A Machine Learning Model for Predicting Academic Performance of Students Through Internet Usage-Reference-Cited by-同舟云学术

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A Machine Learning Model for Predicting Academic Performance of Students Through Internet Usage

Published:2021 Issue: Volume: Page:315-324
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Naren J.,Ganesan Vithya,Gayathiri P.,Dhivyhalakshmi K. K.,Ramalingam Praveena

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8752-8_32

Reference34 articles.

1. Xu, X., Wanga, J., Pengd, H., & Wua, R. (2019). Prediction of academic performance associated with internet usage behaviors using machine learning algorithms. Computers in Human Behavior, 98, 166–173 (Elsevier).

2. Gialamas, V., Nikolopoulou, K., & Koutromanos, G. (2013). Student teachers’ perceptions about the impact of internet usage on their learning and jobs. Computers & Education., 62, 1–7. https://doi.org/10.1016/j.compedu.2012.10.012

3. Helal, S., Li, J., Liu, L., Ebrahimie, E., Dawson, S., Murray, D., & Long, Q. (2018). Predicting academic performance by considering student heterogeneity. Knowledge-Based Systems, 161. https://doi.org/10.1016/j.knosys.2018.07.042

4. Miguéis, V. L., Freitas, A., Garcia, P., Silva, A. (2018). Early segmentation of students according to their academic performance: A predictive modelling approach. Decision Support Systems, 115. https://doi.org/10.1016/j.dss.2018.09.001

5. Albert, M., & Dahling, J. (2016). Learning goal orientation and locus of control interact to predict academic self-concept and academic performance in college students. Personality and Individual Differences., 97, 245–248. https://doi.org/10.1016/j.paid.2016.03.074

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1. Prediction on Impact of Electronic Gadgets in Students Life using Machine Learning;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

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