Artificial Intelligence-Based Education in Human Capital Development
Keywords:
Artificial intelligence, smart education, human capital, organizational learning, ethics in technology, learning analyticsAbstract
Objective: This study aims to explain the role of artificial intelligence-based education in developing human capital through a systematic review and qualitative content analysis.
Methods and Materials: This qualitative review was conducted using a thematic analysis approach. Data were collected through a systematic review of scholarly articles published between 2015 and 2024 in Scopus, Web of Science, ScienceDirect, and Google Scholar. Twelve relevant studies were selected and analyzed using Nvivo version 14. Open, axial, and selective coding stages were applied to identify core themes until theoretical saturation was achieved.
Findings: The findings revealed that AI-based education significantly transforms educational systems, enhances personalized learning, and contributes to human capital development. Three main themes emerged: “Transformation of Education through AI” involving adaptive learning and learning analytics; “AI-Based Human Capital Development” encompassing reskilling, digital competence, and talent management; and “Ethical and Legal Challenges of AI-Based Learning,” addressing privacy, algorithmic bias, and governance frameworks. AI integration was found to increase learning efficiency, foster data-driven skills, and promote a culture of technological learning within organizations.
Conclusion: AI-based education serves as a strategic tool for sustainable human capital development. When accompanied by ethical considerations and robust technological infrastructure, it can enhance educational equity and organizational productivity. The study emphasizes the importance of integrating technology, ethics, and human-centered learning to leverage the full potential of artificial intelligence in education.
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