Virtual Collaborative Learning Platform in Developing Countries: The Practices of Google Classroom in the Universities of Bangladesh and Nigeria

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dc.contributor.author Saidu, Musa Kallah
dc.date.accessioned 2020-10-17T15:00:01Z
dc.date.available 2020-10-17T15:00:01Z
dc.date.issued 2018-11-15
dc.identifier.citation Ajadi, T. O., Salawu, I. O., & Adeoye, F. A. (2008). E-learning and distance education in Nigeria. TOJET: The Turkish Online Journal of Educational Technology, 7(4). Ajayi, O. (2002). Information and Communication Technologies in Africa. A paper presented at the International Centre for Theoretical Physics (ICTP), Rieste, Italy, 11-16. Allen, I. E., & Seaman, J. (2008). Staying the course: Online education in the United States. ERIC. Ballew, T. D. (2017). Teacher perceptions of a technology-based google classroom. Carson-Newman University. Beldarrain, Y. (2006). Distance education trends: Integrating new technologies to foster student interaction and collaboration. Distance Education, 27(2), 139-153. Bowling, A. (1997). Research Methods in Health Investigation and Health Services. Buckingham, UK and Philadelphia: PA: Open University Press. Brown, M. E., & Hocutt, D. L. (2015). Learning to use, useful for learning: a usability study of Google apps for education. Journal of Usability Studies, 10(4), 160-181. Buzhardt, J., & Heitzman-Powell, L. (2005). Stop blaming the teachers: The role of usability testing in bridging the gap between educators and technology. Electronic Journal for the integration of Technology in Education, 4(1), 13-29. Chen, N.-S., Ko, H.-C., & Lin, T. (2004). Synchronous learning modelover the Internet. Paper presented at the null. Chiemeke .S.C., L. O. B. (2007). Information and Communication Technology Penetration in Nigeria: Prospects, Challenges and Merics. Asian Journal of information Technology, 6(3), 280-287. Christensen, C. M., Johnson, C. W., & Horn, M. B. (2010). Disrupting class: McGraw-Hill. Clason, D. L., & Dormody, T. J. (1994). Analyzing data measured by individual Likert-type items. Journal of agricultural education, 35, 4. Coomber, R. (2002). Signing your life away?: Why Research Ethics Committees (REC) shouldn't always require written confirmation that participants in research have been informed of the aims of a study and their rights-the case of criminal populations.(Commentary). Sociological Research Online, 7(1), 1-4. Cooper, H., & Hedges, L. V. (1994). Cooper, Harris, and Larry V. Hedges, eds., The Handbook of Research Synthesis. New York: Russell Sage Foundation, 1994. Core, I. (2005). indicators. Partnership on Measuring ICT for Development. Beirut: UN-ESCWA. Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International journal of man-machine studies, 38(3), 475-487. DiCicco, K. M. (2016). The effects of Google Classroom on teaching social studies for students with learning disabilities. Dockstader, J. (1999). Teachers of the 21st century know the what, why, and how of technology. THE journal, 26(6), 73-75. Farah, S., & Ahmed, M. S. (2014). Potentials of e-learning in Bangladesh: An Analysis. Banglavision, Vol. 13 • No. 1. Farahat, T. (2012). Applying the technology acceptance model to online learning in the Egyptian universities. Procedia-Social and Behavioral Sciences, 64, 95-104. Foster, A. L. (2008). Using Second Life as a platform for education. The Education Digest, 73, 5. Fraenkel, J., Wallen, N., & Hyun, H. (1993). How to Design and Evaluate Research in Education. New York: McGraw-Hill. Iftakhar, S. (2016). Google classroom: what works and how? Journal of Education and Social Sciences, 3, 12-18. Islam, S., & Jahan, N. (2018). Digitalization and Education System: A Survey International Journal of Computer Science and Information Security (IJCSIS),, 16( 1). Konetes, G. D. (2011). Distance education's impact during economic hardship: How distance learning impacts educational institutions and businesses in times of economic hardship. International Journal of Instructional Media, 38(1), 7-16. Kothari, C. R. (2004). Research methodology: Methods and techniques: New Age International. Koufaris, M. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, Measuring e-Commerce in Net-Enabled Organizations, Vol. 13, No. 2, 18. Littlejohn, A., & Pegler, C. (2007). Preparing for blended e-learning: Routledge. M Habes, M. A., R Khalaf. (2018). The Relationship between Social Media and Academic Performance: Facebook Perspective. International Journal of Information Technology and Language Studies (IJITLS), 2(1), 12-18. MA Islam, FBA Kasem, & Khan, M. S.-U.-Z. (2017). Cloud Computing in Education: Potentials and Challenges for Bangladesh. International Journal of Computer Science, Engineering and Applications (IJCSEA), Vol. 7,(No. 5). Madhavi, B., Mohan, V., & Nalla, D. (2018). Improving Attainment of Graduate Attributes using Google Classroom. Journal of Engineering Education Transformations, 31(3), 200-205. Martin, F., & Parker, M. A. (2014). Use of synchronous virtual classrooms: Why, who, and how? Journal of Online Learning and Teaching, 10(2), 192. Masrom, M. (2007). Technology acceptance model and e-learning. Technology, 21(24), 81. Miller, G., Benke, M., Chaloux, B., Ragan, L. C., Schroeder, R., Smutz, W., & Swan, K. (2013). Leading the e-learning transformation of higher education: Meeting the challenges of technology and distance education: Stylus Publishing, LLC. Mkongwa, M. R. (2015). The Implementation of Labour Laws towards Employee’s Leaves Provision in Tanzania: Evidence From Pangani District Council. The Open University Of Tanzania. Mortera-Gutiérrez, F. (2006). Faculty best practices using blended learning in e-learning and face-to-face instruction. International Journal on E-learning, 5(3), 313-337. Neuman, W. L., & Robson, K. (2007). Basics of social research: Qualitative and quantitative approaches. Power, 48, 48. Ojokheta, K. (2010). A Path-Analytic Study of Some Correlates Predicting Persistence and Student's Success in Distance Education in Nigeria. Turkish Online Journal of Distance Education, 11(1), 181-192. OT Faboya, B. A. (2017). Integrating Web 2.0 Tools into Teaching and Learning Process through Mobile Device Technology in Nigerian Schools: Current Status and Future Directions. International Journal of Education and Research, 5( 5 ). Oye, N., Salleh, M., & Iahad, N. (2011). Challenges of e-learning in Nigerian university education based on the experience of developed countries. International Journal of Managing Information Technology, 3(2), 39-48. Pathan, Khan, A.-S., & Hassan, M. (2005). E-Learning: can it help the education in Bangladesh? Prasertsith, K., Kanthawongs, P., & Limpachote, T. (2016). Students' Google Drive Intended Usage: A Case Study of Mathematics Courses in Bangkok University. International Association for Development of the Information Society. Raihan, M. A., & Han, S. L. (2013). Integrating web-based e-learning in TVET to enhance the literacy and socio-economic condition for sustainable development of Bangladesh. J. Educ. Pract., 4(1), 1-11. Rion, M. Z. K., & Hasan, M. M. (2015). An Implementation of Virtual Classroom and Performance Analysis of Teaching-Learning Outcome. Global Journal of Computer Science and Technology: C Software & Data Engineering, 15 (7). Shroff, R. H., Deneen, C. C., & Ng, E. M. (2011). Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4). Sife, A., Lwoga, E., & Sanga, C. (2007). New technologies for teaching and learning: Challenges for higher learning institutions in developing countries. International journal of education and development using ICT, 3(2). Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and applications, 5, 147-158. Trochim, W. M., & Donnelly, J. P. (2001). Research methods knowledge base. Valentine, D. (2002). Distance learning: Promises, problems, and possibilities. Online Journal of Distance Learning Administration, 5(3), 1-11. Wiersma, W., & Jurs, S. G. (2005). Research methods in education: An introduction. Wright, K. B. (2005). Researching Internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of computer-mediated communication, 10(3), JCMC1034. Xanthoula, A. (2015). Collaborative Virtual Classroom. Computer-supported collaboration TEI-Crete, 2015 |Dept. App. Inf. & Multimedia. Yacci, M. (2000). Interactivity demystified: A structural definition for distance education and intelligent computer-based instruction. Educational Technology, 40(4), 5-16. Yusuf, M. O. (2005). Information and Communication Technology and Education: Analysing the Nigerian National Policy for Information Technology. International education journal, 6(3), 316-321. Zafrin, S. (2018). Peer-Assessment in Google Classroom: Motivator of the writing skills. Journal of Education and Social Sciences,, 9(2), 139-145. en_US
dc.identifier.uri http://hdl.handle.net/123456789/535
dc.description Supervised by Dr. Abdullah Al Mamun en_US
dc.description.abstract Surveying teachers’ practice of google classroom in developing countries with the aims to supporting online learning remain worthy of study. The purpose of this study is to investigate the association between Teachers’ practices of Google Classroom based on the followings paired hypothesized constructs: awareness, technology challenges, perceived ease of use, operational ability and behavioral intention to use. Using spearman’s correlation analysis, this study analyzed the association between the constructs of interest. Teachers from Nigeria and Bangladesh were the subjects of the study. The respondents were 54, with 27 each coming from Bangladesh and Nigeria. The results indicated that, the association between the correlated constructs was strong with only moderate association from Bangladesh regarding awareness and perceived ease of use. In contrast, no association found between technology challenges and the perceived ease of use through the entire response. The study definitively answers the questions regarding the correlated constructs. Further studies are required to establish causal relationship if any so as to intensify measures for proper practice. This study also made some recommendations for effective online learning practice in developing countries. en_US
dc.language.iso en en_US
dc.publisher Department of Technical and Vocational Education, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh en_US
dc.title Virtual Collaborative Learning Platform in Developing Countries: The Practices of Google Classroom in the Universities of Bangladesh and Nigeria en_US
dc.type Thesis en_US


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