教育大数据背景下智慧学习系统模型的构建研究

A Study on the Construction of Smart Learning System Model under the Background of Educational Big Data

随着教育大数据应用愈发广泛,智慧学习成为现阶段信息化教育的突出成果。依托于教育大数据背景,智慧学习能够为学习者提供更为优化的学科知识架构、统筹整合各类教学资源、提高专业知识的适应性。为充分发挥智慧学习的现实价值,在构建其系统模型时应当遵循科学合理、简便易行、稳定可靠等原则。因此,在教育大数据背景下,智慧学习系统模型的构建可从框架规划、测试开发规范搭建以及明确目标等四方面进行,为学生提供科学有效的学习帮扶工具。

As the application of educational big data becomes more and more widespread,smart learning has become the outstanding achievement of information education at this stage.Relying on the background of educational big data,smart learning can provide learners with a more optimized subject knowledge structure,coordinate and integrate various teaching resources,and improve the adaptability of professional knowledge.In order to give full play to the practical value of smart learning,the principles of science,rationality,simplicity,stability and reliability should be followed when constructing its system model.Therefore,in the context of educational big data,the construction of a smart learning system model can be carried out from four aspects:framework planning,test development specification construction,and clear goals,providing students with scientific and effective learning aid tools.