摘要
随着互联网的不断发展以及智能设备的普及,互联网学习逐渐成为一种热潮。这不仅导致教育方式发生了重要的革新,同时也促使学生的多元化学习需求对教师的教学提出了更高的要求。为了提升教学效果,同时受到O2O商业模式启发,许多高校纷纷开始整合网络教学资源,开展网络教学活动。5G时代的发展,教育与网络形成了一种深度融合的发展趋势,网络教学方式也成了一种不可或缺的形式。但是,相对于传统教学来讲,网络教学的效果受个体学习行为影响较大。因此本文在深度学习视域下,针对学生的网络学习行为提出了具体分析模型,并以此为基础针对学生的具体学习需求制定可行的教学策略以及方案提出具体的建设性方案。
With the continuous development of the Internet and the popularity of intelligent devices, Internet learning has gradually become an upsurge. This not only leads to an important innovation in the way of education, but also prompts the diversified learning needs of students to put forward higher requirements for teachers’ teaching. In order to improve the teaching effect and inspired by the O2 O business model, many colleges and universities have begun to integrate network teaching resources and carry out network teaching activities. With the development of 5 G era, education and network have formed a development trend of deep integration, and network teaching method has also become an indispensable form. However, compared with traditional teaching, the effect of network teaching is greatly affected by individual learning behavior. Therefore, from the perspective of in-depth learning, this paper puts forward a specific analysis model for students’ e-learning behavior. And on this basis, it formulates feasible teaching strategies and schemes according to students’ specific learning needs, and puts forward specific constructive schemes.
作者
毕春光
BI Chun-guang(Jilin Agricultural University,Changchun Jilin 130000,China)
出处
《湖北开放职业学院学报》
2022年第19期149-151,共3页
Journal of Hubei Open Vocational College
基金
2018年吉林省高等教育教学改革研究课题“基于深度学习的网络学习行为分析及其教学策略研究”阶段性成果。
关键词
深度学习
网络教学
学习行为
教学策略
分析模型
deep learning
network teaching
learning behavior
teaching strategies
analysis model