大数据环境下个性化学习与课堂教学策略研究
2018-11-05林愿
林愿
摘 要 大数据环境下,网络资源琳琅满目,为用户提供高效的学习资源个性化推送服务,以帮助用户找到真正适合自己的和自己真正需要的学习资源,是当前教育技术的研究热点之一。在学习资源个性化推送服务的前提下,需要进一步转变课堂教学理念,变以“教”为主到以“学”为主,在传统的课堂教学上,适当引入慕课、微课、翻转课堂等教学资源,并通过网络资源云盘等实现资源共享,根据学生的情况可以自主选择或者对他们进行个性化推送,从而实现在大数据支持下因材施教、个性化教学。
关键词 大数据 个性化学习 课堂教学策略
中图分类号:G642 文献标识码:A DOI:10.16400/j.cnki.kjdks.2018.09.010
Abstract In the big data environment, the network resources are dazzling, providing users with efficient learning resources and personalized push services to help users find the learning resources that are really suitable for them and their real needs. It is one of the research hotspots of current educational technology. Under the premise of learning resources personalized push service, it is necessary to further change the classroom teaching concept, and change from "teaching" to "learning". In the traditional classroom teaching, appropriate introduction of MOOC, micro-class, flip classroom such as teaching resources, and through the network resources cloud disk to achieve resource sharing, according to the students' situation can be selected or personalized to push them, in order to achieve the teaching of students in accordance with the big data support, personalized teaching.
Keywords big data; personalized learning; classroom teaching strategies
0 引言
众所周知,实施课堂教学的最重要手段就是课堂教学策略,拥有灵活多变的课堂教学策略有利于营造良好的课堂教学氛围,从而顺利的完成教学任务。在21世纪这么一个信息爆炸的时代,互联网、移动电子设备、各种远程交流技术以及大数据技术,我们学习知识就变得更加方便了,途径也更多了。大数据支持下的个性化学习日渐成为一种可能,而另一方面,如果我们还是沿用传统的课堂教学“灌输式”的说教和强制性的学习,无疑会弱化学生自主学习和奋发向上的学习力,个性化学习被掩盖,这种想象亟待改善。
为用户提供学习资源个性化推送服务,以帮助用户在众多的网络资源中找到真正适合自己的和自己真正需要的学习资源,是当前教育技术的研究热点之一。……
