The Impact of Field-Flipped Courses on College Students' Self-Regulated Learning and Learning Performance Take a National University in Central Taiwan as an Example

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yu-Ling Chen, Shihmin Lo, Jen-Son Cheng
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引用次数: 0

Abstract

Objectives: In the past, an inherent dilemma in the education field was the difficulty in stimulating self-regulated learning. Flipped education, i.e., flipped teaching and learning, changed the teaching model, with a strategy of increasing students’ active learning during class time through a transformation of teaching and learning methods that enable students to build learning and knowledge on their own. This study investigates the impact of field-based flipped courses on college students taking up self-regulated learning and their learning performance. Methods: This study considers a national university in central Taiwan that adopts 34 field flipped teaching courses and 796 non-degree students from four colleges across all grades as the research objects, and conducts statistical analysis using descriptive statistics, t-test, ANOVA, Pearson’s correlation, and regression analysis on questionnaires to evaluate the association among variables. Findings: 1. With respect to the understanding of the uniqueness of field-based flipped teaching before and after the courses, there were differences among students in the Colleges of Education, Humanities, and Management. 2. In terms of students’ learning performance in the course pertaining to mastery over core literacy, there were differences between students of the Colleges of Education and Humanities at the beginning of the flipped-learning course. 3. There were differences among the students of Colleges of Education, Humanities, and Science and Technology in the later stage of the flipped-learning course. 4. Differences were found in the pre-test of learning performance at the grade level. 5. Self-regulated learning correlated with learning performance. 6. Field-based flipped teaching correlated with learning performance. 7. Self-regulated learning had a mediating effect on field-based flipped teaching and learning performance. Innovations: There is a little systematic discussion on the emergence and impact of flipped teaching in higher education currently in Taiwan. The authors found correlations among flipped teaching, self-regulated learning, and learning performance from the data, as well as discovered that self-regulated learning had a mediating effect on learning performance in field-based flipped teaching. Value: Making the university, when the curriculum arrangement and the development of the unique curriculum map of higher education in the future, possible to be linked with the local revitalization thinking in addition to the general curriculum, as well as being closely integrated with the local people and matters through field-flipped courses, and sustainably interacting therewith to practice university social responsibility.
田野翻转课程对大学生自主学习和学习绩效的影响——以台湾中部某国立大学为例
过去,教育领域的一个固有困境是难以激发自主学习。翻转教育,即翻转式的教与学,改变了教学模式,通过教学方法和学习方法的转变,提高学生在课堂上的主动学习,使学生能够自主构建学习和知识。本研究旨在探讨实地翻转课程对大学生自主学习及其学习绩效的影响。方法:本研究以台湾中部某国立大学34门田野翻转教学课程、4个学院各年级796名非学位学生为研究对象,采用描述性统计、t检验、方差分析、Pearson相关及回归分析等方法,对问卷进行统计分析,以评估变量间的关联。发现:1。在课程前后对实地翻转教学独特性的理解上,教育学院、人文学院和管理学院的学生存在差异。在翻转学习课程开始时,教育学院与人文学院的学生在核心素养掌握课程的学习表现上存在差异。3.教育学院、人文学院和理工学院的学生在翻转学习课程的后期阶段存在差异。4. 在年级水平的学习成绩前测中存在差异。5. 自我调节学习与学习绩效相关。6. 实地翻转教学与学习表现相关。7. 自我调节学习对现场翻转教学和学习绩效有中介作用。创新:目前台湾高等教育对于翻转教学的产生与影响,并没有系统性的讨论。作者从数据中发现了翻转教学、自我调节学习和学习绩效之间的相关性,并发现自我调节学习对基于现场的翻转教学的学习绩效具有中介作用。价值:使大学在未来的课程安排和独特的高等教育课程地图的开发中,除了普通课程之外,还可以与当地的振兴思维相联系,并通过实地翻转课程与当地的人和事紧密结合,并与之持续互动,践行大学的社会责任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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