{"title":"打开学生文本学习过程的黑匣子:过程挖掘视角","authors":"Amélie Rogiers, Emmelien Merchie, H. Keer","doi":"10.14786/FLR.V8I3.527","DOIUrl":null,"url":null,"abstract":"The current study uncovers secondary school students’ actual use of text-learning strategies \nduring an individual learning task by means of a concurrent self-reported thinking aloud \nprocedure. Think-aloud data of 51 participants with different learning strategy profiles, \ndistinguished based on a retrospective self-report questionnaire (i.e., 15 integrated strategy \nusers, 15 information organizers, 10 mental learners, and 11 limited strategy users), were \nanalysed by means of educational process mining. Both the frequency of students’ strategy \nuse, as well as the temporal patterns between these strategies were studied. The process \nmining results clearly demonstrated differences between the strategy profiles with respect to \nthe frequency of their applied strategies, as well as concerning the temporal sequences \nwherein strategies were applied throughout the course of students’ text-learning process. The \nadded value of combining both retrospective and concurrent self-report measures of students’ \nstrategies as well as conducting process mining analysis is discussed.","PeriodicalId":37057,"journal":{"name":"Frontline Learning Research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.14786/FLR.V8I3.527","citationCount":"16","resultStr":"{\"title\":\"Opening the black box of students’ text-learning processes: A process mining perspective\",\"authors\":\"Amélie Rogiers, Emmelien Merchie, H. Keer\",\"doi\":\"10.14786/FLR.V8I3.527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The current study uncovers secondary school students’ actual use of text-learning strategies \\nduring an individual learning task by means of a concurrent self-reported thinking aloud \\nprocedure. Think-aloud data of 51 participants with different learning strategy profiles, \\ndistinguished based on a retrospective self-report questionnaire (i.e., 15 integrated strategy \\nusers, 15 information organizers, 10 mental learners, and 11 limited strategy users), were \\nanalysed by means of educational process mining. Both the frequency of students’ strategy \\nuse, as well as the temporal patterns between these strategies were studied. The process \\nmining results clearly demonstrated differences between the strategy profiles with respect to \\nthe frequency of their applied strategies, as well as concerning the temporal sequences \\nwherein strategies were applied throughout the course of students’ text-learning process. The \\nadded value of combining both retrospective and concurrent self-report measures of students’ \\nstrategies as well as conducting process mining analysis is discussed.\",\"PeriodicalId\":37057,\"journal\":{\"name\":\"Frontline Learning Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.14786/FLR.V8I3.527\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontline Learning Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14786/FLR.V8I3.527\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontline Learning Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14786/FLR.V8I3.527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Opening the black box of students’ text-learning processes: A process mining perspective
The current study uncovers secondary school students’ actual use of text-learning strategies
during an individual learning task by means of a concurrent self-reported thinking aloud
procedure. Think-aloud data of 51 participants with different learning strategy profiles,
distinguished based on a retrospective self-report questionnaire (i.e., 15 integrated strategy
users, 15 information organizers, 10 mental learners, and 11 limited strategy users), were
analysed by means of educational process mining. Both the frequency of students’ strategy
use, as well as the temporal patterns between these strategies were studied. The process
mining results clearly demonstrated differences between the strategy profiles with respect to
the frequency of their applied strategies, as well as concerning the temporal sequences
wherein strategies were applied throughout the course of students’ text-learning process. The
added value of combining both retrospective and concurrent self-report measures of students’
strategies as well as conducting process mining analysis is discussed.