Evidence map›Paper›PMID 42898408›Full record

ArticleFrontiers in psychology2026

Beyond single scaffolding: a multidimensional scaffolding framework for flow-driven Game-Based Learning.

Huei-Tse Hou

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Huei-Tse HouGraduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meta-analytic evidence indicates Game-Based Learning (GBL) to be beneficial for enhancing learning motivation and promoting knowledge construction, with the design and provision of scaffolding within games playing a critical role in enhancing learning outcomes. How to simultaneously foster learners' flow and learning remains a significant challenge in GBL scaffolding design; insufficient or inappropriate scaffolding may negatively impact both the gaming experience and learning outcomes. Recent meta-analyses have found that GBL has a moderate-to-large effect on cognitive outcomes, but the effect sizes show high heterogeneity. Furthermore, no significant improvement was observed in metacognitive outcomes. This imbalance may stem from the limitations of GBL research approaches that focus primarily on a single type of scaffolding. As GBL is a highly interactive and complex learning process, research on multidimensional scaffolding mechanisms has garnered increasing attention in recent years for its potential to enhance GBL effectiveness; however, there is currently a lack of systematic theoretical foundations and design guidelines. This study is a perspective article. Based on recent empirical research on GBL scaffolding, this study proposes a theoretical framework for Multidimensional Scaffolding in Game-Based Learning (MDS-GBL) in accordance with the characteristics of multidimensional forms of Flow Theory and the Zone of Proximal Development (ZPD) and presents a practical framework for scaffolding design and assessment. This study also draws on the results of recent empirical research on multidimensional scaffolding to support the proposed theoretical framework and presents three design principles for multidimensional scaffolding to serve as a reference for researchers and designers.

Indexed as

flowGame-Based Learninglearning performancescaffoldingZone of Proximal Development

Identifiers

PMID42898408
PMCPMC13677935

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.