College students' credibility assessments of GenAI‐generated information for academic tasks: An interview study.
The study explored college students' use of generative artificial intelligence (GenAI) tools, such as ChatGPT, for academic tasks and their perceptions and behaviors in assessing the credibility of GenAI‐generated information. Semistructured interviews were conducted with 25 college students in the...
| Publicado en: | Journal of the Association for Information Science & Technology Vol. 76; no. 6; pp. 867 - 884 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184927683&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184927683 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23301635 H6JN jtl: Journal of the Association for Information Science & Technology issn: 23301635 maglogo: N pubinfo: dt: Jun2025 vid: 76 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 184927683 181883624 184927683 184927683 10.1002/asi.24978 184927683 ppf: 867 ppct: 17 formats: tig: atl: College students' credibility assessments of GenAI‐generated information for academic tasks: An interview study. aug: au: Choi, Wonchan Bak, Hyerin An, Jiaxin Zhang, Yan Stvilia, Besiki affil: School of Information Studies, University of Wisconsin‐Milwaukee, Milwaukee Wisconsin,, USA sug: subj: Students, College Artificial Intelligence, Generative Student Attitudes Academic Performance Task Performance and Analysis Human Semi-Structured Interview Qualitative Studies Content Analysis Motivation Data Analysis Software Young Adult Adult Funding Source Adult: 19-44 years ab: The study explored college students' use of generative artificial intelligence (GenAI) tools, such as ChatGPT, for academic tasks and their perceptions and behaviors in assessing the credibility of GenAI‐generated information. Semistructured interviews were conducted with 25 college students in the United States. Interview transcripts were analyzed using the qualitative content analysis method. The study identified various types of academic tasks for which students used ChatGPT, including writing, programming, and learning. Guided by two models of credibility assessment Hilligoss and Rieh (2008); Metzger (2007), six factors influencing students' motivation and ability to assess the credibility of GenAI‐generated information were identified (e.g., task salience, social pressure). We also identified 9 constructs (e.g., refinedness, explainability), 5 heuristics (e.g., inter‐ and intrasystem consistency heuristics), and 10 cues (e.g., version and tone) used by students to assess the credibility of GenAI‐generated information. This study provides theoretical and empirical findings regarding students' use of GenAI tools in the academic context and credibility evaluation of the system outputs using rich, qualitative interview data. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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