Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19

INTRODUCTION: The novel corona disease disrupted education all around the world. This shifted people to mobile learning in real time wireless classroom from the physical face-to-face classroom. OBJECTIVE: Mobile learning has been present for years but the use of mobile learning is more in the curren...

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Autores principales: Pooja Gupta, Vimal Kumar, Vikash Yadav
Formato: article
Lenguaje:EN
Publicado: European Alliance for Innovation (EAI) 2021
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Acceso en línea:https://doaj.org/article/c987a9273c574ead8f29ce309611b2fd
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Sumario:INTRODUCTION: The novel corona disease disrupted education all around the world. This shifted people to mobile learning in real time wireless classroom from the physical face-to-face classroom. OBJECTIVE: Mobile learning has been present for years but the use of mobile learning is more in the current scenario due to COVID-19. However, people’s acceptance of mobile learning education at institutions is still low. Thus, this research seeks to understand the student’s perspective by analysing constructs hypothesized in the proposed hybrid model. METHOD: Data is collected using a survey from an Indian institute of the Meerut region with a total of 1022 students. RESULT: Data analysis and research findings showed that Random Forest and K-Nearest Neighbour Algorithms outperforms than other classifiers in predicting the dependent variables with better accuracy rate, precision, and recall value in this study. CONCLUSION: The research findings will help the designers and software development to design learning applications considering the perspective of students with respect to 5G technology.