Evidence map›Paper›PMID 39335970›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Tool, Threat, Tutor, Talk, and Trend: College Students' Attitudes toward ChatGPT.

Sen-Chi Yu, Yueh-Min Huang, Ting-Ting Wu

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. 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.

Sen-Chi YuDepartment of Counseling and Applied Psychology, National Taichung University of Education, Taichung 403, Taiwan.ORCID 0000-0003-4609-1019
Yueh-Min HuangDepartment of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0001-7052-1272
Ting-Ting WuGraduate School of Technological and Vocational Education, National Yunlin University of Science and Technology, Yunlin 640, Taiwan.ORCID 0000-0003-4970-7042

Funding

National Science and Technology Council NSTC 110-2511-H-006-012-MY3National Science and Technology Council NSTC110-2511-H-142 -010 -MY3
6 · The paper itself

Abstract

The purposes of this study are to investigate college students' attitudes toward ChatGPT and to understand whether gender makes any difference in their attitudes. We developed the ChatGPT attitude scale (CAS) and administrated it to a sample of 516 Taiwan college students. Through an exploratory factor analysis, the 5-T (Tool, Tutor, Talk, Trend, and Threat) model of CAS was extracted and validated via confirmatory factor analysis. The CAS exhibited good reliability and validity and can be used to explain ChatGPT attitudes. According to our findings, university students consider ChatGPT an important "Tool" in their daily life. Additionally, ChatGPT plays a significant "Tutor" role, assisting with language translation and knowledge learning. Besides its utilitarian functions, ChatGPT also serves as a "Talk" feature, offering interactive chat and emotional support. Currently, students also acknowledge ChatGPT as an important "Trend" of the times, but they are also deeply concerned about the potential "Threat" of content falsification and job displacement brought on by ChatGPT. In terms of gender differences, compared to females, males scored higher than females in the total scale and in the Tool, Tutor, and Trend subscales. However, there was no significant difference between males and females in the Talk and Threat subscales. This gender difference result differs from previous research on robots or social media.

Indexed as

artificial intelligenceattitudechatbotChatGPTgender differences

Identifiers

PMID39335970
PMCPMC11429010

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.