ENGAGING STUDENTS IN ON-LINE LEARNING: Does Gender Matter in Adoption of Learning Material Design?

Year 2012, Volume: 1 Issue: 3, 15 - 23, 01.10.2012

Norziani Omar Hasmawati Hassan Fatimah Hassan Zuraini Zakarıa Wan Wan Mohd Nor

Abstract

Education is reforming with the birth of internet. Learning is not solely based on classroom basis but also through on-line. The revolution of internet turn learning not solely based on face-to-face but also through virtual teaching. The expansion of teaching deliveries suggests that we need interactive mechanism to accommodate course material for on-line students. However, creating on-line material required the conception of online instructional design. A suitable online material design will permit learners to engage with learning activity. Learners will have opportunity to develop their own understanding. In addition, appropriate learning material will enhance learner’s knowledge construction from their short term memory to their long term memory. The purpose of this paper is to discover the learning material design approach based on gender. The aim of this research is to evaluate teacher’s adoption of online material design. The research used Keller’s ARCS model. The sample consists of 30 teachers from distance education learning. The findings of this study reveal that gender differed in their adoption of learning material design specifically on getting attention of the student. The result also shows that relevance and satisfaction also contribute to gender differences in learning material adoption. Limitations of the study and practical implications of these findings were discussed.

Keywords

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References

• Cicciarelli, M. S. (2008). A Description of Online Instructors use of Design Theory. Journal of Information and Communication Technology Education, 4(1), 25-32.
• Dzakiria, H. (2006). Learning at a Distance is Just Not For a Plea for Knowledge…but continuous Support. Malaysian Journal of Distance Education, 8(2), 89-115.
• Eastmond, D. V. (1998). Adult learners and internet-based distance education. New Directions for Adult and Continuing Education, 78, Jossey-Boss Publishers.
• Feasley, C. E. (1983). Serving Learners at a Distance: A Guide to Program Practises, ASHEERIC Higher Education Research Report No. 5. Washington, DC: Association for the Study Of Higher Education and ERIC Clearinghouse on Higher Education. (ERIC Document Report No. ED23850)
• Hassan, H., Hassan, F., Dahalan, N.,Zakaria, Z., & Mohamad Noor, W. (2009). Developing and Evaluating Rapid E-Learning Mathematics Materials for Distance Learners. Proceeding of 2009 International Conference on Computer and Electrical Engineering, Dubai, UAE, 28-30 December, 2005.
• Holton, E. F., & Swanson, R. A. (1998). The Adult Learner. Gulf Publishing Company, Houston, Texas.
• Ibrahim, D. Z., & Silong, A. D. (2002). Characteristics and Motivations of Adult Students Enrolled in a Post-Graduate Distance Education Program. Malaysian Journal of Distance Education, Vol. 4(1), 61-86.
• Jennings, M. E. (2007). Adult Learning in Workplace Settings: Key Factors Associated With the Development of Performance and Efficacy. Unpublished Dissertation On-line. UMI.
• Ke, F., & Xie, K. (2009). Toward Deep Learning for Adult Students in Online Courses. Internet and Higher Education, 12, 136-145.
• Keller, J. M. (1987a). Strategies for Stimulating the Motivation to Learn. Performance and Instruction Journal, 26 (8), 1-7.
• Keller, J. M. (1987b). The Systematic Process of Motivational Design. Performance and Instruction Journal, 26 (9/10), 1-8.
• Keller, J. M. (1987c). Development and Use of The ARCS Model of Instructional Design. Journal of Instructional Development, 10(3), 2-10.
• King, F. B., Harner, M., & Brown, S. W. (2000). Self-regulatory behavior influences in distance learning. International Journal of Instructional Media, 27, 147−155.
• Moore, M. G., & Kearsley, G. (2005). Distance education: a systems view. Belmont, CA: Wadsworth.
• Motteram, G., & Forrester, G. (2005). Becoming online Distance Learner: What can be learned From Student’s Experiences of Induction to Distance Programs? Distance Education, 26, 261-298.
• Mullen, G.E., & Tallent-Runnels, M. K. (2006). Student outcomes and perceptions of instructors' demands and support in online and traditional classrooms. Internet and Higher Education, Vol. 9, 257-266
• Mohd Nor, W. A., Hassan, H., Hassan, F., Zakaria, Z., & Dahalan, N. (2010). “A Study of Learner Experience in Using E-learning Materials in Distance Education’ Paper presented at The International Conference on e-Commerce, e-Administration, e-Society, eeducation, and e-Technology, Macau, 25-27 January 2010.
• Ozdamli, F., Hursen, G., & Ozcinar, Z. (2009). Teacher candidates’ attitudes towards the instructional technologies. Procedia Social and Behavioral Sciences, 1, 455-463.
• Richardson, J. T. E., & King, E. (1998). Adult students in higher education: burden or boon? The Journal of Higher Education, 69(1), 65−88.
• Rovai, A. P., Ponton, M. K., Wighting, M. J., & Baker, J. D. (2007). A Comparative Analysis of Student Motivation in Traditional Classroom and E-Learning Courses. International Journal on E-Learning, Vol. 6(3), 413-432.
• Song, S. H., & Keller, J. M. (2001). Effectiveness of Motivational Adaptive ComputerAssisted Instruction on the Dynamic Aspects of Motivation. EducationalTechnology, Research and Development, 49(2), 5-22.
• Terrell, S., & Dringus, L. (1999). An Investigation of the Effect of Learning Style on Student Success in an Online Learning Environment. Journal of Educational Technology Systems, 28(3), 231-238.
• Tham,C. M., & Werner, J. M. (2005). Designing and Evaluating E-Learning in Higher Education: A Review and Recommendations. Journal of Leadership and Organizational Studies, 11(2), 15-25.
• Wlodkowski, R. J. (1999). Enhancing Adult Motivation to learn (2nd Ed.) San Francisco: Jossey-Bass.