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All Journal Scientechno: Journal of Science and Technology Journal Neosantara Hybrid Learning
Ruhul Amin
Bangladesh University of Business and Technology (BUBT)

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AN AI-BASED ADAPTIVE LEARNING PLATFORM FOR PERSONALIZED STEM EDUCATION IN INDONESIAN HIGH SCHOOLS Nong Chai; Shahinur Rahman; Tasnia Islam; Ruhul Amin
Scientechno: Journal of Science and Technology Vol. 5 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v5i1.2639

Abstract

In recent years, the demand for personalized education has increased, particularly in Science, Technology, Engineering, and Mathematics (STEM) fields, where students’ learning needs vary significantly. In Indonesia, traditional classroom-based teaching methods struggle to accommodate the diverse learning styles and paces of students. With the rise of Artificial Intelligence (AI), there is a growing opportunity to design adaptive learning platforms that provide personalized learning experiences. However, such platforms are still underutilized in Indonesian high schools, especially in STEM education. This study aims to develop and evaluate an AI-based adaptive learning platform tailored to personalized STEM education for high school students in Indonesia. The platform’s primary goal is to enhance student engagement and academic performance by adapting learning materials and strategies based on individual student progress and preferences. The research utilized a design-based methodology, developing the platform using AI algorithms to monitor and adjust content delivery according to the student’s learning pace, strengths, and weaknesses. A quasi-experimental design was employed, with pre- and post-assessments conducted to evaluate the effectiveness of the platform in a sample of 200 high school students across four Indonesian schools. The platform significantly improved student engagement, with a 15% increase in STEM learning outcomes. Students demonstrated higher retention rates and improved problem-solving abilities, especially in mathematics and science. The AI-based adaptive learning platform proves to be a promising tool for personalized STEM education, enhancing both student learning experiences and academic performance in Indonesian high schools.
ASSESSING COLLABORATIVE SKILLS IN A HYBRID PROJECT: A NOVEL FRAMEWORK AND RUBRIC FOR INDONESIAN HIGHER EDUCATION Bilal Aslam; Shahinur Rahman; Tasnia Islam; Ruhul Amin
Journal Neosantara Hybrid Learning Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnhl.v3i2.2855

Abstract

The rise of hybrid education in Indonesian higher education has necessitated the development of new assessment approaches to evaluate students’ collaborative skills in digitally mediated learning environments. Traditional group assessment methods often fail to capture the complexity of teamwork processes that occur across both face-to-face and online modalities. This study aims to design, implement, and validate a novel framework and rubric for assessing collaborative competence in hybrid project-based courses. The framework integrates dimensions of digital interaction, task coordination, communication ethics, and reflective collaboration to align with the 21st-century skill requirements in higher education. A design-based research (DBR) methodology was employed, involving three iterative cycles of development, implementation, and evaluation. Participants included 120 undergraduate students from education and engineering faculties at three Indonesian universities. Data were collected through observation, peer-assessment forms, and reflective journals, and analyzed using mixed methods—quantitative reliability testing of the rubric and qualitative thematic analysis of students’ reflections. The findings indicate that the new rubric achieved high inter-rater reliability (Cronbach’s ? = 0.89) and effectively differentiated between levels of collaborative performance. Students demonstrated increased awareness of equitable participation and digital communication norms when the rubric was integrated into formative feedback processes. The study concludes that the proposed framework and rubric offer a practical and context-sensitive tool for assessing collaboration in hybrid higher education settings. The model contributes to both pedagogical assessment design and the broader discourse on digital collaboration in Southeast Asian higher education.      
Co-Authors Bilal Aslam Nong Chai Shahinur Rahman Tasnia Islam