Ethical artificial intelligence for teaching-learning in higher education

Ethical artificial intelligence for teaching-learning in higher education

21 February 2024 | Mohammed Airaj
This paper proposes a human-centered approach to integrating Artificial Intelligence (AI) in higher education, focusing on promoting equitable access to knowledge while preserving privacy and ethics. Using third-generation Activity Theory, the study examines the interaction between three activity systems: AI teachers, human teachers, and students. The multi-role design acknowledges the roles of different actors and AI-based tools, emphasizing the importance of understanding how these systems interact and influence each other. This analysis leads to the development of the Ethical AI in Education (EAIED) multi-platform, which integrates recent advancements in AI, pedagogical strategies, and ethical guidelines. EAIED emphasizes data privacy, ethics, and interoperability, offering interactive, personalized, and equitable teaching-learning experiences that foster critical thinking, higher-order skills, engagement, communication, and expansive learning. The paper highlights the potential of AI to revolutionize higher education through automation, intelligent tutoring systems, personalized programs, adaptive learning, and decision-making, while addressing ethical and privacy concerns.This paper proposes a human-centered approach to integrating Artificial Intelligence (AI) in higher education, focusing on promoting equitable access to knowledge while preserving privacy and ethics. Using third-generation Activity Theory, the study examines the interaction between three activity systems: AI teachers, human teachers, and students. The multi-role design acknowledges the roles of different actors and AI-based tools, emphasizing the importance of understanding how these systems interact and influence each other. This analysis leads to the development of the Ethical AI in Education (EAIED) multi-platform, which integrates recent advancements in AI, pedagogical strategies, and ethical guidelines. EAIED emphasizes data privacy, ethics, and interoperability, offering interactive, personalized, and equitable teaching-learning experiences that foster critical thinking, higher-order skills, engagement, communication, and expansive learning. The paper highlights the potential of AI to revolutionize higher education through automation, intelligent tutoring systems, personalized programs, adaptive learning, and decision-making, while addressing ethical and privacy concerns.
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