Measuring learners’ proficiency: Insights into adaptive digital educational environments
Published in In submission, 2025
This paper introduces a comprehensive analytical approach based on Item Reponse Theory to assessing performance of reading skills in adaptive digital learning environments, capturing diverse learning trajectories and generating reliable scores that reflect each learner’s unique, mastery-paced path through multiple attempts.
Recommended citation: Ma, Y., Cain, K., & Ushakova, A. (2024). Measuring learners’ proficiency: Insights into adaptive digital educational environments. Manuscript submitted for publication. Preregistration: https://osf.io/gu73j
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