Application of Machine Learning in Education: Recent Trends Challenges and Future Perspective.

Abdulgaffar Abubakar Yahaya; Bashir Muhammad Ahmad; Faisal Rasheed; Usman Haruna; Abbas Sani; Babangida Salisu Muaz; Ismail Abubakar Yahaya; Aliyu Hamza Idris

doi:10.52589/BJCNIT-YLJQOCVP

Application of Machine Learning in Education: Recent Trends Challenges and Future Perspective. | AB Journals

Application of Machine Learning in Education: Recent Trends Challenges and Future Perspective.

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British Journal of Computer, Networking and Information Technology

Vol. 7Issue 32024pp. 118–131Published 9 September 2024

DOI 10.52589/BJCNIT-YLJQOCVP

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Abstract:

In recent times, Machine learning (ML) is one of the most valuable fields of artificial intelligence (AI) that is transforming education. The application of ML in education provides a promising benefit both to the scientists and researchers and this is the focus of this study. This paper reviews recent trends and advancements of ML in education focusing on areas such as personalization of learning, predictive analytics, plagiarism detection, intelligent tutoring systems, gamification of learning, and recommendation systems. After conducting the literature review, we found the current benefits and challenges of ML in education. The paper also provides insight into the applications and recommendations to address the challenges of ML in education.

Keywords:Machine Learning Artificial Intelligence Intelligent Tutoring System Recommendation System Personalization Applications plagiarism detection.

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