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What is Personalised Feedback

Utilizing AI for Assessment, Grading, and Feedback in Higher Education
In times of uncertainty and isolation, teachers might employ the tactic of personalised feedback to foster social connectivity among students.
Published in Chapter:
Integrating AI in Higher Education: Applications, Strategies, Ethical Considerations
Salim Bakhit Al Daraai (Muscat College, Oman), Mallak Al Maqrashi (Muscat College, Oman), Mohammed Al Zakwani (Muscat College, Oman), and Zahir Al Shaikh (University of Technology and Applied Sciences, Muscat, Oman)
DOI: 10.4018/979-8-3693-2145-4.ch008
Abstract
This chapter provides a comprehensive overview of a study investigating the integration of artificial intelligence (AI) in higher education. The chapter examines various applications, strategies, and ethical considerations associated with this integration. It explores how AI technologies can automate tasks such as teaching, learning, and grading, enhancing the efficiency and accessibility of education. Additionally, the chapter investigates the potential benefits of AI in delivering personalised learning experiences, catering to diverse learning needs, and enhancing student engagement through intelligent tutoring systems and virtual environments. Furthermore, the chapter addresses ethical concerns related to AI, including issues concerning data privacy and algorithmic bias. It emphasises the importance of aligning AI applications with educational objectives. It highlights the necessity of providing teacher training and continuously improving AI implementation to ensure that these technologies complement, rather than replace, the human aspects of education.
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