J. Melnikova, Aleksandra Batuchina, J. Zaščerinska, A. Ahrens
{"title":"Learning Experience Platforms in German and Lithuanian K12 Schools: Case Study Analysis","authors":"J. Melnikova, Aleksandra Batuchina, J. Zaščerinska, A. Ahrens","doi":"10.1109/IIPhDW54739.2023.10124407","DOIUrl":null,"url":null,"abstract":"The article is focused on the micro level of education (i.e. the teaching / learning process) and the digital learning platforms used in it. The platforms that provide the learning content and are equipped with analytical tools and are able to provide guidance to the participants in the educational process by means of artificial intelligence are referred to as Learning Experience Platforms within the framework of the research. In the educational practice of two countries learning experience platforms Bettermarks and Eduten Playground have been chosen for case study analysis. Data collection methods: analysis of open sources and interviews with users (teachers). These platforms allow learners to personalize what they are learning, how they are learning and when / where they choose to learn. Through such platforms, participants in the learning process can identify specific skills or knowledge gaps by accessing an analysis of their teaching-learning activities and use suggestions for action to improve their achievement. The article presents the empiric information on the benefits of these platforms in the teaching/learning practice as well challenges for their effective use. Research findings have pedagogical value for designing of engineering education.","PeriodicalId":396821,"journal":{"name":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Interdisciplinary PhD Workshop (IIPhDW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIPhDW54739.2023.10124407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The article is focused on the micro level of education (i.e. the teaching / learning process) and the digital learning platforms used in it. The platforms that provide the learning content and are equipped with analytical tools and are able to provide guidance to the participants in the educational process by means of artificial intelligence are referred to as Learning Experience Platforms within the framework of the research. In the educational practice of two countries learning experience platforms Bettermarks and Eduten Playground have been chosen for case study analysis. Data collection methods: analysis of open sources and interviews with users (teachers). These platforms allow learners to personalize what they are learning, how they are learning and when / where they choose to learn. Through such platforms, participants in the learning process can identify specific skills or knowledge gaps by accessing an analysis of their teaching-learning activities and use suggestions for action to improve their achievement. The article presents the empiric information on the benefits of these platforms in the teaching/learning practice as well challenges for their effective use. Research findings have pedagogical value for designing of engineering education.