{"title":"关联规则挖掘和可视化入门编程课程活动","authors":"M. Matetić, Marija Brkic Bakaric, Sabina Sisovic","doi":"10.1145/2812428.2812438","DOIUrl":null,"url":null,"abstract":"In introductory programming courses instructors usually experiment by introducing new activities based on new technologies in order to promote learning and achievement. This paper presents a case study from the Department of Informatics at the University of Rijeka where a blended course Programming 2 offers new supportive activities to students. The work gives objective evaluation of these activities implementing data mining on Moodle log data using the Apriori method and interactive visualization.","PeriodicalId":316788,"journal":{"name":"International Conference on Computer Systems and Technologies","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Association rule mining and visualization of introductory programming course activities\",\"authors\":\"M. Matetić, Marija Brkic Bakaric, Sabina Sisovic\",\"doi\":\"10.1145/2812428.2812438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In introductory programming courses instructors usually experiment by introducing new activities based on new technologies in order to promote learning and achievement. This paper presents a case study from the Department of Informatics at the University of Rijeka where a blended course Programming 2 offers new supportive activities to students. The work gives objective evaluation of these activities implementing data mining on Moodle log data using the Apriori method and interactive visualization.\",\"PeriodicalId\":316788,\"journal\":{\"name\":\"International Conference on Computer Systems and Technologies\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Systems and Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2812428.2812438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2812428.2812438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Association rule mining and visualization of introductory programming course activities
In introductory programming courses instructors usually experiment by introducing new activities based on new technologies in order to promote learning and achievement. This paper presents a case study from the Department of Informatics at the University of Rijeka where a blended course Programming 2 offers new supportive activities to students. The work gives objective evaluation of these activities implementing data mining on Moodle log data using the Apriori method and interactive visualization.
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