Open Learning Analytics: A Systematic Literature Review and Future Perspectives
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-41099-5_1
Reference92 articles.
1. Aljohani, N. R., Daud, A., Abbasi, R. A., Alowibdi, J. S., Basheri, M., & Aslam, M. A. (2019). An integrated framework for course adapted student learning analytics dashboard. Computers in Human Behavior, 92, 679–690. https://doi.org/10.1016/j.chb.2018.03.035
2. Alonso-Fernandez, C., Calvo, A., Freire, M., Martinez-Ortiz, I., & Fernandez-Manjon, B. (2017). Systematizing game learning analytics for serious games. In 2017 IEEE global engineering education conference (EDUCON) (pp. 1111–1118). New York: IEEE. https://doi.org/10.1109/EDUCON.2017.7942988
3. Amigud, A., Arnedo-Moreno, J., Daradoumis, T., & Guerrero-Roldan, A.-E. (2017). Open proctor: An academic integrity tool for the open learning environment. In L. Barolli, I. Woungang, & O. K. Hussain (Eds.), Advances in intelligent networking and collaborative systems (Vol. 8, pp. 262–273). Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-65636-6_23
4. Apereo. (2015). Learning analytics initiative (LAI). Retrieved from https://www.apereo.org/communities/learning-analytics-initiative
5. Bader-Natal, A., & Lotze, T. (2011). Evolving a learning analytics platform. In Proceedings of the 1st international conference on learning analytics and knowledge (pp. 180–185). Banff, Canada: ACM. https://doi.org/10.1145/2090116.2090146
Cited by 5 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. Students' proficiency evaluation: a non-parametric multilevel latent variable model approach;Studies in Higher Education;2024-08-06
2. Introducing open educational resources typology to digital libraries;Open Learning: The Journal of Open, Distance and e-Learning;2024-06-03
3. Designing a Dashboard for Student Teamwork Analysis;Proceedings of the 53rd ACM Technical Symposium on Computer Science Education;2022-02-22
4. Supporting Indicator Personalization and Platform Extensibility in Open Learning Analytics;Technology, Knowledge and Learning;2021-07-02
5. Deep Learning for Discussion-Based Cross-Domain Performance Prediction of MOOC Learners Grouped by Language on FutureLearn;Arabian Journal for Science and Engineering;2021-01-06
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