在线辅导系统“Kak Eto Rabotaet:算法”

Q4 Materials Science

Radioelektronika, Nanosistemy, Informacionnye Tehnologii Pub Date : 2023-05-16 DOI:10.17587/it.29.267-276

M. Denisov, O. Sychev, G. Terekhov

{"title":"在线辅导系统“Kak Eto Rabotaet:算法”","authors":"M. Denisov, O. Sychev, G. Terekhov","doi":"10.17587/it.29.267-276","DOIUrl":null,"url":null,"abstract":"The article describes the features and architecture of intelligent online tutor \"Kak eto rabotaet: Algoritmy\", which is based on modelling subject-domain concepts on the comprehension level of Bloom's taxonomy. It is designed for learning basic algorithmic structures — sequences, selection statements, and loops — using the task of building an execution trace of the given algorithm. The tutor analyzes the student's solution step by step and displays explanatory messages for every error right after it happens; the error messages include the violated domain rules and their consequences in the specific situation. It can also hint the next correct step with textual explanation of why it is correct. It allows reliable learning of new concepts without control of each exercise from the human teachers which significantly increases the number of exercises learners can perform during a course. A control-flow diagram of the algorithm can be visualized; when the student makes an error, it is displayed with a red line on the diagram. The tutor is based on the formal model of subject domain implement using Apache Jena rules over RDF graph. Teachers can create learning problems using block-based interface and them, receiving links that can be sent to their students. Students can also use the tutor on their own to explore examples of interest to them.","PeriodicalId":37476,"journal":{"name":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"nline Tutoring System \\\"Kak Eto Rabotaet: Algoritmy\\\"\",\"authors\":\"M. Denisov, O. Sychev, G. Terekhov\",\"doi\":\"10.17587/it.29.267-276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes the features and architecture of intelligent online tutor \\\"Kak eto rabotaet: Algoritmy\\\", which is based on modelling subject-domain concepts on the comprehension level of Bloom's taxonomy. It is designed for learning basic algorithmic structures — sequences, selection statements, and loops — using the task of building an execution trace of the given algorithm. The tutor analyzes the student's solution step by step and displays explanatory messages for every error right after it happens; the error messages include the violated domain rules and their consequences in the specific situation. It can also hint the next correct step with textual explanation of why it is correct. It allows reliable learning of new concepts without control of each exercise from the human teachers which significantly increases the number of exercises learners can perform during a course. A control-flow diagram of the algorithm can be visualized; when the student makes an error, it is displayed with a red line on the diagram. The tutor is based on the formal model of subject domain implement using Apache Jena rules over RDF graph. Teachers can create learning problems using block-based interface and them, receiving links that can be sent to their students. Students can also use the tutor on their own to explore examples of interest to them.\",\"PeriodicalId\":37476,\"journal\":{\"name\":\"Radioelektronika, Nanosistemy, Informacionnye Tehnologii\",\"volume\":\"48 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-16\",\"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.29.267-276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Materials Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radioelektronika, Nanosistemy, Informacionnye Tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/it.29.267-276","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

摘要

本文描述了基于Bloom分类法理解层次上对学科领域概念建模的智能在线辅导“Kak eto协作算法”的特点和体系结构。它被设计用于学习基本的算法结构——序列、选择语句和循环——使用构建给定算法的执行跟踪的任务。导师一步一步地分析学生的解决方案，并在每个错误发生后立即显示解释性信息;错误消息包括违反的域规则及其在特定情况下的后果。它也可以暗示下一个正确的步骤，文本解释为什么它是正确的。它允许可靠地学习新概念，而无需控制人类教师的每个练习，这大大增加了学习者在课程中可以执行的练习数量。该算法的控制流程图可以可视化;当学生犯了一个错误，它显示在图表上的红线。该导师基于主题领域的形式化模型，使用Apache Jena规则在RDF图上实现。教师可以使用基于块的界面和它们创建学习问题，接收可以发送给学生的链接。学生也可以自己使用导师来探索他们感兴趣的例子。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

nline Tutoring System "Kak Eto Rabotaet: Algoritmy"

The article describes the features and architecture of intelligent online tutor "Kak eto rabotaet: Algoritmy", which is based on modelling subject-domain concepts on the comprehension level of Bloom's taxonomy. It is designed for learning basic algorithmic structures — sequences, selection statements, and loops — using the task of building an execution trace of the given algorithm. The tutor analyzes the student's solution step by step and displays explanatory messages for every error right after it happens; the error messages include the violated domain rules and their consequences in the specific situation. It can also hint the next correct step with textual explanation of why it is correct. It allows reliable learning of new concepts without control of each exercise from the human teachers which significantly increases the number of exercises learners can perform during a course. A control-flow diagram of the algorithm can be visualized; when the student makes an error, it is displayed with a red line on the diagram. The tutor is based on the formal model of subject domain implement using Apache Jena rules over RDF graph. Teachers can create learning problems using block-based interface and them, receiving links that can be sent to their students. Students can also use the tutor on their own to explore examples of interest to them.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Radioelektronika, Nanosistemy, Informacionnye Tehnologii Materials Science-Materials Science (miscellaneous)

CiteScore

0.60

自引率

0.00%

发文量

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)