10 papers analyzed
These studies suggest AI in higher education enhances teaching, learning, and administrative processes through personalization, intelligent tutoring, and automation, but also raises concerns about ethics, privacy, and academic integrity.
Artificial Intelligence (AI) is increasingly being integrated into higher education, offering potential benefits in teaching, learning, and administrative processes. This synthesis explores the various applications, impacts, and challenges of AI in higher education based on recent research findings.
Applications in Teaching and Learning:
Administrative and Institutional Support:
Ethical and Pedagogical Considerations:
Impact on Academic Integrity:
Student Perceptions and Acceptance:
Future Directions and Innovations:
AI in higher education offers significant potential to enhance teaching, learning, and administrative processes. It supports personalized and adaptive learning, automates routine tasks, and improves decision-making. However, ethical considerations and alignment with pedagogical theories are crucial for its effective integration. Addressing challenges related to academic integrity and student perceptions will be essential for the successful adoption of AI in higher education.
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