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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Renata Kochut; Thomas Brady – International Society for Technology, Education, and Science, 2024
This paper examines the Individualized Credit for Prior Learning (CPL) process in business education. It highlights its role in accrediting students' experiential learning and bridging practical experience with academic credit. This research then recommends solutions that include AI tools, advisor training, and centralized resource hubs. Most…
Descriptors: Business Education, Artificial Intelligence, Technology Uses in Education, Credits