Cognitive analysis method and cognitive analysis device for learning object, and electronic equipment

A technology of learning objects and analysis methods, applied in electrical components, logic circuits, systems based on fuzzy logic, etc., can solve problems such as no solution, inability to apply evaluation accuracy, and limit the application scope of the KT model to achieve accuracy. accurate effect

Pending Publication Date: 2021-07-16
HEFEI UNIV OF TECH
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  • Application Information

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Problems solved by technology

For example, the binary cognition sequence of the student (0, 0, 0, 0, 1, 1, 1, 1) represents the unknown or known cognition state of the student at each time step, expressing the cognition of the student as The known / unknown state ignores some of the known situations in the human learning process, which limits the scope of application of the KT model (it cannot be applied to subjective scoring scenarios) and the accuracy of evaluating students' cognition during the learning process
[0005] For the above problems, no effective solution has been proposed

Method used

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  • Cognitive analysis method and cognitive analysis device for learning object, and electronic equipment
  • Cognitive analysis method and cognitive analysis device for learning object, and electronic equipment
  • Cognitive analysis method and cognitive analysis device for learning object, and electronic equipment

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Embodiment 1

[0030] This embodiment can be applied to various cognitive state tracking systems or cognitive tracking software for learning objects (such as students and trainers). It can not only track cognitive state changes for objective test scores, but also for subjective test scores. To track cognitive state changes, a fuzzy Bayesian cognitive tracking method FBKT is provided for objective and / or subjective score scores. Apply fuzzy theory to the field of cognitive tracking to solve the scenario where traditional BKT cannot handle subjective question scores. At the same time, compared with the existing technology, this embodiment can track more subtle cognitive state changes and obtain better answer score predictions Performance.

[0031] According to an embodiment of the present invention, an embodiment of a method for cognitive analysis of a learning object is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a comput...

Embodiment 2

[0102] This embodiment provides a cognitive analysis device for a learning object. The cognitive analysis device involves multiple implementation units, and each implementation unit corresponds to each implementation step in the first embodiment above.

[0103] figure 2 is a schematic diagram of an optional learning object cognitive analysis device according to an embodiment of the present invention, such as figure 2 As shown, the cognitive analysis device may include: an acquisition unit 21, a determination unit 23, a construction unit 25, and an analysis unit 27, wherein,

[0104] The acquiring unit 21 is used to acquire multiple continuous score sets, multiple fuzzy score sets and multiple fuzzy cognition sets of all learning objects when answering various types of exercises, wherein each type of exercise corresponds to a knowledge point, and each continuous The score set contains multiple continuous scores of a knowledge point, and the fuzzy cognition set contains the d...

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Abstract

The invention discloses a cognitive analysis method and a cognitive analysis device for a learning object, and electronic equipment. The cognitive analysis method comprises the steps: obtaining a plurality of continuous score sets, a plurality of fuzzy score sets and a plurality of fuzzy cognitive sets when all learning objects answer various types of exercises, wherein each type of exercises corresponds to one knowledge point, each continuous score set comprises a plurality of continuous scores of one knowledge point, the fuzzy cognitive set comprises the mastering degree of the learning object on the knowledge points; determining a fuzzy membership distribution map based on each continuous score set, the plurality of fuzzy score sets and the plurality of fuzzy cognitive sets; constructing a cognitive model based on the plurality of fuzzy membership distribution maps; and analyzing the score of the target learning object when answering the exercises of the same kind of knowledge points by adopting the cognitive model. According to the method and the device, the technical problem of relatively low accuracy of student cognitive state evaluation due to the adoption of a binary score evaluation mode in a student learning model in related technologies is solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular, to a cognitive analysis method for learning objects, a cognitive analysis device, and electronic equipment. Background technique [0002] In related technologies, the current continuous development of online education promotes the sharing of learning resources for students. In current online education, it is necessary to track students' cognitive process and understanding of each type of knowledge point, such as cognitive tracking (KT), which aims to track students' cognition according to their exercise performance at different times, thus causing It is of great concern that the currently commonly used model is the Bayesian Cognitive Tracking Model (BKT). This BKT model mainly constructs the performance and cognitive state of students as a binary representation. It has obvious disadvantages, including: [0003] Disadvantage 1), for binarized scores, regardless of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G06N7/02
CPCG06N7/02G06Q50/205
Inventor 卜晨阳刘菲胡学钢
Owner HEFEI UNIV OF TECH
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