Empirical Research, Independent Study In Network Environment

With the fast development of information technology, network is widely used in every field of society, becoming a necessary important part of people's life, work and study. In the field of education, the wide use of network brings new life to education in the new century, new educational concept and the conformity of network technology make up many new teaching models, such as Self-regulated Learning in network environment, Collaborative Learning in network environment, Inquire Learning in network environment, etc. Among them, Self-regulated Learning in network environment causes the greatest attention and becomes the main teaching models in network instruction. The Self-regulated Learning in network environment means that the learner uses the aiding service system for learning provided by networks to choose cognitive tools, decide learning aims and contents and realize the meaningful building of knowledge through alternative, interactive and active learning process.The problem this thesis focuses on: The effect of Self-regulated Learning in network environment and its influence.This thesis uses examples in read life to study the Self-regulated Learning in network environment. First, put the Para experiment research method into practice. After the experiment, probe into the effect and inflexed of Self-regulated Learning in network environment.Confusion:(1)Self-regulated Learning in network environment can improve students Self-regulated Learning ability;(2) Self-regulated Learning can improve students learning level; (3)The enhancing of the students ability of Self-regulated Learning is one of the most important reasons of getting better grades. (4)The effect of Self-regulated Learning are influenced by many factors, including internal factors, such as students learning motives, self-efficacy, attribution, etc; and external factors, such as teachers role, network lessons design, resources of network learning, network environment, etc.The conclusion mentioned above will provide guide and reference for the further research of Self-regulated Learning in network environment and the smooth going-on of network teaching and learning.