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2019 | OriginalPaper | Buchkapitel

EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning

verfasst von : Yi Han Victoria Chua, Preman Rajalingam, Seng Chee Tan, Justin Dauwels

Erschienen in: Learning Technology for Education Challenges

Verlag: Springer International Publishing

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Abstract

Majority of learning analytics systems are designed to monitor and analyze students’ online interactions during collaborative learning. In the case of co-located collaborative learning, student interactions take place in the physical space as well as online. While existing learning management systems provide specific logs and snapshots of students’ online responses that are automatically captured, the potential of insights that can be derived from students’ non-digital face-to-face interactions during collaborative discourse remains untapped. In this paper, we propose an architecture for data acquisition and processing from co-located face-to-face collaborative learning, designed to be scalable beyond dyadic and triadic collaborative learning and across different curricula. We outline the system design, current experience of deployment across 4 sessions of co-located collaborative learning sessions, as well as brief examples of acquired data.

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Titel: EduBrowser: A Multimodal Automated Monitoring System for Co-located Collaborative Learning
verfasst von: Yi Han Victoria Chua
Preman Rajalingam
Seng Chee Tan
Justin Dauwels
Verlag: Springer International Publishing
Buch: Learning Technology for Education Challenges
Print ISBN: 978-3-030-20797-7

Electronic ISBN: 978-3-030-20798-4

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-20798-4_12

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