Date of Award

5-2025

Document Type

Thesis

Degree Name

Master of Construction Science and Management (MCSM)

Department

Construction Science and Management

Committee Chair/Advisor

Dr. Joseph Michael Burgett

Committee Member

Dr. Dhaval Gajjar

Committee Member

Dr. Kirk Bingenheimer

Abstract

This research explores the effectiveness of using Artificial Intelligence (AI)-generated voice-over presentations as an alternative to traditional human-narrated lectures in online education. The study focuses on students preparing for the Federal Aviation Administration (FAA) Part 107 exam for Commercial small Unmanned Aircraft Systems (sUASs). By comparing AI-generated lectures with human-narrated content, the research aims to assess the impact of AI on student satisfaction, engagement, and performance. A mixed-methods approach was employed, combining quantitative analysis of exam scores and survey data with qualitative insights from student interviews. The methodology includes the creation of AI-generated voice-over presentations, survey distribution to both control and experimental groups, and interviews with the experimental group students. Statistical analysis revealed no significant difference in exam performance between groups, showing AI-generated lectures were as effective as human-narrated ones for Part 107 exam preparation. Surveys indicated students valued the accessibility and consistent pacing of AI lectures but preferred human interaction in some areas. AI tools like chatbots and notes were helpful for quick clarifications but less effective for detailed explanations. This study confirms AI lectures as a viable alternative, with future research focused on enhancing personalization and engagement.

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