The Role of Electronic Learning Systems to Help Learning Strategies and to Improve Self Motivated Learning

Enhancing Self-Regulated Learning with Electronic Learning Systems

by Devender Singh*,

- Published in Journal of Advances and Scholarly Researches in Allied Education, E-ISSN: 2230-7540

Volume 1, Issue No. 1, Jan 2011, Pages 0 - 0 (0)

Published by: Ignited Minds Journals


ABSTRACT

A course management system (CMS) is a software program or integrated platform thatcontains a series of web-based tools to support a number of activities and course managementprocedures  (Severson, 2004). Examples  of Course Management  Systems are Blackboard,WebCT,  eCollege,  Moodle,  Desire2Learn, Angel, etc.  An argument for  the  adoption  of e- learning environments using CMSs is the flexibility of such environments when reaching out topotential learners in remote areas where brick and mortar institutions are non-existent. It is also believed  that  e-learning  environments  can have  potential  added learning benefits and can improve students‘ and educators‘ self-regulation skills, in particular their metacognitive skills. In spite of this potential to improve learning by means of using a CMS for the delivery of e-learning,  the  features  and functionalities that  have been built into  these  systems are often underutilized. As a consequence, the created learning environments in CMSs do not adequatelyscaffold learners to improve their self- regulation skills. In order to support the improvement of both the learners‘ subject matter knowledge and learning strategy application, the e-learning environments within  CMSs should be  designed  to address learners‘  diversity  in terms of learning styles, prior knowledge, culture, and self-regulation skills. Self-regulative learners are learners who can demonstrate ‗personal  initiative, perseverance and adaptive skill in pursuing learning‘ (Zimmerman, 2002).  Self-regulation requires  adequate  monitoring strategies  and metacognitive skills. The created e-learning environments should encourage the application of learners‘ metacognitive skills by prompting learners to plan, attend to relevant content, and monitor and  evaluate their learning. This  position paper  sets  out  to inform policy  makers,educators, researchers, and others of the importance of a metacognitive e-learning approachwhen designing instruction using Course Management Systems. Such a metacognitive approach will improve the utilization of CMSs to support learners on their path to self-regulation. We argue that a powerful CMS incorporates features and functionalities that can provide extensivescaffolding to learners and support them in becoming self-regulated learners. Finally, we believethat extensive training and  support  is essential  if educators are expected to  develop  and implement CMSs as powerful learning tools.

KEYWORD

electronic learning systems, learning strategies, self-motivated learning, course management systems, e-learning environments, self-regulation skills, metacognitive skills, diversity in learning styles, prior knowledge, culture, CMS, scaffolding, training, support, powerful learning tools

Garnham, C., & Kaleta, R. (2002). Introduction to hybrid courses. Teaching with

Technology Today, 8(10). Retrieved January, 20, 2007 from http://www.uwsa.edu/ttt/articles/garnham.htm. Hamel, C., & Ryan-Jones, D. (2002). Designing instruction with learning objects. International Journal of Educational Technology, 3(1) Hwang, B., & Liu, Y. (1994). A study of proportional reasoning and self-regulation instruction on students‘ conceptual change in conceptions of solution. ED368574. Jones, M. G., Farquhar, J. D., & Surry, D. W. (1995). Using metacognitive theories to design user interfaces for computer-based learning. Educational Technology, 35, 12–22.

Lin, X. (2001). Designing metacognitive activities. Educational Technology Research and

Development, 49(2), 23–40.

Liu, Y. (2004). Faculty development and CMS. In Proceedings of society for information

technology in teacher education international conference 2004 (pp. 2409–2412). McMahon, M. (2002). Designing an on-line environment to scaffold cognitive self-

regulation. In A. Goody, J. Herrington, & M. Northcote (Eds.), Proceedings of the 2002 annual international conference of the Higher Education Research and Development

Society of Australasia (HERDSA) [online conference proceedings]. Available: http://www.herdsa.org.au/publications/. Mitrovic, A., Suraweera, P., Martin, B., & Weerasinghe, A. (2004). DB-suite: Experiences with three intelligent, web-based database tutors. Journal of Interactive Learning Research,

15(4), 409–432.

Morgan, G. (2003). Faculty use of course management systems. Retrieved January 20, 2007 from http://www.educause.edu/ir/ library/pdf/ers0302/rs/ers0302w.pdf. Nelson, T. O., & Narens, L. (1994). Why investigate metacognition? In J. Metcalfe & A. P. Shimamura (Eds.), Metacognition: Knowing about knowing (pp. 1–25). Cambridge: Massachusetts Institute of Technology. Nelson, T. O., & Narens, L. (1990). Metamemory: a theoretical framework and new findings. The Psychology of Learning and Motivation, 26,

125–173.

Nelson, J. (December 2003). Integration of course management system communication

tools in instruction. Thesis submitted to the University of Tennessee, Knoxville for the degree of Doctor of Philosophy. Niederhauser, D., & Stoddart, T. (2001). Teacher‘s instructional perspectives and use of educational software. Teacher & Teacher Education, 17,

15–31.

Nunes, H., & Labidi, S. (2002). Mobile agents for information extraction in Mathnet

system. In Proceedings of the 32nd ASEE/IEEE frontiers in education conference 2002

(F2E-20-F2E-25) Paivio, A. (1986). Mental representations: A dual coding approach. New York: Oxford University Press.

Polsani, P. R. (2003). Use and abuse of reusable learning objects. Journal of Digital

Information, 3(4). Retrieved September 21, 2003 from http://jodi.ecs.soton.ac.uk/Articles/v03/i04/Polsani/.

Schunk, D., & Zimmerman, B. (1994). Self-regulation of learning and performance. Issues and educational applications. Hillsdale, NJ: Eribaum. Severson, A. (June 2004). Faculty

support required for the implementation of a new learning management system. Thesis submitted to the Simon Fraser University for the degree of Master in Distributed Learning. Sosteric, M., & Hesemeier, S. (2002). When is a learning object not an object: A first step

towards a theory of learning objects. International Review of Research in Open and

Distance Learning, 3(2) Swenson, P., & Curtis, L. (2004). Course management systems to learning enhancement systems a necessary evolutionary step in online education.

In Proceedings of society for information technology and teacher education international

conference 2004 (pp. 717–721).

Swinney, L. A. (December 2004). Why faculty use a course management system

(blackboard) to supplement their teaching of tra- ditional undergraduate courses. Thesis submitted to the University of North Dakota for the degree of Doctor of Philosophy (2004).