Research Questions
Showing 761 - 780 of 1754 research questions
Can a multi-agent system effectively simulate classroom interactions to generate high school math presentations and study notes?
How do novice and mixed-experience teams use generative AI to build software prototypes during an educational hackathon?
Can an AI whiteboard assistant proactively complete and refine educational diagrams based on spoken explanations and partial sketches?
Can fine-tuning and specialized evaluation benchmarks improve the pedagogical capabilities and safety of a generative AI tutor?
Does using large language models reduce the diversity of creative ideas at the collective level compared to human writing?
How does unrestricted versus restricted AI tutoring access affect student learning and study behavior?
How do upper secondary students perceive AI risks, and does their perceived AI competence shape these risk perceptions?
Can an instruction-tuned language model and automated aligner accurately transcribe and screen children's speech across multiple diagnostic tasks?
Can AI models accurately grade student short answers using training data from related questions?
Can incorporating human-in-the-loop feedback improve automated rubric-based grading accuracy in large language models?
Can a socially assistive robot coaching system effectively support college students in developing productivity and time management skills?
How do secondary students perceive, feel anxious about, and respond to ChatGPT-5 and its hallucinations?
Can combining multiple embedding models with confidence-based answer selection improve language models' accuracy on math questions?
How can an AI assistant support parent-child collaborative emotion education at home?
How effectively do large language models perform across diverse cognitive dimensions in Chinese primary and secondary education?
Can an evolutionary algorithm assemble personalized, one-shot adaptive tests that accurately estimate student abilities?
How do students experience interactions with software agents, and how do these connect to educational learning theories?
How accurately can large language models classify, rate, and explain specific writing errors in K-12 student essays?
How effectively can large language models repair syntax errors in novice code while preserving students' original logic?
What criteria define effective, value-aligned human-AI collaboration in education, and how can they guide evaluation tools?
