Knowledge Graph-Based Computer Aided Adaptive Learning

Although the teaching progress is easily controllable in traditional linear classroom teaching, the individual cognitive ability of the students is ignored in undifferentiated teaching, which easily leads to the mismatch between the teaching content and the learners' ability and makes them lose confidence in learning. The study proposes a computer-assisted method of the adaptive learning plan. First, the knowledge graph technology is used to represent the semantics of course knowledge points; second, a recommended algorithm for adaptive learning based on questionnaire scoring is designed; finally, Neo4j, Spring Boot and D3.js are used for programming. The experimental results showed that this method promoted the learners' self-adaptive learning, met the students' needs for differentiated learning, improved the overall teaching quality, and achieved the student-oriented teaching concept.