Research Questions
Showing 821 - 840 of 1754 research questions
How do physics professors use and frame generative AI tools in their teaching and research?
How do university students use generative AI, perceive ethical boundaries, and differ by gender?
Can an automated AI tool generate effective reflective and diagnostic questions to support competitive programming students?
How effective is an applied generative AI software development course in preparing computer science students for industry work?
Can dynamically connecting course materials to an AI assistant inside a learning management system improve student satisfaction and engagement?
Can reinforcement learning optimize AI tutors to adapt guidance to students' cognitive progress without revealing answers?
Can an automated search framework generate high-quality synthetic training data for subjective educational tasks without reference datasets?
Can a multi-agent artificial intelligence framework create more informative, reliable, and practical instructional presentation slides?
How do human-like and system-like trust differently shape students' perceptions and intentions to use an AI chatbot?
Can a pedagogically fine-tuned AI model safely and effectively support students in chat-based tutoring?
How can policy, research, and education address the ethical and anthropological challenges of AI recommender systems?
How can AI enhance educational dialogue while preserving authentic human interaction and agency?
Can automated back-translation into structured representations reliably evaluate the correctness of AI-generated math diagrams?
How closely do AI models' judgments of math problem interestingness align with human judgments?
Can large language models reliably generate structurally consistent and mathematically correct practice problems for educational use at low cost?
How do students and instructors use a hybrid help system that allows escalating unhelpful AI hints to instructors?
Can a metacognitive framework uncover and mitigate implicit, context-dependent safety risks in large language models?
How do large language models simulating teachers align with human educator personalities, moral reasoning, and safety risks?
How well do large language models maintain pedagogical fidelity and resist adversarial safety prompts when simulating teachers?
How reliably can a multimodal artificial intelligence model grade handwritten general chemistry exams compared to human teaching assistants?
