Effect of Computer Based Visualization on Students' Cognitive Processes in Education Process
DOI:
https://doi.org/10.17770/sie2015vol4.417Keywords:
cognitive processes, science education, visualizationAbstract
Objectivized phenomenon in science education and their elements, revealed for students in the homogenized visual form, stimulate development of the Subject consciousness within the context of learning. Visualization is visual artefact represented in visual way aiming to code or decode information. By stressing this, the use of visualization during lessons of Biology, Physics, Geography and Mathematics becomes very important – it helps for perception, attention, memory and imagination that are needed during learning processes. This article encloses empirical data about effect of computer based visualization on students’ cognitive processes. There were asked 2708 ninth and tenth form classes students in Lithuania. The results show that visualization is useful homogenously both for males and females, but females statistically significantly are sure about the positive effect of visual artifacts in the classroom.
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References
Ainsworth, S. (2008). The educational value of multiple-representations when learning complex scientific concepts. In J. K. Gilbert, M. Reiner, M. Nakhleh (Eds.). Visualization: Theory and practice in science education (pp. 191–208). Dordrecht: Springer.
Amundsen, Ch., Weston, C., McAlpine, L. (2008). Concept mapping to support university academics' analysis of course content. Studies in Higher Education, 33 (6), 633–652.
Chittleborough, G., Treagust, D. (2008). Correct Interpretation of Chemical Diagrams Requires Transforming from One Level of Representation to Another. Research in Science Education, 38 (4), 463–482.
Cook, M. P. (2006). Visual Representations in Science Education: The Influence of Prior Knowledge and Cognitive Load Theory on Instructional Design Principles. Science Education, Vol. 2 DOI:10.1002/acp.1344. Published Online in Wiley InterSience.
Folorunso, O., Ogunseye, O. S. (2008). Challenges in the Adoption of Visualization System: A Survey. Kybernetes, 37 (9–10), 1530–1541.
Gilbert, J. K. (2008). Visualization: An Emergent Field of Practice and Enquiry in Science Education. (pp. 3-25). Model and Modelling in Science Education. Visualization: Theory and Practice in Science Education. Ed. J. K. Gilbert, M. Reiner, Nakleh. Springer.
Khalil, M. K., Paas, F., Johnson, T. E., Payer, A. F. (2005). Interactive and Dynamic Visualizations in Teaching and Learning of Anatomy: A Cognitive Load perspective. The Anatomical Record, 286B (1), 8–14.
Kim, P., Olaciregui, C. (2008). The effects of a concept map-based information discplay in an electronic portfolio system on information processing and retention in a fifth-grade science class covering the Earth’s atmosphere. British Journal of Educational Technology, 39 (4), 700–714.
Lee, Chun-Y., Yuan, Y. (2010). Gender Differences in the Relationship between Taiwanese Adolescents' Mathematics Attitudes and Their Perceptions toward Virtual Manipulatives. International Journal of Science and Mathematics Education, 8, (5), 937–950.
Mammino, L. (2008). Teaching Chemistry with and Without External Representations in Professional Environments with Limited Resources. (pp. 155-186). Model and Modelling in Science Education. Visualization: Theory and Practice in Science Education. Ed. J. K. Gilbert, M. Reiner, Nakleh. Springer.
Mason, D. S. (2006). Small World, Common Ideas. Journal of Chemical Education,Vol. 83, (1), 9–29.
Jared, M. (2009). Visualizing Multi-Analytical Clinical Chemistry Data via Simple Patterns. Laboratory Medicine, 40 (1), 15–18.
McCaffrey, K. J. W., Feely, M., Hennessy, R., Thompson, J. (2008). Visualization of folding in marble outcrops, Connemara, western Ireland: An application of virtual outcrop technology. Geosphere, 4 (3), 588–599.
Oller, A. R. (2006). Medium Velocity Spatter Creation by Mousetraps in a Forensic Science Laboratory. American Biology Teacher, 68 (3), 159–161.
Rogers, B., Denny, D., Stichbury, J. (2010). Towards Teaching Secondary School Physics in an Immersive 3D Game Environment. International Journal on Computing, 1 (1), 30–35.
Rule, A. C. (2005). The rhyming peg mnemonic device applied to learning the mohs scale of hardness. Journal of Geoscience Education, 51 (5), 465–473.
Saprykina, G. A. (2008). Electronic tutorials for school disciplines teaching and learning. Problems of Education in the 21st Century, 5, 145–153.
Sengul, S. A., Cansu, F. I. (2010). Pre-service Teachers’ Perceptions and Preferences About Visualization. Procedia Social and Behavioral Sciences, 2, 2227–2232.
Ubuz, B. (2007). Interpreting a graph and constructing its derivative graph: stability and change in students; conceptions. International Journal of Mathematical Education in Science & Technology, 38 (5), 609–637.
Tasker R., Dalton R. (2008). Visualizing the Molecular World – Design, Evaluation, and Use if Animation. Model and Modelling in Science Education. Visualization: Theory and Practice in Science Education. (103-132). Ed. J. K. Gilbert, M. Reiner, Nakleh. Springer.
Williamson, V. M., José, T. J. (2008). The effects of two-year molecular visualization ecperince on tearchers’ attitudes, content, knowledge and spatial ability. Journal of Chemical Education, 85 (5), 718–723.
