INTEGRATION OF LEARNING ANALYTICS INTO A LEARNING MANAGEMENT SYSTEM BASED ON A MACHINE LEARNING ALGORITHM
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Abstract
The article substantiates the relevance of the application of educational methods of Data Mining, arising within the framework of the educational process, to study the implementation of the educational program. There are many benefits of using learning management systems (LMS), including cost reduction, content management, flexibility, and etc. Despite these significant advantages of using LMS, the traditional LMS system cannot support modern learning needs. In particular, extracting useful information from huge educational data, analyzing and interpreting this information is a difficult task. Learning analytics can effectively address these needs in terms of predicting student performance, engagement, and potential problems. This study presents learning analytics using machine learning techniques and examines its integration into LMS. In this work, machine learning methods are used to demonstrate the process of learning analytics and forecasting the implementation of an educational program using educational data.
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References:
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