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Unlocking the Potential of AI in Education: What Higher Education Needs to Know
Unlocking the Potential of AI in Education: What Higher Education Needs to Know

Unlocking the Potential of AI in Education: What Higher Education Needs to Know

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Artificial Intelligence (AI) is a rapidly growing field transforming how we interact with technology. AI has the potential to revolutionize education by creating new opportunities for teaching, Learning, and assessment. In this paper, we will explore the potential of AI in higher education, the challenges and opportunities associated with it, and the best practices for implementing and evaluating AI in higher education. AI has been used in education for decades to support teaching, Learning, and assessment. However, the recent advances in AI technology have opened up new opportunities to use AI in innovative and exciting ways in higher education. AI applications in higher education include automated grading of assignments, personalized learning pathways, and automated tutoring. AI can also identify student problems and recommend solutions, develop more effective curricula, and create new learning experiences. AI can be used to automate repetitive tasks, personalize instruction, identify student problems, and create more effective curricula and assessment tools. However, some challenges are associated with its use, such as the need for more understanding regarding AI technology and the lack of AI infrastructure and resources in higher education. Institutions must ensure that AI is used responsibly and ethically, that all data collected is secure and that students' privacy is respected. By understanding the potential of AI in higher education and following the best practices for implementing and evaluating AI, institutions can unlock the potential of AI and create new opportunities for teaching, Learning, and assessment. The paper will be based on a secondary data reviewing journals on the topics of Artificial Intelligence, Higher Education and the future of Learning. The limitations to the findings are limited to the information available in the research material reviewed. The paper can be a foundational overview related to the impacts of AI on the future of higher education for further primary research.
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