{"title":"在技术和职业教育中培养学生案例处理能力的增强现实促进问题-提示-互动-评价方法","authors":"Chun-Chun Chang","doi":"10.1111/jcal.13063","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Cultivating students' problem-solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>In conventional instruction, when teachers present questions of real cases to students, most of the class time is spent on the demonstration of relevant techniques and prompts. Meanwhile, trainers in conventional classrooms often have to guide multiple students simultaneously, making it challenging to provide individual guidance. Therefore, the present study proposed an AR (Augmented Reality)-based QPIE training mode.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>To show the effectiveness of the proposed mode, this study recruited two classes of students from a technological university as the participants, and conducted an experiment using a unit of a professional training course. One class of 22 learners adopted the AR-QPIE training mode, while the other class of 22 learners used the conventional QPIE (C-QPIE) training mode.</p>\n </section>\n \n <section>\n \n <h3> Results and Conclusions</h3>\n \n <p>The results revealed that the AR-QPIE training mode enhanced learners' learning achievement, self-confidence, and several dimensions of learning perceptions more than the C-QPIE training mode. Besides, in terms of the evaluation of case-handling performance, the AR-QPIE training mode could also significantly enhance learners' memory, comprehension, judgement, and calculation abilities in comparison with the C-QPIE training mode. Yet, no significant differences in the application abilities could be found between the two groups. The proposed training mode of this study could train learners' case-handling performance, and improve their self-confidence in the workspace.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"40 6","pages":"3187-3200"},"PeriodicalIF":5.1000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An augmented reality-facilitated question-prompt-interaction-evaluation approach to fostering students' case-handling competence in technical and vocational education\",\"authors\":\"Chun-Chun Chang\",\"doi\":\"10.1111/jcal.13063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Cultivating students' problem-solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>In conventional instruction, when teachers present questions of real cases to students, most of the class time is spent on the demonstration of relevant techniques and prompts. Meanwhile, trainers in conventional classrooms often have to guide multiple students simultaneously, making it challenging to provide individual guidance. Therefore, the present study proposed an AR (Augmented Reality)-based QPIE training mode.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Method</h3>\\n \\n <p>To show the effectiveness of the proposed mode, this study recruited two classes of students from a technological university as the participants, and conducted an experiment using a unit of a professional training course. One class of 22 learners adopted the AR-QPIE training mode, while the other class of 22 learners used the conventional QPIE (C-QPIE) training mode.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results and Conclusions</h3>\\n \\n <p>The results revealed that the AR-QPIE training mode enhanced learners' learning achievement, self-confidence, and several dimensions of learning perceptions more than the C-QPIE training mode. Besides, in terms of the evaluation of case-handling performance, the AR-QPIE training mode could also significantly enhance learners' memory, comprehension, judgement, and calculation abilities in comparison with the C-QPIE training mode. Yet, no significant differences in the application abilities could be found between the two groups. The proposed training mode of this study could train learners' case-handling performance, and improve their self-confidence in the workspace.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"40 6\",\"pages\":\"3187-3200\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Assisted Learning\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jcal.13063\",\"RegionNum\":2,\"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 Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.13063","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
An augmented reality-facilitated question-prompt-interaction-evaluation approach to fostering students' case-handling competence in technical and vocational education
Background
Cultivating students' problem-solving knowledge and skills in the workspace has been regarded as a primary goal in technical and vocational education. To this end, students are usually guided to complete the learning of workspace knowledge and skills by following the question, prompt, interaction and evaluation (QPIE) procedure.
Objective
In conventional instruction, when teachers present questions of real cases to students, most of the class time is spent on the demonstration of relevant techniques and prompts. Meanwhile, trainers in conventional classrooms often have to guide multiple students simultaneously, making it challenging to provide individual guidance. Therefore, the present study proposed an AR (Augmented Reality)-based QPIE training mode.
Method
To show the effectiveness of the proposed mode, this study recruited two classes of students from a technological university as the participants, and conducted an experiment using a unit of a professional training course. One class of 22 learners adopted the AR-QPIE training mode, while the other class of 22 learners used the conventional QPIE (C-QPIE) training mode.
Results and Conclusions
The results revealed that the AR-QPIE training mode enhanced learners' learning achievement, self-confidence, and several dimensions of learning perceptions more than the C-QPIE training mode. Besides, in terms of the evaluation of case-handling performance, the AR-QPIE training mode could also significantly enhance learners' memory, comprehension, judgement, and calculation abilities in comparison with the C-QPIE training mode. Yet, no significant differences in the application abilities could be found between the two groups. The proposed training mode of this study could train learners' case-handling performance, and improve their self-confidence in the workspace.
期刊介绍:
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope