A Survey of Studentsâ Attitudes to Big Data Analysis in Iranian Universities
Journal Title: International Journal of Innovation in Engineering (IJIE) - Year 2021, Vol 1, Issue 4
Abstract
Today, with the emergence of new technologies and massive data, big data analysis has attracted the attention of researchers, industries and universities on a global scale. The present research aims to explore studentsâ attitude to big data analysis in different fields of study. The present cross-sectional study was conducted with students at different universities and fields of study in Iran. A questionnaire was developed. This questionnaire explored studentsâ attitude toward big data analysis. To this aim, 359 university students participated in the research. The data were analyzed using descriptive and inferential statistics. The age of the students ranged between 25 and 34 years. 55.2% were female and 54% were economically active. 40.9% had a work experience of less than a year. The academic degree of the majority of participants was masterâs degree. 93.9% of the participants believed that big data analysis was essential for the country. 43.2% maintained that big data mostly belonged to the communication industry. 28.1% perceived MATLAB useful software for analysis. 40.9% were familiar with the benefits of analysis. Engage in economic activities, less than 1 year of experience and studies for a Masterâs degree showed to be significantly correlated with familiarity with the benefits of big data (pâ¤0.01). Such issues as high costs, managersâ unfamiliarity and lack of expertise and complexity were raised by the respondents. Considering the undeniable benefits of big data analysis, it seems essential to familiarize university students with these analyses through particular training courses, conferences and so on.
Authors and Affiliations
Elham Nazari,Somayeh Norouzi,Tahmineh Aldaghi,Marjan Rasoulian,Mohammad Hasan Shahriari,Azam Kheirdoust,Hamed Tabesh,
Keywords
Related Articles
- EP ID EP711474
- DOI -
- Views 56
- Downloads 0
Analysis of surface roughness and material removal rate in machining of AISI 1040 steel using CNC turning process
The present study investigates the effect of turning process parameters on the surface roughness and metal removal rate (MRR) of the AISI 1040 steel. Twenty-seven ( L27) runs based on an orthogonal array of Taguchi techn...
An IoT-based sustainable supply chain framework and blockchain
The increasing expansion of the needs of human beings and societies has caused various aspects of human life and societies to face serious challenges and be considered. Supply chain organizations operate in a market in t...
Investigating the key indicators of implementing car paint quality management in the automotive industry
With the increasing development of science and technology, economics and industry have gone beyond their traditional framework and are becoming more and more knowledge-based every day. In this regard, identifying and rev...
Logistics Network Design Considering the Location of Logistics Hubs: A Case Study of Western Iran
Today, logistics is recognized as one of the most important factors in the development of countries. One of the characteristics of an efficient logistics structure is the design of a suitable logistics network with the r...
Financial Inclusion And Micro, Small And Medium Enterprises (Msmes) Development In Nigeria
This study investigated the effect of financial inclusions of micro, small and medium enterprises (MSMEs) development in Nigeria. The methodology adopted for evaluation of the model is the multiple linear regression meth...