Evidence map›Paper›PMID 41329654›Full record

ArticlePloS one2025

Development of basic-needs experience and finance-related attitude through game-based learning: The role of game mechanics and debriefing.

Liane Platz, Michael Juettler

Abstract read
In one paragraph

Article in PloS one, 2025. 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

2 authors.

Liane PlatzLaboratory Dr. Liane Platz, Department of Economics, University of Konstanz, Konstanz, Germany.ORCID https://orcid.org/0000-0002-1647-7474
Michael JuettlerCenter for Innovative Teaching and Learning, School of Management and Law, Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Game-based learning (GBL) supports the development of domain-specific competencies, especially knowledge, more effectively than traditional learning methods. However, it is still unclear which elements of GBL positively impact learning outcomes such as motivation and attitudes. This study involved 293 upper-secondary students in a quasi-experiment using a 2 × 2 control group design with five measurement points to test the effects of game mechanics and reflection prompts. This approach aimed to assess their effects on the basic needs experience and attitude towards financial planning among upper-secondary school students. We applied a multivariate analysis of variance and a moderated mediation path model to address two questions: (a) whether game experiences differ depending on core mechanics and reflection prompt design, and (b) whether game mechanics influence changes in finance-related attitude through basic needs experience, moderated by reflection prompts. The findings demonstrate that games offering a higher degree of strategic decision-making options and direct reflection prompts positively impact students' basic needs experience with a moderate effect size. However, the path model did not reveal a group-specific influence on finance-related attitude. Therefore, this study provides initial results from an experimental approach to identifying the influence of different game mechanics and reflection prompts, offering valuable empirical insights into the implementation of GBL in educational settings across domains.

Indexed as

AttitudeLearningAdolescentDecision MakingFemaleGames, ExperimentalHumansMaleMotivationStudents

Identifiers

PMID41329654
PMCPMC12671799

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.