Presented at the IACIS 2025 Conference and published in Issues in Information Systems (IIS)
Summary:
This study addresses a widespread issue in higher education: publisher-provided slide decks are often overloaded with text, poorly structured, and misaligned with effective teaching practices. Revising these decks is a time-consuming task for faculty and often yields inconsistent results.
Using a Design Science Research (DSR) approach, I developed a modular workflow that integrates ChatGPT prompt engineering with a Python automation script. The artifact enables instructors to transform text-heavy publisher slides into concise, visually clear, and pedagogy-aligned decks in under one hour. The workflow was tested in a senior-level IS Capstone course, demonstrating its practical effectiveness in reducing preparation time while improving instructional clarityV3 – Formatted.
Key Contributions:
- Introduces a reusable AI-powered workflow for instructional slide redesign.
- Combines prompt engineering, structured Excel outputs, and python-pptx automation.
- Demonstrates improved slide quality grounded in Cognitive Load Theory and Multimedia Learning Principles.
- Provides measurable time savings (3–5 hours reduced to <1 hour per chapter deck).
- Positions generative AI as a design partner in instructional design