Bridging the Conceptual Understanding Gap in Calculus for Civil Engineering: The Role of AI in Mediating Theorems and Definitions
DOI:
https://doi.org/10.51903/jtie.v5i2.533Keywords:
Artificial Intelligence, Calculus, Civil Engineering, Conceptual Understanding, SLR;, PRISMAAbstract
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.
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Data Availability Statement
No new primary data were generated in this study. All data used in the systematic literature review were obtained from publicly available scholarly publications and are cited in the reference section.
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