Farsheed Latifee, Mohammad Mukhlis Behsoodi, Abdul Jabar Momand

Volume 6 Issue 1 | Dec 2024

DOI: 10.31841/KJET.2024.42

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Abstract

Efforts to improve student success, particularly in online and higher education environments, have been transformed by integrating artificial intelligence (AI) and learning analytics in the classroom. This paper provides an extensive overview of current research on using AI-driven methods to forecast and enhance student performance. The study, which synthesizes the results of several studies, looks at how learning outcome prediction models are created using student interaction data, such as participation in forums, quizzes, and collaborative tools. Findings show that utilizing a variety of interaction-based characteristics can lead to prediction accuracy of up to 75%, highlighting the potential of these methods to improve comprehension of the dynamics of online learning. Furthermore, comparison studies of machine learning algorithms like random forest and logistic regression show how well they predict the perseverance and performance of students. With predictive modelling, at-risk students can be identified early on, allowing for more focused interventions to promote academic success in higher education settings. The review also discusses more general ramifications, such as the moral dilemmas and pedagogical difficulties raised by using AI in the classroom. AI's application in education is growing as it can provide tailored learning experiences, streamline administrative duties, and improve student performance. However, worries about data privacy, algorithmic bias, and the fair application of AI technology highlight the necessity of cautious implementation techniques and continuous assessment. This review article advocates for a balanced strategy that minimizes risks and maximizes benefits in educational contexts while highlighting the transformative potential of AI and learning analytics in enhancing student performance.
Keywords: Artificial Intelligence (AI), Student Success, Learning Analytics, Education