Evidence map›Paper›PMID 41341722›Full record

ArticleFrontiers in psychology2025

My digital mentor: a mixed-methods study of user-GAI interactions.

Lei Xian, Guangqiu Cao, Na Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. 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. 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

3 authors.

Lei XianSchool of Management, Xiamen University, Xiamen, China.
Guangqiu CaoSchool of Management, Xiamen University Tan Kah Kee College, Zhangzhou, China.
Na ZhangSchool of Management, Xiamen University Tan Kah Kee College, Zhangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Generative Artificial Intelligence (GAI) has emerged as a powerful tool in online learning, offering dynamic, high-quality, and user-friendly content. While previous studies have primarily focused on GAI's short-term impacts, such as users' acceptance and initial adoption, a notable gap exists in understanding long-term usage (i.e., infusion use) and the psychological mechanisms. Method and results: This study employs a two-stage mixed-methods approach to investigate users' infusion use of GAI in online learning scenarios. A semi-structured interview ( Discussion: Our findings contribute to expanding the literature on the application of the theoretical literature on technology adoption in online learning contexts and provide practical implications for developing effective user-GAI interaction.

Indexed as

configurationsgenerative artificial intelligence (GAI)infusion usemixed-methodonline learning

Identifiers

PMID41341722
PMCPMC12669189

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.