Memory collaborative knowledge tracking method and system

Abstract

The invention discloses a memory collaborative knowledge tracking method and system. The method comprises the following steps: acquiring a question qt and an answer rt answered by a learner at a t moment; obtaining a concept matrix Mk and a concept mastering matrix at the t moment, wherein the concept mastering matrix is used for representing memory contents of the learner for each concept at the t moment in a sensory memory stage, a working memory stage and a long-term memory stage; obtaining the relevancy wt (i) of the question qt and the ith concept; calculating to obtain the total memory degree kst of the learner to the concepts related to the question qt; and outputting the prediction correct rate prt and the prediction relevancy w't of the question qt answered by the learner. The method not only comprises the representation of the memory content, but also comprises the representation of the memory stage, so that the knowledge mastering state of the learner can be more accurately represented, and the future performance of the learner can be more accurately predicted.

Description

technical field [0001] The invention belongs to the technical field of knowledge tracking, and more specifically relates to a method and system for knowledge tracking of memory coordination. Background technique [0002] The purpose of knowledge tracing (Knowledge Tracing) is to represent the state of knowledge mastery of learners. The current knowledge tracking model mainly models the learner's knowledge learning process based on the learner's historical question answer records, and predicts the learner's performance in answering questions in the future. Its input is generally the learner's historical question answer record, such as (question number, correct or not), and the output is the probability of the learner correctly answering the next question. [0003] Memory state representation is an important part of the knowledge tracking model, and its role is to model the representation of each concept in the learner's memory system. In the initial stage of the development...

AI Technical Summary

Problems solved by technology

However, it still has shortcomings: it only shows the memory content, and does not indicate the stage of the memory content (sensory memory stage, working memory stage, long-term memory stage), and there is still a certain gap with the human memory system

[0005] To sum up, the existing knowledge tracking research has two methods in the representation of the memory state: first, the representation without the memory content, and the representation without the memory stage

Second, the representation with memory content and the representation without memory stage

There is still a certain gap between the two methods and the human memory system, which cannot well reflect the state of human memory in knowledge tracking

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