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
Materias:	mobile learning covid-19 5g technology adoption machine learning algorithm Computer engineering. Computer hardware TK7885-7895 Systems engineering TA168
Acceso en línea:	https://doaj.org/article/c987a9273c574ead8f29ce309611b2fd
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spelling	oai:doaj.org-article:c987a9273c574ead8f29ce309611b2fd2021-11-30T11:07:42ZStudent’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-192410-021810.4108/eai.16-9-2021.170958https://doaj.org/article/c987a9273c574ead8f29ce309611b2fd2021-11-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.16-9-2021.170958https://doaj.org/toc/2410-0218INTRODUCTION: 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.Pooja GuptaVimal KumarVikash YadavEuropean Alliance for Innovation (EAI)articlemobile learningcovid-195g technologyadoptionmachine learning algorithmComputer engineering. Computer hardwareTK7885-7895Systems engineeringTA168ENEAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 8, Iss 29 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	mobile learning covid-19 5g technology adoption machine learning algorithm Computer engineering. Computer hardware TK7885-7895 Systems engineering TA168
spellingShingle	mobile learning covid-19 5g technology adoption machine learning algorithm Computer engineering. Computer hardware TK7885-7895 Systems engineering TA168 Pooja Gupta Vimal Kumar Vikash Yadav Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
description	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.
format	article
author	Pooja Gupta Vimal Kumar Vikash Yadav
author_facet	Pooja Gupta Vimal Kumar Vikash Yadav
author_sort	Pooja Gupta
title	Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
title_short	Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
title_full	Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
title_fullStr	Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
title_full_unstemmed	Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19
title_sort	student’s perception towards mobile learning using interned enabled mobile devices during covid-19
publisher	European Alliance for Innovation (EAI)
publishDate	2021
url	https://doaj.org/article/c987a9273c574ead8f29ce309611b2fd
work_keys_str_mv	AT poojagupta studentsperceptiontowardsmobilelearningusinginternedenabledmobiledevicesduringcovid19 AT vimalkumar studentsperceptiontowardsmobilelearningusinginternedenabledmobiledevicesduringcovid19 AT vikashyadav studentsperceptiontowardsmobilelearningusinginternedenabledmobiledevicesduringcovid19
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Student’s Perception towards Mobile learning using Interned Enabled Mobile devices during COVID-19

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