基于大数据的远程教育个性化学习模式研究
Research on Personalized Learning Mode of Distance Education Based on Big Data
方江祎 1王晓晨1
作者信息
- 1. 山西开放大学,山西 太原 030027
- 折叠
摘要
远程教育在互联网技术的推动下日益受到关注,其突破时空限制的优点使学习者可以更为灵活地接受教育,但是也存在缺乏互动性和学习效果不佳等问题.为了解决这些问题,利用技术手段构建个性化学习模式成为趋势.文章基于大数据技术提出了一套适用于远程教育的个性化学习模式,通过课前、课中、课后三个阶段进行有针对性的教学设计和评估.这样可以提高学习者自主权,构建真正以学习者为中心的教学模式,实现以数据驱动的"因材施教".
Abstract
Distance education,driven by internet technology,has been receiving increasingly attention.Its advantage of breaking through time and space limitations allow learners to receive education more flexibly,but there are also problems such as lack of interactivity and poor learning outcome.To address these issues,it has become a trend to use technological means to construct personalized learning models.This article proposes a per-sonalized learning mode suitable for distance education based on big data technology,and conducts targeted teaching design and evaluation through three stages:preclass,in class,and post class.By doing so,learner au-tonomy can be enhanced,a truly learner centered teaching model can be built,and the data-driven personalized teaching mode can be achieved.
关键词
大数据/远程教育/个性化学习/学习模式Key words
big data/distant education/personalized learning/learning model引用本文复制引用
基金项目
山西省社科联重点课题(2023-2024)(SSKLZDKT2023161)
出版年
2024
NETL
NSTL
万方数据