View Proposal

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Proposer

Ralph Barthel

Title

Supporting Socially-Shared Regulation of Learning

Goal

Designing and Evaluating Support for Socially Shared Regulation of Learning

Description

Collaborative learning relies on groups being able to plan, monitor, reflect on and adapt their work together. These processes are commonly described as socially shared regulation of learning (SSRL). This project will investigate how digital tools can support these processes during collaborative activities. You will design and evaluate a prototype that provides support through prompts, feedback or group-awareness information. The project could use rule-based or adaptive approaches, with AI as an optional extension. The focus is on how technology can support effective group regulation while keeping learners actively involved in planning, monitoring, reflection and decision-making.

Resources

Background

[1] Panadero, E., & Järvelä, S. (2015). Socially shared regulation of learning: A review. European Psychologist, 20(3), 190–203. https://doi.org/10.1027/1016-9040/a000226 [2] Järvelä, S., Kirschner, P. A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., Koivuniemi, M., & Järvenoja, H. (2015). Enhancing socially shared regulation in collaborative learning groups: Designing for CSCL regulation tools. Educational Technology Research and Development, 63(1), 125–142. https://doi.org/10.1007/s11423-014-9358-1 [3] Miller, M., & Hadwin, A. F. (2015). Scripting and awareness tools for regulating collaborative learning: Changing the landscape of support in CSCL. Computers in Human Behavior, 52, 573–588. [4] Järvelä, S., Nguyen, A., & Hadwin, A. (2023). Human and artificial intelligence collaboration for socially shared regulation in learning. British Journal of Educational Technology, 54(5), 1057–1076. https://doi.org/10.1111/bjet.13325

Url

Difficulty Level

Variable

Ethical Approval

Full

Number Of Students

2

Supervisor

Ralph Barthel

Keywords

socially shared regulation of learning (ssrl), user interface design, user experience, explainable ai

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Information Technology (Software Systems)
Master of Science in Software Engineering
BSc Data Sciences