Sabrina Ludwig, A. Rausch, V. Deutscher, Jürgen Seifried
{"title":"Problem Solving Analytics (PSA) in the Web-Based Office Simulation LUCA","authors":"Sabrina Ludwig, A. Rausch, V. Deutscher, Jürgen Seifried","doi":"10.1145/3430895.3460877","DOIUrl":null,"url":null,"abstract":"Open-ended e-learning environments allow for explorative behaviour in challenging scenarios and hence, foster problem-solving competences. The web-based office simulation LUCA (funded by the German Federal Ministry of Education and Research) addresses the domain-specific competences of students in commercial vocational education and training (VET). The office simulation provides authentic office tools such as a spreadsheet application and an ERP software to solve complex work scenarios. These scenarios are implemented via the \"LUCA Editor\" and can contain automated assistance based on evidence rules of certain behaviours (\"scaffolding\"). The real-time analysis of the resulting log files enables the analysis of individual problem-solving behaviour (\"Problem Solving Analytics\", PSA). Teachers and trainers can monitor their students' problem-solving efforts in the \"LUCA Dashboard\", where they can also provide individual assistance via a chat tool. In our contribution, the scientific foundations of PSA will be outlined, followed by a demonstration of the latest prototype of LUCA and visitors' interaction with the software. LUCA's alpha version will be released in September of this year and will be available for practitioners in vocational schools and companies.","PeriodicalId":125581,"journal":{"name":"Proceedings of the Eighth ACM Conference on Learning @ Scale","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eighth ACM Conference on Learning @ Scale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3430895.3460877","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
Open-ended e-learning environments allow for explorative behaviour in challenging scenarios and hence, foster problem-solving competences. The web-based office simulation LUCA (funded by the German Federal Ministry of Education and Research) addresses the domain-specific competences of students in commercial vocational education and training (VET). The office simulation provides authentic office tools such as a spreadsheet application and an ERP software to solve complex work scenarios. These scenarios are implemented via the "LUCA Editor" and can contain automated assistance based on evidence rules of certain behaviours ("scaffolding"). The real-time analysis of the resulting log files enables the analysis of individual problem-solving behaviour ("Problem Solving Analytics", PSA). Teachers and trainers can monitor their students' problem-solving efforts in the "LUCA Dashboard", where they can also provide individual assistance via a chat tool. In our contribution, the scientific foundations of PSA will be outlined, followed by a demonstration of the latest prototype of LUCA and visitors' interaction with the software. LUCA's alpha version will be released in September of this year and will be available for practitioners in vocational schools and companies.