Use of ChatGPT in academia: Academic integrity hangs in the balance

被引:129
作者
Bin-Nashwan, Saeed Awadh [1 ,4 ]
Sadallah, Mouad [2 ]
Bouteraa, Mohamed [3 ]
机构
[1] Curtin Univ, Fac Business, Dept Accounting Finance & Econ, Miri, Malaysia
[2] Univ Utara Malaysia, Tunku Puteri Intan Safinaz Sch Accountancy, Sintok, Malaysia
[3] Univ Malaysia Sabah, Fac Business Econ & Accountancy, Kota Kinabalu, Malaysia
[4] Curtin Univ, Fac Business, Dept Accounting Finance & Econ, Miri 98009, Malaysia
关键词
Artificial intelligence; ChatGPT; Academia; Academic integrity; Plagiarism; Technology adoption; WORD-OF-MOUTH; ADOPTION; ONLINE; MEDIA;
D O I
10.1016/j.techsoc.2023.102370
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
In today's academic world, some academicians, researchers and students have begun employing Artificial In-telligence (AI) language models, e.g., ChatGPT, in completing a variety of academic tasks, including generating ideas, summarising literature, and essay writing. However, the use of ChatGPT in academic settings is a controversial issue, leading to a severe concern about academic integrity and AI-assisted cheating, while scholarly communities still lack clear principles on using such innovation in academia. Accordingly, this study aims to understand the motivations driving academics and researchers to use ChatGPT in their work, and spe-cifically the role of academic integrity in making up adoption behavior. Based on 702 responses retrieved from users of ResearchGate and Academia.edu, we found that ChatGPT usage is positively shaped by time-saving feature, e-word of mouth, academic self-efficacy, academic self-esteem, and perceived stress. In contrast, peer influence and academic integrity had a negative effect on usage. Intriguingly, academic integrity-moderated interactions of time-saving, self-esteem and perceived stress on ChatGPT usage are found to be significantly positive. Therefore, we suggest that stakeholders, including academic institutions, publishers and AI language models' programmers, should work together to specify necessary guidelines for the ethical use of AI chatbots in academic work and research.
引用
收藏
页数:11
相关论文
共 102 条
[1]   The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis [J].
Abbasi, Ghazanfar Ali ;
Tiew, Lee Yin ;
Tang, Jinquan ;
Goh, Yen-Nee ;
Thurasamy, Ramayah ;
Dragan, Dejan .
PLOS ONE, 2021, 16 (03)
[2]   Effectiveness and Safety of Using Chatbots to Improve Mental Health: Systematic Review and Meta-Analysis [J].
Abd-Alrazaq, Alaa Ali ;
Rababeh, Asma ;
Alajlani, Mohannad ;
Bewick, Bridgette M. ;
Househ, Mowafa .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (07)
[3]  
Academia.edu, 2021, US
[4]  
Ajzen I., 2006, Constructing a TPB questionnaire: conceptual and methodological considerations Internet
[5]   Understanding perceptions of academics toward technology acceptance in accounting education [J].
Al-Hattami, Hamood Mohammed .
HELIYON, 2023, 9 (01)
[6]   Developing a general extended UTAUT model for M-payment adoption [J].
Al-Saedi, Karrar ;
Al-Emran, Mostafa ;
Ramayah, T. ;
Abusham, Eimad .
TECHNOLOGY IN SOCIETY, 2020, 62
[7]   The integrated social cognitive theory with the TAM model: The impact of M-learning in King Saud University art education [J].
Almogren, Abeer S. ;
Aljammaz, Norah A. .
FRONTIERS IN PSYCHOLOGY, 2022, 13
[8]   Effects of a health education intervention on knowledge and attitudes towards chronic non-communicable diseases among undergraduate students in Jordan [J].
Almomani, Maysa H. ;
Rababa, Mohammad ;
Alzoubi, Fatmeh ;
Alnuaimi, Karimeh ;
Alnatour, Ahlam ;
Ali, Reem A. .
NURSING OPEN, 2021, 8 (01) :333-342
[9]  
Alser Muath, 2023, Am J Med Open, V9, P100036, DOI 10.1016/j.ajmo.2023.100036
[10]   HUMAN AGENCY IN SOCIAL COGNITIVE THEORY [J].
BANDURA, A .
AMERICAN PSYCHOLOGIST, 1989, 44 (09) :1175-1184