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In total, 83 undergraduate students, mainly sophomores, who were all novice users of the academic database China National Knowledge Infrastructure (CNKI), participated in the experimental study. Their mental models were measured from the diagrams or pictures and corresponding interpretations they produced to articulate their perceptions of CNKI at five time points. A bottom-up encoding approach and content analysis were used to analyse the research data. The results demonstrated that novice users\u2019 mental models of the academic database can be classified as either system-oriented or user-oriented perspectives. Six categories were identified in the system-oriented perspective, and three were identified in the user-oriented perspective. It was also found that the evolution of users\u2019 mental models can be facilitated by retrieval tasks, and it is noteworthy that task type can influence the evolution of users\u2019 mental models. Furthermore, the evolution process of users\u2019 mental models can be seen as learning behaviour, which includes a learning session and a forgetting session.<\/jats:p>","DOI":"10.1177\/0165551519828621","type":"journal-article","created":{"date-parts":[[2019,2,21]],"date-time":"2019-02-21T06:01:21Z","timestamp":1550728881000},"page":"205-225","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Examining the classification and evolution of novice users\u2019 mental models of an academic database in the search task completion process"],"prefix":"10.1177","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2466-2530","authenticated-orcid":false,"given":"Zhengbiao","family":"Han","sequence":"first","affiliation":[{"name":"Research Center for Correlation of Domain Knowledge, College of Information Science and Technology, Nanjing Agricultural University, 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