Learning analytics: current trends and innovative practices

Author:

Lee Lap-Kei,Cheung Simon K. S.,Kwok Lam-For

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Education

Reference13 articles.

1. Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics,37, 13–49.

2. Avella, J. T., Kebritchi, M., Nunn, S., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: A systematic literature review. Online Learning,20(2), 13–29.

3. Baker, R., & Siemens, G. (2014). Learning analytics and educational data mining. In: Keith-Sawyer R (ed) Cambridge handbook of the leaning sciences (2nd edn). Cambridge University Press: New York, NY, pp. 253–272.

4. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. A. Larusson & B. White (Eds.), Learning analytics (pp. 61–75). Springer, New York, NY.

5. Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology, 1, 1–57.

Cited by 44 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. Investigating the factors affecting educators’ adoption of learning analytics using the UTAUT model;The International Journal of Information and Learning Technology;2024-06-07

3. Adaptation of the Multi-Concept Multivariate Elo Rating System to Medical Students' Training Data;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

4. Perspectives and Opportunities for Learning Analytics Integration;Journal of Learning Analytics;2024-03-13

5. Semantic Web and Distance Learning: Euphoria, Frustration and Restart;Revista Brasileira de Informática na Educação;2024-02-25

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