PERC 2024 Abstract Detail Page
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| Abstract Title: | Development and Analysis of Three-Dimensional Learning Assessments in Physics using Generative-AI |
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| Abstract Type: | Symposium Talk |
| Abstract: | Recent reports in higher education have called for shifting the focus on contemporary science learning towards promoting authentic knowledge-building practices. To facilitate this objective, frameworks such as "Three-Dimensional Learning" are advocated. This framework characterizes science learning along three "dimensions" namely (i) disciplinary core ideas – ideas central to understanding of a discipline, (ii) cross-cutting concepts – concepts that span across multiple disciplines, and scientific practices – disciplinary practices that are key to generating new knowledge in science. However, developing these assessments present several challenges including contextualizing them in real-world scenarios. We address these challenges by leveraging Generative-AI through a prompt template customizable to facilitate assessment development based on the instructors' choice of content areas, scientific practices, core ideas, and cross-cutting concepts. Insights from piloting the generated assessments in introductory courses are discussed. |
| Parallel Session: | Leveraging Artificial Intelligence in Teaching and Learning of Physics |
| Session Time: | Parallel Sessions Cluster 2 |
| Room: | Burroughs |
Author/Organizer Information | |
| Primary Contact: |
N. Sanjay Rebello Purdue University |
