Abstract
Recent advances in generative artificial intelligence (AI) have captured worldwide attention. Tools such as Dalle-2 and ChatGPT demonstrate that tasks previously thought to be beyond the capabilities of AI may now augment the productivity of creative media in various new ways. To date, there is limited research investigating the real-world educational value of AI-generated media. To address this gap, we examined the impact of using generative AI to create learning videos with synthetic virtual instructors. We took a mixed-method approach, randomly assigning adult learners (n = 83) into one of two micro-learning conditions, collecting pre- and post-learning assessments, and surveying participants on their learning experience. The control condition included a traditionally produced instructor video, while the experimental condition included an AI-generated learning video with a synthetic virtual instructor. Learners in both conditions demonstrated significant improvement from pre- to post-learning (p <.001), with no significant differences in gains between the two conditions (p = .80), and no qualitative differences in the perceived learning experience. These findings suggest that AI-generated learning videos have the potential to be a viable substitute for videos produced via traditional methods in online educational settings, making high quality educational content more accessible across the globe.
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Leiker, D., Gyllen, A.R., Eldesouky, I., Cukurova, M. (2023). Generative AI for Learning: Investigating the Potential of Learning Videos with Synthetic Virtual Instructors. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_81
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