Predicting Student Performance from Online Engagement Activities Using Novel Statistical Features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06548-w.pdf
Reference36 articles.
1. Vahdat, M.; Oneto, L.; Anguita, D.; Funk, M.; Rauterberg, M.: A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator. In: Design for Teaching and Learning in a Networked World, pp. 352–366. Springer, Cham (2015)
2. Tomasevic, N.; Gvozdenovic, N.; Vranes, S.: An overview and comparison of supervised data mining techniques for student exam performance prediction. Comput. Educ. 143, 103676 (2020)
3. Hellas, A.; Ihantola, P.; Petersen; A.; Ajanovski, V.; Gutica, M.; Hynninen, T; Liao, S.N.: Predicting academic performance: a systematic literature review. In: Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 175–199 (2018)
4. Hussain, M.; Zhu, W.; Zhang, W.; Abidi, S.M.R.; Ali, S.: Using machine learning to predict student difficulties from learning session data. Artif. Intell. Rev. 52(1), 381–407 (2019)
5. Buenaño-Fernández, D.; Gil, D.; Luján-Mora, S.: Application of machine learning in predicting performance for computer engineering students: a case study. Sustainability 11(10), 2833 (2019)
Cited by 29 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
1. Predicting Academic Success in Large Online Courses at a Mega ODL University;Technology, Knowledge and Learning;2024-07-09
2. ONLINE LEARNING MODEL TO IMPROVE THE STUDENTS’ ACHIEVEMENT IN DESIGN OF INFORMATION AND COMMUNICATION TECHNOLOGY;Conhecimento & Diversidade;2024-05-16
3. Exploring the Impact of Elevated Learning Methodology on Student Performance Prediction: An Empirical Analysis;2024 International Conference on Expert Clouds and Applications (ICOECA);2024-04-18
4. Predicting the impact of internet usage on students’ academic performance using machine learning techniques in Bangladesh perspective;Social Network Analysis and Mining;2024-03-21
5. Optimized deep network based students performance analysis for college admissions;Multimedia Tools and Applications;2024-01-15
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