支持软件工程师个人培训路径的模型

2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT) Pub Date : 2021-09-21 DOI:10.1109/aict52120.2021.9628900

Ekaterina Polibina

{"title":"支持软件工程师个人培训路径的模型","authors":"Ekaterina Polibina","doi":"10.1109/aict52120.2021.9628900","DOIUrl":null,"url":null,"abstract":"The article discusses the features of building an individual learning pathway in intelligent training systems through the competence-based approach. The model proposed in the article makes it possible to increase the efficiency of training specialists in software engineering by choosing the optimal training pathway based on the reference model. It also introduces the method for formalizing the assessment of student competencies, where the initial data are data on the most popular technologies and programming tools in the IT labor market, their ranking, as well as the results of testing students.","PeriodicalId":375013,"journal":{"name":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","volume":"52 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model of Supporting an Individual Training Pathway for Software Engineers\",\"authors\":\"Ekaterina Polibina\",\"doi\":\"10.1109/aict52120.2021.9628900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses the features of building an individual learning pathway in intelligent training systems through the competence-based approach. The model proposed in the article makes it possible to increase the efficiency of training specialists in software engineering by choosing the optimal training pathway based on the reference model. It also introduces the method for formalizing the assessment of student competencies, where the initial data are data on the most popular technologies and programming tools in the IT labor market, their ranking, as well as the results of testing students.\",\"PeriodicalId\":375013,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"volume\":\"52 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/aict52120.2021.9628900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aict52120.2021.9628900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文讨论了通过基于能力的方法在智能训练系统中构建个体学习路径的特点。本文提出的模型可以在参考模型的基础上选择最优的培训路径，从而提高软件工程专业人才的培训效率。它还介绍了形式化学生能力评估的方法，其中初始数据是It劳动力市场中最流行的技术和编程工具的数据，它们的排名以及测试学生的结果。

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

Model of Supporting an Individual Training Pathway for Software Engineers

The article discusses the features of building an individual learning pathway in intelligent training systems through the competence-based approach. The model proposed in the article makes it possible to increase the efficiency of training specialists in software engineering by choosing the optimal training pathway based on the reference model. It also introduces the method for formalizing the assessment of student competencies, where the initial data are data on the most popular technologies and programming tools in the IT labor market, their ranking, as well as the results of testing students.

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

2021 IEEE 4th International Conference on Advanced Information and Communication Technologies (AICT)

自引率

0.00%

发文量