ChatGPT adoption and anxiety: a cross-country analysis utilising the unified theory of acceptance and use of technology (UTAUT)

被引：54
作者：
Budhathoki, Tribikram [1 ,5 ]
Zirar, Araz [2 ]
Njoya, Eric Tchouamou [3 ]
Timsina, Achyut [4 ]
机构：
[1] Univ Huddersfield, Huddersfield Business Sch, Dept Management, Huddersfield, England
[2] Univ Huddersfield, Huddersfield Business Sch, Dept Management, Huddersfield, England
[3] Univ Huddersfield, Huddersfield Business Sch, Dept Accounting Finance Logist & Econ, Huddersfield, England
[4] Softwar Coll IT & Ecommerce, Acad Operat, Kathmandu, Nepal
[5] Univ Huddersfield, Huddersfield Business Sch, Huddersfield HD1 3DH, England
来源：
STUDIES IN HIGHER EDUCATION | 2024年 / 49卷 / 05期
关键词：
ChatGPT; UTAUT; higher education; structural equation modelling (SEM); anxiety; E-LEARNING SYSTEMS; INFORMATION-TECHNOLOGY; HIGHER-EDUCATION; STUDENTS; KNOWLEDGE; MODELS;
D O I：
10.1080/03075079.2024.2333937
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with an additional construct- anxiety, to investigate university students' adoption intention of ChatGPT in two higher education contexts- the UK and Nepal. 239 and 226 questionnaires were deemed sufficient for data analysis for Nepal and the UK, respectively. We utilised the structural equation modelling technique to test the hypotheses. Our results reveal that performance expectancy, effort expectancy and social influence significantly impacted the adoption intention of ChatGPT for both countries. However, anxiety's impact varied between Nepal and the UK. Integrating UTAUT with a cross-country comparative approach provides insights into how ChatGPT's reception diverges between different higher education contexts. Our results also have implications for technology companies aiming to expand language models' availability worldwide.
引用
收藏
页码：831 / 846
页数：16
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