Intelligent Tutoring Systems and the Future of Problem-Solving Education: An Opinionated Synthesis

Authors

DOI:

https://doi.org/10.56741/IISTR.jgi.001802


Keywords:

Adaptive Learning, Cognitive Mechanisms, Educational Technology, Personalized Learning, Problem Solving

Abstract

The rapid evolution of Intelligent Tutoring Systems (ITS) has transformed contemporary educational discourse, particularly regarding how automated systems can enhance students’ problem-solving abilities in STEM fields. Although empirical studies consistently show that ITS can outperform traditional instruction, the mechanisms driving these gains remain insufficiently emphasized in policy and pedagogical narratives. This article argues that ITS effectiveness stems from a synergy of seven cognitive mechanisms: adaptive scaffolding, immediate and elaborated feedback, model-tracing and knowledge-tracing, metacognitive prompting, productive practice, error-driven learning, and cognitive load regulation. An opinion-based synthesis supported by extensive literature is presented to advocate for the strategic integration of ITS within national instructional reforms. The conceptual framework includes a visual diagram representing the mechanisms and their interactions. Results and discussion are organized into three subsections The article concludes with recommendations for adopting ITS in large-scale educational systems to improve learners' higher-order problem-solving.

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Author Biographies

Dwi Sulisworo, Universitas Ahmad Dahlan

is a lecturer in the Education Study Program at Universitas Ahmad Dahlan, Yogyakarta, Indonesia. He holds undergraduate degrees in Mechanical Engineering and Industrial Engineering from Institut Teknologi Bandung and a Doctorate in Instructional Technology from Universitas Negeri Malang. His research focuses on technology-enhanced learning, digital pedagogy, and innovative instructional strategies. He has published extensively in reputable journals and remains active in academic collaboration and community engagement. (email: dwi.sulisworo@uad.ac.id).

Aysel Arslan, Sivas Cumhuriyet University

completed her primary education in Sivas and finished middle and high school through an open education program. She earned her Bachelor’s degree in Turkish Language Teaching from Sivas Cumhuriyet University (2010–2014), her Master’s degree in Curriculum and Instruction from the same university (2014–2017), and her Ph.D. in Curriculum and Instruction from Atatürk University (2017–2021). She has published numerous articles, conference papers, and book chapters. Her main research interests include cooperative learning, self-efficacy, digital addiction, values education, lifelong learning, and motivation. (email: ayselarslan@cumhuriyet.edu.tr).

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Published

2025-12-26

How to Cite

Sulisworo, D., & Arslan, A. (2025). Intelligent Tutoring Systems and the Future of Problem-Solving Education: An Opinionated Synthesis. Jurnal Genesis Indonesia, 4(03), 213–221. https://doi.org/10.56741/IISTR.jgi.001802

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