Date
2020Author
Winkler, RainerHobert, SebastianFischer, TizianSalovaara, AnttiSöllner, MatthiasLeimeister, Jan MarcoSubject
004 Data processing and computer science Computerunterstütztes LernenMensch-Maschine-KommunikationBenutzeroberflächeAgent <Künstliche Intelligenz>Metadata
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Konferenzveröffentlichung
Engaging Learners in Online Video Lectures with Dynamically Scaffolding Conversational Agents
Abstract
Online education creates new opportunities for learners, which has led to sharply increasing enrollment in the last few years. Despite these benefits, past research shows that the lack of individual interaction with educators creates low learner engagement that leads to high attrition rates, which remains a major challenge in the field. Dynamically scaffolding conversational agents built into online video lectures promise to address this problem by individually interacting with learners, similar to educators’ scaffolding behavior. These agents are equipped with recent natural language processing capabilities, creating human-like conversations that help learners to be more engaged in the learning process. To test our hypothesis, we built a dynamically scaffolding conversational agent named Sara and compared it with an often implemented static conversational agent built into two online video lectures. We deployed a lab experiment with 182 learners. The neurophysiological measurements revealed that Sara significantly improved learner engagement partly explained by differences in learners’ perceptions in the way they experienced the interaction. This study connects to already existing conversational agent studies in online education and highlights the importance of including dynamically scaffolding conversational agents in online video lectures to address the problem of low learner engagement in online education.
Citation
In: European Conference on Information Systems (Hrsg.): Proceedings of the 28th European Conference on Information Systems (ECIS). Association for Information Systems: 2020, S. ; ISBN 978-1-7336325-1-5Citation
@inproceedings{doi:10.17170/kobra-202104153671,
author={Winkler, Rainer and Hobert, Sebastian and Fischer, Tizian and Salovaara, Antti and Söllner, Matthias and Leimeister, Jan Marco},
title={Engaging Learners in Online Video Lectures with Dynamically Scaffolding Conversational Agents},
booktitle={Proceedings of the 28th European Conference on Information Systems (ECIS)},
year={2020}
}
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2021-04-28T12:03:29Z 2021-04-28T12:03:29Z 2020 doi:10.17170/kobra-202104153671 http://hdl.handle.net/123456789/12752 eng Association for Information Systems Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ conversational agents learner engagement dynamic scaffolding NeuroIS experiment. 004 Engaging Learners in Online Video Lectures with Dynamically Scaffolding Conversational Agents Konferenzveröffentlichung Online education creates new opportunities for learners, which has led to sharply increasing enrollment in the last few years. Despite these benefits, past research shows that the lack of individual interaction with educators creates low learner engagement that leads to high attrition rates, which remains a major challenge in the field. Dynamically scaffolding conversational agents built into online video lectures promise to address this problem by individually interacting with learners, similar to educators’ scaffolding behavior. These agents are equipped with recent natural language processing capabilities, creating human-like conversations that help learners to be more engaged in the learning process. To test our hypothesis, we built a dynamically scaffolding conversational agent named Sara and compared it with an often implemented static conversational agent built into two online video lectures. We deployed a lab experiment with 182 learners. The neurophysiological measurements revealed that Sara significantly improved learner engagement partly explained by differences in learners’ perceptions in the way they experienced the interaction. This study connects to already existing conversational agent studies in online education and highlights the importance of including dynamically scaffolding conversational agents in online video lectures to address the problem of low learner engagement in online education. open access Winkler, Rainer Hobert, Sebastian Fischer, Tizian Salovaara, Antti Söllner, Matthias Leimeister, Jan Marco Computerunterstütztes Lernen Mensch-Maschine-Kommunikation Benutzeroberfläche Agent <Künstliche Intelligenz> publishedVersion 2020-06 Marrakesh, Marokko Proceedings of the 28th European Conference on Information Systems (ECIS) European Conference on Information Systems ISBN 978-1-7336325-1-5 false Liberty, Equality, and Fraternity in a Digitizing World, 28th European Conference on Information Systems (ECIS) Research Paper 97
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