Abstract
Online learning has been increasingly popular, yet it is often not easy for learners to grasp the structure of educational videos. AI-generated video summaries offer a potential solution, but their effectiveness in learning remains unclear. This research proposes to examine how AI summaries influence learning performance in video-based learning contexts, with attention to differences between conceptual and procedural knowledge. We also explore the role of summary cohesion, distinguishing between content cohesion (semantic cues) and format cohesion (structural cues), and how these forms interact with knowledge type to shape learning. We propose a research model and will test the hypotheses through two controlled experiments, including an eye-tracking study. Expected contributions include advancing IS research on online learning through the study of AI summaries, identifying knowledge type as a key moderator of their effects, and differentiating the impact of content and format cohesion.
Recommended Citation
ZHU, Jiayi; HONG, Weiyin; WEI, Oliver; and ZHOU, Jiali, "Cohesion Matters: Understanding the Impact of AI Summaries on Conceptual and Procedural Knowledge Learning" (2025). SIGHCI 2025 Proceedings. 1.
https://aisel.aisnet.org/sighci2025/1
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