Learner model-based design item assessment method

Abstract

The invention belongs to the field of learning analysis and behavior information perception, and provides a learner model-based design item assessment method. The method comprises the following stepsof: (1) learner model construction: analyzing and concluding attributes and related services of learner examples on the basis of the learner examples, and establishing an attribute set and related services of learners; (2) design item formulation: firstly determining a design item related to the learner model according to requirements, carrying out attribute extraction and classification accordingto interaction objects of the learners and services of the interaction objects so as to form indexes for assessing the design item, and finally establishing a hierarchical structure according to extracted data attributes so as to form a general framework of the design item; and (3) assessment method formulation: designing a learner model-based design item assessment method by utilizing an analytical hierarchy process. According to the method, a method for establishing big data basic models for learners is provided, and a feasible assessment scheme is formulated, so that favorable applicationbasis is provided for the analysis and mining of related services of the learners under big data environment.

Description

technical field [0001] The invention belongs to the fields of learning analysis and behavior information perception, and in particular relates to a design item evaluation method based on a learner model. Background technique [0002] The representation of the learner model generally adopts the construction method based on the vector space model, which can reflect the importance of different concepts in the learner model, and it is convenient to use the standard vector operation formula to carry out the item matching task in the subsequent stage. However, the attributes of learners are complex and cannot be fully captured with only a set of keywords; at the same time, the inherent synonym and semantic divergence of word expression itself, as well as the lack of consideration of word order or context in the expression, make the model based on this model Indicates that the results produced are ambiguous. [0003] For the evaluation method of design items, multi-indicators are ...

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Problems solved by technology

[0006] On the one hand, for the learner model and its learning effect evaluation from the perspective of learning analysis, related programs in "Design and Implementation of Online Learning Behavior Evaluation System Based on Data Mining" and "Learning Behavior Evaluation Model and Implementation Based on BP Neural Network" Although data mining technology or BP neural network is used to build relevant evaluation models, the application field is limited (only for learning effect evaluation of specific learning process data), and many design items in the learning process (such as learning participation, learning satisfaction, learning interests, etc.) are rarely involved in the evaluation, and a relatively comprehensive evaluation plan has not been formed; on the other hand, the above studies have not combined the learner model with design elements such as the learning process

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