Embodying Historical Learners' Messages as Learning Companions in a VR Classroom

Online learning platforms such as MOOCs have been prevalent sources of self-paced learning to people nowadays. However, the lack of peer accompaniment and social interaction may increase learners' sense of isolation. Prior studies have shown the positive effects on visualizing peer students' appearances in VR learning environments. In this work, we propose to build virtual classmates, which were constructed by synthesizing previous learners' time-anchored messages. Configurations of virtual classmates and their behavioral features can be adjusted. To build the characteristics of virtual classmates, we developed a technique called comment mapping to aggregate prior online learners' comments to shape virtual classmates' behaviors. We evaluated the effects of the virtual classmates built with and without the comment mapping and the amount of virtual classmates rendered in VR.

[1]  Björn Hartmann,et al.  Structuring Interactions for Large-Scale Synchronous Peer Learning , 2015, CSCW.

[2]  Michael S. Bernstein,et al.  Talkabout: Making Distance Matter with Small Groups in Massive Classes , 2015, CSCW.

[3]  Charalampos Karagiannidis,et al.  Study on intelligent emotional agents for learning , 2010 .

[4]  Mark S. Granovetter T H E S T R E N G T H O F WEAK TIES: A NETWORK THEORY REVISITED , 1983 .

[5]  A. Fielding,et al.  Statistics: The Essentials for Research , 1971 .

[6]  Lei Yang,et al.  Teaching Language and Culture with a Virtual Reality Game , 2017, CHI.

[7]  Hao-Chuan Wang,et al.  Using Time-Anchored Peer Comments to Enhance Social Interaction in Online Educational Videos , 2015, CHI.

[8]  Kristy Elizabeth Boyer,et al.  Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach , 2015, LAK.

[9]  A. James 2010 , 2011, Philo of Alexandria: an Annotated Bibliography 2007-2016.

[10]  Zenun Kastrati,et al.  MOOC dropout prediction using machine learning techniques: Review and research challenges , 2018, 2018 IEEE Global Engineering Education Conference (EDUCON).

[11]  Elaine Toms,et al.  The development and evaluation of a survey to measure user engagement , 2010, J. Assoc. Inf. Sci. Technol..

[12]  Nasser Ghasem-Aghaee,et al.  Design and Implementation of an Intelligent Educational Model Based on Personality and Learner's Emotion , 2010, ArXiv.

[13]  Hao-Chuan Wang,et al.  Exploring Online Learners' Interactive Dynamics by Visually Analyzing Their Time‐anchored Comments , 2017, Comput. Graph. Forum.

[14]  Iraklis Varlamis,et al.  Blending Distance Learning Platforms and 3D Virtual Learning Environments , 2011 .

[15]  Vicky Maratou,et al.  Enhance learning on software project management through a role-play game in a virtual world† , 2016, Interact. Learn. Environ..

[16]  Julian ChengChiang Chen,et al.  The crossroads of English language learners, task-based instruction, and 3D multi-user virtual learning in Second Life , 2016, Comput. Educ..

[17]  Hao Jiang,et al.  Integrating online and offline community through facebook , 2011, 2011 International Conference on Collaboration Technologies and Systems (CTS).

[18]  Frank Bentley,et al.  Collaborative Live Media Curation: Shared Context for Participation in Online Learning , 2018, CHI.

[19]  Anirban Dasgupta,et al.  Superposter behavior in MOOC forums , 2014, L@S.

[20]  Heinrich H. Bülthoff,et al.  The MPI Emotional Body Expressions Database for Narrative Scenarios , 2014, PloS one.

[21]  Hugh C. Davis,et al.  How Learners’ Interactions Sustain Engagement: A MOOC Case Study , 2017, IEEE Transactions on Learning Technologies.