Diagnosing Object-Oriented Programming Difficulties: Association Rule Mining and Block-Based Scaffolding

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  3. Diagnosing Object-Oriented Programming Difficulties: Association Rule Mining and Block-Based Scaffolding
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Issue Vol. 10 No. 1 (2026)
Published 17 July 2026
Section Articles
Pages 14-23
doi.org/10.25124/ijies.v10i01.10530 file_copy
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Abstract

Logical thinking is fundamental for Object-Oriented Programming, yet vocational students frequently struggle with its abstract concepts. This study aims to overcome these cognitive barriers through a data-driven diagnostic approach and targeted intervention. Utilizing Educational Data Mining techniques, specifically Association Rule Mining, this research analyzed pretest patterns to map learning difficulties among 35 software engineering students in Indonesia. A Research and Development method with a One-Group Pretest-Posttest design was employed. The analysis revealed a "cognitive domino effect," identifying that failures in advanced topics are rooted in specific prerequisite weaknesses. Based on these findings, a remedial intervention using a Scaffolding model assisted by Block-Based Programming was implemented. The results demonstrated that this data-driven intervention significantly enhanced students' logical thinking skills (p<0.001), with a substantial increase in N-Gain scores. It is concluded that integrating algorithmic diagnosis with visual scaffolding effectively bridges the gap between abstract concepts and practical coding skills, offering a scalable model for vocational education.

Keywords: Association Rule Mining, Block-Based Programming, Educational Data Mining, Object-Oriented Programming, Scaffolding

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[1]
Gintara, A.R. et al. 2026. Diagnosing Object-Oriented Programming Difficulties: Association Rule Mining and Block-Based Scaffolding. IJIES (International Journal of Innovation in Enterprise System). 10, 1 (Jul. 2026), 14–23. DOI:https://doi.org/10.25124/ijies.v10i01.10530.
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Author Biographies

Andre Rangga Gintara Universitas Pendidikan Indonesia

Department of Computer Science Education

Lala Septem Riza Universitas Pendidikan Indonesia

Department of Computer Science Education

Wahyudin Universitas Pendidikan Indonesia

Department of Computer Science Education

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