Scholarly record
USING EDUCATIONAL DATA MINING IN AN E-LEARNING SYSTEM
Abstract
Currently, there is a serious increase in the use of various e-learning systems. The information technologies of the Learning Management Systems (LMS) platforms should use the possibilities of extracting and analyzing a variety of educational data during learning. Complete and visual learning outcomes are possible through the use of data processing techniques, Educational Data Mining (EDM) methods, and representations in various forms. Comprehensive analysis of data statistics and learning results will ensure high-quality reports. It is also important to ensure the proper quality and speed of the analysis process, correctly implementing the initial stage of processing the source data in the EDM process. Data sources are estimated by several parameters that determine whether the sources are relevant, effective, and sustainable. It is also necessary to evaluate the rating of each source for the analysis process. The main purpose of the research and the modeling is to design an adaptive and flexible educational system to improve the efficiency and quality of learning. At the same time, it should be taken into account that after the implementation, educators and scientists will be able to develop and maintain this system. Students use educational systems and produce various educational data. Based on the available data about students, course usage, communication, and interaction, data mining methods can provide valuable knowledge for enhancing educational and instructional design. The need to develop an application for data mining as an LMS module can be explained by the possibility of closer integration, which means the higher performance of this solution method.
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References8
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Learning Analytics Enriched Rubric, moodle.org/plugins/gradingform_erubric.
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