Beyond algorithms: Revolutionized AI-education and human potentials for 2030
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Abstract
Background: Currently, artificial intelligence (AI) plays a significant role in enhancing educational settings through developing classroom instructions, automating assessments, personalised learning and lifelong learning.
Purpose: The current study aims to conceptualise the impacts of AI on education and human potential by 2030, investigating the growing number of relevant publications and collaborations between national authors and institutions, as well as international collaboration.
Method: The study utilised a bibliometric analytic technique to collect papers published in Scopus and Web of Science databases. The collection process followed PRISMA criteria in selecting 37119 published papers. The data is analysed using VOSviewer software to display co-authorship networks, citation patterns, and keyword co-occurrences.
Results: The findings reveal a consistent annual growth in AI-correlated research in education, with significant collaboration across key authors, nations and institutions. Besides, thematic analysis revealed significant indications concerning adaptive education, AI-human collaboration, and customised tutoring systems. These indications are not only offering responses to the present research questions but also highlight a shift from AI as a support tool for creative force in education.
Conclusion: The current research has revealed an urgent call for action by educators, policymakers, and developers to fully utilise AI appropriately and jointly, ensuring that by 2030, AI is employed as an assistance for rational, human-centered learning. Finally, it concluded with final thoughts and a vision for 2030.
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