Influence of gender and expected competencies on access to and utilization of cyberspace resources and services for research by postgraduate students

Mesagan, Faith O; Eseadi, Chiedu; Omekwu, Charles O.

doi:10.1007/s10639-021-10878-5

Cited by 4 publications

(6 citation statements)

References 9 publications

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“…It could also imply that females are more knowledgeable about using Facebook for RDC than males. This result disagrees with previous research (Mesagan et al, 2022), which documented no significant difference in cyberspace access between male and female higher education students.…”

Section: Awareness and Students' Willingness To Use Facebook For Rdccontrasting

confidence: 99%

“…Turning to utilization patterns, the results concerning gender differences in utilization echo previous studies that highlight a tendency for females to use ICT less than males (McGregor et al, 2017;. However, there are differing viewpoints as well, with some research indicating no significant difference in cyberspace access between male and female higher education students (Mesagan et al, 2022). Meanwhile, in terms of age-related utilization, the findings align with other studies suggesting that older respondents tend to be more proficient ICT users compared to their younger counterparts (McAndrew & Jeong, 2012;Owan, Asuquo, Ekaette, et al, 2021a).…”

Section: Literature Review and Hypotheses Developmentsupporting

confidence: 65%

“…Opposing studies have argued that females are better social media users than males (Gil-Clavel & Zagheni, 2019;Oberst et al, 2016). Nevertheless, the results of other scholars show no significant difference in students' use of ICT, social media or Facebook based on gender (Guillén-Gámez et al, 2019;Mesagan et al, 2022), attributing any observed disparity between male and female students to chance. These arguments in the literature call for further research as there is a lack of consensus among the three groups of studies.…”

Section: Introductionmentioning

confidence: 84%

See 2 more Smart Citations

Students awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables

Owan,

Obla,

Asuquo

et al. 2023

JPR

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Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness, willingness, and utilisation of Facebook for research data collection [RDC]. This study aimed to predict students' Facebook use for research data collection based on their awareness and willingness and to determine age and gender differences in such predictions. A sample of 11,562 students of tertiary institutions participated in an online survey. The researchers designed and validated the online survey. Exploratory Factor Analysis was used for dimensionality. Average Variance Extracted [AVE] was used for convergent validity, whilst the Fornel-Larcker criterion and Heterotrait-Monotrait ratio were used for discriminant validity. Composite reliability indices of .97, .94 and .90 proved the instrument's three sub-scales usable. One sample t-test and multigroup analysis were conducted using SPSS 27 and Smart PLS 3. The study found high awareness but low usage of Facebook for RDC among Nigerian university students. Younger and male students showed higher willingness and actual use of Facebook for RDC. Awareness directly impacted by awareness, and acted as Facebook usage for RDC, with stronger impacts for males and students aged 19 to 28. Willingness was positively impacted and acted as a negative mediator between awareness and usage for some age groups and genders. These findings provide important insights into using Facebook for RDC among students in Nigerian universities and highlight the need to consider the impact of demographic factors such as age and gender when promoting social media platforms for academic purposes.

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Section: Awareness and Students' Willingness To Use Facebook For Rdccontrasting

confidence: 99%

Section: Literature Review and Hypotheses Developmentsupporting

confidence: 65%

Section: Introductionmentioning

confidence: 84%

See 1 more Smart Citation

Students awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables

Owan,

Obla,

Asuquo

et al. 2023

JPR

View full text Add to dashboard Cite

show abstract

“…Conversely, other studies argue that females demonstrate greater competence in utilizing social media platforms than males (Gil-Clavel & Zagheni, 2019;Oberst et al, 2016). Moreover, some studies found no significant difference in students' use of ICT, social media, or Facebook with regards to gender, attributing any observed disparities to chance (Guillén-Gámez et al, 2019;Mesagan et al, 2022). The lack of consensus among these studies underscores the need for further research to understand gender-related dynamics in this subject better.…”

Section: Gender and Facebook Usementioning

confidence: 95%

Predicting users’ behavior: Gender and age as interactive antecedents of students’ Facebook use for research data collection

Petters,

Owan,

Okpa

et al. 2024

ONLINE J COMMUN MEDIA TECHNOL

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Previous studies have extensively examined how teachers and students utilize Facebook for instructional engagement, writing, research dissemination, and e-learning. However, there is a lack of research focusing on Facebook as a tool for collecting research data. This study aims to fill this gap by analyzing how final-year students utilize Facebook for research data collection (RDC). The study also assesses demographic differences in students’ use of Facebook for RDC. An online survey was conducted on a sample of 11,562 final-year students from tertiary institutions in Nigeria. The researchers followed global best practices in designing and validating the online survey. The survey items demonstrated clarity and relevance, with item content validity indices ranging from .71 to .99. Dimensionality and goodness of fit were assessed through exploratory and confirmatory factor analyses. Convergent validity was evaluated using average variance extracted, while discriminant validity was assessed using the Fornel-Larcker criterion and Heterotrait-Monotrait ratio. The composite reliability indices (.97, .94, and .90) confirmed the usability of the instrument’s three sub-scales. The study’s main findings revealed a significantly low usage of Facebook for RDC among students. Age was a significant predictor, indicating that older students used Facebook more for RDC. While males reported higher usage, the gender difference was negligible. The interaction of age and gender was significant in predicting students’ use of Facebook for RDC. These results have implications for future research, which are further discussed.

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“…In terms of utilisation, there are confusing reports of genders that use more ICT than others (McGregor et al, 2017). This is because there are some studies that tend to establish that in surfing the net, engaging in media charts, and being present in the cyberspace, no significant difference exists between males and females (Mesagan et al, 2022). The perception of students towards AI tools may concern data privacy and ethical implications.…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial Intelligence (AI) in academic research. A multi-group analysis of students’ awareness and perceptions using gender and programme type

2024

JALT

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Influence of gender and expected competencies on access to and utilization of cyberspace resources and services for research by postgraduate students

Cited by 4 publications

References 9 publications

Students awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables

Students awareness, willingness and utilisation of facebook for research data collection: Multigroup analysis with age and gender as control variables

Predicting users’ behavior: Gender and age as interactive antecedents of students’ Facebook use for research data collection

Artificial Intelligence (AI) in academic research. A multi-group analysis of students’ awareness and perceptions using gender and programme type

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