The Implementation of Self-Determination Theory on the Opportunities and Challenges for Blended e-Learning in Motivating Egyptian Logistic Learners
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The Implementation of Self-Determination Theory on the Opportunities and Challenges for Blended e-Learning in Motivating Egyptian Logistic Learners

Authors: Aisha Tarek Noour, Nick Hubbard

Abstract:

Learner motivation is considered to be an important component for the Blended e-Learning (BL) Method. BL is an effective learning method in multiple domains, which opens several opportunities for its participants to engage in the learning environment. This research explores the learners’ perspective of BL according to the Self-Determination Theory (SDT). It identifies the opportunities and challenges for using the BL in Logistics Education (LE) in Egyptian Higher Education (HE). SDT is approached from different perspectives within the relationship between Intrinsic Motivation (IM), Extrinsic Motivation (EM) and Amotivation (AM). A self-administered face-to-face questionnaire was used to collect data from learners who were geographically widely spread around three colleges of International Transport and Logistics (CILTs) at the Arab Academy for Science, Technology and Maritime Transport (AAST&MT) in Egypt. Six hundred and sixteen undergraduates responded to a questionnaire survey. Respondents were drawn from three branches in Greater Cairo, Alexandria, and Port Said. The data analysis used was SPSS 22 and AMOS 18.

Keywords: Intrinsic Motivation, Extrinsic Motivation, Amotivation, Blended e-Learning, Self Determination Theory.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337723

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[1] Romano, J., Wallace, T. L., Helmick, I. J., Carey, L. M., and Adkins, L., “Study procrastination, achievement, and academic motivation in webbased and blended distance learning,” The Internet and Higher Education, vol. 8, no.4, pp.299–305, 2005.
[2] Chen, Kuan-Chung and Jang, Syh-Jong “Motivation in online learning: Testing a model of self-determination theory” Computers in Human Behavior, vol. 26, no. 4, pp.741-752, 2010.
[3] Jones, A., and Issroff, K., “Learning technologies: Affective and social issues in computer-supported collaborative learning,” Computers & Education, vol. 44, no.4, 395–408, 2005.
[4] Miltiadou, M., and Savenye, W. C., “Applying social cognitive constructs of motivation to enhance student success in online distance education,” Educational Technology Review, vol.11, no.1, pp. 78-95, 2003.
[5] O. Delialioglu,“Student Engagement in Blended Learning Environments with Lecture-Based and Problem-Based Instructional Approaches,” Educational Technology & Society, vol.15, no.3, pp.310– 322, 2012.
[6] A. Mahnken, M. Baumann, M. Meister, V. Schmitt, and M. Fischer, “ Blended Learning in Radiology: Is Self-Determined Learning Really More Effective?,” European Journal of Radiology, vol.78, No.3, pp. 384-387, 2011.
[7] P. Pintrich, and D. Schunk, “Motivation in education: Theory, research, and applications,” 2nd ed. Upper Saddle River, NJ: Prentice Hall. pp.1- 433, 2002
[8] E. Deci, and R. Ryan, “The “what” and “why” of goal pursuits: Human needs and the self- determination of behavior,” Psychological Inquiry,Vol. 11, pp. 227–268, 2000.
[9] Ryan, R., & Deci, E. “Intrinsic and extrinsic motivations: Classic definitions and new directions,” Contemporary educational psychology, vol. 25, no.1, 54–67. 2000.
[10] E. Deci, and R. Ryan, “Self-determination theory: A macro-theory of human motivation, development, and health” Canadian Psychology, vol. 49, pp.182–185, 2008.
[11] R. Vallerand, and C. Ratelle, “Intrinsic and extrinsic motivation: A hierarchical model”. In E. L. Deci & R. M. Ryan (Eds.), Handbook of self-determination research, Rochester, NY: University of Rochester Press, pp. 37–63, 2002.
[12] N. Gillet, R. Vallerand, and M. Lafrenière, “Intrinsic and extrinsic school motivation as a function of age: the mediating role of autonomy support”, Social Psychology Education, vol.15, no.1, pp. 77-95, 2012.
[13] C. Bachman, and C. Stewart, “Self Determination theory and webenhanced course template development,” Technology and teaching, SAGE, Vol.38, no.3, pp.180-188, 2011.
[14] E. Deci, and R. Ryan, Intrinsic Motivation and Self Determination In Human Behavior. New York: Plenum, pp. 1-372,1985.
[15] C. Sansone, W. Rodriguez, K. Nakatani, J. Wynekoop, R. Boggs, and C. Fornaciari, “Best practices for motivating students in e-courses,” AASA (American Association of School Administrators) Professor, vol.25, pp.36–42, 2002.
[16] A. Kluger, and A. DeNisi, “The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory,” Psychological Bulletin, vol.119, pp.254– 284, 1996.
[17] T. Waidee, “A development of computer assisted instruction on computer network system and data communication fundamental for information technology for life”. Unpublished master’s thesis, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand, 2003.
[18] K. Olapiriyakul, and J. Scher, “A guide to establishing hybrid learning courses: employing information technology to create a new learning experience and a case study,” Internet- and- Higher- Education, vol.9, pp.287–301, 2006.
[19] U, Sucaromana, “The Effects of Blended Learning on the Intrinsic Motivation of Thai EFL Students’ English Language Teaching,” Published by Canadian Center of Science and Education, vol. 6, no.5, pp. 141-147, 2013.
[20] R. Osguthorpe, and C. Graham, “Blended learning environments: Definitions and directions,” The Quarterly Review of Distance Education, vol. 4, no.3, pp.227-233, 2003.
[21] J. Cameron, and D. Pierce, “Reinforcement, Reward, and Intrinsic Motivation: A meta-Analysis,” Education and Educational Research, vol. 64,no.3, pp. 363-423, 1994.
[22] S. Vlachopoulos, and C. Karageorghis, “Interaction of External, Introjected, and Identified regulation with exercise enjoyment" Journal of Applied Biobehavioral research, vol.10, no.2, p.113-132, 2005.
[23] G. Lavigne, R. Vallerand, and P. Miquelon, “A motivational Model of persistence in Science education: A self determination theory approach,” European Journal of Psychology of Education, Vol. XXII, no.3, pp.351- 369, 2007.
[24] M. Spittle, K. Jackson, and M. Casey, “Applying self-determination theory to understand the motivation for becoming a physical education teacher,” Teaching and Teacher Education, vol.25, pp.190-197, 2009.
[25] L. Pelletier, M. Fortier, R. Vallerand, and N. Briere, “Associations among perceived autonomy support, forms of self-regulation, and persistence: A prospective study,” Motivation and Emotion, vol.25, pp.279–306, 2001.
[26] W. Wu, and L. Hwang, “The effectiveness of E-Learning for Blended courses in colleges: A Multi-level Empirical Study,” International Journal of Electronic Business Management, vol.8, no.4, pp.312-322, 2010.
[27] J. Corpus, & S. Wormington, “Profiles of Intrinsic and Extrinsic Motivations in Elementary School: A Longitudinal Analysis,” Journal of Experimental Education,” vol. 82, no.4, pp.480-501, 2014.
[28] E. Klinger, “Conceptual framework and issues for a goals-oriented treatment perspective: A commentary on “Where do we go from here? The goal perspective in psychotherapy,” Clinical Psychology: Science and Practice, vol.13,pp. 371–374, 2006.
[29] J. Ireland, S. Martindale, N. Johnson, D. Adams, W. Eboh, and E. Mowatt, “Blended learning in education: Effects on knowledge and attitude,” British Journal of Nursing, vol.18, pp.24-30, 2009
[30] J. Larreamendy-Joerns, and G. Leinhardt, “Going the distance with online education,” Review of Educational Research, vol.76, pp.567-605, 2009.
[31] D. Brunner, “Using blended effectively in Christian higher education,” Christian Scholars Review, vol.36, pp.115-126, 2007.
[32] B. Muirhead, “A Canadian perspective on the uncertain future of distance education,” Distance Education, vol.26,pp.239-254, 2005.
[33] M. Verkroost, L. Meijerink, H. Linsten, and W. Veen, “Finding a Balance in Dimensions of Blended Learning,” International Journal on E-Learning Academic Research Library, vol.7, no. 3, pp.499-522, 2008.
[34] J. Ruiz, M. Mintzer, and M. Leipzig, “The impact of E-learning in medical education,” Public health reports, vol.81, no.3, pp.207-212, 2006.
[35] J. Hair, R. Anderson, R. Tatham, and W. Black, Multivariate Data Analysis. Prentice Hall NSW, Australia, 1998.
[36] R. Darner, “An Empirical Test of Self Determination theory as guide to fostering environmental motivation,” Environmental Education Research, vol.18, no.4, pp.463-472, 2012.
[37] J. Hanisch, M. Caroll, B. Combes, and A. Millington, “Online LIS Education: Towards the Right Balance of Flexibility and Engagement”. 2011