LAK24 TRACE-SRL

OVERVIEW

Prior research has shown that self-regulated learning (SRL) skills are essential for successful life-long learning. Measuring SRL based on unobtrusive trace data and facilitating SRL based on real-time analysis of such trace data have been pointed out as valuable research directions. However, major challenges and significant gaps in this area are still many, such as i) the detection, measurement, and validation of SRL processes with trace data is still a much-debated issue within the SRL community; and ii) the design principles for effective interventions and the complex conditions and contexts, when these interventions facilitated learning, are still not known.

Therefore, we aim to improve the measurement and facilitation of SRL by hosting this full-day workshop, which will:

1. initiate a project-to-project level dialogue to foster deep, cross-team collaborations and 

2. provide the participants with hands-on opportunities to experience the measurement and facilitation of SRL.

OBJECTIVES

From a research perspective, this workshop aims to: i) increase awareness of how tools and data channels can be combined to measure SRL; ii) elicit new approaches for measurement and analysis of SRL; iii) understand how combining student data and artificial intelligence can be used to create actionable insights into students learning; iv) design new representations/forms of communicating SRL scaffolding, dashboards or feedback to facilitate teaching and learning. From the participant's perspective, we expect to: i) improve the knowledge and skills of participants about SRL measurement, learning processes and SRL support; ii) produce a repository of new requirements, considerations and approaches of instruments for SRL; iii) build a research community, foster partnerships, and facilitate deployment of similar tools and analytics platforms as collaborative projects; iv) explore opportunities for joint publications (e.g., a journal special issue) and future workshops resulting from the collaborations. In previous workshops, many scholars mentioned the openness of learning platforms and tools, data sharing, and the importance of international collaborative research. Therefore, in this year, we emphasise two objectives different from other workshops or research tracks in LAK24:

• Provide more hands-on opportunities to experience the measuring and facilitating of SRL using our platform. Participants will explore a learning analytic project and platform FLoRA integrated with various instrumentation tools and personalised scaffoldings, and they will be able to explore the data we provided and also the data generated by them, and then co-design possible SRL-related scaffoldings and feedback representations for learners and instructors.

• Initiate and launch an international joint research call based on the same platform and similar tasks. By convening researchers and educators with shared interests, our objective is to exchange insights on our platform, tasks, datasets, and project learnings, followed by deliberations on establishing an annual global collaborative research initiative. This could involve, for instance, encouraging educators to utilize a unified platform and allocate similar tasks within their courses. Such an approach enables the accumulation of data that is amenable to comparison, triangulation, and examination across various contexts, significantly enhancing the potential for international collaborative research and discourse, thereby enriching our comprehension of Self-Regulated Learning (SRL).