{"title":"Individual Learning Trajectories and their Classification Using a Neural Network","authors":"S. Sosinskaya, R. V. Ashikhmin, A. Dorofeev","doi":"10.17587/it.28.653-662","DOIUrl":null,"url":null,"abstract":"The problem of automatic classification of individual learning trajectories (ILT) is considered taking into account the selected disciplines. It is proposed to classify the generated IOT sample using neural networks. Experiments were carried out on the formation of samples for classification and the results were evaluated.","PeriodicalId":37476,"journal":{"name":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/it.28.653-662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0
Abstract
The problem of automatic classification of individual learning trajectories (ILT) is considered taking into account the selected disciplines. It is proposed to classify the generated IOT sample using neural networks. Experiments were carried out on the formation of samples for classification and the results were evaluated.
期刊介绍：
Journal “Radioelectronics. Nanosystems. Information Technologies” (abbr RENSIT) publishes original articles, reviews and brief reports, not previously published, on topical problems in radioelectronics (including biomedical) and fundamentals of information, nano- and biotechnologies and adjacent areas of physics and mathematics. The authors of the journal are academicians, corresponding members and foreign members of the Russian Academy of Natural Sciences (RANS) and their colleagues, as well as other russian and foreign authors on the proposal of the members of RANS, which can be obtained by the author before sending articles to the editor or after its arrival on the recommendation of a member of the editorial board or another member of the RANS, who gave the opinion on the article at the request of the editior. The editors will accept articles in both Russian and English languages. Articles are internally peer reviewed (double-blind peer review) by members of the Editorial Board. Some articles undergo external review, if necessary. Designed for researchers, graduate students, physics students of senior courses and teachers. It turns out 2 times a year (that includes 2 rooms)
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