Using process mining to analyze students' quiz-taking behavior patterns in a learning management system.
Abstract The aim of this paper is to explore students' behavior and interaction patterns in different types of online quiz-based activities within learning management systems (LMS). Analyzing students' behavior in online learning activities and detecting specific patterns of interaction in LMS is a...
| Publicado en: | Computers in Human Behavior Vol. 92; pp. 496 - 507 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Mar2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=134185566&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 134185566 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Mar2019 vid: 92 pid: 2410 pub: Elsevier B.V. artinfo: ui: 134185566 10.1016/j.chb.2017.12.015 ppf: 496 ppct: 11 formats: tig: atl: Using process mining to analyze students' quiz-taking behavior patterns in a learning management system. aug: au: Juhaňák, Libor Zounek, Jiří Rohlíková, Lucie affil: Department of Educational Sciences, Faculty of Arts, Masaryk University, Brno, Czech Republic Department of Computer Science and Educational Technology, University of West Bohemia, Pilsen, Czech Republic su: Curriculum Internet Medical personnel School environment Student attitudes Learning strategies Research Test-taking skills Data mining Research personnel sug: subj: Curriculum Internet Medical personnel School environment Student attitudes Internet Publishing and Broadcasting and Web Search Portals Wired Telecommunications Carriers Learning strategies Research Test-taking skills Data mining Research personnel keyword: Educational data mining Learning analytics Learning management system Process mining Quiz-taking behavior Student interaction analysis Educational data mining Learning analytics Learning management system Process mining Quiz-taking behavior Student interaction analysis ab: Abstract The aim of this paper is to explore students' behavior and interaction patterns in different types of online quiz-based activities within learning management systems (LMS). Analyzing students' behavior in online learning activities and detecting specific patterns of interaction in LMS is a topic of great interest for the educational data mining (EDM) and learning analytics (LA) research communities. Previous studies have focused primarily on frequency analysis without addressing the temporal aspects of students' learning behavior. Therefore, we apply a process-oriented approach, investigating perspectives on using process mining methods in the context of online learning and assessment. To explore a broad range of possible student behavior patterns, we analyze students' interactions in several online quizzes from different courses and with different settings. Using process mining methods, we identify specific types of interaction sequences that shed new light on students' quiz-taking strategies in LMS. We believe that these findings bring important implications for researchers studying student behavior in online environments as well as practitioners using online quizzes for learning and assessment. Highlights • Process-centric approach to analyze student behavior in Moodle were employed. • Students' behavior and interaction patterns in quiz-based activities were studied. • Standard and non-standard behavior were identified using process mining. • Four different behavior patterns were identified. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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