Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Journal

2013 | 6 | 1 | 4-16

Article title

A FACTOR ANALYSIS OF ATTITUDE OF EDUCATION FRATERNITY TOWARDS THE ROLE OF TECHNOLOGY IN EFFECTIVE LEARNING: AN EMPIRICAL STUDY IN HIGHER EDUCATION INSTITUTION

Title variants

Languages of publication

EN

Abstracts

EN
Use of Technology is empowering teachers and students, and enhancing teaching and students’ achievement which has been highlighted in several studies. Well planned lessons integrating technology are often more engaging, memorable and inspiring to students (Tornabene, 1998). Attitudes refer to one’s positive or negative judgment about a concrete subject. Attitude is a major predictor of future use of technology. Student teachers have positive attitude and are highly enthusiastic about interactive whiteboards as an important feature of teaching and learning, and this motivated them to practice using the technology (Kennewell, & Morgan, 2003). The purpose is to create new opportunities in teaching and learning by integrating computer, multimedia, and network technologies. However, it is not clear whether use of this new technology will automatically result in effective learning or make students dependent on technology to learn. Will Students use Technology appropriately? The same doubts prevailed with the invention of the printing press, radio, and television. All of them have positively contributed in access to information that can be transformed into knowledge and wisdom thereafter. Proper use of technology can become an effective tool to enhance learning. This research is an attempt in understanding the attitude of teachers as well as students towards the role of technology in higher education. The study is based on primary data collected through a sample size of 130 units consisting of 100 students and 30 teachers from universities located in NCR, India. Factor analysis has been conducted to measure the attitude of the teachers and the students. The study was been conducted in NCR, India and leaves the scope of further research in Higher Education across the globe.

Publisher

Journal

Year

Volume

6

Issue

1

Pages

4-16

Physical description

Dates

published
2013-06-01
online
2014-03-25

Contributors

author
  • Gautam Buddha University, India
  • Gautam Buddha University, India

References

  • Albirini, A. A. (2004). An exploration of the factors associated with the attitudes of high school EFL teachers in Syria toward information and communication technology. Unpublished thesis The Ohio State University.
  • Aramide, K.A., & Bolarinwa, O.M. (2010). Availability and use of audiovisual and electronic resources by Distance Learning Students in Nigerian Universities: A case study of National Open University of Nigeria (NOUN), Ibadan Study Centre. Library Philosophy and Practice. Available: http://unllib.unl.edu/LPP/aramide-bolarinwa.htm
  • Austin, M.J. & Brown, L.D. (1999). ‘Internet plagiarism: Developing strategies to curb student academic dishonesty,’ The Internet and higher education 2:21-33.
  • Baldwin, R. C. (1998). Technology’s impact on faculty life and work. In K. H. Gillespie (Ed.), The impact of technology on faculty development, life, and work: New directions for teaching and learning, 76 (pp. 7-21). San Francisco, CA: Jossey-Bass, Inc.
  • Borrego, A., (2007). Use and users of electronic journals at Catalan Universities: The results of a survey. Journal of Academic Librarianship. 33(1):Available from AGORA database http://www.agInternetwork.org
  • Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academies Press.
  • CEO Forum on Education and Technology (2001). The CEO Forum school technology and readiness report: Key building blocks for student achievement in the 21st century. Retrieved May 10, 2006 from http://www.ceoforum.org/downloads/report4.pdf
  • Chen, P. (2008): Applied Mathematical Statistics, Beijing: China Machine Press.
  • Compeaux, D. R., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individuals reactions to computing technology: a longitudinal study. MIS Quarterly, 23(2), 145-158.
  • Dyck, J. L. & Smither, J. A. (1995). Older adults’ acquisition of word processing. The contribution of cognitive abilities and computer anxiety. Computer in Human Behavior, 12 (1), 107-199.
  • Ebijuwa, A.A. (2005). Information and Communication Technology in university libraries: The Nigeria experience. Journal of Library and Information Science 7(1&2): 23-30.
  • Finley, L. & Hartman, D. (2004). Institutional change and resistance: Teacher preparatory faculty and technology integration. Journal of Technology and Teacher Education, 12, 319-337.
  • Govindasamy, T. (2002). Successful implementation of e-learning pedagogical considerations. The Internet and Higher Education, 4, 287-299.
  • Greenfield, P. (2009). University of California - Los Angeles (2009, January 29). Is Technology Producing A Decline In Critical Thinking And Analysis? Science Daily. Retrieved October 22, 2012, from http:// www.sciencedaily.com/releases/2009/01/090128092341.htm
  • Hinman, L.M. (2002). ‘The impact of the internet on our moral lives in academia,’ Ethics and information technology 4: 31-35.
  • Hughes, J. (2005). The role of teacher knowledge and learning experiences in forming technology- integrated pedagogy. Journal of Technology and Teacher Education, 13(2), 277-302.
  • Ibrahim, A.E. (2004). Use and user perception of electronic resources in the United Arab Emirates University (UAEU). Libri 54:21-23.
  • Kazu, I. Y. & Yavulzalp, N. (2008). An analysis of the primary school teachers’ usage of instructional software. International Journal of Emerging Technologies, 3 (1), 45-53.
  • Kennewell, S. & Morgan, A. (2003, July). Student teachers’ experiences and attitudes towards using interactive whiteboards in the teaching and learning of young children. Presented at the IFIP Working Groups 3.5 Conference: Young Children and Learning Technologies. UWS Parramatta. Retrieved 16 July 2007 from http://crpit.com/confpapers/CRPITV34Kennewell1.pdf
  • Khan, B. H. (2000). A framework for web-based learning. Englewood Cliffs, NJ: Educational Technology Publications.
  • Kirschner, P. & Woperies, I. G. J. H. (2003). Pedagogic benchmarks for information and communication technology in teacher education. Technology, Pedagogy and Education, 12 (1), 127-149.
  • Koubek, A., & Jandl, M. (2000). Diversified use of ICT in education. Campus-Wide Information Systems, 17(5), 161-166.
  • Leong, S., & Hawamdeh, S. (1999). Gender and learning attitudes in using web-based science lessons. Information Research, 5(1), Retrieved: January 12, 2004, from: http://informationr.net/ir/5-1/paper66.html
  • Lowther, D. L., Ross, S. M., & Morrison, G. M. (2003). When each one has one: The influences on teaching strategies and student achievement of using laptops in the classroom. Educational Technology Research and Development, 51(3), 23-44.
  • Manochehri, N., & Young, J. (2006). The impact of student learning styles with web-based learning (WBL) or instructor-based learning (IBL) on student knowledge and satisfaction. The Quarterly Review of Distance Education, 7(3), 313-316.
  • Mun, Y. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human- Computer Studies, 59, 431-449.
  • Negroponte, N, Renick, M., & Cassell, J. (1997). Creating a learning revolution. Retrieved on 24 July 2001. Available: http://education.unesco.org/unesco/educprog/lwf/doc/portfolio/opinion8.htm
  • Omotayo, B.O. (2010). Access, use, and attitudes of academics toward electronic journals: A case study of Obafemi Awolowo University, Ile Ife. Library Philosophy and Practice. Available: http://unllib.unl.edu/LPP/omotayo.htm
  • Pea, R. D. (1985). Beyond amplification: Using the computer to reorganize mental functioning. Educational Psychologist, 20(4), 167-182.[Crossref]
  • Rajab, L., & Baqain, Z. (2005). Use of information and communication technology among dental students at the University of Jordan. Journal of Dental Education, 69(3), 387-398.
  • Romanov, K., & Nevgi, A. (2007). Do medical students watch video clips in eLearning and do these facilitate learning? Medical Teacher, 29(5), 490-494.[Crossref]
  • Sandholtz, J., Ringstaff, C., & Dwyer, D. (1997). Teaching with technology: creating student-centered classrooms. New York: Teachers College Press.
  • Schuster, J. H., & Finkelstein, M. J. (2006). The academic faculty: The restructuring of academic work and careers. Baltimore, MD: The Johns Hopkins University Press.
  • Sclater, J., Sicoly, F., Abrami, P. C., & Wade, C. A. (2006). Ubiquitous technology integration in Canadian public schools: Year one study. Canadian Journal of Learning and Technology, 32(1), 9-33.
  • Sharma, C. (2009). Use and impact of e-resources at Guru Gobind Singh Indraprastha University (India): A case study. Electronic Journal of Academic and Special Librarianship 10(1): 3-8.
  • Simpson, R. D., Koballa, T. R. Jr., & Oliver, J. S., & Crawley, F. E. (1994). Research on the affective dimensions of science learning. In D. White (Eds.), Handbook of research on science teaching and learning. (pp. 211-235). New York: Macmillan.
  • Tabata, L. N. & Johnsrud, L. K. (2008). The Impact of Faculty Attitudes toward Technology, Distance Education, and Innovation. Res High Educ ,49, 625-646[WoS]
  • Tenopir, C. (2003). Use and users of electronic library resources: An overview and analysis of recent research studies. Council on Library and Information Resources. Available: http://www.clir.org/pubs/reports/pub120.pdf.
  • Teo, T. (2008a). Assessing the computer attitudes of students: An Asian perspective. Journal of Computers in Human Behaviour, 24, 1634-1642.
  • Teo, T. (2008b). Pre-service teachers’ attitude towards computer use: A Singapore survey. Australian Journal of Educational Technology, 23(4), 413-424.
  • Thanuskodi, S. (2010). Use of Internet and electronic resources for medical science information: A case study. Journal of Communication 1(1): 27-4
  • Thelwall, M. (2002). Evidence for the existence of geographic trends in university Website interlinking. Journal of Documentation, 58(2), 563-574.[Crossref]
  • Tornabene, L. (1998). The SMART Classroom verses the traditional classroom: What the students are saying. 1-11. Retrieved July 1, 2006 from http://eric.ed.gov/ERICWebPortal/contentdelivery/servlet/ERICServlet?accno=ED421963
  • Wang, L. (2010): Multivariate Statistical Analysis: Model, Case and SPSS. Beijing: Economic Science Press.
  • Wilson, J. M. (2001). The technological revolution: Reflections on the proper role of technology in higher education. In P. G. Altbach, P. J. Gumport, & D. B. Johnstone (Eds.), In defense of American higher education (pp. 202-226). Baltimore, MD: Johns Hopkins University Press.
  • Yusuf, M. O. & Balogun, M. R. (2011). Student-Teachers’ Competence and Attitude towards Information and Communication Technology: A Case Study in a Nigerian University. Contemporary Educational Technology, 2(1), 18-36
  • Yusuf, M. O. (1998). A study of the dimensions of teachers’ attitude towards computer education in Nigerian secondary schools. Journal of Computer Literacy, 2(1), 47-58.
  • Zakaria, M. H., Watson, J. & Edwards, S. L. (2010). Investigating the use of Web 2.0 technology by Malaysian students. Multicultural Education & Technology Journal 4(1): 17-29.
  • Zhao, Y., Pugh, K., Sheldon, S., & Byers, J. L. (2002). Conditions for classroom technology innovations. Teachers College Record, 104(3), 482-515. [Crossref]

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.doi-10_2478_sigtem-2013-0056
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.