作者
B Loganathan, Indrajit Patra, Vipul Garchar, Harikumar Pallathadka, Mohd Naved, Sanjeev Gour
发表日期
2022/3/4
研讨会论文
2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)
页码范围
1-5
出版商
IEEE
简介
MOOCs provide a new way to train students, reshape the way students learn, and attract students from all over the world to participate in their courses. Machine learning is a key component of artificial intelligence. Machine learning may be used to classify and predict outcomes. In order to aid the underachieving or average student, educational institutions need to know how much work they need to put in. The importance of EDM models can't be overstated, since they make use of past student performance data to forecast future student success. Educational institutions utilize a variety of methods to collect data on the characteristics of students who are actively involved in the learning process in order to help them and their pupils improve their performance. In a virtual classroom, pupils may be classified and predicted using the methodology presented in this article.
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