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abstract

GazeMOOC: A Gaze Data Driven Visual Analytics System for MOOC with XR Content

Published: 08 December 2021 Publication History

Abstract

MOOC is widely used and more popular after COVID-19.In order to improve the learning effect, MOOC is evolving with XR technologies such as avatars, virtual scenes and experiments. This paper proposes a novel visual analytics system GazeMOOC, that can evaluate learners’ learning engagement in MOOC with XR content. For same MOOC content, gaze data of all learners are recorded and clustered. By differentiating gaze data of distracted learners and active learners, GazeMOOC can help evaluate MOOC content and learners’ learning engagement.

References

[1]
Tanja Blascheck, Kuno Kurzhals, Michael Raschke, Michael Burch, Daniel Weiskopf, and Thomas Ertl. 2017. Visualization of eye tracking data: A taxonomy and survey. In Computer Graphics Forum, Vol. 36. Wiley Online Library, 260–284.
[2]
Lori Breslow, David E Pritchard, Jennifer DeBoer, Glenda S Stump, Andrew D Ho, and Daniel T Seaton. 2013. Studying learning in the worldwide classroom research into edX’s first MOOC.Research & Practice in Assessment 8 (2013), 13–25.
[3]
Marcel A Just and Patricia A Carpenter. 1980. A theory of reading: From eye fixations to comprehension.Psychological review 87, 4 (1980), 329.
[4]
René F Kizilcec, Chris Piech, and Emily Schneider. 2013. Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In Proceedings of the third international conference on learning analytics and knowledge. 170–179.
[5]
Jamy Li, René Kizilcec, Jeremy Bailenson, and Wendy Ju. 2016. Social robots and virtual agents as lecturers for video instruction. Computers in Human Behavior 55 (2016), 1222–1230.
[6]
Raphael Menges, Sophia Kramer, Stefan Hill, Marius Nisslmueller, Chandan Kumar, and Steffen Staab. 2020. A visualization tool for eye tracking data analysis in the web. In ACM Symposium on Eye Tracking Research and Applications. 1–5.
[7]
Philipp A Rauschnabel, Reto Felix, and Chris Hinsch. 2019. Augmented reality marketing: How mobile AR-apps can improve brands through inspiration. Journal of Retailing and Consumer Services 49 (2019), 43–53.
[8]
Yun Zhu, Leisi Pei, and Junjie Shang. 2017. Improving video engagement by gamification: A proposed design of MOOC videos. In International conference on blended learning. Springer, 433–444.

Cited By

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  • (2023)Unraveling the Design Space of Immersive Analytics: A Systematic ReviewIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332736830:1(495-506)Online publication date: 25-Oct-2023
  • (2023)GazeGraphVisAdvanced Engineering Informatics10.1016/j.aei.2023.10211157:COnline publication date: 1-Aug-2023

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cover image ACM Conferences
VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology
December 2021
563 pages
ISBN:9781450390927
DOI:10.1145/3489849
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 December 2021

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Author Tags

  1. Data visualization
  2. Eye tracking
  3. Learning Engagement
  4. Mixed Reality

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VRST '21

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Overall Acceptance Rate 66 of 254 submissions, 26%

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Cited By

View all
  • (2023)Unraveling the Design Space of Immersive Analytics: A Systematic ReviewIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332736830:1(495-506)Online publication date: 25-Oct-2023
  • (2023)GazeGraphVisAdvanced Engineering Informatics10.1016/j.aei.2023.10211157:COnline publication date: 1-Aug-2023

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