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- W3003948027 abstract "During the learning process, more and more data is generated, called big data, which includes a variety of data about students and the learning process. These data represent the “footprints” that students “leave” when they interact with an increasingly complex and rapidly changing learning environment. The abundance of data leads to an increasing interest in the use of methods of analytics of educational data (Education Data Mining, EDM) of researchers, teachers and practitioners in the field of academic education. In the process of educational activity, students are constantly faced with an overabundance of information resources. Large amounts of information in a formalized, formalized-algorithmized form lead to an uncontrolled increase in cognitive load in the educational process. In order to manage the learning process, it is necessary in a short time to obtain information about the individual characteristics of the cognitive and mental activity of students in order to reconfigure the educational content, adapt the process to a particular student to reduce the negative effect. In this report, the application of EDM technology in training systems and their prospects is discusses." @default.
- W3003948027 created "2020-02-07" @default.
- W3003948027 creator A5088031644 @default.
- W3003948027 date "2019-10-01" @default.
- W3003948027 modified "2023-09-24" @default.
- W3003948027 title "Applying Educational Data Mining Tools to Learning Management Problems" @default.
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- W3003948027 doi "https://doi.org/10.1109/cts48763.2019.8973291" @default.
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