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THE BIGGS AND MOORE MODEL IN E-LEARNING: The role of motivation and collaboration as moderators

Journal Name:

  • The Turkish Online Journal of Distance Education

Publication Year:

  • 2012

Key Words:

Author Name
Abstract (2. Language): 
The purpose of this paper is to report the findings of a research conducted to evaluate the effect of e-learning experience on students’ perceived learning outcomes, and more specifically the role of motivation and collaboration as moderators between the e-learning experience and the learning outcome. The perceived learning outcome was measured with whether the students perceived to learn more in e-learning vis-à-vis traditional learning context. The participants came from an undergraduate course at Tamk University of Applied Sciences in Tampere, Finland. The Biggs and Moore learning model indicates that the process variables (motivation and collaboration in this study) have a mediating role. It was found out in this study, however, that these process variables have a moderating role rather than mediating role. Specific recommendations for the practitioners are provided, and implications for educators are discussed. Finally suggestions for further research on e-learning are provided.
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  • 2
169-179
  • English

REFERENCES

References: 

Allen, M., Mabry, E., Mattrey, M., Bourhis, J., Titsworth, S., & Burrell, N. (2004). Evaluating the effectiveness of distance learning: A comparison using meta-analysis. Journal of Communication, 54(3), 406-420.
Applefield, J. M., Huber, R., & Moallem, M. (2001). Constructivism in theory and practice: Toward a better understanding. The High School Journal, 84(2), 35-53.
Becker, W. E. (1997). Teaching economics to undergraduates. Journal of Economic Literature, 35(3), 1347-1373.
Biggs, J., & Moore, P. (1993). The process of learning 3rd. ed. Australia: Prentice Hall.
Cleveland, P. L., & Bailey, E. K. (1994). Organizing for distance education. Proceedings of the Twenty-ninth Annual Hawaii International Conference on Systems Sciences, 134–141.
Cybinski, P., & Selvanathan, S. (2005). Learning experience and learning effectiveness in undergraduate statistics modeling performance in traditional and flexible learning environments. Decision Sciences The Journal of Innovative Education, 3(2), 251-271.
Dewey, J. (1997). Experience and education. New York: Simon and Schuster. (Originally published 1938).
Du, J., Zhang, K., Olinzock, A., & Adams, J. (2008). Graduate students' perspectives on the meaningful nature of online discussions. Journal of Interactive Learning Research, 19(1), 21-36.
Entwhistle, N., McCune, V., & Walker, P. (2002). Conceptions, styles and approaches within higher education: analytic abstractions and everyday life. In R.J. Sternberg & L. Zhang (Eds.), Perspectives on Thinking, Learning, and Cognitive Styles. Mahwah, NJ: Erlbaum.
Frazier, P.A., Tix, A.P., & Barron, K.E. (2004). Testing moderator and mediator effects in counseling. Psychology Research, 51(1), 115-134.
Gal, I., & Garfield, J. B. (1997). The assessment challenge in statistics education. Amsterdam; Washington DC: IOS Press.
178
Gravoso, R.S., Pasa, A.E., & Mori, T. (2002). Influence of students’ prior learning experiences, learning conceptions and approaches on their learning outcomes. Retrieved from 119Hwww.ecu.edu.au/conferences/herdsa/main/papers/ref/pdf/Gravoso.pdf
Han, I., & Park, I. (2008). The effects of epistemic belief and discussion-facilitating strategy on interaction and satisfaction in online discussion. Journal of Interactive Learning Research, 19(4), 649-662
Hanson, W., & Kalyanam, K. (2007). Internet Marketing and eCommerce. Canada: Thomson South&Western.
Havard, B., Du, J., & Xu, J.. (2008). Online collaborative learning and communication media. Journal of Interactive Learning Research, 19(1), 37-50.
Haverila, M. (2010). Factors Related to Perceived Learning Outcomes in an Undergraduate e-Learning Course. International Journal of Knowledge and Learning, 6(4), DOI: 10.1504/IJKL.2010.038652.
Hishina, M., Okada, R. & Suzuki, K. (2005). Group formation for web-based collaborative learning with personality information. International Journal on E-Learning, 4(3), 351-364
Hede, A. (2002). Integrated Model of Multimedia Effects on Learning. Journal of Educational Multimedia and Hypermedia, 11(2), 177-191.
Hofstede, G. (2011). Geert Hofstede cultural dimensions. Retrieved from 120Hhttp://www.geert-hofstede.com
Huang, H. (2002). Toward constructivism for adult learners in online learning environments. British Journal of Educational Technology, 33(1), 27–37.
Janicki, T., & Steinberg, G. (2003). Evaluation of a computer-supported learning system. Decision Sciences The Journal of Innovative Education, 1(2), 203-223.
JMP 1-2-3 (2010). Statistical Software Package. SAS Institute.
Jonassen, D. H. (1994). Thinking technology: Toward a constructivist design model. Educational Technology, 34(4), 34–37.
Kim, K. (2009). motivational challenges of adult learners in self-directed e-learning. Journal of Interactive Learning Research, 20(3), 317-335.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Englewood Cliffs, N.J.: Prentice-Hall.
Leidner, D. E., & Järvenpää, S. L. (1995). The use of information technology to enhance management school education: A Theoretical View. MIS Quarterly, 19(3), 265–291.
Liaw, S. (2004). Considerations for developing constructivist web-based learning. International Journal of Instructional Media, 31(3), 309-321.
Liaw, S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of E-learning: A case study of the Blackboard System. Computers & Education, 51(2), 864-873.
179
Mallows, C. L. (1973). Some comments on Cp. Technometrics, 15(4), 661-75.
O’Neill, K., Singh, G., & O’Donoghue, J. (2004). Implementing e-learning programmes for Higher Education: A review of the literature. Journal of Information Technology Education, 3(3), 313-323.
Pirani, J.A. (2004). supporting e-learning in higher education. Retrieved from 121Hhttp://net.educause.edu/ir/library/pdf/ERS0303/ecm0303.pdf.
Rounds, J. B., & Hendel, D. D. (1980). Measurement and dimensionality of mathematical anxiety. Journal of Counseling Psychology, 27(2), 138–149.
Sharpe, R., & Benfield, G. (2005). The student experience of E-learning in Higher Education: A review of the literature. Brookes eJournal of Learning and Teaching, 1(3), 1-10.
Smith, R. (2008). Motivational Factors in E-Learning. George Washington University. Retrieved from: 122Hhttp://www.ruthcsmith.com/GWU Papers/Motivation.pdf.
Stokes C.W., Cannavina C., & Cannavina G. (2004). The state of readiness of student health professionals for web-based learning environments. Health Informatics Journal, 10, 3, 195-204.
Stonebraker, P.W., and Hazeltine, J.E. (2004). Virtual learning effectiveness: An examination of the process. The Learning Organization, 11(3), 209 – 225.
Tinker, R. (2001). E-Learning quality: The concord model for learning from a distance. NASSP Bulletin, 85(628), 36-46.
Volery, T., & Lord, D. (2000). Critical success factors in online education. The International Journal of Education Management, 14(5), 216 – 223.
Worldwidelearn. (2011). E-Learning Trends. Retrieved from 123Hhttp://www.worldwidelearn.com/e-learning-industry/trends.htm

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