Rasch Model Analysis of Artificial Intelligence Technology Implementation Among Physical Education Student

Yudha Munajat Saputra, Enjang Yusuf Ali, Ari Gana Yulianto, Mohd Salleh Aman

Abstract


The purpose of this study was to analyze of the implementation of Artificial Intelligence Technology (AIT) in higher education through Rasch Model. Research method was used mixed- method through a convergent mixed-method design. The subjects in this study were 138 understudies (29 male and 109 female) at one of higher education in Sumedang, West Java, Indonesia. The instrument utilized is a survey comprising of 14 inquiries dispersed through Google Form. Quantitative investigation incorporates rates, while qualitative examination utilizes the Rasch model, and furthermore from survey examination. The outcomes are depicted in light of the five principal dissects of artificial intelligence execution as per the responses of understudies. By and large, artificial intelligence innovation has been utilized successfully for understudy academic and non-academic activity. There are a few hindrances, one of the greatest is the web connection or network. There are a few reasons and understudy assumptions about the AIT utilized. It is possible to draw the conclusion that AIT has been utilized by students enrolled in higher education for both academic and non-academic purposes. Later on, understudies trust that current AIT can be additionally improved

Keywords


artificial intelligence technology; higher education; rasch model.

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References


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DOI: https://doi.org/10.17509/jtikor.v11i1.99556

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