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Impact of AI-Based Learning Tools on Students’ Problem-Solving Ability

Author(s) Dr. Manju
Country India
Abstract AI-based learning technologies are transforming the world of education by providing dynamic feedback, customized learning experiences, intelligent tutorials, automated hints and problem-centered help. In this paper, the authors will discuss the effects of AI-based learning tools on students in modern educational environments on their ability to solve problems. Problem-solving is an essential higher-order cognitive ability, which implies finding the problems, analyzing information, creating options, experimenting with strategies, and weighing the results. Intelligent tutoring systems, adaptive learning platforms, chatbots, automated assessment systems, and AI-assisted simulations are examples of AI tools increasingly mediating such processes by assisting students in completing complex tasks and providing real-time assistance. The paper states that AI can increase the problem-solving skill of students in the context of scaffolding inquiry, formative feedback, and metacognition support. Nevertheless, AI can be used to enhance learning through pedagogical design, learner autonomy, teacher mediation, and ethical applications. The high dependence on AI-generated solutions can hinder critical thinking once students opt to rely on the systems only to get answers instead of coming up with the reasoning mechanisms. Based on the perspectives of constructivism, socio-cognitive, and self-regulated learning, this paper suggests five research objectives and three hypotheses on how AI-based learning tools and problem-solving outcomes relate to each other. The literature review reveals that AI-based learning systems are able to enhance engagement, conceptual learning, adaptive decision-making, and strategic thinking, particularly in mathematics, science, and technology-intensive project work. Simultaneously, the issues of bias, digital inequality, less cognitive effort, and low teacher preparedness remain important. The paper concludes that AI-based learning tools may have a positive influence on the problem-solving capability of students when implemented as a part of reflective, inquiry-driven, and ethically guided learning and not as the use of shortcuts to complete tasks.
Keywords intelligent tutoring systems, problem-solving ability, artificial intelligence, adaptive learning, students.
Published In Volume 17, Issue 3, Array 2026
Published On 2026-03-23
Cite This Impact of AI-Based Learning Tools on Students’ Problem-Solving Ability - Dr. Manju - IJTAS Volume 17, Issue 3, Array 2026.
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