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All Journal Jurnal Inovasi dan Teknologi Pembelajaran
Rusman Zaenal Abidin
Universitas Sultan Ageng Tirtayasa

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AI-assisted problem-based learning: Effects on problem-solving abilities across learning styles Rusman Zaenal Abidin; Maman Fathurrohman; Aan Hendrayana; Zahid Zufar At Thaariq
Jurnal Inovasi dan Teknologi Pembelajaran Vol. 12 No. 3 (2025)
Publisher : Universitas Negeri Malang in collaboration with APSTPI and IPTPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v12i32025p162

Abstract

This study investigated the effect of Problem-Based Learning (PBL) assisted by Artificial Intelligence (AI) on students' problem-solving skills, with particular consideration for students' initial abilities and learning styles. The study employed a quasi-experimental design involving 120 undergraduate students, allocated into experimental and control groups. The results show that AI-assisted PBL greatly improves problem-solving skills (F=45.23, p<0.001, η²=0.38), but the effects varied, depending on the person's initial skill levels and learning styles. Students with low initial ability exhibited the most significant improvement (d=1.24), whereas visual learners derived the greatest benefit from AI-enhanced visualisations. These findings concluded that AI-assisted problem-based learning (PBL) can be an adaptive instructional strategy that addresses individual learning differences, with ramifications for creating more inclusive and customised educational interventions that mitigate achievement gaps and consider varied learning preferences in higher education settings.
Co-Authors Aan Hendrayana Maman Fathurrohman Zahid Zufar At Thaariq