Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts

被引:2
|
作者
Papakonstantinidis, Stavros [1 ]
Kwiatek, Piotr [2 ]
Spathopoulou, Filomachi [3 ]
机构
[1] Cent Coll, Pella, IA 50219 USA
[2] Univ Appl Sci Upper Austria, Steyr, Austria
[3] Amer Univ Middle East, Egaila, Kuwait
关键词
artificial intelligence; chatbots; ChatGPT; education; educational technologies; MODELING APPROACH; AI; ACCEPTANCE; VARIANCE;
D O I
10.30935/cedtech/14250
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This research investigates the perspectives of using artificial intelligence writing software (AIWS) in professional contexts, focusing on academic and non-academic writers. These two groups, while standing to gain increased productivity through the adoption of AIWS, also express concerns regarding the widespread implementation of this technology. Notably, artificial intelligence (AI) writing tech's impact on content creation has been profound, with its swift grammatically accurate content generation. This adoption, however, remains controversial. The study employs a quantitative approach, combining technology acceptance model and new computer game attitude scale. This approach allows us to discern implications of using AIpowered writing tools while accounting for possible differences in different domains of use. Through a survey of 219 participants, spanning academia and business, the study explores attitudes and willingness to use AIWS. Findings yield insights into non-academic writers' readiness and implications of AIWS adoption. Business, non-academic professionals view AIWS as a tool for efficiency and content quality, while writers in academic contexts express concerns about biases, manipulation, and job displacement. The study contributes to AIWS understanding, benefiting developers, educational institutions, and content creators, and elucidates differing attitudes and age dynamics between academics and professionals. The research underscores the multifaceted influence of AIWS, providing a foundation for future exploration in this emerging domain, as well as practical applications for industries and educational institutions.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Creating the student writer: A study of writing identities in non-academic senior English classes
    Shand, Jennifer
    Konza, Deslea
    AUSTRALIAN JOURNAL OF LANGUAGE AND LITERACY, 2016, 39 (02): : 149 - 161
  • [22] Facing the AI challenge in radiology: Lessons learned from a regional survey among Austrian radiologists in academic and non-academic settings on perceptions and expectations towards artificial intelligence
    Adelsmayr, Gabriel
    Janisch, Michael
    Pohl, Maximilian
    Fuchsjaeger, Michael
    Schoellnast, Helmut
    DIGITAL HEALTH, 2024, 10
  • [23] Artificial Intelligence Tools in Academic Article Writing: Is it a Tool or a Co-Author?
    Dere, Osman
    EUROPEAN JOURNAL OF THERAPEUTICS, 2023, 29 (04): : 992 - 993
  • [25] Artificial Intelligence in Academic Writing and Research Skills in Kenyan Universities: Opportunities and Challenges
    Obura, Elizabeth Atieno
    Emoit, Peter Imatari
    AFRICA EDUCATION REVIEW, 2025,
  • [26] The importance of transparency: Declaring the use of generative artificial intelligence (AI) in academic writing
    Tang, Arthur
    Li, Kin-Kit
    Kwok, Kin On
    Cao, Liujiao
    Luong, Stanley
    Tam, Wilson
    JOURNAL OF NURSING SCHOLARSHIP, 2024, 56 (02) : 314 - 318
  • [27] The Use of Controlled Artificial Intelligence as a Co-Author in Academic Article Writing
    Saygin, Duygu Akin
    Kabakci, Anil Didem Aydin
    EUROPEAN JOURNAL OF THERAPEUTICS, 2023, 29 (04): : 990 - 991
  • [28] The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing
    Steven Bell
    BMC Medicine, 21
  • [29] ASO Author Reflections: The Role of Artificial Intelligence Content Detectors in Academic Writing
    Flitcroft, Madelyn A.
    Wolfrath, Nathan
    Kothari, Anai N.
    ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (10) : 6405 - 6405
  • [30] Investigation into Common Errors in English Writing among Non-Academic Staff at a Malaysian Public University
    Abdullah, Ahmad Taufik Hidayah
    Azmi, Mohd Nazri Latiff
    Hassan, Isyaku
    Atek, Engku Suhaimi Engku
    Jusoh, Zailani
    ARAB WORLD ENGLISH JOURNAL, 2021, 12 (04) : 446 - 461