教育技术学本科生数据素养模型及提升策略研究
本文选题:教育技术学本科生 + 数据素养 ; 参考:《华中师范大学》2017年硕士论文
【摘要】:随着科技的突飞猛进,信息的传播形态发生变化,数据呈现爆炸式增长,现代社会逐步走向大数据时代。时代在发展,教育就需要改革与创新,大数据背景下教育面临着多方面的机遇和挑战。教育技术学是为教育信息化的理论与实践提供支持的专门学科,对促进教育创新、推动教育信息化发展有非常重要的作用。教育技术学科的学生只有掌握扎实的专业知识与能力,并且具备较强的数据素养,才能满足时代发展的需求。基于此,本研究对教育技术学本科生数据素养问题展开研究。本研究依托华中师范大学中央高校基本科研业务费项目《云计算环境下服务资源的可信管理与调度机制研究》(NO: CCNU16A02036)、华中师范大学信息化应用自主科研项目《Web3.0技术促进网站开发课程教学模式创新的实践研究》(NO: CCNU16IT0306)等课题,采用文献研究法、访谈法、问卷调查法等,以定性与定量相结合的方式,对教育技术学本科生数据素养进行剖析与建构,以提升其数据素养,提高教育技术学科人才培养质量,具体内容如下。第一章绪论。根据研究背景以及国内外相关研究现状,提出研究问题。第二章相关研究基础。根据文献研究,首先分析与阐述数据素养的相关概念,其次对本研究中数据素养的定义进行界定,并概括其能力要素的构成,然后对教育技术学的学科特征及其本科生应该具备的知识与能力结构进行概述。第三章教育技术学本科生数据素养模型构建。根据相关研究基础,提出教育技术学本科生数据素养的概念,然后借助访谈法和开放式问卷调查法,收集、归纳反映教育技术学本科生数据素养能力特征的项目,并设计与编制调查问卷。结合调查数据分析所得出的教育技术学本科生数据素养能力结构框架、各项能力之间的相互关系、能力形成过程中的影响因素,以及最终要达到的目标,从背景层、能力层、目标层三个层次,构建出教育技术学本科生数据素养模型。第四章根据构建的模型、访谈情况以及数据分析的结果,并结合学校的实际情况,提出教育技术学本科生数据素养提升策略。第五章研究结论与展望。总结整篇文章的研究成果与创新点,以及研究存在的不足之处,对后续进一步的研究与发展方向做出展望。
[Abstract]:With the rapid development of science and technology, the dissemination of information changes, the data show explosive growth, and the modern society gradually moves to big data era. With the development of the times, education needs reform and innovation. Under the background of big data, education is facing many opportunities and challenges. Educational technology is a special subject which provides support for the theory and practice of educational informatization. It plays a very important role in promoting educational innovation and promoting the development of educational informatization. Only by mastering solid professional knowledge and ability and having strong data literacy can the students of educational technology meet the needs of the development of the times. Based on this, this study studies the data literacy of undergraduate students in education technology. This research relies on the project of basic scientific research business expense of Central China normal University < Research on trusted Management and scheduling Mechanism of Service Resources in Cloud Computing Environment. No: CCNU16A02036; Web3.0 Technology for Information Application in Central China normal University Practical Research on the Innovation of Teaching Mode in the course of website Development; No: CCNU16IT0306), By using the methods of literature research, interview and questionnaire, this paper analyzes and constructs the data literacy of undergraduate students of educational technology by combining qualitative and quantitative methods, in order to improve their data literacy and improve the quality of personnel training in educational technology. The details are as follows. The first chapter is introduction. According to the research background and the domestic and foreign related research status, put forward the research questions. The second chapter is the basis of related research. According to the literature research, this paper first analyzes and expounds the related concepts of data literacy, then defines the definition of data literacy in this study, and summarizes the composition of its ability elements. Then the subject characteristics of educational technology and the knowledge and ability structure of undergraduate students are summarized. The third chapter constructs the data literacy model of educational technology undergraduates. According to the relevant research basis, this paper puts forward the concept of data literacy of educational technology undergraduates, and then, by means of interview and open questionnaire, collects and summarizes the items reflecting the characteristics of data literacy of educational technology undergraduates. The questionnaire is designed and compiled. Combined with the data analysis of the educational technology undergraduate students' data literacy ability structure framework, the relationship between each ability, the influence factors in the process of ability formation, and the final goal, from the background level, the ability level, the ability level, the final goal, from the background level, the ability level, the influence factor in the process of the ability formation, The model of data literacy of undergraduate students in educational technology is constructed in three levels of target level. In the fourth chapter, according to the model, the results of interviews and data analysis, and combined with the actual situation of the school, the strategy of improving the data literacy of undergraduate students in education technology is put forward. Chapter five: conclusions and prospects. This paper summarizes the research results and innovations of the whole article, as well as the shortcomings of the research, and makes a prospect for the further research and development direction.
【学位授予单位】:华中师范大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:G652;G40-057
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