The impact of using artificial intelligence generated text-to-speech avatars on learning in video-based trainings

Date

2024-4-22

Author

Ünal Tüfekçioğlu, Gülden

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Technological advancements, particularly in Artificial Intelligence (AI), have paved the way for innovative approaches in education. In this context, AI avatars have begun to be seen as potential tools that can improve the learning experience. This study investigates the impacts of using AI generated text-to-speech avatars in Video-Based Learning Material (VBLM) on the learning experience. The thesis aims to examine the levels of perceived knowledge and awareness, acceptance of technology and satisfaction levels of learners, and overall contentment among participants who watched a video of a real trainer versus those who watched a video of an AI generated text-to-speech avatar. To address the research questions, a quasi-experimental method along with convenient sampling has been planned. The control group participants were exposed to VBLM filmed by a real trainer, while the experimental group followed VBLM featuring instructional guides as an AI generated text-to-speech avatar. Pre-test and post-test to measure knowledge and awareness levels, along with technology acceptance scale, satisfaction scale, and questionnaire evaluating the VBLM were administered. The findings indicate no significant differences in levels of perceived knowledge and awareness between the experimental and control groups. However, for the experimental group, levels of technology acceptance, satisfaction, and overall contentment were statistically significantly lower compared to the control group. Furthermore, the findings of this study aim to contribute to the rapidly growing literature on educational technology and inform instructional designers and educators about the outcomes of incorporating AI generated text-to-speech avatars into VBLM.

Subject Keywords

Video-based learning material, Video-based learning content, Video-based learning environment, Technology acceptance model, Text-to-speech tools, Artificial intelligence avatar

URI

https://hdl.handle.net/11511/109769

Collections

Graduate School of Natural and Applied Sciences, Thesis