LA-ReflecT platform’s affordances for distributed multimodal learning analytics

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  • dc.contributor.author Majumdar, Rwitajit
  • dc.contributor.author Singh, Daevesh
  • dc.contributor.author Rajendran, Ramkumar
  • dc.contributor.author Narayanan, Soumya
  • dc.contributor.author Gatare, Kinnari
  • dc.date.accessioned 2024-08-28T13:47:12Z
  • dc.date.available 2024-08-28T13:47:12Z
  • dc.date.issued 2024-08-28
  • dc.description Pòster presentat a: The 30th International Conference on Collaboration Technologies and Social Computing (Collabtech), del 11 al 14 de setembre a Barcelona, Espanya.
  • dc.description.abstract We present the affordances of LA-ReflecT, an LTI-enabled platform, and its potential to collect geographically distributed and asynchronous multimodal learning data. As a user, teachers can author micro-learning activities with multimedia content and distribute it to the learners through the LMS. The system captures learners’ interaction as a log for analytics and presents it back in the dashboard for self-reflection. For multimodal data, it synchronizes API-based action logs such as YouTube video-watching behaviors and mobile-applicationbased data streaming from wearable sensors synchronized with their particular activity. It can be linked to their learning log, a time-series data upload option linked to a specific activity session, and synchronizing web-sensors data through API. It helps track interactions and artifacts students create within the platform as xAPI logs. The platform facilitates reflection on the action by presenting information on a dashboard as a part of the learning activity. LA-ReflecT also enables an app connecting with Bluetooth sensors that stream time series signals. The sensor data from a user is synchronized with their particular activity and can be linked to their learning log. We are doing multiple pilots with research partners in Japan and India. We are open to discussing adaptors who want to potentially pilot LA-ReflecT to create microlearning material and investigate the potential of the data logged in the platform.ca
  • dc.format.mimetype application/pdf*
  • dc.identifier.citation Majumdar R, Singh D, Rajendran R, Narayanan S, Gatare K. LA-ReflecT platform’s affordances for distributed multimodal learning analytics. Poster presented at: The 30th International Conference on Collaboration Technologies and Social Computing (Collabtech); 2024 Sep 11-14; Barcelona, Spain.
  • dc.identifier.uri http://hdl.handle.net/10230/60939
  • dc.language.iso engca
  • dc.rights Llicència CC Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional (CC BY-NC-ND 4.0)ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0ca
  • dc.subject.keyword LAreflecT
  • dc.subject.keyword Multimodal Learning Analytics (MMLA)
  • dc.subject.keyword Distributed data collection
  • dc.subject.keyword Distributed Learning Analytics (DLA)
  • dc.title LA-ReflecT platform’s affordances for distributed multimodal learning analyticsca
  • dc.type info:eu-repo/semantics/conferenceObjectca
  • dc.type.version info:eu-repo/semantics/acceptedVersionca