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Title: Using Artificial Intelligence in Online Learning Environments for Positive Student Outcomes: A Scoping Review
Authors: Noor-i-Kiran Naeem, Haris Iqbal, Zil-e-Fatima Naeem, Asfandyar Anwer
Journal: Annals of King Edward Medical University
Publisher: King Edward Medical University, Lahore
Country: Pakistan
Year: 2025
Volume: 31
Issue: Spl2
Language: en
DOI: 10.21649/akemu.v31iSpl2.5811
Keywords: ARTIFICIAL INTELLIGENCEonline educationStudent Outcomes
With advancing technologies and advances in online learning, the potential of Artificial Intelligence (AI) tools to revolutionize education is undeniable. This scoping review aims to explore the roles that AI can play in online learning environments in higher education. Utilizing the revised Arksey and O’Malley protocol we identified 24 roles and 47 subroles that enhance learning in digital cyberspace. AI technologies using machine learning, natural linguistic processing and predictive analysis can enable cognitive skill development, provide personalized learning and undertake efficient content curation for the learners. These applications are supported by five identified AI Attributes- responsiveness, adaptability, predictiveness, proactiveness and decisiveness, each contributing to an interactive learning environment. By leveraging these attributes, educators and administrators can create data-driven, adaptive learning frameworks that improve student engagement and performance in online platforms. This scoping review consolidates existing research and provides a structured analysis of functions where AI can be used in education. Findings highlight AI’s potential to not only enhance accessibility but also optimize learning outcomes through intelligent automation and personalized learning.
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