Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation

Author:

Syed Rohail1,Collins-Thompson Kevyn1,Bennett Paul N.2,Teng Mengqiu1,Williams Shane2,Tay Dr. Wendy W.3,Iqbal Shamsi2

Affiliation:

1. University of Michigan Ann Arbor, Michigan

2. Microsoft Research AI Redmond, Washington

3. Independent Montréal, Québec, Canada

Publisher

ACM

Reference30 articles.

1. Active Learning Not Associated with Student Learning in a Random Sample of College Biology Courses

2. Peter Bailey and Li Jiang. 2012. User task understanding: a web search engine perspective. https://www.microsoft.com/en-us/research/publication/user-task-understanding-a-web-search-engine-perspective/ Presentation delivered at the NII Shonan: Whole-Session Evaluation of Interactive Information Retrieval Systems workshop. 8-11 October 2012 Shonan Japan. Peter Bailey and Li Jiang. 2012. User task understanding: a web search engine perspective. https://www.microsoft.com/en-us/research/publication/user-task-understanding-a-web-search-engine-perspective/ Presentation delivered at the NII Shonan: Whole-Session Evaluation of Interactive Information Retrieval Systems workshop. 8-11 October 2012 Shonan Japan.

3. Nilavra Bhattacharya and Jacek Gwizdka. 2018. Relating eye-tracking measures with changes in knowledge on search tasks. arXiv preprint arXiv:1805.02399(2018). Nilavra Bhattacharya and Jacek Gwizdka. 2018. Relating eye-tracking measures with changes in knowledge on search tasks. arXiv preprint arXiv:1805.02399(2018).

4. The Flipped Classroom: A Survey of the Research

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