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Drivers Training based on Data from Accelerometer 基于加速度计数据的驾驶员培训
IF 0.4
International Journal of Education and Information Technologies Pub Date : 2020-05-05 DOI: 10.46300/9109.2020.14.3
M. Vlkovský
{"title":"Drivers Training based on Data from Accelerometer","authors":"M. Vlkovský","doi":"10.46300/9109.2020.14.3","DOIUrl":"https://doi.org/10.46300/9109.2020.14.3","url":null,"abstract":"In the article, the application of modern MEMS accelerometers to evaluate driver training is discussed. Data from a transport experiment with Tatra 815 on a training polygon consisting of 4 types of surfaces were used, and the driver completed 4 individual laps. The tested parameters showed statistically significant differences between selected laps and surfaces (sections) depending on the driving style and the average speed. It is clear from the evaluation of the ride that the driver is gradually improving when driving on the polygon, as assumed. However, from a certain moment the magnitude of generated shocks exceeds normatively determined values. The design part determines specific requirements on driving characteristics of a driver during a driver training.","PeriodicalId":42201,"journal":{"name":"International Journal of Education and Information Technologies","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42733177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Learning Analytics Framework for Improving Performance to Students through Educational Virtual Worlds 通过教育虚拟世界提高学生成绩的学习分析框架
IF 0.4
International Journal of Education and Information Technologies Pub Date : 2020-04-30 DOI: 10.46300/9109.2020.14.2
R. Reis, B. Marques, I. Sampaio
{"title":"Learning Analytics Framework for Improving Performance to Students through Educational Virtual Worlds","authors":"R. Reis, B. Marques, I. Sampaio","doi":"10.46300/9109.2020.14.2","DOIUrl":"https://doi.org/10.46300/9109.2020.14.2","url":null,"abstract":"This paper aims to demonstrate the ongoing work of developing a framework that will allows to improve performance to students. The framework combines use of the open source virtual worlds, the Sloodle module and a learning analytics tool, in order to facilitate the execution of the collaborative learning techniques and improved the performance to students through of analytics learning tool monitorization. This framework is still in the design phase and will later be tested in a classroom context. The target public will be students of the fifth year of basic education, with aim of improve the learning mathematics.","PeriodicalId":42201,"journal":{"name":"International Journal of Education and Information Technologies","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45071027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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