Description

Book Synopsis

This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. It examines the integration of various AI tools within higher education, discussing the challenges and opportunities they present and the innovative solutions they offer.

The chapters explore various issues surrounding the use of AI in higher education and propose potential solutions. The book begins with a systematic exploration of AI's potential, presenting innovative ways to ensure fair and accurate assessments that enhance the overall quality of education. It highlights the benefits of AI-powered grading systems that streamline assessment processes, provide timely feedback, and promote fair evaluations. The text discusses how machine learning algorithms can revolutionize assessment methods, allowing individualized, adaptive testing tailored to each student's unique needs. Furthermore, it examines Natural Language Processing (NLP)

Adopting Artificial Intelligence Tools in Higher

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    A Paperback by Thangavel Murugan

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      View other formats and editions of Adopting Artificial Intelligence Tools in Higher by Thangavel Murugan

      Publisher: CRC Press
      Publication Date: 5/7/2025
      ISBN13: 9781032746654, 978-1032746654
      ISBN10: 1032746653

      Description

      Book Synopsis

      This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. It examines the integration of various AI tools within higher education, discussing the challenges and opportunities they present and the innovative solutions they offer.

      The chapters explore various issues surrounding the use of AI in higher education and propose potential solutions. The book begins with a systematic exploration of AI's potential, presenting innovative ways to ensure fair and accurate assessments that enhance the overall quality of education. It highlights the benefits of AI-powered grading systems that streamline assessment processes, provide timely feedback, and promote fair evaluations. The text discusses how machine learning algorithms can revolutionize assessment methods, allowing individualized, adaptive testing tailored to each student's unique needs. Furthermore, it examines Natural Language Processing (NLP)

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