基于Canvas网络学习管理系统的日语翻转课堂知识获取

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS EAI Endorsed Transactions on Scalable Information Systems Pub Date : 2023-08-18 DOI:10.4108/eetsis.3750
Wanruo Shi, Yu Zhang
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引用次数: 0

摘要

自2010年以来,翻转课堂和基于canvas的在线学习空间得到了高校的广泛认可,改变了传统的中文学习空间。目的:为了确保学生有效地学习,必须应用学习管理系统。整合教室空间和电子学习管理系统的问题给了学生自由和灵活地管理他们放学后的时间。方法:本研究采用问卷调查、访谈、课堂观察等方法对日语技能进行学习,并在本学期的学习周期中,从实验组和对照组中选取学科和条件相近的2名学生进行学习改革实验。结果:通过对比实验课程和辅导课的特点和效果,设计和开发出适合的日语课程,并对Canvas网络在日语课程中的应用提出了建设性的建议。结论:在日语基础专业教学中运用翻转教学法和结构化e-learning方法可以提高学生的学习成绩和合作意识。
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Japanese Flipped Classroom Knowledge Acquisition Based on Canvas Web-Based Learning Management System
INTRODUCTION: Since 2010, flipped classrooms and Canvas-based online learning spaces have been widely recognized by colleges and universities, changing the traditional Chinese learning space. OBJECTIVES: To ensure that students learn effectively, learning management systems must be applied. The issue of integrating classroom space and electronic learning management systems gives students the freedom and flexibility to manage their time after school. METHODS: In this study, Japanese language skills were learned through questionnaires, interviews, and classroom observations, and two students with similar disciplines and conditions were selected from the experimental and control categories for a learning reform experiment during the semester's learning cycle. RESULTS: By comparing the characteristics and effectiveness of the experimental and tutorial courses, an appropriate Japanese language course was designed and developed, and some constructive suggestions were made for the application of the Canvas network to Japanese language courses. CONCLUSION: The use of flipped teaching methods and structured e-learning methods in the education of basic Japanese language majors can improve students' academic performance and sense of cooperation.
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
期刊最新文献
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