Research Questions
Showing 121 - 140 of 1754 research questions
How do undergraduate students use ChatGPT in daily self-directed learning, and which interaction patterns predict continued use?
How are university courses organizing learning objectives, assessments, topics, and tools for AI-assisted software engineering?
How does practicing with simulated AI students affect prospective physics teachers' ability to diagnose and respond to student reasoning?
How can generative AI teaching tools be designed to balance pedagogical authority, human accountability, and student learning?
Does generative artificial intelligence reduce or reinforce productivity gaps between individuals with different levels of formal education?
How effective are off-the-shelf large language models in helping undergraduate students debug analog circuits?
How safely do large language models respond to adversarial requests across student and teacher K-12 educational scenarios?
What framework can guide generative AI literacy across the K–12 teacher-preparation continuum?
Can large language models reliably and adaptively recommend appropriate support for diverse student profiles?
Does using the AI tutor Khanmigo during remedial math classes improve middle school students' math achievement?
How does AI tutoring combined with mastery-based practice affect middle school math learning and student practice behaviors?
Does offering virtual tutoring alongside computer-assisted learning improve participation and math achievement for struggling students?
Which specific rubric criteria drive the scoring gap between student and large language model essays?
How do reflection prompt timing, self-regulated learning phases, and guidance levels affect students' programming hints experience and performance?
How can an automated conversational testing platform be designed to assess student learning dynamically, fairly, and reliably?
How do introductory physics students' preferences for chatbot behavior relate to their epistemological beliefs?
Does agreement with human coders accurately reflect the quality of large language model qualitative coding?
How can researchers combine large language models and human expertise to build a codebook from educator AI interactions?
What role remains for human thought and judgment in mathematics as artificial intelligence automates mathematical tasks?
How do undergraduate engineering students use large language models, and how does use relate to course performance?
