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.
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source Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
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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