A critical evaluation of the use of artificial intelligence in learning
Year: 2025
Type: article
Abstract: The growing prominence of Artificial Intelligence (AI) presents an opportunity to revolutionise learning by tailoring instruction according to individual student needs. Proponents of AI predict its potential to enhance student engagement, address learning gaps, and optimise academic performance. AI can identify strengths and weaknesses and recommend remedial paths and activities to cater to diverse learning styles, paces, and needs through the analysis of student data. Nevertheless, relying on AI in teaching and learning requires a critical examination of the possible benefits and drawbacks of making learning increasingly dependent on AI systems and solutions. Thus, this study critically evaluates the role of AI in personalised learning, highlighting its benefits and challenges in the context of higher education. While AI enhances engagement and learning outcomes, ethical and practical concerns, including algorithmic bias, are also discussed.
Author: Al Amrani, Moundir
Institution: Institut National des Postes et Télécommunications
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893382118
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