Evidence map›Paper›PMID 42840171›Full record

ReviewBehavior analysis in practice2026

A Rapid Review of Training Future Behavior Analysts Through Computer-Generated Simulations: Challenges and Opportunities in Using Artificial Intelligence and Virtual Reality.

Pamela Shea, Erin Cote, Michael Carter

Abstract readReview
In one paragraph

Review in Behavior analysis in practice, 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.

Pamela SheaSt. Lawrence College, A. Briton Smith Centre for Behavioural Studies, 100 Portsmouth Ave, Kingston, ON K7L 5 A6 Canada.ORCID 0000-0002-8592-862X
Erin CoteSt. Lawrence College, A. Briton Smith Centre for Behavioural Studies, 100 Portsmouth Ave, Kingston, ON K7L 5 A6 Canada.
Michael CarterSt. Lawrence College, A. Briton Smith Centre for Behavioural Studies, 100 Portsmouth Ave, Kingston, ON K7L 5 A6 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This rapid review explores the potential of computer-generated simulations in training future behavior analysts. While competencies in behavior analysis are critical for improving client outcomes, gaps remain in the availability and fidelity of training methods within higher education. Emerging technologies, such as artificial intelligence (AI) and virtual simulations, offer innovative solutions to address these challenges. This review synthesizes literature from 2019 to 2024, examining the role of computer-generated simulations in teaching essential skills at the undergraduate and graduate levels. The findings summarize existing research, identify key variables influencing training effectiveness, and highlight implications for future educational practices. By leveraging AI and virtual reality (VR), educators may enhance experiential learning, promote culturally responsive care, and improve skill acquisition for aspiring behavior analysts. This review provides recommendations to guide future research and the ethical integration of AI technologies in behavior analytic education.

Indexed as

AI-generatedCompassionateCulturally responsiveSimulationTransdisciplinaryVR

Identifiers

PMID42840171
PMCPMC13638928

What OpenQuestion holds

Textmetadata
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.