The week's pick
Random Articles
Reseach Article
A Framework of E-learning System for Students’ Engagement with Cognitive Tasks to Enhance Learning Performance
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 98 - Number 2 |
| Year of Publication: 2014 |
| Authors: Oluwatoyin Catherine Agbonifo, Olumide Sunday Adewale |
10.5120/17152-7203
|
Oluwatoyin Catherine Agbonifo, Olumide Sunday Adewale . A Framework of E-learning System for Students’ Engagement with Cognitive Tasks to Enhance Learning Performance. International Journal of Computer Applications. 98, 2 ( July 2014), 1-7. DOI=10.5120/17152-7203
Abstract
The use of integrating technology with learning has been a pivot that transformed the role of instructors and students; and makes it both technology-driven and learner-centric control-mediated. It has been a research-based issue in connecting technology and learning theories for effective learning performance. Learning should be a platform where students are actively engaged in a process to construct a realistic and meaningful knowledge suitable to solve an impressing and confronting societal problems for sustainable development. The approach to learning has been in diverse ways from the fundamental principles of learning theories and strategies. The emphasis of learning is in making it a platform where students can be attracted to it to study effectively, for easy retention and recall and able to apply the knowledge acquisition to futuristic similar real-world problems. Many researchers have worked along with this school of thought; all is to enhance study performance of students. Hence, the research paper develops a framework of e-learning system that engages students in active cognitive tasks to enhance their learning performance.
References
- Agbonifo, O. C. 2012. Design of a Neurofuzzy-Based Model for Active and Collaborative Online Learning. Ph. D Thesis submitted in the Department of Computer Science, Federal University of Technology, Akure, Nigeria, pp 1-176.
- Alasraj, A. , Freeman, M. and. Chandler, P. A. 2013. Considering cognitive load theory within e-Learning environments. Proceedings of the Asia Conference on Information Systems (PACIS) pp. 1-13.
- Amy, S. C. L. and John, M. 2013. Use of Telecommunications Technologies for Online Community and Distance Learning,. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications pp. 461-464.
- Aristogiannis, G. 2011. Design and Development of a Web-based Interactive Software Tool for Teaching Operating Systems. Journal of Information Technology Education Volume 10, pp. 1-17.
- Bennett, R. E. , Persky, H. , Weiss, A. and Jenkins, F. 2010. Measuring Problem Solving with Technology: A Demonstration Study for NAEP. Journal of Technology, Learning, and Assessment, 8(8), pp. 1-45, ISSN 1540-2525, Available at: http://www. jtla. org.
- ChanLin, L. and Chou, T. 2013. Eportfolio for Learning and Reflective Growth. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications pp. 25-32.
- Coccoli, M. , Vercelli, G. and Vivanet, G. 2013. Semantic wiki for learning and teaching computer science. Journal of e-Learning and Knowledge Society, vol. 9, No. 2, 169-179.
- Code, J. and Zap, N. 2013. Assessments for Learning, of Learning, and as Learning in 3D Immersive Virtual Environments,. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications pp. 159-166, Available at: http://www. editlib. org/p/111949,
- Dirkin, K. 2013. Grounding Online Course Design in Bloom's Revised Taxonomy. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications pp. 176-178. Available at http://www. editlib. org/p/111951.
- Ford, N. 2000. Cognitive styles and virtual environments. Journal of the American Society for Information Science, 51(6), 543-557.
- Honey, P. and Mumford, H. 1992. The Manual of Learning Styles. Maidenhead: Peter Honey.
- Huang, T. -H. , Liu Y. -C and Chang, H. -C . 2012. Learning Achievement in Solving Word-Based Mathematical Questions through a Computer-Assisted Learning System, Journal of Educational Technology & Society, 15 (1), 248–259.
- Kolb, D. A. 1985. Learning style inventory and technical manual. Boston, MA: McBer.
- Paek, S. , Hoffman, D. L and Black, J. B. 2013. Using Touch-Based Input to Promote Student Math Learning in a Multimedia Learning Environment. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 314-323. Available at: http://www. editlib. org/p/111975.
- Riding, R. J. 1991. Cognitive styles analysis. Birmingham: Learning and Training Technology.
- Riding, R. J. 1997. On the nature of cognitive style. Educational Psychology, 17, 29-50.
- Rosenberg, M. J. 2006. Beyond E-Learning: Approaches and Technologies to Enhance Organizational Knowledge, Learning, and Performance. Pfeiffer, 989 Market Street, San Francisco, CA 94103-1741, Available at: www. pfeiffer. com.
- Raúl and FermÃn 2012. Web 2. 0 and Higher Education: Its educational use in the University Environment. In T. Amiel and B. Wilson (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 899-904.
- Tung-Cheng, H. , Ming-Che, L. and Chien-Yuan. S. 2013. Designing and implementing a personalized remedial learning system for enhancing the programming learning,. Educational Technology and Society, 16 (4), 32–46.
- Walker, R. Mace,, D. and Barnes, T. 2013. You Decide: A Novel Multimedia Format for Case Study Assignments in Online and Blended Learning Environments. In Jan Herrington et al. (Eds. ), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications pp. 427-432. Available at: http://www. editlib. org/p/111993.
- Yang, T. -C. , Hwang, G. -J. and Yang, S. J. -H. 2013. Development of an adaptive learning system with multiple perspectives based on students' learning styles and cognitive styles. Journal of Educational Technology & Society, 16 (4), 185–200.
- Yasir and Sami, 2011. An approach to Adaptive E-Learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and evaluation. International Journal of Library and Information Science Vol. 3(1), pp. 15-28. Available at: http://www. academicjournals. org/ijlis.
- Tsianos, N. , Germanakos, P. , Lekkas, Z. , Mourlas, C. , Belk, M. , Christodoulou, E. , Spanoudis, G. and Samaras, G. 2008. Enhancing eLearning Environments with Users' Cognitive Factors: The case of EKPAIDEION. Proceedings of the 7th European Conference on e-Learning pp. 877-889.
Index Terms
Keywords