Study on the Influence of Learning engagement on Deep Learning in E-Learning Environment

Dong Xiaoxiao, Zhou Dongdai
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引用次数: 3

Abstract

Learning investment is considered to be an important predictor of academic achievement, and learning investment affects the realization of deep learning. The article uses the revised learning engagement scale and deep learning scale in an online learning environment to select high school students in science to conduct a questionnaire survey and collect data. The data is researched from three aspects: overall descriptive statistical analysis, correlation analysis between learning investment and deep learning, and regression analysis of learning investment and deep learning. The results show that (1) The overall level of student investment and deep learning is relatively high, but students' learning interests, the maintenance and cultivation of good learning habits, and their ability to transfer and use knowledge are lacking. (2) The student's investment in learning It has a significant positive correlation with deep learning, in which learning behavior investment has the most significant impact on deep learning, cognitive investment is the second, and emotional investment is the lowest. (3) Students' behavioral and cognitive investment can positively predict deep learning capabilities, and behavioral investment has the biggest impact, and emotional investment has no impact on deep learning. Based on the above research results, the article gives the strategies for improving students' deep learning ability.
E-Learning环境下学习投入对深度学习的影响研究
学习投资被认为是学习成绩的重要预测指标,学习投资影响着深度学习的实现。本文采用修订后的学习投入量表和在线学习环境下的深度学习量表,选取高中理科学生进行问卷调查并收集数据。本文从三个方面对数据进行了研究:整体描述性统计分析、学习投资与深度学习的相关性分析、学习投资与深度学习的回归分析。结果表明:(1)学生投入和深度学习的整体水平较高,但学生的学习兴趣、良好学习习惯的维护和培养、知识转移和运用能力等方面缺乏。(2)学生的学习投入与深度学习存在显著的正相关关系,其中学习行为投入对深度学习的影响最为显著,认知投入次之,情感投入最低。(3)学生的行为投资和认知投资对深度学习能力有正向预测作用,其中行为投资对深度学习能力的影响最大,情感投资对深度学习能力没有影响。基于以上研究结果,本文提出了提高学生深度学习能力的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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