智慧学习环境下的教学深度交互研究

发布时间：2018-01-25 09:40

本文关键词： 智慧学习环境深度交互心灵交互深度学习　出处：《江苏师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：“互联网+”时代科学技术以前所未有的速度向前发展,也深刻促进了教育变革。作为教育变革的重要组成部分,智慧学习环境为学习者带来了全新的教学体验,为教学交互的发生提供了实践场域与服务支持。但目前智慧学习环境下的教学交互存在停留于浅层交互、未能关注深度交互的机制的现象。同时智慧学习环境多数被视为技术丰富的环境,背离了智慧教育的原始诉求。因此探讨如何促进智慧学习环境中深度交互具有重要的理论意义和现实意义。通过梳理和分析国内外文献了解到智慧学习环境以及教学交互发展过程与研究现状。同时在探讨智慧学习环境概念、厘清相关认识不足的基础上,界定了智慧学习环境的概念。其智慧性主要体现在智慧学习环境内部主体获得良好的教学体验以及更为全面的发展中。分析智慧学习环境中的教学要素以及其技术支持主要有大数据与学习分析技术、自然交互技术、体感交互技术以及情境感知技术。同时论文对于教学交互的内涵及其理论出发点加以论述,概述了智慧学习环境教学交互的理论基础。通过对智慧学习环境教学过程的要素分析确定了教师与学习者两大交互主体,论述了智慧学习环境中的教学交互模式体现其中不同类型的交互。此外,从深度交互催生深度思维、深度思维引发深度学习以及深度交互促进深度交互展开论述,探究了深度交互与深度学习之间的关联,体现深度交互的重要价值。本文从深度交互的主体、深度交互的层次以及深度交互的内容等方面论述了深度交互的本质,探讨了深度交互的特征,在此过程中探究了智慧学习环境深度交互发生过程,建构了智慧学习环境教学深度交互模型。从现有智慧学习环境案例出发,分析发现智慧学习环境中的深度交互现实困境,分析阻碍深度交互的成因。目前的智慧学习环境教学缺乏智慧型教师引导,出现推崇工具理性的倾向。而深度交互过程因即时反馈的缺乏、智慧型技术的使用没有实现最优化,使得交互水平低,不能实现真正意义上的深度交互。基于以上的问题以及对深度交互本质的认识,提出五项促进智慧学习环境的深度交互的策略,即培养智慧型教师、提倡智慧工具观、增强有效的反馈、最优化使用智慧型技术和创新教学设计。对智慧学习环境深度交互的探讨,以期能对智慧型人才、创新型人才的培养提供理论参考。
[Abstract]:The development of science and technology at an unprecedented speed in the "Internet" era has also profoundly promoted the educational reform, which is an important part of the educational reform. The intelligent learning environment brings learners a new teaching experience, and provides practice field and service support for the occurrence of teaching interaction. But at present, the teaching interaction in the intelligent learning environment remains at the shallow level. The failure to pay attention to the mechanism of deep interaction. At the same time, the intelligent learning environment is mostly regarded as a technologically rich environment. Therefore, it is of great theoretical and practical significance to explore how to promote the deep interaction in the intelligent learning environment. Through combing and analyzing the literature at home and abroad, we can find out the intelligent learning environment. At the same time, it discusses the concept of intelligent learning environment. On the basis of clarifying the deficiency of related knowledge. This paper defines the concept of intelligent learning environment, and its wisdom is mainly reflected in the good teaching experience and more comprehensive development of the internal subjects of the intelligent learning environment. The teaching elements and their skills in the intelligent learning environment are analyzed. Technical support mainly includes big data and learning analysis techniques. Natural interaction technology, understanding interaction technology and situational awareness technology. At the same time, this paper discusses the connotation and theoretical starting point of teaching interaction. This paper summarizes the theoretical basis of teaching interaction in intelligent learning environment and determines the two main subjects of interaction between teachers and learners through the analysis of the elements of the teaching process of intelligent learning environment. This paper discusses the interaction mode of teaching in intelligent learning environment, which embodies different types of interaction. In addition, it gives birth to deep thinking from deep interaction. Deep thinking leads to deep learning and depth interaction promotes depth interaction. It explores the relationship between depth interaction and depth learning and reflects the important value of depth interaction. In this paper, the nature of deep interaction and the characteristics of deep interaction are discussed in terms of the level of deep interaction and the content of depth interaction. In this process, the process of deep interaction in intelligent learning environment is explored. This paper constructs the deep interactive model of the intelligent learning environment and finds out the practical dilemma of the deep interaction in the intelligent learning environment based on the existing cases of the intelligent learning environment. Analysis of the causes of hindering deep interaction. The current intelligent learning environment teaching lack of intelligent teachers guidance, there is a tendency to promote tool rationality, and the deep interaction process due to the lack of immediate feedback. The use of intelligent technology has not been optimized, resulting in low level of interaction, can not achieve the true meaning of deep interaction. Based on the above issues and understanding of the nature of deep interaction. Five strategies to promote the deep interaction of intelligent learning environment are put forward, that is, to cultivate intelligent teachers, to promote the concept of wisdom and tools, and to enhance effective feedback. To optimize the use of intelligent technology and innovative teaching design, and to explore the deep interaction of intelligent learning environment, in order to provide theoretical reference for the cultivation of intelligent and innovative talents.
【学位授予单位】：江苏师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G434

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