@inproceedings{a6ba1f242b9341d4ab335dda819b8c99,
title = "What do i need to know? Designing Student Learning Tools that Aid Interaction with Recorded Lecture Content",
abstract = "This paper presents an exploratory investigation of how students might benefit from recorded class lectures. Our overarching goal is to inform design of an artificial intelligence (AI) tool that adds value to lecture recordings. To study this possibility, we surveyed undergraduate students about their active learning strategies and their visions of how AI might help them to engage more richly with digitized learning materials. We report our findings and discuss implications for design of a tool that can add value to recorded lectures; we also consider more generally the possibilities of using lecture recordings to enhance student learning.",
author = "Shipi Dhanorkar and {Benjamin Hellar}, D. and Rosson, {Mary Beth}",
note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 8th Annual ACM Conference on Learning at Scale, L@S 2021 ; Conference date: 22-06-2021 Through 25-06-2021",
year = "2021",
month = jun,
day = "8",
doi = "10.1145/3430895.3460169",
language = "English (US)",
series = "L@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale",
publisher = "Association for Computing Machinery, Inc",
pages = "315--318",
booktitle = "L@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale",
}