Computer literacy and student demographics: a study of select Indian universities

Kumar, Shiv; Mahajan, Preeti

doi:10.1108/lhtn-10-2013-0062

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…Ishtaiwa [76], in his research with university students at Al Ain University of Science and Technology in UAE, showed that students' academic major significantly played a role in their use and perceived effects of technology for learning in online settings. In the same line, Kumar and Mahajan [77] revealed significant differences in computer and internet use among various academic majors in the Indian higher education setting. In their study with different Iranian university students, Nami and Vaezi [23] observed that academic major was a significant factor in technology knowledge and skills as computer engineering students scored better on these scales.…”

Section: Major Of Studymentioning

confidence: 87%

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Khalifeh

Noroozi

Farrokhnia

et al. 2020

MTI

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The purpose of this research was to study the perceived readiness of higher education students for computer-supported collaborative learning (CSCL). Moreover, the role of important demographic variables, such as gender, major of study, and computer ownership, was examined in students' perceived readiness and its sub-scales. The data was collected from 326 higher education students of four study groups from a state university in Iran. MANOVA analysis was conducted to explore the possible role of the demographic variables in students' perceived readiness for CSCL. Most of the participants showed high readiness for CSCL. The male participants demonstrated more online learning aptitude compared to females. A statistically significant difference was found in the online learning aptitude of the respondents majoring in engineering and basic sciences with the rest of the participants. Furthermore, the students with a personal computer, laptop, or tablet demonstrated higher levels of readiness for CSCL and online learning aptitude.

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Section: Major Of Studymentioning

confidence: 87%

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Khalifeh

Noroozi

Farrokhnia

et al. 2020

MTI

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“…Similarly, some studies reveal positive prospective teachers’ attitudes towards CSE (Aslan & Zhu, 2017 ; Kara, 2020 ; Önder et al, 2011 ). Moreover, among the results of meta-analysis studies on CSE in the literature, it is statistically more effective than traditional education (Anıl et al, 2018 ; Cheung & Slavin, 2012 ; Dinçer, 2015 ; Jong & Van Joolingen, 1998 ; Kumar & Mahajan, 2013 ; Porebska & Wantuch, 2015 ; Rutten et al, 2012 ; Seo & Bryant, 2009 ; Trey & Khan, 2008 ; Wayangkau & Loupatty, 2017 ). Therefore, some research results supported the result of H8.…”

Section: Discussionmentioning

confidence: 99%

Digital literacy, technological literacy, and internet literacy as predictors of attitude toward applying computer-supported education

Yeşilyurt

Vezne

2023

Educ Inf Technol

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Even though there is an abundance of research on computer supported education (CSE), digital literacy (DL), technological literacy (TL), and internet literacy (IL), the correlation between them and their effect on each other have not been analyzed in the literature. However, no study has been conducted on the correlation between and effect of CSE, DL, TL, and IL and which additionally explains their relationship to each other. This study aims to analyze the effect levels among the latent variables of DL, TL, and IL, and the attitude toward applying CSE and these latent variables’ ratios to each other. For this purpose, eight hypotheses were developed after reviewing the literature. A relational descriptive model is used to detect the presence and extent of covariance. The participants of this study were 510 prospective teachers. Exploratory and confirmatory factor analysis of the scales were performed. The hypotheses of the research were tested with the structural equation model. As a result, it was revealed that DL, TL, and IL together significantly affect and explain the attitude towards CSE. Different suggestions have been developed based on the results of the research.

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Accounting students’ demographics and competencies: the mediating role of student engagement

Al-Nimer

2022

Accounting Education

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Computer literacy and student demographics: a study of select Indian universities

Cited by 3 publications

References 24 publications

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Higher Education Students’ Perceived Readiness for Computer-Supported Collaborative Learning

Digital literacy, technological literacy, and internet literacy as predictors of attitude toward applying computer-supported education

Accounting students’ demographics and competencies: the mediating role of student engagement

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