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A learner and model technology, applied in the field of behavioral information perception and learning analysis, can solve problems such as limited application fields, lack of a comprehensive evaluation plan, and few involvements
Inactive Publication Date: 2018-01-19
HUAZHONG NORMAL UNIV
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[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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Embodiment 1
[0053] Example 1 Learning Effect Evaluation in Learning Analysis
[0054] The first step is to construct the learner model. Based on the learner instance, its attributes and related services are analyzed and summarized. Through the analysis, the information of the learner instance mainly exists in two forms: static structure and dynamic structure. Static structure information is mainly basic information (such as user name, student number, name, gender, major, age, ethnicity, contact information, hobbies, etc.); dynamic structure information is mainly behavior information in the learning process (such as preference information, Online learning performance, etc.) and performance information corresponding to learning results (such as performance summary, test scores, etc.). Further fill in learner attributes according to actual needs. The details are shown in Table 3.
[0055] Table 3. Learner model
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[0057]
[0058] The second step is to formulate design item...
Embodiment 2
[0088] Embodiment 2 Based on the evaluation of the degree of interest perceived by the visitor's behavior information
[0089] The first step is to construct the learner model. Based on the visitor instance, its attributes and related services are analyzed and summarized. Through the analysis, the information of visitor instances mainly exists in two forms: static structure and dynamic structure. The information in the static structure is mainly identity information (such as name, gender, profession, age, ID number, ethnicity, contact information, hobbies, etc.); the information in the dynamic structure is mainly behavior information and somatosensory interaction information during the visit, subjective survey data, scoring data. Further fill in visitor attributes according to actual needs. The details are shown in Table 6.
[0090] Table 6. Visitor model
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[0092]
[0093] The second step is to formulate design items.
[0094] First, determine the design i...
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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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