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Eurasian Journal of Educational Research

Eurasian Journal of Educational Research

An Open Access Journal | Print ISSN : 1302-597X | e-ISSN : 2528-8911

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Effectiveness of AI-powered Tutoring Systems in Enhancing Learning Outcomes

  • Xiaoyu Zhang , PhD Candidate Institute for Advanced Studies Universiti Malaya Kuala Lumpur Malaysia Postcode 50603
  • Wong Seng Yue , Associate Professor Academy of Malay Studies Universiti Malaya Kuala Lumpur Malaysia Postcode 50603
  • Kenny Cheah Soon Lee , Senior Lecturer Department of Education Management, planning and policy & Faculty of Education Universiti Malaya Kuala Lumpur Malaysia Postcode 50603

ABSTRACT

Background: The emergence of artificial intelligence has profoundly influenced numerous sectors, including visual arts education. As global education systems increasingly embrace digitisation and personalisation, AI-driven tools are introducing innovative approaches to enrich both artistic expression and instructional methods. These technologies facilitate more dynamic learning environments by enhancing the creative process and fostering pedagogical interaction in novel ways. Objectives: This research explores the deployment and effects of artificial intelligence applications in the context of visual arts instruction over the period from 2019 to 2024. It particularly examines how General Systems Theory may be utilised to interpret the complex interrelations, advantages, and newly arising difficulties at the intersection of educational practice and AI integration. Methods: The study adopts a quantitative methodology, grounded in the theoretical principles of General Systems Theory. Data were obtained from various AI-enabled learning platforms and subsequently examined using descriptive statistical techniques alongside systems-based modelling. The analysis aimed to detect patterns and outcomes concerning personalised learning pathways and digital tools designed to support creative development. Results: The analysis indicates that AI-driven instruments—most notably Adaptive Learning Systems and Generative Adversarial Networks—have significantly improved learner participation and educational achievement in the arts. These systems enable students to engage with a broad spectrum of visual styles while receiving immediate, tailored feedback that aligns with their individual learning trajectories. Nevertheless, the integration of such technologies brings forth considerable obstacles, particularly in relation to intellectual property concerns, ethical considerations surrounding AI-generated content, and the preparedness of educational systems for comprehensive AI adoption. Conclusion: Although AI presents substantial potential to advance the field of visual arts education, its implementation must be navigated through robust ethical oversight, strategic policy formulation, and adaptable institutional frameworks. Such measures are essential to ensure long-term viability, equitable access, and the preservation of originality within creative educational settings.

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Original Article, 2025 Issue 116

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Eurasian Journal of Educational Research