Jane Yin-Kim Yau
Education · 2020
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Education — 13 citations into it
- Computer Science Applications — 9 citations into it
- Artificial Intelligence — 6 citations into it
Whom Jane Yin-Kim Yau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jane Yin-Kim Yau's perspective
Ordered by how strongly the researchers Jane Yin-Kim Yau trusts endorse each paper. Same corpus, a different order for every researcher.
- Course signals at Purdue: using learning analytics to increase student success (International Conference on Learning Analytics and Knowledge)
- The Cambridge Handbook of the Learning Sciences: Educational Data Mining and Learning Analytics
- Experimental and Quasi-Experimental Designs for Research
- Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks
- Student Drop-Out from German Higher Education Institutions.
- Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence (J. Educ. Technol. Soc.)
- In search of higher persistence rates in distance education online programs (Internet and Higher Education)
- Through the Eyes of Students
- Predicting students' final performance from participation in on-line discussion forums (Comput. Educ.)
- Deep Knowledge Tracing