Using Process Mining to Analyze Time Distribution of Self-Assessment and Formative Assessment Exercises on an Online Learning Tool
Author:
Funder
MCIN
European Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,General Engineering,Education
Link
http://xplorestaging.ieee.org/ielx7/4620076/9686548/09566834.pdf?arnumber=9566834
Cited by 9 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. Lifelong learner needs for human-centered self-regulated learning analytics;Information and Learning Sciences;2023-12-11
2. How Learning Analytics Can Help Orchestration of Formative Assessment? Data-Driven Recommendations for Technology- Enhanced Learning;IEEE Transactions on Learning Technologies;2023-10
3. A Review of Learners' Self-Regulated Learning Behavior Analysis Using Log-Data Traces;2023 IEEE 12th International Conference on Engineering Education (ICEED);2023-08-29
4. From unsuccessful to successful learning: profiling behavior patterns and student clusters in Massive Open Online Courses;Education and Information Technologies;2023-07-17
5. Strategies for maintaining academic integrity in remote unproctored and proctored online assessments for engineering courses;Learning: Research and Practice;2023-06-15
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