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A Framework for Exploring the Impact of Tutor Practices on Learner Self-regulation in Online Environments

Khan-Galaria, M; Cukurova, M; Luckin, R; (2020) A Framework for Exploring the Impact of Tutor Practices on Learner Self-regulation in Online Environments. In: Artificial Intelligence in Education. (pp. pp. 135-139). Springer Nature Green open access

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Abstract

There is increasing interest in the conceptualization of Self-Regulated learning (SRL) as a dynamic process which unfolds over the course of a learning activity. This is partly because this conceptualization could potentially be operationalized and used as the basis for AI and analytics tools which monitor and scaffold SRL in real-time. However, while there is an abundance of research on theories of SRL, little research explicitly reviews and operationalizes such theoretical considerations. Work is needed to develop frameworks for the practical applications of fundamental SRL theories, helping researchers move from conceptual considerations to operationalization in real world settings. In this paper, we propose a theoretically grounded framework for investigating SRL in the context of online tutoring for upper primary school learners. SRL is interpreted as a social learning construct, and the framework proposed is designed to investigate the influence of tutor practices on the development of learners’ SRL. We present the results of a pilot study that explored the applicability of the framework.

Type: Proceedings paper
Title: A Framework for Exploring the Impact of Tutor Practices on Learner Self-regulation in Online Environments
Event: 21st International Conference, AIED 2020
ISBN-13: 978-3-030-52239-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-52240-7_25
Publisher version: https://doi.org/10.1007/978-3-030-52240-7_25
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Self-regulated learning, online tutoring, Winne and Hadwin model, tutor practices, metacognition, virtual classroom environment, process mining
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: https://discovery.ucl.ac.uk/id/eprint/10106760
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