Leveraging Artificial Intelligence for Pedagogical Transformation: Adaptive Models and Ethical Considerations in Higher Education Learning
Keywords:
Artificial Intelligence, Higher Education, Digital Pedagogy, AI Ethics,Abstract
The digital era has fundamentally reshaped the higher education landscape, prompting the integration of innovative technologies to meet increasingly dynamic learning needs. This article explores the transformative potential of Artificial Intelligence (AI) in revolutionizing pedagogy within higher education, focusing on adaptive learning models and crucial ethical considerations. Through a systematic literature review of Scopus and Web of Science databases from 2019-2024, we analyze diverse AI applications, including intelligent tutoring systems, curriculum personalization, predictive learning analytics, and virtual assistants. We identify significant gaps in balanced AI implementation, particularly concerning pedagogical efficiency versus ethical aspects such as data privacy, algorithmic bias, and academic autonomy. Based on a synthesis of findings, we propose a Multi-dimensional AI Integration Framework (KII-AI) that considers pedagogical, technical, ethical, and institutional dimensions. This framework is designed to guide higher education institutions in strategically adopting AI, maximizing the benefits of personalization and efficiency while mitigating risks. The article's main contribution lies in presenting a comprehensive and balanced model for AI integration, offering practical recommendations and policy implications for faculty, curriculum developers, and decisionmakers in higher education, especially within the context of developing countries.
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