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Evaluation Method of Classroom Teaching Effect Under Intelligent Teaching Mode
Chen, Jing ; Lu, Hui
Mobile networks and applications, 2022-06, Vol.27 (3), p.1262-1270
[Periódico revisado por pares]
New York: Springer US
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Título:
Evaluation Method of Classroom Teaching Effect Under Intelligent Teaching Mode
Autor:
Chen, Jing
;
Lu, Hui
Assuntos:
Accuracy
;
Algorithms
;
Artificial intelligence
;
Artificial neural networks
;
Classrooms
;
Colleges & universities
;
Communications Engineering
;
Computer Communication Networks
;
Coronaviruses
;
COVID-19
;
Education
;
Electrical Engineering
;
Engineering
;
IT in Business
;
Learning
;
Machine learning
;
Networks
;
Online instruction
;
Performance indices
;
Search algorithms
;
Students
;
Teaching methods
É parte de:
Mobile networks and applications, 2022-06, Vol.27 (3), p.1262-1270
Descrição:
In order to improve the accuracy and performance of classroom teaching effect evaluation, an intelligent teaching mode classroom teaching effect evaluation method is proposed. Based on the characteristics of intelligent teaching mode, an intelligent teaching effect evaluation index system including five indexes of basic quality, teaching attitude, teaching method, teaching ability and teaching effect is constructed. After obtaining the scores of each index by expert scoring, it is input into the cuckoo search algorithm extreme learning machine evaluation model and solved by objective function, obtain the final score of teaching effect evaluation. The experimental results show that the proposed method can effectively improve the evaluation accuracy of classroom teaching effect of intelligent teaching mode, and provide a new method for classroom teaching effect evaluation.
Editor:
New York: Springer US
Idioma:
Inglês
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