学习分析技术在初中信息技术教学中的应用研究

发布时间：2017-12-28 08:00

本文关键词：学习分析技术在初中信息技术教学中的应用研究　出处：《渤海大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着全球信息化的快速发展,国内涌现出诸多学习平台,这些平台能够记录与学习者相关的行为信息,也就是“大数据”。面对着大数据的快速发展,教育者们开始设想如何才能将大数据加以利用,以优化学习过程。此时,“学习分析技术”逐渐走入人们的视野之中,人们开始试图将两者加以融合,以满足初中信息技术课程标准的根本目标,实现学生个性化发展。基于大数据背景下,利用学习分析技术进行信息挖掘与关联分析,使得教师能够预测学生的学习行为、评估学生的学习效果、发现学生学习过程中的问题,从而进行有针对性地干预,并进行有效地指导,及时调整教学策略,实现因材施教。本研究借鉴国内外专家学者的研究经验,构建学习分析模型,选取learnsite教学辅助平台,进行为期一学期的初中信息技术教学。收集与整理学生在学习过程中形成的行为数据,运用定量与定性相结合的分析方法,利用node XL分析工具,对不同模块获取到的数据加以分析,通过分析结果的反馈,干预学生的学习行为,以促进学生的个性化发展。本研究首先采用文献分析法,收集与整理国内外相关的参考文献,并对学习分析技术的研究现状进行综述,阐述相关理论依据。其次,总结初中信息技术课程的特点和教学现状,指出学习分析技术应用于初中信息技术教学中的必要性。再次,介绍learnsite教学辅助平台的实施环境,并依据前人研究成果,构建基于学习分析技术的个性化教学模型。然后,采用实验研究法,展示了一个运用学习分析技术进行教学的教学案例,将其中的学习分析过程进行详尽地描述,并通过一整个学期的对比实验,分别从教师教学效果、学生学习成绩、问卷调查结果及学生访谈内容四个方面进行分析,以此证明学习分析技术应用于初中信息技术教学是有利于学习效果的提升及优化的。最后进行研究总结,反思实验的不足之处,并对研究的进一步展开进行展望。
[Abstract]:With the rapid development of global information technology, many learning platforms have emerged in China. These platforms can record behavior information related to learners, namely big data. In the face of the rapid development of large data, educators have begun to imagine how to make use of large data to optimize the learning process. At this time, "learning analysis technology" has gradually entered into the field of vision. People began to try to integrate them to meet the basic goal of junior high school information technology curriculum standards, and to achieve personalized development of students. Based on the background of big data, analysis the analysis of data mining and association learning, so teachers can predict students' learning behavior and evaluate the learning effect of students, found that students in the learning process, so as to carry out targeted intervention, and effective guidance, timely adjustment of teaching strategies, with the realization of. This research draws lessons from domestic and foreign experts and scholars' research experience, builds learning analysis model, selects learnsite teaching aids platform, and carries out one semester's junior high school information technology teaching. The behavioral data collection and collation of students in the learning process, the analysis method of combining quantitative and qualitative analysis tools, using node XL, to get the different modules of the data analysis, through the feedback of the results, students' learning behavior intervention, to promote students' individual development. First, we use literature analysis method to collect and collate relevant references at home and abroad, and summarize the current research status of learning analysis technology, and elaborate the relevant theoretical basis. Secondly, it summarizes the characteristics and teaching status of the junior middle school information technology course, and points out the necessity of applying the learning analysis technology to the teaching of information technology in junior middle school. Thirdly, the implementation environment of the learnsite teaching assistant platform is introduced, and the personalized teaching model based on the learning analysis technology is built on the basis of the previous research results. Then, this study presents a learning analysis technology for teaching cases, the learning process analysis described in detail, and through the contrast experiment for a whole semester, respectively, from the teachers' teaching effect and students' learning achievement, the results of a questionnaire survey and interviews in four aspects in order to prove that learning analysis technology is applied in the junior middle school information technology teaching is conducive to learning and enhance the optimization effect. Finally, a summary of the research is carried out, and the shortcomings of the experiment are reflected, and the further development of the research is prospected.
【学位授予单位】：渤海大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G633.67

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