Process-mining enabled feedback: “Tell me what I did wrong” vs. “tell me how to do it right”.
Fast advancement of technology has led to an increased interest for using information technology to provide feedback based on learning behavior observations. This work outlines a novel approach for analyzing behavioral learner data through the application of process mining techniques specifically ta...
| Publicado en: | Computers in Human Behavior Vol. 57; pp. 352 - 377 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Apr2016
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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=112706375&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 112706375 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: Apr2016 vid: 57 pid: 2410 pub: Elsevier B.V. artinfo: ui: 112706375 10.1016/j.chb.2015.12.040 ppf: 352 ppct: 25 formats: tig: atl: Process-mining enabled feedback: “Tell me what I did wrong” vs. “tell me how to do it right”. aug: au: Sedrakyan, Gayane De Weerdt, Jochen Snoeck, Monique affil: K.U.Leuven, Faculty of Business and Economics, Department of Decision Sciences and Information Management, Research Center for Management Informatics (LIRIS), Naamsestraat 69, B-3000, Leuven, Belgium su: Information technology Problem solving School environment Virtual reality Data mining sug: subj: Information technology Problem solving School environment Virtual reality Data mining keyword: Conceptual modeling Domain modeling Information systems education Learning analytics Modeling patterns Process mining Process-oriented feedback Teaching/learning modeling Conceptual modeling Domain modeling Information systems education Learning analytics Modeling patterns Process mining Process-oriented feedback Teaching/learning modeling ab: Fast advancement of technology has led to an increased interest for using information technology to provide feedback based on learning behavior observations. This work outlines a novel approach for analyzing behavioral learner data through the application of process mining techniques specifically targeting a complex problem solving process . We realize this in the context of one particular learning case, namely, domain modeling. This work extends our previous research on process-mining analysis of domain modeling behavior of novices by elaborating with new insights from a replication study enhanced with an extra observation on how novices verify/validate models. The findings include a set of typical modeling and validation patterns that can be used to improve teaching guidance for domain modeling courses. From a scientific viewpoint, the results contribute to improving our knowledge on the cognitive aspects of problem-solving behavior of novices in the area of domain modeling, specifically regarding process-oriented feedback as opposed to traditional outcome feedback (is a solution correct? Why (not)?) usually applied in this type of courses. Ultimately, the outcomes of the work can be inspirational outside of the area of domain modeling as learning event data is becoming readily available through virtual learning environments and other information systems. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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