Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report
Namrata Srivastava, Eduardo Velloso, Jason M Lodge, Sarah Erfani, James Bailey
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19 | ACM Press | Published : 2019
With the increased reach and impact of video lectures, it is crucial to understand how they are experienced. Whereas previous studies typically present questionnaires at the end of the lecture, they fail to capture students' experience in enough granularity. In this paper we propose recording the lecture difficulty in real-time with a physical slider, enabling continuous and fine-grained analysis of the learning experience. We evaluated our approach in a study with 100 participants viewing two variants of two short lectures. We demonstrate that our approach helps us paint a more complete picture of the learning experience. Our analysis has design implications for instructors, providing them ..View full abstract
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Awarded by Australian Research Council
Dr Eduardo Velloso is the recipient of an Australian Research Council Discovery Early Career Award (Project Number.: DE180100315) funded by the Australian Government. Namrata Srivastava is supported by Melbourne Research Scholarship.