{"title":"猜想映射,以支持职业教育的成人学习者在开放式任务","authors":"Ruth Boelens, Bram De Wever, S. McKenney","doi":"10.1080/10508406.2020.1759605","DOIUrl":null,"url":null,"abstract":"ABSTRACT Background This case reports on a teacher education course that aimed to support adult learners with a vocational education background to accomplish open-ended tasks. Conjecture mapping was used to identify the most salient design features, and to test if, how, and why these course features supported learners. Methods: Inspired by ethnographic approaches, sustained engagement and multiple data sources were used to explain the effects of the course design on participants’ behavior and perceptions: student and teacher interviews, observations, and artifacts. Findings: The results reveal that almost all of the proposed design features stimulated the participants toward the intended enactment processes, which in turn yielded the intended learning outcomes. For instance, worked examples (i.e., design feature) not only engendered the production of artifacts that meet high standards (i.e., enactment process) because they clarify the task requirements, but also fostered a safe structure (i.e., enactment process) by providing an overall picture of the task. Contribution: The conjecture map resulting from this study provides a theoretical frame to describe, explain, and predict how specific course design features support vocationally educated adult learners (VEAL) in open-ended tasks, and assists those who aim to implement open-ended tasks in similar contexts.","PeriodicalId":48043,"journal":{"name":"Journal of the Learning Sciences","volume":"37 1","pages":"430 - 470"},"PeriodicalIF":3.0000,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Conjecture mapping to support vocationally educated adult learners in open-ended tasks\",\"authors\":\"Ruth Boelens, Bram De Wever, S. McKenney\",\"doi\":\"10.1080/10508406.2020.1759605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Background This case reports on a teacher education course that aimed to support adult learners with a vocational education background to accomplish open-ended tasks. Conjecture mapping was used to identify the most salient design features, and to test if, how, and why these course features supported learners. Methods: Inspired by ethnographic approaches, sustained engagement and multiple data sources were used to explain the effects of the course design on participants’ behavior and perceptions: student and teacher interviews, observations, and artifacts. Findings: The results reveal that almost all of the proposed design features stimulated the participants toward the intended enactment processes, which in turn yielded the intended learning outcomes. For instance, worked examples (i.e., design feature) not only engendered the production of artifacts that meet high standards (i.e., enactment process) because they clarify the task requirements, but also fostered a safe structure (i.e., enactment process) by providing an overall picture of the task. Contribution: The conjecture map resulting from this study provides a theoretical frame to describe, explain, and predict how specific course design features support vocationally educated adult learners (VEAL) in open-ended tasks, and assists those who aim to implement open-ended tasks in similar contexts.\",\"PeriodicalId\":48043,\"journal\":{\"name\":\"Journal of the Learning Sciences\",\"volume\":\"37 1\",\"pages\":\"430 - 470\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2020-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Learning Sciences\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://doi.org/10.1080/10508406.2020.1759605\",\"RegionNum\":1,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Learning Sciences","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/10508406.2020.1759605","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Conjecture mapping to support vocationally educated adult learners in open-ended tasks
ABSTRACT Background This case reports on a teacher education course that aimed to support adult learners with a vocational education background to accomplish open-ended tasks. Conjecture mapping was used to identify the most salient design features, and to test if, how, and why these course features supported learners. Methods: Inspired by ethnographic approaches, sustained engagement and multiple data sources were used to explain the effects of the course design on participants’ behavior and perceptions: student and teacher interviews, observations, and artifacts. Findings: The results reveal that almost all of the proposed design features stimulated the participants toward the intended enactment processes, which in turn yielded the intended learning outcomes. For instance, worked examples (i.e., design feature) not only engendered the production of artifacts that meet high standards (i.e., enactment process) because they clarify the task requirements, but also fostered a safe structure (i.e., enactment process) by providing an overall picture of the task. Contribution: The conjecture map resulting from this study provides a theoretical frame to describe, explain, and predict how specific course design features support vocationally educated adult learners (VEAL) in open-ended tasks, and assists those who aim to implement open-ended tasks in similar contexts.
期刊介绍:
Journal of the Learning Sciences (JLS) is one of the two official journals of the International Society of the Learning Sciences ( www.isls.org). JLS provides a multidisciplinary forum for research on education and learning that informs theories of how people learn and the design of learning environments. It publishes research that elucidates processes of learning, and the ways in which technologies, instructional practices, and learning environments can be designed to support learning in different contexts. JLS articles draw on theoretical frameworks from such diverse fields as cognitive science, sociocultural theory, educational psychology, computer science, and anthropology. Submissions are not limited to any particular research method, but must be based on rigorous analyses that present new insights into how people learn and/or how learning can be supported and enhanced. Successful submissions should position their argument within extant literature in the learning sciences. They should reflect the core practices and foci that have defined the learning sciences as a field: privileging design in methodology and pedagogy; emphasizing interdisciplinarity and methodological innovation; grounding research in real-world contexts; answering questions about learning process and mechanism, alongside outcomes; pursuing technological and pedagogical innovation; and maintaining a strong connection between research and practice.