Integrating Generative AI in Contemporary Research Writing: Exploring Postgraduates’ Knowledge and Willingness to Use GenAI in the Upper East Region of Ghana DOI Creative Commons
Enoch Kabinaa Suglo,

Abubakari Mejira,

Norbert Bayor

и другие.

American Journal of Technology, Год журнала: 2024, Номер 3(1), С. 33 - 51

Опубликована: Дек. 14, 2024

Aim: In the 21st century era where academic research boundaries are increasingly blurred by technological innovations, it is critical to understand postgraduate students' willingness embrace Generative AI as a ally reshape their scholarly work and lift writing experience newer heights. This study assessed knowledge use (GenAI) tool. Methods: was quantitative cross-sectional survey design employed collect primary data from sample of 238 selected an accessible population 588. The members were considered using convenient sampling method. Data collected through structured closed-ended questionnaire instruments which self-designed piloted. questionnaires' Cronbach's reliability coefficient 0. 913: value reflects good internal consistency, well serves show robustness instrument measure objectives this study. used period 3 weeks collect, clean, analyze descriptive statistics simple linear regression analysis (SPSS 20.0). Results: showed that postgraduates have moderate high level (M 3.189 - 3.706) GenAI 2.966 3.349). A significantly predicted for purposes, (r² =. 023, B = 0.12, p 0.021). Recommendation: Educational institutions should implement targeted training programs on tools enhance students’ competency confidence in these research.

Язык: Английский

Integrating Generative AI in Contemporary Research Writing: Exploring Postgraduates’ Knowledge and Willingness to Use GenAI in the Upper East Region of Ghana DOI Creative Commons
Enoch Kabinaa Suglo,

Abubakari Mejira,

Norbert Bayor

и другие.

American Journal of Technology, Год журнала: 2024, Номер 3(1), С. 33 - 51

Опубликована: Дек. 14, 2024

Aim: In the 21st century era where academic research boundaries are increasingly blurred by technological innovations, it is critical to understand postgraduate students' willingness embrace Generative AI as a ally reshape their scholarly work and lift writing experience newer heights. This study assessed knowledge use (GenAI) tool. Methods: was quantitative cross-sectional survey design employed collect primary data from sample of 238 selected an accessible population 588. The members were considered using convenient sampling method. Data collected through structured closed-ended questionnaire instruments which self-designed piloted. questionnaires' Cronbach's reliability coefficient 0. 913: value reflects good internal consistency, well serves show robustness instrument measure objectives this study. used period 3 weeks collect, clean, analyze descriptive statistics simple linear regression analysis (SPSS 20.0). Results: showed that postgraduates have moderate high level (M 3.189 - 3.706) GenAI 2.966 3.349). A significantly predicted for purposes, (r² =. 023, B = 0.12, p 0.021). Recommendation: Educational institutions should implement targeted training programs on tools enhance students’ competency confidence in these research.

Язык: Английский

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