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VLOGS: Virtual Laboratory Observation Tool for Monitoring a Group of Students

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Published:28 October 2022Publication History

ABSTRACT

Virtual laboratories (VLs) enable students to conduct lab experiments in the virtual world using Virtual Reality (VR) technology, providing benefits in areas such as availability, safety as well as scalability. While there are existing platforms that provide VLs with rich content as well as research works on promoting effective learning in VLs, less attention has been paid on VLs from a teaching perspective. Students usually learn and practice in VL sessions with limited help from the instructors. Instructors, on the other hand, could only receive limited information on the performance of the students and could not provide timely feedback to facilitate students’ learning. In this work, we present a prototype virtual laboratory monitoring tool, created using a design thinking approach, for addressing teaching needs when conducting a virtual laboratory session simultaneously for multiple students, similar to that in a physical lab environment.

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References

  1. Douglas Ayega and Adil Khan. 2020. Students Experience on the Efficacy of Virtual Labs in Online Biology. In 2020 The 4th International Conference on Education and E-Learning (Yamanashi, Japan) (ICEEL 2020). Association for Computing Machinery, New York, NY, USA, 75–79. https://doi.org/10.1145/3439147.3439170Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Hasso Plattner Institute of Design at Stanford University. 2010. An Introduction to Design Thinking PROCESS GUIDE. Retrieved July 19, 2022 from https://web.stanford.edu/ mshanks/MichaelShanks/files/509554.pdfGoogle ScholarGoogle Scholar
  3. Santawat Thanyadit, Parinya Punpongsanon, Thammathip Piumsomboon, and Ting-Chuen Pong. 2022. XR-LIVE: Enhancing Asynchronous Shared-Space Demonstrations with Spatial-Temporal Assistive Toolsets for Effective Learning in Immersive Virtual Laboratories. Proc. ACM Hum.-Comput. Interact. 6, CSCW1, Article 136 (apr 2022), 23 pages. https://doi.org/10.1145/3512983Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, and Huamin Qu. 2021. EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos. IEEE Transactions on Visualization and Computer Graphics 27, 7(2021), 3168–3181. https://doi.org/10.1109/TVCG.2019.2963659Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
        October 2022
        413 pages
        ISBN:9781450393218
        DOI:10.1145/3526114

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        Publication History

        • Published: 28 October 2022

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