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題名 Preliminary Exploration of Learning Analytics in Virtual Reality: A Space-Themed Approach
作者 呂欣澤
Chuang, Joe K.Z.;Lu, Owen H.T.;Wu, Sheng-Yi
貢獻者 創國學士班
關鍵詞 Virtual reality; learning analytics; xAPI
日期 2026-06
上傳時間 18-Sep-2026 10:52:15 (UTC+8)
摘要 In this study, we present an end-to-end implementation of learning analytics for a virtual reality (VR) learning environment. The proposed solution includes a VR environment featuring a virtual International Space Station, an Experience API (xAPI) schema based on Actor–Verb–Object triples, a Learning Record Store (LRS), and a dashboard. The current dashboard presents summary metrics, task completion, accuracy, and the distribution of logged action verbs, providing an initial view of learner participation, task progression, and spatial exploration in the VR environment. To demonstrate feasibility, we conducted a workshop with 28 elementary school students using a scaffolded learning activity, during which 1,052 behavioral statements were collected. This preliminary work also revealed several technical challenges, including (1) device-sharing constraints, (2) verb–object semantic ambiguity, and (3) multi-level data granularity. Future studies will extend the analytical depth of the dashboard and explore sequence-based approaches for better understanding learners’ behavior in VR environments.
關聯 International Conference on Learning Evidence and Analytics (ICLEA), one of the Theme-Based International Conference Series (TBICS), Asia-Pacific Society for Computers in Education (APSCE)
資料類型 conference
dc.contributor 創國學士班
dc.creator (作者) 呂欣澤
dc.creator (作者) Chuang, Joe K.Z.;Lu, Owen H.T.;Wu, Sheng-Yi
dc.date (日期) 2026-06
dc.date.accessioned 18-Sep-2026 10:52:15 (UTC+8)-
dc.date.available 18-Sep-2026 10:52:15 (UTC+8)-
dc.date.issued (上傳時間) 18-Sep-2026 10:52:15 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=185476-
dc.description.abstract (摘要) In this study, we present an end-to-end implementation of learning analytics for a virtual reality (VR) learning environment. The proposed solution includes a VR environment featuring a virtual International Space Station, an Experience API (xAPI) schema based on Actor–Verb–Object triples, a Learning Record Store (LRS), and a dashboard. The current dashboard presents summary metrics, task completion, accuracy, and the distribution of logged action verbs, providing an initial view of learner participation, task progression, and spatial exploration in the VR environment. To demonstrate feasibility, we conducted a workshop with 28 elementary school students using a scaffolded learning activity, during which 1,052 behavioral statements were collected. This preliminary work also revealed several technical challenges, including (1) device-sharing constraints, (2) verb–object semantic ambiguity, and (3) multi-level data granularity. Future studies will extend the analytical depth of the dashboard and explore sequence-based approaches for better understanding learners’ behavior in VR environments.
dc.format.extent 123 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) International Conference on Learning Evidence and Analytics (ICLEA), one of the Theme-Based International Conference Series (TBICS), Asia-Pacific Society for Computers in Education (APSCE)
dc.subject (關鍵詞) Virtual reality; learning analytics; xAPI
dc.title (題名) Preliminary Exploration of Learning Analytics in Virtual Reality: A Space-Themed Approach
dc.type (資料類型) conference