Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning.
Metacomprehension is key to successful learning of complex topics when using multimedia materials. The goal of this study was to determine if eye-movement dyads could be: (1) identified by sequence mining techniques, and (2) aligned with self-reported metacognitive judgments during learning with mul...
| Publicado en: | Computers in Human Behavior Vol. 96; pp. 223 - 235 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Jul2019
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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=136201666&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 136201666 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: Jul2019 vid: 96 pid: 2410 pub: Elsevier B.V. artinfo: ui: 136201666 10.1016/j.chb.2018.06.028 ppf: 223 ppct: 12 formats: tig: atl: Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning. aug: au: Mudrick, Nicholas V. Azevedo, Roger Taub, Michelle affil: Department of Psychology, North Carolina State University, USA Department of Learning Sciences and Educational Research, University of Central Florida, USA su: Cognition Judgment (Psychology) Self-evaluation Qualitative research Quantitative research Psychology of Undergraduates Eye movements Learning strategies Multimedia systems Data mining sug: subj: Cognition Judgment (Psychology) Self-evaluation Qualitative research Quantitative research Psychology of Undergraduates Eye movements Learning strategies Multimedia systems Data mining keyword: Differential sequence mining Metacomprehension Multimedia learning Sequential pattern mining Differential sequence mining Metacomprehension Multimedia learning Sequential pattern mining ab: Metacomprehension is key to successful learning of complex topics when using multimedia materials. The goal of this study was to determine if eye-movement dyads could be: (1) identified by sequence mining techniques, and (2) aligned with self-reported metacognitive judgments during learning with multimedia materials that contain conceptual discrepancies designed to interfere with participants' metacomprehension. Thirty-two undergraduate students' metacognitive judgments were examined with RM-MANOVAs, and sequential pattern mining and differential sequence mining were conducted on their eye movements as they learned with complex multimedia materials. Additionally, we distinguished between event - (i.e., if participants looked at specific areas of the content) and duration -based (i.e., if participants looked at areas of interest [AOIs] for a medium or long amount of time) eye-movement dyads to assess if qualitative and quantitative differences existed in their eye-movement behaviors. For content with text and graph discrepancies, results indicated participants' metacognitive judgments were lower and less accurate, and more fixation dyads were found between the text and graph. Furthermore, specific dyads of different length (i.e., long fixations on the graph to medium fixations on the text) fixations may align with lowered and inaccurate metacognitive judgments for content with text and graph discrepancies. This study begins to address how to identify behavioral indices of metacomprehension processes during multimedia learning. • Aligned metacomprehension, eye movements, and multimedia learning processes. • Eye movement sequences may represent impaired comprehension. • Inaccurate metacognitive judgments for graph-based information. • Implications for identifying behavioral indices of metacognitive monitoring. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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