Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent

要旨

Enrollment in online courses has sharply increased in higher education. Although online education can be scaled to large audiences, the lack of interaction between educators and learners is difficult to replace and remains a primary challenge in the field. Conversational agents may alleviate this problem by engaging in natural interaction and by scaffolding learners' understanding similarly to educators. However, whether this approach can also be used to enrich online video lectures has largely remained unknown. We developed Sara, a conversational agent that appears during an online video lecture. She provides scaffolds by voice and text when needed and includes a voice-based input mode. An evaluation with 182 learners in a 2 x 2 lab experiment demonstrated that Sara, compared to more traditional conversational agents, significantly improved learning in a programming task. This study highlights the importance of including scaffolding and voice-based conversational agents in online videos to improve meaningful learning.

キーワード
Conversational agent
scaffolding
voice interaction
interactivity
online videos
online education
experiment
著者
Rainer Winkler
University of St. Gallen, St. Gallen, Switzerland
Sebastian Hobert
University of Goettingen, Goettingen, Germany
Antti Salovaara
Aalto University, Espoo, Finland
Matthias Söllner
University of Kassel, Kassel, Germany
Jan Marco Leimeister
University of St. Gallen, St. Gallen, Switzerland
DOI

10.1145/3313831.3376781

論文URL

https://doi.org/10.1145/3313831.3376781

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Tutoring & learning

Paper session
313A O'AHU
5 件の発表
2020-04-27 20:00:00
2020-04-27 21:15:00
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