图书情报工作 ›› 2021, Vol. 65 ›› Issue (10): 113-126.DOI: 10.13266/j.issn.0252-3116.2021.10.012

• 综述述评 • 上一篇    下一篇

搜索即学习主题的相关研究综述

宋筱璇, 刘畅, 陈建龙   

  1. 北京大学信息管理系 北京 100871
  • 收稿日期:2020-12-16 修回日期:2021-02-01 出版日期:2021-05-20 发布日期:2021-06-02
  • 通讯作者: 刘畅(ORCID:0000-0002-9183-6385),副教授,博士,硕士生导师,通讯作者,E-mail:imliuc@pku.edu.cn
  • 作者简介:宋筱璇(ORCID:0000-0002-6589-4071),博士研究生;陈建龙(ORCID:0000-0002-2076-9939),教授,博士,博士生导师。
  • 基金资助:
    本文系国家社会科学基金项目"学习型搜索中用户交互行为与学习效果关系研究"(项目编号:18BTQ090)研究成果之一。

A Review of Research from the Perspective of Searching as Learning

Song Xiaoxuan, Liu Chang, Chen Jianlong   

  1. Department of Information Management, Peking University, Beijing 100871
  • Received:2020-12-16 Revised:2021-02-01 Online:2021-05-20 Published:2021-06-02

摘要: [目的/意义] 对"搜索即学习(SAL)"主题的相关研究进行梳理,形成较为完整的综述,为未来进一步探索该主题提供相应的指导和参考。[方法/过程] 从SAL研究中涉及的4个关键问题:搜索和学习的关系、搜索过程的影响因素、学习的评估、系统优化,对已有文献展开回顾,并构建SAL主题下情境、人群、系统与搜索学习间关系的研究框架。[结果/结论] 未来SAL主题下的研究应重点关注4方面问题:①特征化学习情境,以设计学习型搜索任务,并根据任务特征评估学习产出;②探索人群的学习特征,如认知特征、元认知特征,对搜索过程中行为交互的影响;③理解搜索作为学习的过程,探索搜索行为和学习行为之间的联系;④结合情境要素、人群要素、搜索和学习的特征,重新设计、配置和优化当前的搜索系统,实现搜索系统和学习系统的融合,有效支持学习。

关键词: 搜索即学习(SAL), 学习型搜索, 搜索过程, 情境因素, 学习产出, 系统优化

Abstract: [Purpose/significance] This paper intends to sort out SAL-related studies, to form a more complete review, which provides the corresponding guidance and reference for future research in the SAL. [Method/process] In this paper, we reviewed previous studies to summarize the four main concerns in the current SAL studies:the relationship between searching and learning, the influencing factors of the search process, the evaluation of learning, and system optimization. Accordingly, a research framework for SAL, comprehensively considering context, people, system, and the relationship between searching and learning was proposed. [Result/conclusion] Future research should focus on four key issues:① characterizing learning context to design learning-related search tasks, and evaluate learning outcome corresponding to task characteristics; ② exploring how individual's learning characteristics, e.g., cognitive and metacognitive characteristics affect search interactions during the search process; ③ understanding searching as a learning process, to investigate the connections between search behaviors and learning behaviors; ④ merging contextual factors, individual factors, and searching and learning characteristics, to redesign, configure and optimize the current search system, for the integration of search system and learning system, and effectively support learning.

Key words: searching as learning (SAL), learning-related search, search process, contextual factors, learning outcome, system optimization

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