Implementation of Artificial Intelligence (AI) Technology in Students’ Academic and Non-Academic Activities in Higher Education: A Wright Map Analysis

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Yudha M Saputra, Enjang Yusup Ali, Rahmat Fadhli

Abstract

The aim of this study was to analyze the implementation of artificial intelligence (AI) technology in assisting student activities in higher education, both academically and non-academical. Mixed-method is used as a research method by combining quantitative data and qualitative data using a convergent mixed-method design. The subjects in this study were 138 students (29 male and 109 female) at UPI Regional Campus Sumedang. The instrument used is a questionnaire consisting of 14 questions distributed via Google Form. Quantitative analysis includes percentages, while qualitative analysis uses the Rasch model, namely Wright Map analysis, and also from questionnaire analysis. The results are described based on the five main analyzes of AI implementation in accordance with the answers of UPI Sumedang Campus students. In general, AI technology has been used effectively for student academic and non-academic activities. There are several obstacles, one of the biggest is the internet connection or network. There are several reasons and student expectations regarding the AI technology used. It can be concluded that AI technology has been implemented for academic and non-academic activities of higher education students. In the future, students hope that existing AI technology can be further optimized.

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How to Cite
Yudha M Saputra, Enjang Yusup Ali, Rahmat Fadhli. (2023). Implementation of Artificial Intelligence (AI) Technology in Students’ Academic and Non-Academic Activities in Higher Education: A Wright Map Analysis. Journal for ReAttach Therapy and Developmental Diversities, 6(10s), 1183–1193. Retrieved from https://jrtdd.com/index.php/journal/article/view/1993
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