Utilization of AI Technology in Supporting the Optimization of Learning Principles (Mindful, Meaningful, and Joyful) in the Deep Learning Framework

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Keywords:
Artificial Intelligence, Deep Learning, Joyful Learning, Meaningful Learning, Mindful Learning
Abstract

The development of Artificial Intelligence (AI) technology in education is now functioning not only as a technical tool but is also directed toward creating mindful, meaningful, and joyful learning experiences within the Deep Learning framework, although current implementations often still overlook reflective and affective aspects. This study aims to map how AI technologies can optimize mindful, meaningful, and joyful learning within deep learning frameworks by systematically analyzing their strategies, effectiveness, and implementation challenges. This study employs a Systematic Literature Review (SLR) method on 13 selected articles to map out the strategies, effectiveness, and AI features that can optimize these principles. The SLR procedure was carried out through literature identification, screening using inclusion–exclusion criteria, and the analysis–synthesis of relevant research findings. The findings indicate that the integration of AI and Deep Learning contributes significantly to creating adaptive and personalized learning through real-time feedback and the use of interactive tools such as Canva AI and Quizizz AI. Furthermore, although teacher training has been proven to improve pedagogical competence in designing AI-based learning, a gap remains between conceptual understanding and practical application in the classroom due to constraints in digital literacy and infrastructure. It is concluded that the synergy between AI and cognitivism theory is capable of realizing a reflective and empowering learning ecosystem, provided it is supported by continuous mentoring programs to address existing technical and pedagogical challenges.

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Published
2026-03-30
Issue
Vol. 1 No. 1 (2025)
Section
Articles