Introduces a rubric drawn from adaptive learning frameworks to assess VLMs on adaptivity, correctness, and quality in math instruction, finding measurable differences but inconsistent performance with limited learner information.
Jaylen Jones, Lingbo Mo, Eric Fosler-Lussier, and Huan Sun
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
CausaDisco integrates Aristotle's Four Causes into LLM prompts to produce more engaging, exploratory, and multifaceted self-learning dialogues, as evidenced by controlled user studies.
citing papers explorer
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Can Vision Language Models Be Adaptive in Mathematics Education? A Learner Model-based Rubric Study
Introduces a rubric drawn from adaptive learning frameworks to assess VLMs on adaptivity, correctness, and quality in math instruction, finding measurable differences but inconsistent performance with limited learner information.
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Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue
CausaDisco integrates Aristotle's Four Causes into LLM prompts to produce more engaging, exploratory, and multifaceted self-learning dialogues, as evidenced by controlled user studies.