New paper published in Computers and Education
Torbjørn Netland, Oliver von Dzengelevski, Katalin Tesch, and Daniel Kwasnitschka have published the paper “Comparing human-made and AI-generated teaching videos: An experimental study on learning effects“ in Computers and Education.
In the age of generative AI, can teaching videos be efficiently and effectively generated by large language models?
In this study, the authors used generative AI tools to develop four short teaching videos for a management course and then compared them with human-generated videos on the same subjects in an online experiment.
A total of 447 participants watched a mix of AI-generated and human-made videos, rating their learning experience after each. At the end of the session, they took a multiple-choice exam to measure their learning outcomes. The findings indicate that participants prefer human-made teaching videos in terms of learning experience, however, when watching AI-generated videos, participants acquired knowledge about the content to a similar degree.
Given these results and the ease with which AI-generated teaching videos can be created, this study concludes that AI-generated teaching videos will likely proliferate.
To learn more about this research, please explore our article external page here.
