{"title":"大学生适应性学习问题中的网络规划方法论","authors":"M. Kataev, A. Sukhorukov, L. Bulysheva","doi":"10.32517/0234-0453-2020-35-8-45-56","DOIUrl":null,"url":null,"abstract":"The article proposes a methodology of network planning in the problem of adaptive learning of university students. The elements of network planning are briefly presented, the use of adaptive learning methods in the educational process is described. The learning process in the university is considered, and the possibilities of describing it using the formalism of network planning within some discipline are analyzed. The developed technique for assessing the performance of tasks is given. The process of interaction between a teacher and a student in the learning process is described in terms of assessing the sequence of this interaction and the parameters of the proposed algorithm. The developed model of the discipline in the form of a linear sequence of actions for the study of the discipline is presented. To reflect the efforts made to obtain a learning outcome, a graphical representation of the discipline's network model is given. The results of the use of network graphics in the educational process within one discipline are presented. The formulas used to assess the student when using this technique are described. Several variants of passing the academic discipline by a student are considered, analytical data obtained by comparing these variants are presented. A computer program designed to support the developed technique is presented. The results of using the proposed methodology for assessing the study of a discipline by a university student are analyzed. The study of the methodology presented in the article can be useful for both university teachers and students.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":"52 1","pages":"45-56"},"PeriodicalIF":2.1000,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network planning methodology in the problem of adaptive learning of university students\",\"authors\":\"M. Kataev, A. Sukhorukov, L. Bulysheva\",\"doi\":\"10.32517/0234-0453-2020-35-8-45-56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article proposes a methodology of network planning in the problem of adaptive learning of university students. The elements of network planning are briefly presented, the use of adaptive learning methods in the educational process is described. The learning process in the university is considered, and the possibilities of describing it using the formalism of network planning within some discipline are analyzed. The developed technique for assessing the performance of tasks is given. The process of interaction between a teacher and a student in the learning process is described in terms of assessing the sequence of this interaction and the parameters of the proposed algorithm. The developed model of the discipline in the form of a linear sequence of actions for the study of the discipline is presented. To reflect the efforts made to obtain a learning outcome, a graphical representation of the discipline's network model is given. The results of the use of network graphics in the educational process within one discipline are presented. The formulas used to assess the student when using this technique are described. Several variants of passing the academic discipline by a student are considered, analytical data obtained by comparing these variants are presented. A computer program designed to support the developed technique is presented. The results of using the proposed methodology for assessing the study of a discipline by a university student are analyzed. The study of the methodology presented in the article can be useful for both university teachers and students.\",\"PeriodicalId\":45270,\"journal\":{\"name\":\"Informatics in Education\",\"volume\":\"52 1\",\"pages\":\"45-56\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2020-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informatics in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32517/0234-0453-2020-35-8-45-56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32517/0234-0453-2020-35-8-45-56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Network planning methodology in the problem of adaptive learning of university students
The article proposes a methodology of network planning in the problem of adaptive learning of university students. The elements of network planning are briefly presented, the use of adaptive learning methods in the educational process is described. The learning process in the university is considered, and the possibilities of describing it using the formalism of network planning within some discipline are analyzed. The developed technique for assessing the performance of tasks is given. The process of interaction between a teacher and a student in the learning process is described in terms of assessing the sequence of this interaction and the parameters of the proposed algorithm. The developed model of the discipline in the form of a linear sequence of actions for the study of the discipline is presented. To reflect the efforts made to obtain a learning outcome, a graphical representation of the discipline's network model is given. The results of the use of network graphics in the educational process within one discipline are presented. The formulas used to assess the student when using this technique are described. Several variants of passing the academic discipline by a student are considered, analytical data obtained by comparing these variants are presented. A computer program designed to support the developed technique is presented. The results of using the proposed methodology for assessing the study of a discipline by a university student are analyzed. The study of the methodology presented in the article can be useful for both university teachers and students.
期刊介绍:
INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.