{"title":"Measuring the achievements of student for creating the individual training schedule in the electronic environment","authors":"M. Anikieva","doi":"10.32517/0234-0453-2020-35-4-46-52","DOIUrl":null,"url":null,"abstract":"The article is devoted to the automation of the educational process in terms of measuring the achievements of student in electronic training systems (EOS) to solve the problems of creating an individual training schedule. Psychological and pedagogical concepts used for evaluation of learning material acquisition are considered. It has been found that the approaches used to measure the achievements of students are not suitable for the electronic environment. In order to build an individual schedule for studying materials in the educational discipline in the EOS, it is proposed to measure the amount of work done by the student. To achieve this goal, a scale developed on the basis of the structure of its activity of the trainee in the process of achieving the objectives of the training is proposed. Five steps are highlighted in the achievement of the learning goal: 1) mastering the conceptual framework, 2) assimilation of knowledge of a way of actions, 3) formation of ability, 4) formation of skill, 5) formation of ability to solve non-standard problems. Considering the obtained stages of formation of ability to carry out studied activities as levels of mastery of educational material, a scale of levels of mastery is obtained. The types of tasks in LMS Moodle are given, which can be used to monitor the achievement of the selected levels of learning material. This scale can be used to calculate the labour intensity of the student’s work during the mastering of educational material, to plan the curriculum, to form an individual training schedule.","PeriodicalId":45270,"journal":{"name":"Informatics in Education","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2020-07-04","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/10.32517/0234-0453-2020-35-4-46-52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
The article is devoted to the automation of the educational process in terms of measuring the achievements of student in electronic training systems (EOS) to solve the problems of creating an individual training schedule. Psychological and pedagogical concepts used for evaluation of learning material acquisition are considered. It has been found that the approaches used to measure the achievements of students are not suitable for the electronic environment. In order to build an individual schedule for studying materials in the educational discipline in the EOS, it is proposed to measure the amount of work done by the student. To achieve this goal, a scale developed on the basis of the structure of its activity of the trainee in the process of achieving the objectives of the training is proposed. Five steps are highlighted in the achievement of the learning goal: 1) mastering the conceptual framework, 2) assimilation of knowledge of a way of actions, 3) formation of ability, 4) formation of skill, 5) formation of ability to solve non-standard problems. Considering the obtained stages of formation of ability to carry out studied activities as levels of mastery of educational material, a scale of levels of mastery is obtained. The types of tasks in LMS Moodle are given, which can be used to monitor the achievement of the selected levels of learning material. This scale can be used to calculate the labour intensity of the student’s work during the mastering of educational material, to plan the curriculum, to form an individual training schedule.
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.