ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education

被引:19
作者
Cambra-Fierro, Jesus J. [1 ]
Blasco, Maria Fuentes [1 ]
Lopez-Perez, Maria-Eugenia Eugenia [2 ]
Trifu, Andreea [3 ]
机构
[1] Univ Pablo De Olavide, Fac Business, Ctra Utrera km 1, Seville 41013, Spain
[2] Ctr Univ San Isidoro, C Leonardo Da Vinci 17B, Seville 41092, Spain
[3] CUNEF Univ, C Almansa, 101, Madrid 28040, Spain
关键词
ChatGPT; TAM framework; Faculty well-being; Perceived usefulness; Easy-of-use; Enjoyment; Happiness; Energy; Stress; TECHNOLOGY ACCEPTANCE MODEL; INTRINSIC MOTIVATION; INFORMATION; PERFORMANCE; INTENTION; ENJOYMENT; TAM;
D O I
10.1007/s10639-024-12871-0
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and willingness to adopt these new tools remain fundamental factors in understanding their proliferation and adoption. However, it's equally important to strike a balance between reaping the benefits of technology and safeguarding the well-being of faculty members. Against this backdrop, this study assesses the impact of a series of factors on ChatGPT adoption among university faculty members, taking as reference the Technology Acceptance Model (TAM). Additionally, we analyze the impact of ChatGPT adoption on faculty well-being. All hypotheses are tested using covariance-based structural equation modeling (CB-SEM). The findings highlight the positive influence of perceived usefulness, ease of use and enjoyment on ChatGPT adoption. Moreover, ChatGPT adoption seems to boost faculty' happiness and energy, while diminishing their stress levels. Theoretical and practical implications are discussed in the last section.
引用
收藏
页码:1517 / 1538
页数:22
相关论文
共 86 条
[1]  
Adams D., 2024, IN PRESS
[2]   Developing a technology enabled learning framework supporting staff transitioning degree module content to a blended learning approach [J].
Adamson, Jackie ;
Sloan, Diane .
INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL, 2023, 60 (01) :59-69
[3]   Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage [J].
Agarwal, R ;
Karahanna, E .
MIS QUARTERLY, 2000, 24 (04) :665-694
[4]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[5]  
Al-Adwan A. S., 2023, IN PRESS
[6]   Employing the technology acceptance model in social media: A systematic review [J].
Al-Qaysi, Noor ;
Mohamad-Nordin, Norhisham ;
Al-Emran, Mostafa .
EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (06) :4961-5002
[7]   The effects of artificial intelligence applications in educational settings: Challenges and strategies [J].
Ali, Omar ;
Murray, Peter A. ;
Momin, Mujtaba ;
Dwivedi, Yogesh K. ;
Malik, Tegwen .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 199
[8]   STRUCTURAL EQUATION MODELING IN PRACTICE - A REVIEW AND RECOMMENDED 2-STEP APPROACH [J].
ANDERSON, JC ;
GERBING, DW .
PSYCHOLOGICAL BULLETIN, 1988, 103 (03) :411-423
[9]  
Ansari A. N., 2024, IN PRESS
[10]   Can teachers' digital competence influence technology acceptance in vocational education? [J].
Antonietti, Chiara ;
Cattaneo, Alberto ;
Amenduni, Francesca .
COMPUTERS IN HUMAN BEHAVIOR, 2022, 132