The Influence of Mobile Learning on the Optimization of Teaching Mode in Higher Education
The purpose of the study is to optimize the teaching mode of higher education. The teaching mode of colleges and the learning situation of college students are studied based on mobile learning. Artificial neural network (ANN) algorithm is implemented to train and test the student responses. The clas...
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Veröffentlicht in: | Wireless communications and mobile computing 2022-01, Vol.2022, p.1-9 |
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description | The purpose of the study is to optimize the teaching mode of higher education. The teaching mode of colleges and the learning situation of college students are studied based on mobile learning. Artificial neural network (ANN) algorithm is implemented to train and test the student responses. The classification results show that compared with the Traditional Teaching Mode (TTM), the teaching mode of mobile learning can significantly improve students’ learning effectiveness, skill mastery, and learning enthusiasm. Compared with the TTM, the teaching mode of mobile learning can help college students get a better learning experience. The number of students participated or attended the classes through mobile applications is higher when compared with the other traditional methods. |
doi_str_mv | 10.1155/2022/5921242 |
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subjects | Algorithms Applications programs Artificial neural networks Cellular telephones Colleges & universities Education Educational technology Learning theory Machine learning Mobile computing Online instruction Optimization Students Teaching |
title | The Influence of Mobile Learning on the Optimization of Teaching Mode in Higher Education |
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