Supporting Student-Centered Learning with Flexible Learning Trajectories and Open Learner Models

Open learner model
Bayesian inference
Learning analytics
Author

Chejara, P., Tammets, K., Laanpere, M., Volt, A., Tammets, P., & Savitski, P.

Doi

Citation (APA 7)

Chejara, P., Tammets, K., Laanpere, M., Volt, A., Tammets, P., & Savitski, P. (2025). Supporting Student-Centered Learning with Flexible Learning Trajectories and Open Learner Models. Companion Proceedings 15th International Conference on Learning Analytics & Knowledge. https://doi.org/10.13140/RG.2.2.34284.68489

Abstract

Flexible learning caters to each individual’s learning needs, offering a solution to provide personalized learning while preserving the student’s agency. However, effective utilization of this approach requires students to have some basic understanding of dependencies among learning contents, and the ability to track and assess their learning (i.e., metacognitive skill). Our research aims to address these challenges with a novel approach built upon an expert-designed domain model, flexible instructional trajectories, and open learner models (OLMs) to support students in flexible learning. We present our ongoing research work on leveraging log data to construct OLMs to provide meaningful insights into students’ learning processe

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