有意义的大数据与教学优化改革

Meaningful Big Data and Teaching Reform and Optimization

近年来,我国的教育教学改革虽已取得显著成果,但在个性化学习、深度学习、智慧学习等领域仍面临诸多困境,现实呼唤着数据驱动的教学改革与优化。有意义的大数据是指在自然而持续的学习过程中所收集的学生认知、行为、情感等多维度大样本数据,具备多类型、可量化计算、可视化呈现等特征,能够为教与学提供科学决策参考的教育大数据。文章以有意义的大数据为出发点,指出其在创新教学模式、提供精准评价、提升学习质量、优化教学决策等方面的应用价值,以期为教学优化和质量提升提供理论依据与实践参考。

In recent years, the reform in education has made remarkable achievements, but many difficulties still exist in some fields, such as personalized learning, deep learning, smart learning, and as a result, teaching reform and optimization driven by the data is advocated. Meaningful big data refers to the multi-dimensional data, collected in the process of students＂ natural and continuous learning and covering students＂ cognition, behaviors, and emotions and so on. The data, with the characteristics of multi-type, quantifiable calculation and visualization, can provide reference for scientific decision-making of teaching and learning. Based on meaningful big data, this paper puts forward its aoolication and value in innovatin^teaching mode, providing accurate evaluation, improving learning quality and optimizing teaching decision for the purpose of providing theoretical and practical reference for teaching optimization and quality improvement.