. Educational Theory and Practice, 38(15), 31-33.
8. Du X Y, Xu Y, Li X N, et al. 2017 Late Guangzhou college students learning situation and influencing factors of. Journal of School Health in China, 38(4), 592-594.
9. Achamma G 2012 Influence of Behavioral Patterns on Academic Performance- Comparison between Students of the Morning session and Afternoon session at the College of Health Sciences (CHS), Kingdom of Bahrain. Revista Internacional de Sociología de la Educación, 54-70.
10. Eliasson A H, Lettieri C J 2017 Differences in sleep habits, study time, and academic performance between US-born and foreign-born college students. Sleep & Breathing, 529-533.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
- ISBN (Print)
- 978-1-83558-441-5
- ISBN (Online)
- 978-1-83558-442-2
- Published Date
- 28 May 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/36/20240526
- Copyright
- 28 May 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited