Educational Computer Science DevelopmentBased on Data Mining
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 28
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شناسه ملی سند علمی:
SETIET05_018
تاریخ نمایه سازی: 28 بهمن 1402
چکیده مقاله:
The growing use of technology in education generates massive amounts of data every day, attracting scholars worldwide. Educational data mining is growing quickly and may use cutting-edge machine learning and data mining methods and approaches. Advanced data mining techniques can help understand students, particularly computer science students, and their learning environments, as well as extract unique, captivating, and meaningful insights from educational data. EDM may be used to identify at-risk students, prioritize different student groups, raise graduation rates, evaluate institutional performance, optimize campus resources, and improve topic curricula. A comprehensive assessment of EDM studies showed its widespread use and effect. This research investigated the methods and data utilized in numerous studies and identified the most popular and promising EDM applications
کلیدواژه ها:
نویسندگان
Mina Fazlikhani
Department of Computer Engineering, Iran University of Science & Technology, Tehran, Iran
Iman Bagheri
University Lecturer, Department of Electrical and Electronics Engineering, Montazeri Technical and Vocational University