Research Questions
Showing 501 - 520 of 1754 research questions
How effectively can language models proactively discover user preferences and adapt their reasoning to individual learners?
How do university students interact with an AI chatbot during programming assignments, and how does usage relate to course outcomes?
How can open-source language models running locally support both undergraduate engineering students and instructors from lecture transcripts?
How can a controlled language mapping interface support instructors in co-creating educational games with an AI assistant?
What physics misconceptions appear in student chatbot conversations, and how can computational methods help identify them?
How do STEM faculty use generative AI, view its impact on learning, and perceive needed institutional policies?
How can AI tools support K–16 STEM career development responsibly without reinforcing inequities or prematurely narrowing options?
Does correct mathematical problem-solving in models reflect genuine, reliable internal reasoning or superficial shortcuts?
Can general-purpose language models predict student answers more accurately, cheaply, and quickly than specialized knowledge tracing models?
How accurately can language models match university course descriptions to standardized occupational skills?
How do higher education students view their awareness of, preparedness for, and concerns about generative AI?
Can a multi-agent framework improve student cognitive diagnosis and tutoring efficiency in conversational learning dialogues?
Can AI tools accurately classify the cognitive demand of mathematics tasks using an established framework?
Can a human-agent collaborative system generate higher-quality interactive educational documents than a single-call language model?
Can visual analytics with simulated students help instructors design effective visualization literacy multiple-choice questions?
How accurately do vision-language models describe and evaluate handwritten math work from students with and without errors?
Can personalized algorithmic recommendations improve student engagement on an educational technology platform?
How do generative AI interventions affect mathematics learning outcomes, and what factors influence their effectiveness?
Can optimizing contrastive few-shot examples and generated rationales improve automated grading accuracy and resolve borderline score cases?
Can separating specific grading error patterns improve the accuracy and efficiency of automated AI rubric optimization?
