Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination

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Sohana Akter


Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.

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How to Cite
Akter, S. . (2024). Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination. Journal of Artificial Intelligence General Science (JAIGS) ISSN:3006-4023, 4(1), 96–110. https://doi.org/10.60087/jaigs.v4i1.83