Universities Students' Knowledge About Big Data Analysis
Introduction: Big data analysis has raised controversies today and attracted many students and academics for its dramatic advantages. The present research aims to investigate the extent to which students in different universities of Mashhad are familiar with this type of analysis. Material and Meth...
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Hamara Afzar
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doaj-bd7d47724900493b8a5a4c326d1d173b2021-04-02T20:44:05ZengHamara AfzarFrontiers in Health Informatics2676-71042020-12-019110.30699/fhi.v9i1.242133Universities Students' Knowledge About Big Data AnalysisElham Nazari0Marjan Rasoulian1Samane Sistani2Maryam Edalati Khodabandeh3Hamed Tabesh4Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad,Introduction: Big data analysis has raised controversies today and attracted many students and academics for its dramatic advantages. The present research aims to investigate the extent to which students in different universities of Mashhad are familiar with this type of analysis. Material and Methods: The present cross-sectional research was conducted on university students of different fields of study in Mashhad, Iran. A questionnaire was developed based on a review of the related literature in PubMed, Google Scholar, Science Direct and EMBAS. The target questionnaire explored students' knowledge of big data analysis. To this aim, 142 students participated in this research and completed the target questionnaire. Their responses were analyzed descriptively. Results: The majority age of participants ranged between 21 and 28 years. 59% of these participants were female; 27% had less than a year of work experience; the academic grade of the majority of participants was Master's or Ph.D. 42% enjoyed a desirable knowledge of big data analysis. The largest number of hours of scientific and non-scientific studies belonged to basic science students and more specifically that of pharmacology. Conclusion: Despite the significance and benefits of big data analysis, students' unfamiliarity with the essentiality of these analyses in industries and research is considerable. It seems that the field or grade of studies has no effect on one's knowledge of big data analysis. Probably, the design of specialized educational courses with this concern can help to promote individuals' knowledge of big data analysis.http://ijmi.ir/index.php/IJMI/article/view/242 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elham Nazari Marjan Rasoulian Samane Sistani Maryam Edalati Khodabandeh Hamed Tabesh |
spellingShingle |
Elham Nazari Marjan Rasoulian Samane Sistani Maryam Edalati Khodabandeh Hamed Tabesh Universities Students' Knowledge About Big Data Analysis Frontiers in Health Informatics |
author_facet |
Elham Nazari Marjan Rasoulian Samane Sistani Maryam Edalati Khodabandeh Hamed Tabesh |
author_sort |
Elham Nazari |
title |
Universities Students' Knowledge About Big Data Analysis |
title_short |
Universities Students' Knowledge About Big Data Analysis |
title_full |
Universities Students' Knowledge About Big Data Analysis |
title_fullStr |
Universities Students' Knowledge About Big Data Analysis |
title_full_unstemmed |
Universities Students' Knowledge About Big Data Analysis |
title_sort |
universities students' knowledge about big data analysis |
publisher |
Hamara Afzar |
series |
Frontiers in Health Informatics |
issn |
2676-7104 |
publishDate |
2020-12-01 |
description |
Introduction: Big data analysis has raised controversies today and attracted many students and academics for its dramatic advantages. The present research aims to investigate the extent to which students in different universities of Mashhad are familiar with this type of analysis.
Material and Methods: The present cross-sectional research was conducted on university students of different fields of study in Mashhad, Iran. A questionnaire was developed based on a review of the related literature in PubMed, Google Scholar, Science Direct and EMBAS. The target questionnaire explored students' knowledge of big data analysis. To this aim, 142 students participated in this research and completed the target questionnaire. Their responses were analyzed descriptively.
Results: The majority age of participants ranged between 21 and 28 years. 59% of these participants were female; 27% had less than a year of work experience; the academic grade of the majority of participants was Master's or Ph.D. 42% enjoyed a desirable knowledge of big data analysis. The largest number of hours of scientific and non-scientific studies belonged to basic science students and more specifically that of pharmacology.
Conclusion: Despite the significance and benefits of big data analysis, students' unfamiliarity with the essentiality of these analyses in industries and research is considerable. It seems that the field or grade of studies has no effect on one's knowledge of big data analysis. Probably, the design of specialized educational courses with this concern can help to promote individuals' knowledge of big data analysis. |
url |
http://ijmi.ir/index.php/IJMI/article/view/242 |
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