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

Rainer Winkler*, Sebastian Hobert, Antti Salovaara, Matthias Söllner, Jan Marco Leimeister

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

105 Sitaatiot (Scopus)

Abstrakti

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 chal- lenge in the field. Conversational agents may alleviate this problem by engaging in natural interaction and by scaffold- ing 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 evalua- tion 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 scaf- folding and voice-based conversational agents in online vid- eos to improve meaningful learning.
AlkuperäiskieliEnglanti
OtsikkoCHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
KustantajaACM
ISBN (elektroninen)9781450367080
DOI - pysyväislinkit
TilaJulkaistu - 21 huhtik. 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaACM SIGCHI Annual Conference on Human Factors in Computing Systems - Honolulu, Yhdysvallat
Kesto: 26 huhtik. 202030 huhtik. 2020
https://chi2020.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
LyhennettäACM CHI
Maa/AlueYhdysvallat
KaupunkiHonolulu
Ajanjakso26/04/202030/04/2020
www-osoite

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