Authoring Virtual Peer Interactions for Lecture Videos
Article No.: 403, Pages 1 - 7
Abstract
Lecture videos have become a prevalent learning resource, due to the rising popularity of educational video platforms and the necessity for remote learning during the COVID-19 pandemic. However, lecture videos limit feasible pedagogical approaches, since there are no interactions that students would engage with and learn from in synchronous classes. In this study, we proposed virtual peers - virtual TAs and students that interact with each other as though they are watching the video for the first time together - to help real students learn from observing their interactions. We conducted two rounds of interviews and participatory designs with instructors and TAs to design an authoring tool that would help them create engaging virtual characters and author five types of pedagogically valuable interactions. The design received favorable preliminary feedback from instructors. They expect the tool to add valuable components that are missing from lecture videos with minimal additional effort on their parts.
Supplementary Material
References
[1]
Patrícia Alves-Oliveira, Pedro Sequeira, Francisco S Melo, Ginevra Castellano, and Ana Paiva. 2019. Empathic robot for group learning: A field study. ACM Transactions on Human-Robot Interaction (THRI) 8, 1 (2019), 1–34.
[2]
Mobina Beheshti, Ata Taspolat, Omer Sami Kaya, and Hamza Fatih Sapanca. 2018. Characteristics of Instructional Videos.World Journal on Educational Technology: Current Issues 10, 1(2018), 61–69.
[3]
YANG Bo. 2020. Online Learning Interaction in Danmaku Videos: A Pilot Study. In EdMedia+ Innovate Learning. Association for the Advancement of Computing in Education (AACE), 1262–1270.
[4]
Gwo-Dong Chen, Jih-Hsien Lee, Chin-Yeh Wang, Po-Yao Chao, Liang-Yi Li, and Tzung-Yi Lee. 2012. An empathic avatar in a computer-aided learning program to encourage and persuade learners. Journal of Educational Technology & Society 15, 2 (2012), 62–72.
[5]
Yue Chen, Qin Gao, and Pei-Luen Patrick Rau. 2017. Watching a movie alone yet together: understanding reasons for watching Danmaku videos. International Journal of Human–Computer Interaction 33, 9(2017), 731–743.
[6]
Konstantinos Chorianopoulos. 2018. A taxonomy of asynchronous instructional video styles. International Review of Research in Open and Distributed Learning 19, 1(2018).
[7]
Scotty D Craig, Barry Gholson, Joshua K Brittingham, Joah L Williams, and Keith T Shubeck. 2012. Promoting vicarious learning of physics using deep questions with explanations. Computers & Education 58, 4 (2012), 1042–1048.
[8]
Vanessa P Dennen, A Aubteen Darabi, and Linda J Smith. 2007. Instructor–learner interaction in online courses: The relative perceived importance of particular instructor actions on performance and satisfaction. Distance education 28, 1 (2007), 65–79.
[9]
Samuel Dodson, Ido Roll, Matthew Fong, Dongwook Yoon, Negar M Harandi, and Sidney Fels. 2018. An active viewing framework for video-based learning. In Proceedings of the fifth annual ACM conference on learning at scale. 1–4.
[10]
Xi Lin, Mingyu Huang, and Leslie Cordie. 2018. An exploratory study: using Danmaku in online video-based lectures. Educational Media International 55, 3 (2018), 273–286.
[11]
Ari Nugraha, Tomoyuki Harada, Izhar Almizan Wahono, and Tomoo Inoue. 2020. A Tool to Add a Tutee Agent in a Monologue Lecture Video Improves Students’ Watching Experience. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1–7.
[12]
John O’Donoghue, Gurmak Singh, and Charmaine Green. 2004. A comparison of the advantages and disadvantages of IT based education and the implication upon students. Digital Education Review9 (2004), 63–76.
[13]
Susen Rabold, Stuart Anderson, John Lee, and Neil Mayo. 2008. YouTute: Online social networking for vicarious learning. In Proceedings of the ICL2008. Kassel University Press, 1–14.
[14]
Deborah Richards and Virginia Dignum. 2019. Supporting and challenging learners through pedagogical agents: Addressing ethical issues through designing for values. British Journal of Educational Technology 50, 6 (2019), 2885–2901.
[15]
Kerstin Schankweiler. 2020. Reaction Images and Metawitnessing. Parallax 26, 3 (2020), 254–270.
[16]
Laura Scheepmaker, Kay Kender, Christopher Frauenberger, and Geraldine Fitzpatrick. 2021. Leaving the field: Designing a socio-material toolkit for teachers to continue to design technology with children. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14.
[17]
Leah A Sutton. 2001. The principle of vicarious interaction in computer-mediated communications. International Journal of Educational Telecommunications 7, 3(2001), 223–242.
[18]
Lauren Szczurek, Benoît Monin, and James J Gross. 2012. The stranger effect: The rejection of affective deviants. Psychological science 23, 10 (2012), 1105–1111.
[19]
Justin D Weisz, Sara Kiesler, Hui Zhang, Yuqing Ren, Robert E Kraut, and Joseph A Konstan. 2007. Watching together: integrating text chat with video. In Proceedings of the SIGCHI conference on Human factors in computing systems. 877–886.
[20]
Yabo Zhang, Aiping Qian, Zhongling Pi, and Jiumin Yang. 2019. Danmaku related to video content facilitates learning. Journal of Educational Technology Systems 47, 3 (2019), 359–372.
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Published In
April 2022
3066 pages
ISBN:9781450391566
DOI:10.1145/3491101
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Published: 28 April 2022
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