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 videos to improve meaningful learning.
%0 Conference Paper
%1 conf/chi/WinklerHS0L20
%A Winkler, Rainer
%A Hobert, Sebastian
%A Salovaara, Antti
%A Söllner, Matthias
%A Leimeister, Jan Marco
%B CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
%D 2020
%E Bernhaupt, Regina
%E Mueller, Florian 'Floyd'
%E Verweij, David
%E Andres, Josh
%E McGrenere, Joanna
%E Cockburn, Andy
%E Avellino, Ignacio
%E Goguey, Alix
%E Bjøn, Pernille
%E Zhao, Shengdong
%E Samson, Briane Paul
%E Kocielnik, Rafal
%I ACM
%K itegpub pub_msö pub_wise-kassel
%P 1-14
%T Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent
%U http://dblp.uni-trier.de/db/conf/chi/chi2020.html#WinklerHS0L20
%X 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 videos to improve meaningful learning.
%@ 978-1-4503-6708-0
@inproceedings{conf/chi/WinklerHS0L20,
abstract = {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 videos to improve meaningful learning.},
added-at = {2020-05-19T16:14:08.000+0200},
author = {Winkler, Rainer and Hobert, Sebastian and Salovaara, Antti and Söllner, Matthias and Leimeister, Jan Marco},
biburl = {https://www.bibsonomy.org/bibtex/2496135166abee20a484456621c24108d/wise-kassel},
booktitle = {CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
crossref = {conf/chi/2020},
editor = {Bernhaupt, Regina and Mueller, Florian 'Floyd' and Verweij, David and Andres, Josh and McGrenere, Joanna and Cockburn, Andy and Avellino, Ignacio and Goguey, Alix and Bjøn, Pernille and Zhao, Shengdong and Samson, Briane Paul and Kocielnik, Rafal},
ee = {https://doi.org/10.1145/3313831.3376781},
interhash = {0187bd3c8fd6a15644cec9eea89d5071},
intrahash = {496135166abee20a484456621c24108d},
isbn = {978-1-4503-6708-0},
keywords = {itegpub pub_msö pub_wise-kassel},
month = {04},
pages = {1-14},
publisher = {ACM},
timestamp = {2020-05-19T16:14:08.000+0200},
title = {Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent},
url = {http://dblp.uni-trier.de/db/conf/chi/chi2020.html#WinklerHS0L20},
year = 2020
}