学习云空间中基于情境感知的移动学习自适应模型及其应用研究

Study on Adaptive Model of Mobile Learning and Its Application Based on Context Awareness in Cloud Learning Space

随着移动互联网等新技术的快速发展,移动学习成为网络学习空间的主要学习方式之一,然而移动学习效果的提升面临着复杂移动情境下空间化学习的自适应挑战。文章以云计算支持下的网络学习空间(即学习云空间)为背景,分析了移动学习的自适应因素,提出了一个基于情境感知的移动学习自适应模型,并探讨了移动学习的自适应实现机制及其应用策略。研究依托iStudy的移动学习自适应系统进行应用实践和实证分析,结果表明:该系统更有利于提高场独立型与场依存型两种风格学生的自我效能感,以及场依存型学生的学习成绩;不同知识类型学习中均使用该系统,其学习成绩没有差异;两种风格学生均认为该系统更加便捷适用,场依存型学生认为该系统更有利于促进学习。研究为促进移动学习的自适应和个性化理论与实践探索提供了有力支撑。

Mobile learning has become one of the main learning methods of online learning space thanks to the advancement of mobile technologies.However,the complex mobile contexts have brought great challenges to mobile learning adaption for improving learning effectiveness.Based on Cloud Learning Space(CLS)supported by cloud computing,this study analyzes the adaptive factors of mobile learning,proposes an adaptive model of mobile learning based on context awareness,and discusses the adaptive realization mechanism and application strategies.According to the application and empirical analysis of the mobile learning adaptive system of iStudy,the results indicate that:the system is more favorable to the improvement of the self-efficacy of the field-independent and field-dependent students,as well as the academic performance of the field-dependent students.The system is used in learning of different types of knowledge,and there is no difference in academic performance.Students of both styles think that the system is more convenient,while field-dependent students think that the system is better to promote learning.The research provides a strong support for the exploration of adaptive and personalized theory and practice of mobile learning.