基于教育大数据的职业教育个性化自适应教学研究——以Hadoop技术基础课程为例
Research on Personalized Adaptive Teaching of Vocational Education Based on Educational Big Data—Taking Hadoop Technology Basic Course as an Example

在大数据技术日新月异的现状，高职教育正面临着前所未有的机遇和挑战。为探索新路径，教育大数据通过利用现代化前沿的科技技术和手段，在课堂上通过个性化自适应的教学研究，发掘学生的潜在特点，同时也为高职院校赋能，打造新质生产力，符合不断探索职业教育改革的前沿理念，通过在课程中的个性化自适应教学，不仅仅符合学校的专业布局以及学科定位。在这个大数据以及人工智能的时代，适应技术发展的内在趋势，满足国家对高素质技能人才的新需求。
With the rapid development of big data technology, higher vocational education is facing unprecedented opportunities and challenges. In order to explore new paths, educational big data uses modern cutting-edge scientific and technological technologies and means to explore students’ potential characteristics through personalized adaptive teaching research in the classroom. At the same time, it also empowers higher vocational colleges and creates new quality productivity, which is in line with the cutting-edge concept of constantly exploring vocational education reform. Through personalized adaptive teaching in the course, it not only conforms to the school’s professional layout and subject positioning. In this era of big data and artificial intelligence, it adapts to the inherent trend of technological development and meets the country’s new needs for high-quality skilled talents.