Design/methodology/approach – Exploratory studies method is adopted for the entire research. My research project is concerned with Field Study. Data were collected from six universities students from which five are top ranked specified university and one is general university with a questionnaire methodology. Correlation and regression techniques were used to find out the strength and direction of the relationship.
Findings – Internet is one of the beneficial tools in this era of IT world not only for business but for academic point of view and enhances the skills and capabilities of students which assist them in studies and in professional life. Student with high CGPA use more internet for their studies and gain more knowledge and information across the world.
Research limitations/implications – The self-report criteria are a limitation. Future research should employ more objective measures of internet use. Also, antecedents of internet use might be explored in other developing economies. I have chosen limited universities and disciplines from a single city Lahore.
Practical implications – To encourage internet usage intentions, it appears worthwhile to create in potential users a sense that the technology is useful, easy to use, and that others have expectations regarding its usage. Keywords: Information Technology (IT), Internet, Cumulative Grade Point Average (CGPA) Introduction
Throughout the world, information and communications technologies (ICTs) are changing the face of education. It has been argued that the transformation of education may be the most important of the many practical revolutions sparked by computer technology. Just as computers are about to replace books (some would argue this has already happened) as our
References: Al-Nuaimy, W., Zhang, J. & Noble, A. (2001). Web-based learning environment for a communications module. Computer Applications in Engineering Education 9, 2, 114–121. Alavi, M. (1994). Computer-mediated collaborative learning: an empirical evaluation. MIS Quarterly, 5, 6, 325–350. Bargeron, D., Grudin, J., Gupta, A. & Sanocki, E. (2002). Asynchronous collaboration around multimedia applied to on-demand education. Journal of Management Information Systems, 18 , 4, 117–145. Barker, P. (2002). Innovation in open and distance learning—successful development of Online and web-based learning. Innovations in Education and Training International, 39, 1, 82–85. Carswell, L., Thomas, P., Petre, M., Price, B. & Richards, M. (2000). Distance education via the Internet: the student experience. British Journal of Educational Technology, 31, 29–46. Chandler, B. (2002). Innovation in open and distance learning. Successful development of online and web-based learning. Studies in Higher Education, 27, 1, 122–123. Chen, S. Y. & Paul, R. J. (2003). Editorial: individual differences in web-based instruction—an overview. British Journal of Educational Technology, 34, 4, 1–5. Coppola, N., Hiltz, S. R. & Rotter, N. G. (2002). Becoming a virtual professor: pedagogical roles and asynchronous learning networks. Journal of Management Information Systems,18, 4, 169–189. Dringus, L. (1999). Online with Dr John A. Scigliano, Part 2. The Internet and Higher Education, 2 , 3, 177–183. Igbaria, M., Parasuraman, S. & Baroudi, J. J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13, 1, 127–143. Igbaria, M. & Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information and Management, 32, 113–121. Kekkonen-Moneta, S. & Moneta, G. B. (2002). E-learning in Hong Kong: comparing learning outcomes in online multimedia and lecture versions of an introductory computing course. British Journal of Educational Technology, 33, 423–433. Igbaria, M., Zinatelli, N., Gragg, P. & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly, 279–305. Kinshuk, R. (2002). Web-based learning and teaching technologies: opportunities and challenges. Online Information Review, 26, 1, 61–62. Lee, M. G. (2001). Profiling students’ adaptation styles in Web-based learning. Computers and Education, 36, 2, 121–132. Martin, M. & Taylor, S. A. (1997). The virtual classroom: the next steps. Educational Technology, 37, 51–55. Owston, R. D. (2000). Evaluating web-based learning environments: strategies and insights. Cyberpsychology and Behavior, 3, 1, 79–87. Pahl, C. (2003). Managing evolution and change in web-based teaching and learning. Computerand Education, 40, 2, 99–114. Palloff, R. M. & Pratt, K. (1999). Building learning communities in cyberspace: effective strategies for the online classroom. San Francisco: Jossey-Bass. Richardson, J. T. E. (2003). Approaches to studying and perceptions of academic quality in a short web-based course. British Journal of Educational Technology, 34, 4, 51–63. Rovai, A. P. (2001). Building classroom community at a distance: a case study. Educational Technology Research and Development, 49, 4, 33–48. Topper, A. (2002). Web-based learning and teaching technologies: opportunities and challenges. Teachers College Record, 104, 1, 151–154. Waiman Cheung and Wayne Huang (2005) Proposing a framework to assess Internet usage in university education: an empirical investigation from a student’s perspective. British Journal of Educational Technology, 36, 2, 237–253. Underwood, J. (2003) Student attitudes towards socially acceptable and unacceptable group working practices, British Journal of Psychology, 94, pp. 319–337. Xie, X. & Zhang, T. (1999). Comparison between on- and off-campus behaviour and adaptability in online learning: a case from China. Behaviour & Information Technology, 20, 281–291. Zhang, P. (1998). A case study of technology used in distance learning. Journal of Research on Technology in Education, 30, 398–419.