Research on Personalized Learning Mode of Distance Education Based on Big Data
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.
big datadistant educationpersonalized learninglearning model
NETL
NSTL
万方数据
