Enhancing self-regulated learning through instructional supports and learning analytics in online higher education

Jacqueline Wong

Enhancing self-regulated learning through instructional supports and learning analytics in online higher education

Jacqueline Wong

Department of Psychology, Education and Child Studies

Research output: Types of Thesis › Doctoral Thesis › Internal

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Abstract

The aim of this thesis is twofold: 1) to investigate how self-regulated learning (SRL) can be facilitated in Massive Open Online Courses (MOOCs), and 2) to explore learning analytics as a tool to investigate SRL. The current dissertation provides insight into the design, implementation, challenges, and future directions for SRL support in MOOCs as well as the use of learning analytics to measure and facilitate SRL.

Original language	English
Awarding Institution	Erasmus University Rotterdam
Supervisors/Advisors	Paas, Fred, Supervisor Baars, MA (Martine), Co-supervisor de Koning, Bjorn, Co-supervisor
Award date	21 Jan 2022
Place of Publication	Rotterdam
Print ISBNs	978-94-6423-563-0
Publication status	Published - 21 Jan 2022

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Cite this

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AB - The aim of this thesis is twofold: 1) to investigate how self-regulated learning (SRL) can be facilitated in Massive Open Online Courses (MOOCs), and 2) to explore learning analytics as a tool to investigate SRL. The current dissertation provides insight into the design, implementation, challenges, and future directions for SRL support in MOOCs as well as the use of learning analytics to measure and facilitate SRL.

M3 - Doctoral Thesis

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Enhancing self-regulated learning through instructional supports and learning analytics in online higher education

Abstract

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