Evidence map›Paper›PMID 41215639›Full record

ArticleBritish journal of psychology (London, England : 1953)2026

Demystifying the mist: Why do individuals hesitate to accept AI educational services?

Aiping Shao, Zhi Lu, Stephanie Q Liu, Yin Shi, Wei Lu

Abstract read
In one paragraph

Article in British journal of psychology (London, England : 1953), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Demystifying the mist: Why do individuals hesitate to accept AI educational services?British journal of psychology (London, England : 1953) · 2026
    Article
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

5 authors.

Aiping ShaoSchool of Educational Science, Beihua University, Jilin City, Jilin Province, China.
Zhi LuSchool of Education & Human Development, Texas A&M University, College Station, Texas, USA.ORCID https://orcid.org/0009-0009-4447-5490
Stephanie Q LiuCollege of Education and Human Ecology, The Ohio State University, Columbus, Ohio, USA.
Yin ShiFaculty of Education, Beijing Normal University, Beijing, China.
Wei LuAntai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China.

Funding

National Natural Science Foundation of ChinaSocial Sciences and Humanities Research Council of Canada
6 · The paper itself

Abstract

Rapid advances in AI technology are fuelling the proliferation of AI applications across industries, including educational services. With the allure of intelligent tutoring, individuals now face the choice of their educational approach-either parental engagement or utilizing AI educational services. This research employs an experimental design approach to examine individuals' decision-making processes involving AI educational services. Across five studies, we observe that, relative to AI educational services, parental engagement induces less guilt, receives a higher valuation and increases individuals' willingness to recommend it to others. We attribute these preferences to a perceived parental responsibility. Intrinsic attribution and conformity promote individuals' WOM. This research is the first to uncover the impact of educational approaches on individuals' guilt and downstream behaviours in the AI-in-Education field, shedding light on attribution as its underlying mechanism and offering actionable strategies to enhance individuals' WOM. The findings offer novel insights to AI-human interaction psychological research and hold practical implications for AI-in-Education industry practitioners.

Indexed as

Artificial IntelligenceDecision MakingGuiltAdultFemaleHumansMaleYoung AdultAI educational servicesattributionconformityguiltvaluationword‐of‐mouth

Identifiers

PMID41215639
PMCPMC13353247

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.