Using Process Mining to examine the sustainability of instructional support: How stable are the effects of metacognitive prompting on self-regulatory behavior?

The current study investigates the sustainability of metacognitive prompting on self-regulatory behavior using a Process Mining approach. Previous studies confirmed beneficial short-term effects of metacognitive prompts on the learning process and on learning outcomes. However, the question of how s...

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Publicado en:Computers in Human Behavior Vol. 96; pp. 259 - 273
Autores principales: Sonnenberg, Christoph, Bannert, Maria
Formato: Artículo
Publicado: Elsevier B.V. Jul2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2019
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      pub: Elsevier B.V.
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        10.1016/j.chb.2018.06.003
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        atl: Using Process Mining to examine the sustainability of instructional support: How stable are the effects of metacognitive prompting on self-regulatory behavior?
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          Sonnenberg, Christoph
          Bannert, Maria
        affil:
          University of Wuerzburg, Instructional Media, Germany
          Technical University of Munich, Teaching and Learning with Digital Media, Germany
      su:
        Cognition
        Psychology of college students
        Internet
        Self-management (Psychology)
        Task performance
        Educational psychology
        Learning strategies
        Medical protocols
        Data mining
        Hypermedia
        Control groups
      sug:
        subj:
          Cognition
          Psychology of college students
          Internet
          Self-management (Psychology)
          Task performance
          Educational Support Services
          Internet Publishing and Broadcasting and Web Search Portals
          Wired Telecommunications Carriers
          Educational psychology
          Learning strategies
          Medical protocols
          Data mining
          Hypermedia
          Control groups
      keyword:
        Conformance Checking
        Long-term effects
        Metacognitive prompting
        Process analysis
        Process Mining
        Think-aloud protocols
        Conformance Checking
        Long-term effects
        Metacognitive prompting
        Process analysis
        Process Mining
        Think-aloud protocols
      ab: The current study investigates the sustainability of metacognitive prompting on self-regulatory behavior using a Process Mining approach. Previous studies confirmed beneficial short-term effects of metacognitive prompts on the learning process and on learning outcomes. However, the question of how stable these effects are for similar tasks in the future so far remains unanswered. Also, the use of online trace methods and the emergence of new analytical approaches allow deeper insights into the sequential structure of learning behavior. Therefore, we examined long-term effects of instructional support on sub-processes of self-regulated learning using Process Mining. Think-aloud protocols from 69 university students were measured during two hypermedia learning sessions about Educational Psychology. Metacognitive prompts supported the experimental group (n = 35) only during the first session. Based on a process model generated by using the data of the first learning task, we analysed the sustainability of effects during the second learning session. Results showed significant differences between the experimental and control group regarding the frequency of metacognitive strategies, which remain stable over time. Additionally, the application of Process Mining indicated which sequences of learning events were transferred to the second session. Our findings demonstrate the benefits of evaluating instructional support using analysis techniques that take into account the sequential structure of learning processes. While the results provide initial evidence for sustainable long-term effects on self-regulatory behavior, they have to be replicated in future research. • Investigates the sustainability of metacognitive prompting for follow-up tasks. • Microanalysis of prompting effects using think-aloud data and Process Mining. • Effects were sustainable in a future learning task without instructional support. • Process mining revealed sequences of learning activities that were transferred. • Demonstrates the benefits of evaluating instructional support on the micro level.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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