DIGITAL LIBRARY
ENHANCING LEARNING CONTENT THROUGH GENERATIVE AI: A COMPARATIVE STUDY
Monash University (AUSTRALIA)
About this paper:
Appears in: EDULEARN24 Proceedings
Publication year: 2024
Pages: 3050-3054
ISBN: 978-84-09-62938-1
ISSN: 2340-1117
doi: 10.21125/edulearn.2024.0810
Conference name: 16th International Conference on Education and New Learning Technologies
Dates: 1-3 July, 2024
Location: Palma, Spain
Abstract:
In contemporary higher education, engaging students through digital media has become paramount. This experiment investigates the efficacy of integrating generative AI (GenAI) technology into pre-recorded videos to enhance student engagement and interest. The research compares the difference in student perceptions of two versions of a video: one is created entirely by an educator, and the other created in collaboration with AI.

The primary research question guiding this study is: Does the integration of AI-generated enhancements in pre-recorded videos stimulate greater student engagement and interest compared to non-AI pre-recorded videos? To address this question, a group of non-specialist learners in foundational Statistics was recruited to view two versions of a video on the same topic. The first version was created using conventional recording and editing software without any intentional use of GenAI. The second version employed Visla, an AI-powered video creation platform, to integrate AI-generated voiceover, interspersed with stock footage and music, to enhance the video.

Following the viewing, participants completed a survey encompassing a series of questions aimed at discerning their preferences regarding the learning experience facilitated by each version of the video.

This research contributes to the ongoing discourse surrounding the integration of AI technologies in education, shedding light on their potential to revolutionise traditional learning content and enhance student learning experiences. Ultimately, the findings offer valuable insights into leveraging generative AI to foster deeper engagement and comprehension among students in educational settings.
Keywords:
Generative AI, GenAI, artificial intelligence, videos, digital media, learning content, technology, higher education.