Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?

arXiv — cs.LGWednesday, November 5, 2025 at 5:00:00 AM

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?

Knowledge tracing models play a significant role in educational settings by supporting teacher decision making, particularly in determining which tasks to assign to students and when to conclude instruction on specific skills. The interpretability of these models is emphasized as a crucial factor, ensuring that they accurately reflect human learning processes. This interpretability allows teachers to understand and trust the assessments provided by the models, which offer clear evaluations of student abilities. By aligning with how humans learn, knowledge tracing models can more effectively guide instructional decisions. The clarity and transparency of these models help educators make informed choices tailored to individual student needs. Overall, the article highlights the importance of developing knowledge tracing models that are both interpretable and reflective of authentic learning to enhance their practical utility in classrooms.

— via World Pulse Now AI Editorial System

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