在线学习行为分析在高中信息技术翻转课堂教学中的应用研究
发布时间：2018-07-31 06:50
【摘要】：随着教育信息化的快速发展以及各种教育服务平台越来越成熟,因此基于学习者的网络学习数据统计分析为各级教育教学工作者提供教育教学决策的参考信息和为支持学习者的高效自主学习方面有重要意义。利用各种网络学习系统或学习平台存储的学习者的学习数据,通过学习分析技术和统计分析方法及时了解学习者的学习进度和学习内容的掌握情况,并为学生的自主学习提供个性化的引导和帮助,使其达到较高的学习效果。本文从学生学习行为数据分析入手根据分析结果为学生的学习和教师的教学提供对应的学习和教学帮助策略,以中学信息技术课程为实验课程,利用翻转课程的课内翻转教学方式结合实验学校信息技术课程的教学目标开展教学实践,并对学习者学习过程的相关学习数据进行记录分析,针对不同的分析结果结合翻转课堂的教学和学习方式设计对应的反馈策略,为学习者提供有针对性的自主学习反馈和协助,为教师顺利的开展翻转课堂教学提供参考和帮助。本文首先对学生的学习环境和学生信息技术基础知识和技能方面的学习状况进行了解和分析,并从两个方面对学生的在线学行为进行分类。课前将课内所需的帮助性学习材料上传到moodle平台,课中开始将学习任务发放下去,学生利用平台的学习资源自主学习完成接收的学习任务。借助学习平台的记录和教师的观察记录获取学生学习过程中的学习行为数据,学习过程中根据学生的学习表现调整后续的教学内容和安排教学活动。然后利用Spss统计分析方法的功能对获取到的所有学习数据采用相关分析方法对各学习行为数据进行显著性分析,得出学生学习过程中的相关学习行为与模块测验成绩之间是否存在显著性的相关关系。通过对大量的学习行为数据分析,总结得出不同的学习行为之间与模块学习测验成绩存在不同的显著性关系。根据分析结论设计对应的教学和学习策略,帮助老师在翻转课堂教学中根据学生学习过程中的每个学习环节出及时协助和指导学习困难的学生,同时为学生的自主学习过程提供实时的警示和支持策略促进学生更好的学习。
[Abstract]:With the rapid development of educational informatization and the maturity of various educational service platforms, Therefore, it is of great significance for learners to provide reference information for educational and teaching decision making and to support learners' autonomous learning. Learning data of learners stored in various web-based learning systems or learning platforms, and timely understanding of learners' learning progress and learning content through learning analysis techniques and statistical analysis methods, It also provides individualized guidance and help for students' autonomous learning to achieve higher learning effect. Based on the analysis of students' learning behavior data, this paper provides corresponding learning and teaching assistance strategies for students' learning and teachers' teaching, and takes the information technology course of middle school as the experimental course. Using the method of flipping in class and combining the teaching goal of information technology course in experimental school, the author carries out the teaching practice, and records and analyzes the relevant learning data of the learner's learning process. According to different analysis results, the corresponding feedback strategies are designed in combination with the teaching and learning methods of flipping classroom, which can provide targeted autonomous learning feedback and assistance for learners, and provide reference and help for teachers to carry out flipping classroom teaching smoothly. This paper first analyzes the learning environment of students and the basic knowledge and skills of information technology, and classifies students' online learning behavior from two aspects. The helpful learning materials needed in the class are uploaded to the moodle platform before class, and the learning tasks are distributed in the class. The students use the learning resources of the platform to learn independently to complete the received learning tasks. With the help of the record of the learning platform and the observation record of the teacher, the data of the learning behavior of the students in the learning process are obtained, and the subsequent teaching contents and teaching activities are adjusted according to the students' learning performance during the learning process. Then we use the function of Spss statistical analysis method to analyze all the learning data obtained by using the correlation analysis method to analyze the significance of each learning behavior data. It is concluded that there is a significant correlation between the relevant learning behavior and the performance of the module test. Through the analysis of a large number of learning behavior data, it is concluded that there are different significant relationships between different learning behaviors and the results of modular learning tests. According to the conclusion of the analysis, the corresponding teaching and learning strategies are designed to help the teacher to give timely assistance and guidance to the students with learning difficulties according to each learning link of the students' learning process in the flipped classroom teaching. At the same time, it provides real-time warning and support strategies for students' autonomous learning process to promote students' better learning.
【学位授予单位】：四川师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G633.67;G434
本文编号：2154773
[Abstract]:With the rapid development of educational informatization and the maturity of various educational service platforms, Therefore, it is of great significance for learners to provide reference information for educational and teaching decision making and to support learners' autonomous learning. Learning data of learners stored in various web-based learning systems or learning platforms, and timely understanding of learners' learning progress and learning content through learning analysis techniques and statistical analysis methods, It also provides individualized guidance and help for students' autonomous learning to achieve higher learning effect. Based on the analysis of students' learning behavior data, this paper provides corresponding learning and teaching assistance strategies for students' learning and teachers' teaching, and takes the information technology course of middle school as the experimental course. Using the method of flipping in class and combining the teaching goal of information technology course in experimental school, the author carries out the teaching practice, and records and analyzes the relevant learning data of the learner's learning process. According to different analysis results, the corresponding feedback strategies are designed in combination with the teaching and learning methods of flipping classroom, which can provide targeted autonomous learning feedback and assistance for learners, and provide reference and help for teachers to carry out flipping classroom teaching smoothly. This paper first analyzes the learning environment of students and the basic knowledge and skills of information technology, and classifies students' online learning behavior from two aspects. The helpful learning materials needed in the class are uploaded to the moodle platform before class, and the learning tasks are distributed in the class. The students use the learning resources of the platform to learn independently to complete the received learning tasks. With the help of the record of the learning platform and the observation record of the teacher, the data of the learning behavior of the students in the learning process are obtained, and the subsequent teaching contents and teaching activities are adjusted according to the students' learning performance during the learning process. Then we use the function of Spss statistical analysis method to analyze all the learning data obtained by using the correlation analysis method to analyze the significance of each learning behavior data. It is concluded that there is a significant correlation between the relevant learning behavior and the performance of the module test. Through the analysis of a large number of learning behavior data, it is concluded that there are different significant relationships between different learning behaviors and the results of modular learning tests. According to the conclusion of the analysis, the corresponding teaching and learning strategies are designed to help the teacher to give timely assistance and guidance to the students with learning difficulties according to each learning link of the students' learning process in the flipped classroom teaching. At the same time, it provides real-time warning and support strategies for students' autonomous learning process to promote students' better learning.
【学位授予单位】：四川师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G633.67;G434
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