Scaffolding student teachers' information‐seeking behaviours with a network‐based tutoring system.

Student teachers' instructional planning requires them to regulate certain aspects of their own learning while designing lessons. The aim of this study is to support student teachers' self‐regulated learning through the convergence effect, where network‐based tutors are designed to optimize system r...

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Published in:Journal of Computer Assisted Learning Vol. 35; no. 6; pp. 731 - 747
Main Authors: Poitras, Eric, Mayne, Zachary, Huang, Lingyun, Udy, Laurel, Lajoie, Susanne
Format: pictorial research tables/charts randomized controlled trial Journal Article
Published: Wiley-Blackwell Dec2019
Online Access:View this record in EBSCOhost
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      dt: Dec2019
      vid: 35
      iid: 6
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        139686746
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        139686746
        10.1111/jcal.12380
        139686746
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        atl: Scaffolding student teachers' information‐seeking behaviours with a network‐based tutoring system.
      aug:
        au:
          Poitras, Eric
          Mayne, Zachary
          Huang, Lingyun
          Udy, Laurel
          Lajoie, Susanne
        affil: Department of Educational Psychology, University of Utah, Salt Lake City Utah
      sug:
        subj:
          Student Attitudes
          Teachers Psychosocial Factors
          Information Seeking Behavior
          Teaching Methods
          Self-Directed Learning
          Human
          Random Assignment
          Structural Equation Modeling
          Curriculum Development
          United States
          Experimental Studies
          User-Computer Interface
          Questionnaires
          Skill Acquisition
          Randomized Controlled Trials
          Outcomes of Education
      ab: Student teachers' instructional planning requires them to regulate certain aspects of their own learning while designing lessons. The aim of this study is to support student teachers' self‐regulated learning through the convergence effect, where network‐based tutors are designed to optimize system recommendations of online resources based on information‐seeking behaviours. A total of 68 student teachers were randomly assigned to either a dynamic or static version of nBrowser, which converged a network or not towards an optimal configuration. The structural equation model suggests that student teachers spent less time during the learning session using the dynamic version of nBrowser. Although student teachers were found to be more efficient in seeking and acquiring information and reported knowledge gains, they failed to perform better than those assigned to the static condition on the lesson plan design task. We discuss the implications for the convergence effect in the context of network‐based tutors. Lay Description: What is already known about this topic: Preservice teachers require resources to plan classroom activities, for example, open educational resources available on the web.Preservice teachers may lack the prerequisite skills to regulate their own learning, in particular, to seek and acquire information from online resources in an efficient manner.Computer‐based learning environments can be designed to support self‐regulated learning while navigating hypermedia. What this paper adds: Intelligent web browsers can leverage the linguistic features and information‐seeking behaviours of preservice teachers to personalize recommendations of online resources.Recommender systems stands to improve the efficiency of teachers' self‐regulated learning, in particular, their efforts to seek and acquire online resources. Implications for practice and/or policy: Efforts should be made to make artificial intelligence tools in education broadly available to teachers, including lesson planning tools that leverage open educational resources.Tools that support teachers in seeking and acquiring information may benefit their professional development by enabling them to allocate more attentional resources to other aspects of teaching.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        randomized controlled trial
        Journal Article
      ougenre: Article
    language: English
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