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Background variables as predictors of utilisation of Web 2.0 applications in counsellor education: Implications for counselling youth and students

Published online by Cambridge University Press:  22 September 2020

Mfon Eyo*
Affiliation:
Department of Guidance and Counselling, University of Calabar, Calabar, Cross River State, Nigeria
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Abstract

The study adopted an ex post facto design to investigate background variables as predictors of utilisation of Web 2.0 applications in counsellor education. The population included 28 counsellor educators in the Department of Guidance and Counselling of the sampled university. Background variables and the Web 2.0 Utilisation Questionnaire (BVW2.0UQ) was used to gather data, which were analysed using means, standard deviations and multiple regression analysis. Findings of the study indicated, among others, that the extent of utilisation of Web 2.0 applications in counsellor education was low, and that the joint influence of the background variables on the extent of utilisation of Web 2.0 applications in counsellor education was not statistically significant.

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Agir, A. (2014). What are the usage conditions of Web 2.0 tools Faculty of Education students? Turkish Online Journal of Distance Education, 15, 171196.CrossRefGoogle Scholar
Bassey, R. S., & Eyo, M. (2015). Demographic variables as predictors of first year undergraduate’s use of the library in the University of Calabar: Counselling implications. Information and Knowledge Management, 5, 143150.Google Scholar
Chapman, S., & Varnum, K. (2007). University of Michigan Library Web Survey. https://www.lib.umich.edu/files/services/usability/WebSurvey_Fall2007.pdf Google Scholar
Deepika (2014). Usage of social networking website by common men and their contribution. International Journal of Science Technology and Management, 2, 98103.Google Scholar
D’Souza, Q. (2006). Web 2.0 ideas for educators. http://www.teachinghacks.com/audio/100ideasWeb2educators.pdf Google Scholar
Eyo, M. (2016). Counselling implications of teachers’ digital competencies in the use of social networking sites (SNSs) in the teaching-learning process in Calabar, Nigeria. Cogent Education, 3, 19.CrossRefGoogle Scholar
First site guide (n.d.). Blogging statistics 2020: How many blogs are out there? https://firstsiteguide.com/blogging-stats/ Google Scholar
Internet World Stats. (2020). Internet users’ statistics for Africa: Africa internet usage, 2020 population stats and Facebook subscribers. https://www.internetworldstats.com/stats1.htm Google Scholar
John, N. A. (2012). Sharing and Web 2.0: The emergence of a keyword. Media and Society, 15, 167182. https://nicholasjohn.huji.ac.il/sites/default/files/nicholasjohn/files/sharing_and_web_2.0_nms_john_print_version.pdf Google Scholar
Kemp, S. (2015). Digital, social and mobile worldwide in 2015. http://wearesocial.net/blog/2015/01/digital-social-mobile-worldwide-2015/ Google Scholar
Kemp, S. (2020). Digital 2020: Global digital overview. https://datareportal.com/reports/digital-2020-global-digital-overview Google Scholar
Kuss, D. J., & Griffiths, M. D. (2011). Online social networking and addiction — A review of the psychological literature. International Journal of Environmental Research and Public Health, 8, 35283552.CrossRefGoogle ScholarPubMed
Maliki, A. E., & Uche, R. D. (2007). Students’ background variables and utilization of library resources among secondary school students’ in Southern Senatorial District of Cross River State, Nigeria. Studies of Tribes and Tribals, 5, 2123.CrossRefGoogle Scholar
Mohammadyari, S. (2012). Factors that influence the use of Web 2.0 tools for e-learning. (Unpublished master’s thesis). Auckland University of Technology, New Zealand. http://aut.researchgateway.ac.nz/bitstream/handle/10292/4736/MohammadyariS.pdf?sequence=3&isAllowed=y Google Scholar
Mosha, N. F. (2017). Application of Web 2.0 tools to enhance knowledge management practices in academic libraries in Tanzania (Unpublished PhD thesis). University of South Africa. file:///C:/Users/DEAN%20EDUCATION/Desktop/Web%202.0%20in%20counselling/thesis.pdf Google Scholar
Nashipudi, M. (2012). Web 2.0 and folksonomy. International Journal of Digital Library Services, 2, 2935.Google Scholar
O’Reilly, T. (2005). What is Web 2.0: Design patterns and business models for the next generation of software. http://oreilly.com/web2/archive/what-is-web-20.html?page=1 Google Scholar
Quadri, G. O. (2013). Influence of demographic factors on use of online library resources by undergraduate students in two private Nigerian university libraries. Library Philosophy and Practice (e-journal). 976.Google Scholar
Rockinson-Szapkiw, A. J., & Walker, V. L. (2009). Web 2.0 technologies: Facilitating interaction in an online human services counseling skills course. Journal of Technology in Human Services, 27, 175193.CrossRefGoogle Scholar
Selwyn, N. (n.d). Web 2.0 applications as alternative environments for informal learning — A critical review. http://www.oecd.org/education/ceri/39458556.pdf Google Scholar
Vijayakumar, J. K. (2010). A study on the usage of Web 2.0 applications by basic medical science students, in the light of e-learning implementation (Unpublished master’s dissertation). The Robert Gordon University, Aberdeen, Scotland. http://eprints.rclis.org/28932/1/Vijayakumar-MScDissertation-Final.pdf Google Scholar
Warr, W. A. (2008). Social software: fun and games, or business tools? Journal of Information Science, 34, 591-604.CrossRefGoogle Scholar
Winn, R. (2020). 2020 podcast stats & facts. https://www.podcastinsights.com/podcast-statistics/ Google Scholar