The Construction of Distance Education Personalized Learning Platform Based on Educational Data Mining

Abstract

With the rapid development of Internet technology, the online learning environment is centered on learners and no longer limited by time and space, making the demand for online learning increasingly. However, in the face of the Internet’s learning resources, learners often have no choice, and problems in the online learning process can not be solved in time, so it is imperative to construct a personalized learning environment that meets the characteristics of learners. Personalized learning is based on educational big data. Big data provides technical support for personalized learning, and provides a new way for traditional personalized learning. Personalized learning in the context of big data is based on learners. Taking into account the learning characteristics of learners, it is a breakthrough in traditional learning methods. With the advent of the era of big data and the era of artificial intelligence, the learning methods, teaching methods and cognitive styles of distance education have undergone major changes. The characteristics of the times require a new connotation for learning support services, which is traditional, unified and fixed. The learning support service has turned to the development of personalized instructional design, course management and learning evaluation services. A personalized distance education learning support service system was constructed. This paper mainly studies the online personalized learning platform system based on educational data mining. The system consists of four modules: management services, information and consulting services, resource services and learning process services. In view of the difficulties of distance learning learners, lack of learning time, self-learning ability and weak self-management ability, data mining technology can be used to analyze and mine learning process data and historical data accumulated in the process of distance education. The learner’s learning state and personality characteristics provide the main tailored learning content and learning path to guide learners to learn more effectively in the online learning environment, overcome learning obstacles and achieve learning goals.