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Document Type

Abstract

Publication Date

1-14-2026

Abstract

This study examined the impact of artificial intelligence (AI) integrated sport blended learning (SBL) compared to traditional face-to-face sport learning (TFSL) on primary school students' sport skills and attitudes. AI-integrated SBL provides a personalized learning experience that has been shown to be effective in enhancing sports performance and students' engagement in physical education (PE). The purpose of this study was to examine how the use of AI-integrated SBL can improve students' sport skills and foster a more positive attitude toward learning sports. Two AI tools were used in the study, namely the Exercise Load Detection System (ELMS) and the Daily Jump Rope App (DJR). The study used the SBL method, where sport skills were analyzed and compared with data collected from students in Vital capacity, 50-meter run, Sit-up-and-bend, and 1-minute Jump rope through pre-and post-test data. The sports learning attitude scale used in this study was composed of four aspects: (1) students' sports attitude, (2) sports learning purpose, (3) sports learning time, and (4) sports learning evaluation. The AI-integrated SBL instructional model outperformed the TFSL instructional model, and students made significant progress in both sport skills and attitudes toward sport learning. Independent samples t-tests were used to compare the two groups' sport skills scores, and the difference in means between the two groups was significant (Sig value < 0.01) in all four tests of Vital capacity (x̄ = -1545), 50-meter run (x̄ = 9.26), Sit-up-and-bend (x̄ = 13.37), and 1-minute Jump rope (x̄ = 141). In the descriptive statistics of students used for the analysis of sport attitudes, M = 4.27 for the sport learning time (SLT) group, M = 4.19 for the sport attitude (SA) group, M = 4.18 for the sport learning evaluation (SLE) group, and M= 4.11 for the sport learning objective (SLO) group, which showed that the consistency of the attitudes of students towards PE learning was high among all the groups, and all of them held a more positive evaluation towards SBL, which held more positive evaluations. The AI-integrated SBL model achieved better results in terms of sport performance and sport attitude compared to TFSL. The significance of this study emphasizes that AI-integrated SBL can make a difference in the way students learn sports and provides a reference point for other scholars' future research.

DOI

https://doi.org/10.18122/ijpah.5.1.189.boisestate

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