Knowledge graph-based adaptive learning guide method and system

Abstract

The invention discloses a knowledge graph-based adaptive learning guide method and system, electronic equipment and a storage medium. The method comprises the steps: S1, constructing a knowledge graphand a teaching resource library oriented to the teaching field, and constructing a personal knowledge graph according to question and answer records of a user, wherein nodes in the personal knowledgegraph have cognitive ability attribute values; S2, acquiring a target knowledge point that a user wants to inquire; S3, generating a learning path according to the teaching resources associated withthe target knowledge point, wherein the learning path comprises a plurality of teaching tasks, guidance of each teaching task is achieved through a finite-state machine, and a state transition threshold value of each finite-state machine is determined according to cognitive ability attribute values of the target knowledge point in the personal knowledge graph of the corresponding user; and the user is guided to complete the teaching task by using a multi-round dialogue technology. According to the invention, online learning experience can be improved, questions of users can be answered anytimeand anywhere, teacher question answering and guiding roles are replaced, and resource utilization rate and learning efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of educational informatization, and more specifically relates to an adaptive learning guidance method, system, electronic equipment and storage medium based on knowledge graphs. Background technique [0002] With the rapid development of information technology, online learning has become an important way for learners to acquire knowledge and acquire skills. Compared with traditional classrooms, online learning places more emphasis on learners' information retrieval and autonomous learning abilities. Facing the vast resources on the Internet, how to help learners quickly locate the resources and knowledge they need, supplemented by personalized teaching guidance, and help learners improve learning efficiency and learning quality is one of the research hotspots in the field of educational technology. one. [0003] Question answering technology based on knowledge graph is an effective way to solve the above p...

AI Technical Summary

Problems solved by technology

[0004] (1) The teaching task is single, and the auxiliary teaching is different from the general task-based question-and-answer scene. Learners have different levels of needs for specific knowledge points. For example, the levels defined in the cognitive goal classification of educator Bloom include, know , comprehension, application, analysis, synthesis and evaluation, different learning needs require different teaching tasks, and a single tutoring framework for the same application scenario has poor teaching effect;

[0005] (2) The existing cognitive level of the learners is not considered in the auxiliary teaching process, and the teaching activities are completed using a unified process and standard, and the teaching quality needs to be improved

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