基于大数据技术的个性化自适应学习平台研究

Research on individualized adaptive learning platform based on big data technology

当前,大数据在各个领域的应用十分广泛,随着科技进步与时代的需求,在线教育日渐成熟。各类网络教学平台大肆兴起,学习过程不再受时间和空间限制,“个性化学习”“教育数据挖掘”等成为热门话题,如何利用大数据技术实现个性化学习成为教育研究者们新的课题。在大数据背景下,基于计算机技术的个性化自适应学习平台应运而生,以兴趣为基础的学习模式激发了学习者的参与,不仅满足个性化学习的需求,而且使学习资源得以充分利用,提高学习效率与效果,推动了在线教育的发展。如何体现以学生为主,构建更科学、完善的自适应个性化学习平台研究成为当今重要的研究课题。文章以自适应学习为主题,基于“大学计算机基础”课程实施,结合大数据技术,优化自适应遗传算法,探究个性化自适应学习平台构建,以提供可参考的实践经验。

At present,big data is widely used in various fields,with the progress of science and technology and the needs of the times,online education is maturing day by day.All kinds of network teaching platforms are on the rise,the learning process is no longer limited by time and space,“individualized learning”and“educational data mining”have become hot topics,and how to use big data technology to realize individualized learning has become a new topic for educational researchers.Under the background of big data,the individualized adaptive learning platform based on computer technology emerges as the times require,and the interest-based learning model stimulates learners’participation,which not only meets the needs of individualized learning,but also makes learning resources fully benefit use,improve learning efficiency and effect,and promote the development of online education.How to construct more scientific and perfect self-adaptive learning platform is an important research topic.This paper takes adaptive learning as the theme,based on the course implementation of“University Computer Foundation”,combined with big data technology,optimizes adaptive genetic algorithm,and explores the construction of personalized adaptive learning platform to provide reference practical experience.