The Shortcut Problem: Rethinking AI’s Role in Modern Education

Abstract

**Abstract** Artificial Intelligence (AI) has rapidly become a significant part of modern education, with tools such as ChatGPT, AI tutors, grammar assistants, and automated homework helpers being widely used by students around the world. These technologies provide instant feedback, personalised learning experiences, and greater accessibility, making education more efficient and adaptable to individual learning needs. However, the growing dependence on AI-generated responses has raised concerns about whether students may become less capable of thinking critically, solving problems independently, and developing original ideas. This research investigates how frequent use of AI learning tools affects students' critical-thinking and independent problem-solving abilities and explores ways to integrate AI into education responsibly. The research was conducted through an analysis of secondary sources, including reports, surveys, educational studies, and publications from organisations such as UNESCO, the OECD, the World Economic Forum, Harvard Graduate School of Education, and the Walton Family Foundation. These sources were examined to identify patterns, opportunities, and risks associated with AI-assisted learning. The findings revealed that a growing number of students regularly use AI tools for completing assignments, conducting research, and generating written content. While this increases efficiency and accessibility, evidence suggests that excessive reliance on AI-generated answers may reduce opportunities for independent reasoning, analytical thinking, and creative problem-solving. Students who consistently depend on instant solutions may become more likely to engage in passive learning rather than actively working through challenges and developing their own understanding. At the same time, the research found that AI can positively support education when designed to encourage active participation. Studies on guided learning, active learning strategies, and Socratic questioning methods indicate that students achieve stronger comprehension, deeper engagement, and better long-term retention when they are encouraged to think through problems rather than simply receiving answers. These findings suggest that the educational impact of AI depends not on the technology itself but on how it is implemented. Based on these findings, this study proposes a “Thinking-First AI Mode” for educational AI platforms. Instead of immediately providing complete solutions, the system would guide students through reflective questions, hints, and step-by-step reasoning before revealing answers. This approach would encourage students to engage actively with concepts, develop critical-thinking skills, and strengthen independent problem-solving abilities while still benefiting from AI support. The research concludes that AI should function as a learning assistant rather than a replacement for human thought. Responsible implementation can help preserve creativity, reasoning, and intellectual independence while maximising educational benefits. Future research should include surveys, interviews, and experimental studies involving students from different age groups to measure the long-term effects of AI-assisted learning and evaluate the effectiveness of guided-learning AI systems in real classroom environments.

Keywords

Applied Science - Computer Science

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