Developing an in-application shared view metric to capture collaborative learning in a multi-platform astronomy simulation

Morgan Diederich, Jina Kang, Taehyun Kim, Robb Lindgren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There has been recent interest in the design of collaborative learning activities that are distributed across multiple technology devices for students to engage in scientific inquiry. Emerging research has begun to investigate students' collaborative behaviors across different device types and students' shared attention by tracking eye gaze, body posture, and their interactions with the digital environment. Using a 3D astronomy simulation that leverages a VR headset and tablet computers, this paper builds on the ideas described in eye-gaze studies by developing and implementing a metric of shared viewing across multiple devices. Preliminary findings suggest that a higher level of shared view could be related to increased conceptual discussion, as well as point to an early-stage pattern of behavior of decreased SV to prompt facilitator intervention to refocus collaborative efforts. We hope this metric will be a promising first step in further understanding and assessing the quality of collaboration across multiple device platforms in a single shared space. This paper provides an in depth look at a highly exploratory stage of a broader research trajectory to establish a robust, effective way to track screen views, including providing resources to teachers when students engage in similar learning environments, and providing insight from log data to understand how students effectively collaborate.

Original languageEnglish (US)
Title of host publicationLAK 2021 Conference Proceedings - The Impact we Make
Subtitle of host publicationThe Contributions of Learning Analytics to Learning, 11th International Conference on Learning Analytics and Knowledge
PublisherAssociation for Computing Machinery
Pages173-183
Number of pages11
ISBN (Electronic)9781450389358
DOIs
StatePublished - Apr 12 2021
Event11th International Conference on Learning Analytics and Knowledge: The Impact we Make: The Contributions of Learning Analytics to Learning, LAK 2021 - Virtual, Online, United States
Duration: Apr 12 2021Apr 16 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on Learning Analytics and Knowledge: The Impact we Make: The Contributions of Learning Analytics to Learning, LAK 2021
CountryUnited States
CityVirtual, Online
Period4/12/214/16/21

Keywords

  • Astronomy education
  • Immersive virtual reality
  • Log data
  • Science education
  • Shared view

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Developing an in-application shared view metric to capture collaborative learning in a multi-platform astronomy simulation'. Together they form a unique fingerprint.

Cite this