理论探讨

人智交互情境下学习型搜索中学习效果的影响因素研究

  • 徐丹 ,
  • 宋筱璇 ,
  • 龚红
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  • (南京农业大学信息管理学院江苏210095);(集美大学诚毅学院厦门361021)
徐丹,女,1994年生,南京农业大学信息管理学院硕士研究生。 宋筱璇,女,1992年生,南京农业大学信息管理学院副教授,硕士生导师(通讯作者)。 龚红,女,1983年生,集美大学诚毅学院管理系副教授。

网络出版日期: 2025-09-11

基金资助

本文系国家社会科学基金青年项目“学习型搜索中用户元认知作用机制研究”(批准号:22CTQ033)、江苏省社会科学基金青年项目“基于元认知的用户搜索交互行为研究”(项目编号:22TQC004)的研究成果之一。

Research on the Influencing Factors of Learning Effect in Learning-related Search in Human-AI Interaction Contexts

  • Xu Dan ,
  • Song Xiaoxuan ,
  • Gong Hong
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  • (College of Information Management, Nanjing Agricultural University, Jiangsu, 210095);(Chengyi College, Jimei University, Xiamen, 361021)

Online published: 2025-09-11

摘要

[目的/意义]人智搜索情境为学习型搜索的行为交互与学习效果带来了显著的影响与变革。文章旨在从一个综合全面的视角对学习型搜索的学习效果展开评价,并探索搜索工具与任务类型对学习效果的影响。[方法/过程]采用实验法,设计了接受性、评价性、创造性三类学习型搜索任务,提供了传统搜索引擎、GenAI两类搜索工具,收集了用户利用不同搜索工具完成各类任务的学习效果数据,结合主观学习体验与客观学习产出两个角度对学习效果进行了分析。[结果/结论]用户的学习体验主要受到任务类型的影响,而受当前具体使用的搜索工具作用尚不明确。在学习产出方面,对于完成接受性、评价性学习任务,搜索引擎在知识点数、知识点覆盖度、知识点
独特性、知识面深度方面较GenAI有更明显的优势,而对于创造性学习任务,无论是搜索引擎还是GenAI的支持都相对有限,但GenAI略有优势。

本文引用格式

徐丹 , 宋筱璇 , 龚红 . 人智交互情境下学习型搜索中学习效果的影响因素研究[J]. 情报资料工作, 2025 , 46(5) : 35 -44 . DOI: 10.12154/j.qbzlgz.2025.05.004

Abstract

[Purpose/significance] The human-AI search context has significantly reshaped behavioral interactions and learning effect in learning-related search. This study aims to provide a comprehensive evaluation of learning effect and to examine how search tools and task types jointly influence learning outcomes. [Method/process] An experimen⁃tal method was adopted to design three types of learning-related search tasks: receptive, critical, and creative. Two kinds of search tools, traditional search engines and Generative AI (GenAI), were provided. Learning effect data were collected from users who completed different tasks with these tools. The analysis of learning effect was conducted from two perspectives: subjective learning experiences and objective learning outcomes.[Result/conclusion] Users′ learn⁃ing experiences were mainly influenced by task types, while the specific effect of the search tool used remained un⁃clear. In terms of learning outcomes, traditional search engines outperformed GenAI in receptive and critical tasks, par⁃ticularly in the number, coverage, and uniqueness of knowledge points as well as the depth of knowledge facets. For cre⁃ative tasks, however, both tools provided relatively limited support, with GenAI showing a slight advantage.
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