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Evidence record 6124 · automatically gathered

Neural-Symbolic Knowledge Tracing: Injecting Educational Knowledge into Deep Learning for Responsible Learner Modelling

The growing use of artificial intelligence (AI) in education, particularly large language models (LLMs), has increased interest in intelligent tutoring systems. However, LLMs often show limited adaptivity and struggle to model learners' evolving knowledge over time, highlighting the need for dedicated learner modelling approaches. Although deep knowledge tracing methods achieve strong predictive performance, their opacity and susceptibility to bias can limit alignment with pedagogical principles

Record details

Published: 9 April 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Safety & alignment · Children & education
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (9 April 2026), “Neural-Symbolic Knowledge Tracing: Injecting Educational Knowledge into Deep Learning for Responsible Learner Modelling,” evidence record 6124, https://ethics.ai/record/6124 (originally published by arXiv).

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