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作 者:姜雪 李雨佳 张元哲 刘畅[1] Jiang Xue;Li Yujia;Zhang Yuanzhe;Liu Chang(Department of Information Management,Peking University,Beijing 100871)
出 处:《图书情报工作》2022年第8期32-41,共10页Library and Information Service
基 金:国家社会科学基金一般项目“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);北京大学教育大数据研究项目“基于自我调节学习理论的网络学习平台系统优化研究”(项目编号:2020YBC06)研究成果之一。
摘 要:[目的/意义]探究先验知识差异水平不同的组别在搜索交互行为、协同体验以及学习效果方面的差异,以丰富对协同信息搜索行为的认知,并为现实情境下的协同搜索学习提供建议。[方法/过程]研究采用用户实验法,设计理解型与评价型两种搜索任务,通过录屏记录交互行为,结合问卷收集协同体验数据,思维导图记录协同搜索前后知识状态及改变。采用方差分析、Kruskal Wallis检验等方法进行数据分析。[结果/结论]研究发现:在搜索交互行为方面,包含先验知识水平较高者的小组使用检索式数量多于同质低水平的小组;在协同搜索体验方面,先验知识水平相近的小组对自身任务完成度的评价更高;在知识状态改变方面,同质低水平组知识广度的增长显著多于其他两组,但在质量方面,搜索后各组别之间的差异较小。最后本研究对于搜索系统如何提高用户协同搜索体验和学习效果提出改进建议。[Purpose/Significance]This study explores the differences in search interaction behaviors,collaborative experience and learning effect among groups with different levels of prior knowledge differences,so as to enrich the cognition of collaborative information search behaviors and provide suggestions for collaborative search learning in real situations.[Method/Process]The user experiment method was adopted to design two search tasks of comprehension and evaluation.Interactive behaviors were recorded by screen recording,the collaborative experience data was collected by combining questionnaires,and state and changes of knowledge before and after collaborative search were recorded by mind mapping.Statistical test methods such as variance analysis were used to analyze the effect of the data.[Result/Conclusion]The research finds:In terms of search interaction behaviors,the groups with higher prior knowledge level used more search terms than the groups with lower prior knowledge level;In terms of collaborative search experience,groups with similar prior knowledge level have higher evaluation on their own task completion;In terms of knowledge status changes,the knowledge breadth of the homogenous low level groups increase sig-nificantly more than that of the other two groups,but in terms of quality,there is little difference between the groups after search.In the end,this study puts forward some suggestions on how to improve users*collaborative search experience and learning effect about the search system.
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