Research Article
Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts
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1 Central College, Pella, IA, USA2 University of Applied Sciences Upper Austria, Steyr, AUSTRIA3 American University of the Middle East, Egaila, KUWAIT* Corresponding Author
Contemporary Educational Technology, 16(2), April 2024, ep495, https://doi.org/10.30935/cedtech/14250
Published Online: 20 February 2024, Published: 01 April 2024
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ABSTRACT
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 AI-powered 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.
CITATION (APA)
Papakonstantinidis, S., Kwiatek, P., & Spathopoulou, F. (2024). Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts. Contemporary Educational Technology, 16(2), ep495. https://doi.org/10.30935/cedtech/14250
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