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All Journal Journal of Technology Informatics and Engineering
Haris Jamaludin
Univeristas Universitas Sains dan Teknologi Komputer Semarang, Central Java, Indonesia
Computer Science & IT

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Bridging the Conceptual Understanding Gap in Calculus for Civil Engineering: The Role of AI in Mediating Theorems and Definitions Haris Jamaludin
Journal of Technology Informatics and Engineering Vol. 5 No. 2 (2026): AUGUST | JTIE : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v5i2.533

Abstract

This study aims to analyze the role of Artificial Intelligence (AI) in bridging the conceptual understanding gap in calculus among civil engineering students, focusing on how AI mediates the relationship between theorems and formal definitions. A Systematic Literature Review (SLR) following the PRISMA 2020 protocol was conducted. Literature searches were performed on Scopus, ScienceDirect, Google Scholar, DOAJ, and SINTA for the period 2020–2025. From 187 initially identified articles, 29 articles met the inclusion criteria after full-text screening. The findings reveal that AI has significant potential to bridge the conceptual gap through three primary mechanisms: (1) providing instant feedback and step-by-step explanations, (2) personalizing learning according to student comprehension levels, and (3) offering interactive visualizations of abstract concepts. However, AI still has limitations in complex reasoning and theorem proving, as well as risks of epistemic offloading that can reduce students' independent problem-solving abilities. The implications emphasize the importance of a blended approach with clear instructional guidance and adaptive assessment redesign to support effective AI integration in calculus learning within civil engineering programs, particularly in the Indonesian context.
Artificial Intelligence in Education Management: A Systematic Review of Decision Support Systems for Inclusive Education Haris Jamaludin
Journal of Technology Informatics and Engineering Vol. 4 No. 3 (2025): DECEMBER | JTIE : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v4i3.430

Abstract

This study examines the integration of artificial intelligence (AI) into education management systems, focusing on decision-support mechanisms for inclusive education. Through a systematic literature review of publications from 2019 to 2024, this research analyzes how AI technologies transform educational management practices and inform strategic decision-making. The findings reveal that AI-driven management systems significantly enhance resource allocation, personalized learning path creation, and inclusive education monitoring through advanced data analytics and predictive modeling. However, implementation challenges include data integration complexities, staff training requirements, and ethical considerations in algorithmic decision-making. The study identifies critical success factors for AI adoption in educational management, including leadership commitment, technological infrastructure, and stakeholder engagement. This research contributes to management science by providing a framework for AI implementation in educational institutions. It offers practical insights for education managers, policymakers, and technology developers seeking to leverage AI for inclusive education management.
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