A novel methodology using RNN + LSTM + ML for predicting student’s academic performance

Author:

Kukkar Ashima,Mohana Rajni,Sharma Aman,Nayyar AnandORCID

Publisher

Springer Science and Business Media LLC

Reference67 articles.

1. Alhakbani, H. A., & Alnassar, F. M. (2022, March). Open Learning Analytics: A Systematic Review of Benchmark Studies Using Open University Learning Analytics Dataset (OULAD). In Proceedings of the 2022 7th International Conference on Machine Learning Technologies (ICMLT '22). Association for Computing Machinery, New York, NY, USA, (pp. 81–86). https://doi.org/10.1145/3529399.3529413

2. Al-Shehri, H., Al-Qarni, A., Al-Saati, L., Batoaq, A., Badukhen, H., Alrashed, S., & Olatunji, S. O. (2017). Student performance prediction using support vector machine and k-nearest neighbor. In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), Windsor, ON, Canada (pp. 1–4). https://doi.org/10.1109/CCECE.2017.7946847

3. Asif, R., Merceron, A., Ali, S. A., & Haider, N. G. (2017). Analyzing undergraduate students’ performance using educational data mining. Computers & Education, 113, 177–194. https://doi.org/10.1016/j.compedu.2017.05.007

4. Asif, R., Merceron, A., & Pathan, M. K. (2015). Investigating performance of students: a longitudinal study. In Proceedings of the Fifth International Conference on Learning Analytics And Knowledge (LAK '15). Association for Computing Machinery, New York, NY (pp. 108–112). https://doi.org/10.1145/2723576.2723579

5. Awaludin, Muryan, & Muryan. (2022). Optimization of Naïve Bayes Algorithm Parameters for Student Graduation Prediction at Universitas Dirgantara Marsekal Suryadarma. Journal of Information System, informatic and Computing, 6(1), 91–106.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3