Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video

Zoe Ruo-Yu Li, Caswell Barry, Mutlu Cukurova
11/28/2024
cs.HCcs.AI

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Abstract

The widespread use of generative AI has led to multiple applications of AI-generated text and media to potentially enhance learning outcomes. However, there are a limited number of well-designed experimental studies investigating the impact of learning gains and affective feedback from AI-generated media compared to traditional media (e.g., text from documents and human recordings of video). The current study recruited 500 participants to investigate adult learners recall and recognition performances as well as their affective feedback on the AI-generated synthetic video, using a mixed-methods approach with a pre-and post-test design. Specifically, four learning conditions, AI-generated framing of human instructor-generated text, AI-generated synthetic videos with human instructor-generated text, human instructor-generated videos, and human instructor-generated text frame (baseline), were considered. The results indicated no statistically significant difference amongst conditions on recall and recognition performance. In addition, the participants affective feedback was not statistically significantly different between the two video conditions. However, adult learners preferred to learn from the video formats rather than text materials.

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@article{li2024adult,
  title  = {Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video},
  author = {Zoe Ruo-Yu Li and Caswell Barry and Mutlu Cukurova},
  year   = {2024},
  eprint = {2412.10384},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.10384v1}
}

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