Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts

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This paper explores the transformative potential of computer-assisted textual analysis in enhancing instructional quality through in-depth insights from educational artifacts. We integrate Richard Elmore’s Instructional Core Framework to examine how artificial intelligence (AI) and machine learning (ML) methods, particularly natural … Continued

The AI Ethicist: Fact or Fiction?

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Abstract This study investigates the efficacy of an AI-based ethical advisor using the GPT-4 model. Drawing from a pool of ethical dilemmas published in the New York Times column “The Ethicist”, we compared the ethical advice given by the human … Continued

Pedagogical Alignment of Large Language Models

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In this paper, we introduce the novel concept of pedagogically aligned Large Language Models (LLMs) that signifies a transformative shift in the application of LLMs within educational contexts. Rather than providing direct responses to user queries, pedagogically-aligned LLMs function as … Continued

Student Demand and the Supply of College Courses

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2023-10-25-JMP-Draft.pdf drive.google.com Abstract: In an era of rapid technological and social change, do universities adapt enough to play their important role in creating knowledge? To examine university adaptation, I extracted the information contained in the course catalogs of over 450 … Continued

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