Evidence map›Paper›PMID 42073960›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

When Anger Strikes: Using AI Modelling to Understand How Negative Emotions Impact Performance in Digital Math Games.

Ana Zdravkovic Barber, Steve Engels, Earl Woodruff

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

3 authors.

Ana Zdravkovic BarberDepartment of Applied Psychology and Human Development (APHD), The Ontario Institute for Studies in Education (OISE), The University of Toronto, Toronto (UofT), Toronto, ON M5S 1V6, Canada.ORCID 0000-0001-9093-6256
Steve EngelsDepartment of Computer Science, The University of Toronto (UofT), Toronto, ON M5S 1A1, Canada.ORCID 0009-0009-3607-7097
Earl WoodruffDepartment of Applied Psychology and Human Development (APHD), The Ontario Institute for Studies in Education (OISE), The University of Toronto, Toronto (UofT), Toronto, ON M5S 1V6, Canada.ORCID 0000-0002-0958-8379

Funding

Social Sciences and Humanities Research Council 752-2022-2284
6 · The paper itself

Abstract

Digital game-based learning environments (DGBLEs) are increasingly integrated into classrooms as learning tools, yet limited research exists regarding the impact of students' discrete emotions on digital gameplay performance. This study examined the role of emotions and arousal in predicting performance outcomes during digital gameplay. Thirty-two grade 5 students (

Indexed as

affective dynamicsAI emotion recognitionAI ModellingDigital Game-Based Learning Environment (DGBLE)mathematics education

Identifiers

PMID42073960
PMCPMC13114013

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.