e-Learning Material Presentation and Visualization Types and Schemes

Nauris Paulins, Signe Balina, Irina Arhipova

Abstract

Multimedia and content visualisation provide ability to transform electronic materials into more dynamic format. This can provide positive aspect on learning, but also can overload the limited information processing capacity in human brains. Cognitive load in technology-enhanced learning is closely related to the learning styles of learners. This study examines interactions between learning styles of students and how these are related to student’s working memory and cognitive traits. To investigate the learning styles of learners the Felder- Soloman questionnaire was chosen. It allows analyse students’ learning styles with respect to the Felder-Silverman learning style model, which is the most appropriate for a web-based learning. Also the interaciton between cognitive traits and learning styles is analysed. The results of this analysis prove the importance of multimodal learning in technology-enhanced learning. Also some relationships between learners with higher working memory capacity and learners with lower working memory capacity were demonstrated. The results will help to improve students’ model for better adaptivity of learning materials.

References

  1. Bannert, M., 2002. Managing cognitive load - recent trends in cognitive load theory. Learn. Instr. 12, 139- 146.
  2. Chen, S.Y., Macredie, R.D., 2002. Cognitive styles and hypermedia navigation: Development of a learning model. J. Am. Soc. Inf. Sci. Technol. 53, 3-15.
  3. Fadel, C., Lemke, C., 2008. Multimodal Learning Through Media?: What the Research Says. Cisco Syst. 1-24.
  4. Felder, R.M., Silverman, L.K., 1998. LEARNING AND TEACHING STYLES. Engr. Educ. 78, 674-681.
  5. Felder, R.M., Soloman, B.A., 1997. Index of Learning Styles questionaire [WWW Document]. URL http:// www.engr.ncsu.edu/learningstyles/ (accessed 9.20.13).
  6. Gerven, P.W.M. Van, Paas, F.G.W.C., Merrie, J.J.G. Van, 2002. Cognitive load theory and aging?: effects of worked examples on training efficiency. Learn. Instr. 12, 87-105.
  7. Hollender, N., Hofmann, C., Deneke, M., Schmitz, B., 2010. Integrating cognitive load theory and concepts of human-computer interaction. Comput. Human Behav. 26, 1278-1288.
  8. Honey, P., Mumford, A., 1982. The Manual of Learning Styles. P. Honey & L. Mumford.
  9. Kalyuga, S., 2011. Effects of information transiency in multimedia learning. Procedia - Soc. Behav. Sci. 30, 307-311.
  10. Kolb, D.., 1984. Experiential learning?: experience as the source of learning and development. Engelwood Cliffs, NJ: Prentice Hall.
  11. Kuljis, J., Liu, F., 2005. A Comparison of Learning Style Theories on the Suitability for elearning. Web Technol. Appl. Serv. 191-197.
  12. Lin, T.-Y., 2003. User exploration based adaption in adaptive learning systems. Int.J.Inform.Syst.Educ. 1, 22-31.
  13. Lin, T.-Y., 2007. Cognitive Trait Model for Adaptive Learning Environments. Massey University, New Zeland.
  14. Mayer, R.E., 2001. Multimedia learning. UK: Cambridge University Press, Cambridge.
  15. Sankey, M., Birch, D., Gardiner, M., 2010. Engaging students through multimodal learning environments?: The journey continues. PCurriculum, Technol. Transform. an Unkn. Futur. Proc. ascilite Sydney 2010 852-863.
  16. Sweller, J., Merrienboer, J.J.G. Van, Paas, F.G.W.C., 1998. Cognitive Architecture and Instructional Design. Educ. Psyhology 10, 251-296.
  17. Wang, P., Hawk, W.B., Tenopir, C., 2000. Users' interaction with World Wide Web resources: an exploratory study using a holistic approach. Inf. Process. Manag. 36, 229-251.
  18. Witkin, H. A., Moore, C. A., Goodenough, D. R., Cox, P. W., 1997. Field dependent and field independent cognetive style and their deucaiton implications. Rev. Educ. Res. 47, 1-64.
  19. Wong, A., Leahy, W., Marcus, N., Sweller, J., 2012. Cognitive load theory , the transient information effect and e-learning. Learn. Instr. 22, 449-457.
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Paper Citation


in Harvard Style

Paulins N., Balina S. and Arhipova I. (2014). e-Learning Material Presentation and Visualization Types and Schemes . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-029-1, pages 138-143. DOI: 10.5220/0004968501380143


in Bibtex Style

@conference{iceis14,
author={Nauris Paulins and Signe Balina and Irina Arhipova},
title={e-Learning Material Presentation and Visualization Types and Schemes},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2014},
pages={138-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004968501380143},
isbn={978-989-758-029-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - e-Learning Material Presentation and Visualization Types and Schemes
SN - 978-989-758-029-1
AU - Paulins N.
AU - Balina S.
AU - Arhipova I.
PY - 2014
SP - 138
EP - 143
DO - 10.5220/0004968501380143