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Jafari, Delara, Shaterzadeh-Yazdi, Zahra. (1403). Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles. , 56(2), 135-150. doi: 10.22059/jac.2025.388822.1220
Delara Jafari; Zahra Shaterzadeh-Yazdi. "Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles". , 56, 2, 1403, 135-150. doi: 10.22059/jac.2025.388822.1220
Jafari, Delara, Shaterzadeh-Yazdi, Zahra. (1403). 'Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles', , 56(2), pp. 135-150. doi: 10.22059/jac.2025.388822.1220
Jafari, Delara, Shaterzadeh-Yazdi, Zahra. Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles. , 1403; 56(2): 135-150. doi: 10.22059/jac.2025.388822.1220

Transforming Education with AI: The Development of a Personalized Learning Algorithm for Individual Learning Styles

Journal of Algorithms and Computation
دوره 56، شماره 2، اسفند 2024، صفحه 135-150    اصل مقاله (1.1 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jac.2025.388822.1220
نویسندگان
Delara Jafari1؛ Zahra Shaterzadeh-Yazdi* 2
1School of Engineering Science, College of Engineering, University of Tehran, 16 Azar Street, Enghelab Square, Tehran, Iran
2School of Engineering Science, College of Engineering, University of Tehran, 16 Azar Street, Enghelab Square, Tehran, Iran
چکیده
The evolving educational landscape requires innovative teaching methods to enhance learning and accommodate diverse styles. Technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are transforming education by improving student performance and engagement. This research introduces an Artificial Intelligent Personal Recommender System Algorithm (AIPRS) that focuses on individual learning styles and interests to recommend customized learning programs. Unlike traditional methods, AIPRS personalizes education by analyzing learners' backgrounds and preferences, utilizing AI, ML, and IoT. This tailored approach marks a significant shift from conventional systems, emphasizing the importance of individual learning styles to improve the overall educational experience. The study highlights the potential of personalized education, offering a solution to efficiently deliver knowledge and enhance student satisfaction.
کلیدواژه‌ها
Personalized Recommender Learning Algorithm؛ Artificial Intelligence (AI)؛ Machine Learning (ML)؛ Internet of Things (IoT)؛ Educational Technology؛ Learning Styles
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