In recent times, the incorporation of Artificial Intelligence (AI) into higher education has surged, marking a significant shift in teaching and learning methodologies. These include customized tutoring platforms, adaptive and smart tutoring systems, data analytics tools, virtual assistants tailored for academic use, curriculum design and development software, collaborative learning platforms, assessment, and feedback tools, as well as discussions on the ethical implications of AI adoption in higher education. The discussion emphasizes that the thoughtful inclusion of AI not only refines pedagogical methodologies but also facilitates the extensive coverage of contemporary educational strategies. The chapter strategically examines current applications of AI tools, presents successful case studies illustrating their impact, and envisions potential future developments. Educators also prioritize fostering critical thinking and digital literacy skills in students to enable them to engage with AI responsibly. Additionally, collaborative projects, hands-on learning opportunities, and interdisciplinary approaches are encouraged to prompt students to explore AI’s societal impacts and applications across various fields. Through these strategies, higher education institutions seek to equip students for the AI-driven workforce while fostering innovation and creativity in educational practices. This paper aims to throw the limelight on the possibility of integrating advanced computational technologies such as AI, ML, and IoT towards empowering the modern education system to attain par excellence.

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AI Integrated Pedagogical Techniques for Higher Education

  • Jayalakshmi Dhasarathan,
  • Suresh Balakrishnan Thangasamy,
  • Samson Ebenezar Uthirapathy,
  • Arunkumar Rattinamangalam Sakthivel,
  • Santhakumar Devaraj,
  • Mary Herin Fernandez Fernandez,
  • Priyanga Subbiah,
  • Lakshmi Kanthan Narayanan

摘要

In recent times, the incorporation of Artificial Intelligence (AI) into higher education has surged, marking a significant shift in teaching and learning methodologies. These include customized tutoring platforms, adaptive and smart tutoring systems, data analytics tools, virtual assistants tailored for academic use, curriculum design and development software, collaborative learning platforms, assessment, and feedback tools, as well as discussions on the ethical implications of AI adoption in higher education. The discussion emphasizes that the thoughtful inclusion of AI not only refines pedagogical methodologies but also facilitates the extensive coverage of contemporary educational strategies. The chapter strategically examines current applications of AI tools, presents successful case studies illustrating their impact, and envisions potential future developments. Educators also prioritize fostering critical thinking and digital literacy skills in students to enable them to engage with AI responsibly. Additionally, collaborative projects, hands-on learning opportunities, and interdisciplinary approaches are encouraged to prompt students to explore AI’s societal impacts and applications across various fields. Through these strategies, higher education institutions seek to equip students for the AI-driven workforce while fostering innovation and creativity in educational practices. This paper aims to throw the limelight on the possibility of integrating advanced computational technologies such as AI, ML, and IoT towards empowering the modern education system to attain par excellence.