技术增强型学习环境中学习者因素对深度学习的影响

The Effects of Learner Factors on Deep Learning in Technology-enhanced Learning Environments

对学习者的深度学习策略实施教学干预是十分必要的,要使技术增强型学习环境中基于技术的教学干预措施发挥预期作用,必须考虑学习者因素。研究通过结构方程模型构建学习者因素与深度学习之间的关系模型,探讨技术增强型学习环境中学习者因素之认识论信念和技术使用的态度与深度学习之间的结构关系。结果表明,认识论信念和技术使用的态度对学习者的深度学习方法均呈现出显著的正向影响关系,技术使用态度对浅层学习的影响未呈现出显著性。

It is quite necessary to implement teaching intervention on learners’deep learning strategies.To make technology-based teaching interventions in a technology-enhanced learning environment work as expected,learner factors must be considered.The study built a model of the relationship between learner factors and deep learning through structural equation models,and explored the structural relationship among deep learning and learner factors’epistemological beliefs and attitudes towards technology use in technology-enhanced learning environments.The results show that both learners’epistemological beliefs and the attitude of technology use have a significant positive influence on learners’deep learning methods,while the impact of attitude toward technology use on surface learning is not significant.