1 citations · 2 across the 12 of their papers we have counts for
16 papers
Cognitive Load and Situational Interest in Physics Laboratories: A Comparative Study Across Three Instructional Modalities
Razan Hamed, N. Sanjay Rebello
Understanding how an instructional approach shapes student's cognitive resources and engagement is central to improving undergraduate physics education especially for novice learne…
Making Evidence Actionable in Adaptive Learning Closing the Diagnostic Pedagogical Loop
Amirreza Mehrabi, Jason Wade Morphew, Breejha Quezada +1
Adaptive learning often diagnoses precisely yet intervenes weakly, producing help that is mistimed or misaligned. This study presents evidence supporting an instructor-governed fee…
Making Evidence Actionable in Adaptive Learning
Amirreza Mehrabi, Jason W. Morphew, Breejha Quezada +1
Adaptive learning often diagnoses precisely yet intervenes weakly, yielding help that is mistimed or misaligned. This study presents evidence supporting an instructor-governed feed…
Examining Student and AI Generated Personalized Analogies in Introductory Physics
Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi +1
Comparing abstract concepts (such as electric circuits) with familiar ideas (plumbing systems) through analogies is central to practice and communication of physics. Contemporary r…
Help or Hype? Students' Engagement and Perception of Using AI to Solve Physics Problems
Qurat-ul-Ann Mirza, N. Sanjay Rebello
With the rise of large language models such as ChatGPT, interest has grown in understanding how these tools influence learning in STEM education, including physics. This study expl…
Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts
Amogh Sirnoorkar, N. Sanjay Rebello
Since the advent of GPT-3.5 in 2022, Generative Artificial Intelligence (AI) has shown tremendous potential in STEM education, particularly in providing real-time, customized feedb…