Educational Computer Science DevelopmentBased on Data Mining

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

Keywords:

Data Mining , Educational Data Mining , Machine Learning , Data Analytics , Computer Science Education