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FLoRA Facilitating Self-Regulated Learning with Personalized Scaffolds on Student’s own Regulation Activities

Fachliche Zuordnung Allgemeines und fachbezogenes Lehren und Lernen
Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing
Entwicklungspsychologie und Pädagogische Psychologie
Förderung Förderung von 2018 bis 2023
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 396890455
 
Erstellungsjahr 2023

Zusammenfassung der Projektergebnisse

We investigated three important research questions with high scientific impact. First, we developed a way to capture learning behavior in an accurate and meaningful way via log data. This means that we can slowly move from think aloud studies, which are obtrusive and timeconsuming, to log data studies, which are unobtrusive and less time-consuming. To that end, we developed and validated an analytics-based self-regulated learning measurement protocol and, at the same time, enhanced the granularity of trace data collected during students’ learning. A rule-based artificial intelligence system was developed and used for capturing and supporting learning in real-time. Second, we developed scaffolds that were personalized to learners’ own self-regulated learning process, which was not done before. Third, we developed personalized scaffolds and, by doing so, introduced an approach to designing such scaffolds to support learning. In other words, we described our design process and decisions made along the way to inform future design of personalized scaffolds. Furthermore, we tested and refined personalized scaffolds to improve how students complied with them. The sophisticated infrastructure developed with learning tools, personalized scaffolds, a learning environment, and a rule-based artificial system embedded and integrated served as a basis as well as an exemplar for future advanced learning technologies to build upon. The largest obstacle was the COVID-19 pandemic. We ensured safe data collection by adhering to local policies. Regarding the results, one of the "surprises" was that the CG students in Study 3 who did not receive scaffolds learned similarly to the EG students who received scaffolds, i.e., they also showed more regulatory events and similar learning patterns, especially in relation to the students in Study 1 (who also studied without scaffolds).We interpret these results to mean that the use of an improved learning environment in Study 3 through the addition of instrumentation tools (e.g., planners, notes, etc.) also led to improved learning regulation.

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