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Framework of computer-based scaffolding design characteristics and moderators

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 quant-synthesis), q3 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article organizes computer-based scaffolding research along several coded dimensions: context of use (problem-based, case-based, design-based, project-based, inquiry-based, modeling/visualization, problem solving), scaffolding change (none, fading, adding, fading/adding), scaffolding logic (none, performance adapted, self-selected, fixed), scaffolding scope (generic or context-specific), and scaffolding intervention type, where "conceptual scaffolding suggests things to consider when addressing the problem" while strategic, metacognitive, and motivation scaffolding boot strategies, self-evaluation, and motivational variables respectively. This framework guided coding of all 333 outcomes and the meta-analysis's moderator questions.

Accounts

  • Framework of computer-based scaffolding design characteristics and moderators: The article organizes computer-based scaffolding research along several coded dimensions: context of use (problem-based, case-based, design-based, project-based, inquiry-based, modeling/visualization, problem solving), scaffolding change (none, fading, adding, fading/adding), scaffolding logic (none, performance adapted, self-selected, fixed), scaffolding scope (generic or context-specific), and scaffolding intervention type, where "conceptual scaffolding suggests things to consider when addressing the problem" while strategic, metacognitive, and motivation scaffolding boot strategies, self-evaluation, and motivational variables respectively. This framework guided coding of all 333 outcomes and the meta-analysis's moderator questions. (Belland et al. (2017))
  • Five characteristics of metacognitive prompt interventions: The article organises interventions for scaffolding metacognition around five characteristics: embedding (embedded vs non-embedded), specificity (task-specific vs generic), customisation (hard/generalised vs soft/personalised scaffolds), directness (direct instruction vs indirect guidance), and broadness (comprehensive vs narrow subset of metacognitive activities). The article reviews evidence for each: embedded prompts are more effective than non-embedded; specific prompts have a significantly larger impact than generic ones; personalised scaffolds are more effective for self-regulated skills; directness should be adapted to expertise level; and comprehensive support systems are needed for students with limited prior knowledge. (Sijmkens et al. (2024))
  • Taxonomy of computer-based scaffolding types: conceptual, strategic, metacognitive, and motivational: The article presents a four-part taxonomy of computer-based scaffolding functions: scaffolding is often designed to (a) help students with what to consider when addressing a problem (conceptual scaffolding), (b) bootstrap a strategy for addressing a problem (strategic scaffolding), (c) invite students to question their own understanding (metacognitive scaffolding), and (d) enhance interest, autonomy, self-efficacy, and other motivational variables (motivational scaffolding). Specific embedded strategies include highlighting critical problem features, modeling expert processes and demonstration, and motivational support such as recruitment, direction maintenance, and controlling frustration. This taxonomy organizes the scaffolding interventions synthesized in the meta-analysis. (Belland Brian R. et al. (2017))

Claims

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Key Sources

  • Belland, B. R., Walker, A. E., Kim, N. J., & Lefler, M. (2017). Synthesizing Results From Empirical Research on Computer-Based Scaffolding in STEM Education: A Meta-Analysis. Review of Educational Research, 87(2), 309-344. https://doi.org/10.3102/0034654316670999
  • Sijmkens, E., De Cock, M., & De Laet, T. (2023). Scaffolding Students' Use of Metacognitive Activities Using Discipline- and Topic-Specific Reflective Prompts. Metacognition and Learning, 18(3), 811–843. https://doi.org/10.1007/s11409-023-09363-w
  • Belland Brian R., Walker Andrew E., Kim Nam Ju. (2017). A Bayesian Network Meta-Analysis to Synthesize the Influence of Contexts of Scaffolding Use on Cognitive Outcomes in STEM Education. Review of Educational Research. https://doi.org/10.3102/0034654317723009
Page metadata
Field Value
type research-method
id framework-of-computer-based-scaffolding-design-characteristics-and-moderators
title Framework of computer-based scaffolding design characteristics and moderators
description The article organizes computer-based scaffolding research along several coded dimensions: context of use (problem-based, case-based, design-based, project-based, inquiry-based, modeling/visualization, problem solving), scaffolding change (none, fading, adding, fading/adding), scaffolding logic (none
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