[Purpose/significance] In the Internet era, video platforms have become a new knowledge learning scenario. In this scenario, the search interaction process can be seen as a self-regulated learning process. This paper focuses on the effects of different task types and learning cognitive strategies on video-based search behavior in self-regulated learning contexts to complement research in the field of interactive information retrieval on video-based search behavior in learning contexts.[Method/process] In this paper, we chose two types of tasks:factual and skill-based. And cognitive strategies were classified into four types based on the self-regulated learning framework:rehearsal,elaboration,organization and critical thinking. The study adopted an experimental approach, using the Bilibili video site as a test system, and borrowed an existing measurement framework to explore the differences in behavioral characteristics and search effects of users with different learning cognitive strategies when performing different types of tasks based on experimental data.[Result/conclusion] This paper finds that different task types and learning cognitive strategies affect search behavior and learning effectiveness, showing significant differences in several indicators. The analysis and conclusion combined with task and cognitive strategy characteristics suggest improvements for the system use of video-based search platforms in learning contexts, which have positive implications for the improvement of such search platforms and the enhancement of user search experience and learning efficiency.
Fang Zhou
,
Hong Caifei
,
Qin Shuyan
,
Liu Chang
. The Effects of Task Type and Learning Cognitive Strategies on Video-type Search Behavior in a Self-regulated Learning Context[J]. Library and Information Service, 2021
, 65(21)
: 84
-96
.
DOI: 10.13266/j.issn.0252-3116.2021.21.016
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