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    Automated evaluation techniques and AI-enhanced methods

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    Authors
    Ahmed, Sajeel
    Zaki, Abira
    Bentley, Yongmei
    Issue Date
    2024-05-31
    Subjects
    AI (Artificial Intelligence)
    evaluation
    
    Metadata
    Show full item record
    Other Titles
    Utilizing AI for Assessment, Grading, and Feedback in Higher Education
    Abstract
    The chapter explores the transformative potential of artificial intelligence (AI) in reshaping assessment, grading, and feedback processes in higher education. They cover real-time feedback mechanisms, AI-driven practices, and evaluation of AI-based assessments, promoting a more equitable, student-centered learning environment. AI is revolutionizing higher education by providing personalized grading criteria, analyzing student data, and adjusting assessment criteria to accommodate diverse learning styles. This approach promotes student engagement, fairness, and equity, enabling educators to tailor teaching strategies and address learning gaps. The chapter emphasizes faculty training and AI-driven enhanced methods.
    Citation
    Ahmed S, Zaki A, Bentley Y (2024) 'Automated evaluation techniques and AI-enhanced methods', in Al Harrasi NH, El Din MS (ed(s).). Utilizing AI for Assessment, Grading, and Feedback in Higher Education, IGI Global pp.1-27.
    Publisher
    IGI Global
    URI
    http://hdl.handle.net/10547/626834
    DOI
    10.4018/979-8-3693-2145-4.ch001
    Additional Links
    https://www.igi-global.com/gateway/chapter/346547
    Type
    Book chapter
    Language
    en
    ISBN
    9798369321454
    ae974a485f413a2113503eed53cd6c53
    10.4018/979-8-3693-2145-4.ch001
    Scopus Count
    Collections
    Business and management

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