Impact Of Simulations On The Mental Models Of Students In The Online Learning Of Science Concepts

Kumar Laxman*, Dr. Yap Kueh Chin**
* Centre for Excellence in Learning and Teaching,Nanyang Technological University, Singapore.
** National Institute of Education, Nanyang Technological University, Singapore.
Periodicity:September - November'2011
DOI : https://doi.org/10.26634/jsch.7.2.1647

Abstract

Numerous flash or java applet based simulations have been developed to improve students' comprehension of Science concepts, particularly the more complex or 'dry' ones. Simulations have been reported to be effective as instructional aids in scaffolding scientific learning by students since simulations support the explication of implicit understandings. Simulations are usually designed to allow students to actively manipulate variables to experimentially explore the relationships between these variables and their scientific applications. Rich associative thinking skills can also be infused in students by encouraging them to actively manipulate the simulations and learn on their own new science concepts without being prescriptively taught to by teachers as it often happens in Science classrooms. Misconceptions in the learning of Science concepts can more easily be identified and corrected in a timely manner. This paper examines indepth research studies that have been conducted on the effectiveness of integrating simulations in the teaching and learning of Science and the effects of simulations in developing sound understanding of Science precepts. Studies done by one of the author of this paper have also been described in explaining the performance of a group of in-service teachers in the applied use of simulations in the delivery of Science education.

Keywords

Simulations, Science learning, Active Engagement, Educational Technology

How to Cite this Article?

Laxman,K. and Chin ,Y.K.(2011). Impact Of Simulations On The Mental Models Of Students In The Online Learning Of Science Concepts.i-manager’s Journal on School Education Technology, 7(2),1-12. https://doi.org/10.26634/jsch.7.2.1647

References

[1]. Alessi, S. M. & Trollip, S. R.(1991) Computer Based Instruction: Methods and Development. New Jersey: Prentice Hall.
[2]. Bourque, D. R. and Carlson R. C. (1987). Hands-On Versus Computer Simulation Methods in Chemistry. Journal of Chemical Education, 64(3), 232-234.
[3]. Brasell, H. (1987). The Effect of Real-Time Laboratory Graphing on Learning Graphic Representations of Distance and Velocity. Journal of research in Science teaching, 24(4), 385-395.
[4]. Carlsen, D., & Andre, T. (1992). Use of a microcomputer simulation and conceptual change text to overcome student preconceptions about electric circuits. Journal of Computer-based Instruction, 19, 105-109.
[5]. De Jong, T., & Van Joolingen, W.R. (1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 68, 179-201.
[6]. Forinash, K., & Wisman, R. (2001). The viability of distance education science laboratories. T. H. E Journal Online.
[7]. Geban, O., Askar, P., & Ozkan, I. (1992). Effects of computer simulations and problem solving approaches on high schol students. Journal of Educational Research, 86(1), 5-10.
[8]. Grabe, M. & Grabe, C. (1996). Integrating Technology for Meaningful Learning. Boston: Houghton Miflin Co.
[9]. Gredler, M. (1996). Educational games and simulations: A technology in search of a (research) paradigm. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 521-540). New York: Macmillan.
[10]. Hargunani, S.P. (2010). Teaching of Faraday's and Lenz's theory of electromagnetic induction using java based Faraday's lab simulations. Lat. American Journal of Physics Education, 4(3), 520-522.
[11]. Harper, B., Squires, D. and McDougall, A. (2000). Constructivist simulations in the multimedia age. Journal of Educational Multimedia and Hypermedia, 9, 115-130.
[12]. Hennessy, S., Twigger, D., Driver, R., O'Shea, T., O'Malley C. E., Byard, M., Draper, S., Hartley, R., Mohammed, R., & Scalon, E. (1995). A classroom intervention using a computer-augmented curriculum for mechanics. International Journal of Science Education, 17(2), 189-206.
[13]. Kennepohl, D. (2001). Using computer simulations to supplement teaching laboratories in chemistry for distance delivery. Journal of Distance Education, 16(2), 58-65.
[14]. Lajoie, S. P., Lavigne, N. C., Guerrera, C., & Munsie, S. D. (2001). Constructing Knowledge in the Context of BioWorld. Instructional Science, 29 (2), 155-186.
[15]. Lazarowitz, R., & Huppert, J. (1993). Science process skills of 10th-grade biology students in a computer-assisted learning setting. Journal of Computing In Education, 25, 366-382.
[16]. Merrill, P.F., Hammons, K., Vincent, B.R., Reynolds, P.L., Christensen, L., & Tolman, M.N. (1996). Computers in Education (3rd ed.). Boston: Allyn and Bacon.
[17]. Mokros, J.R. and Robert F. T. (1987). The Impact of Microcomputer-Based Labs on Children's Ability to Interpret Graphs. Journal of research in Science teaching, 24(4), 369-383.
[18]. Mintz, R. (1993). Computerized simulation as an inquiry tool. School Science and Mathematics, 93(2), 76-80.
[19]. Reiner, M. (1998). Through experiments and collaborative learning in physics. International Journal of Science Education, 20(9), 1043-1058.
[20]. Rieber, L., Tzeng, S.-C., & Tribble, K. (2004). Discovery learning, representation, and explanation within a computer-based simulation: finding the right mix. Learning and Instruction, 14 , 307-323.
[21]. Rivers, R. H., & Vockell, E. (1987). Computer Simulations to Stimulate Scientific Problem Solving. Journal of Research in Science Teaching, 24(5), 403-415.
[22]. Ronen, M., & Eliahu, M. (1997). Addressing students' common difficulties in basic electricity by qualitative simulation-based activities. Physics Education, 32(6), 392-399.
[23]. Roth, W. M., Roychoudhury. A. (1993). The development of science process skills in authentic context. Journal of Research in Science Teaching, 30, 127-152.
[24]. Scanlon, E., O'Shea, T., Smith, R., Taylor, J., & O'Malley, C. (1993). Running in the rain: using a shared simulation to solve open ended physics problems. Physics Education, 28, 107-113.
[25]. Shlechter, T.M., & Bessemer, D.W. (1992). Computer-based simulation system and role playing: An effective combination for fostering conditional knowledge. Journal of Computer-Based Instruction, 19(4), 110-114.
[26]. Steed, M. (1992). Stella, a simulation construction kit: cognitive process and educational implications. Journal of Computers in Mathematics and Science Teaching, 11, 39-52.
[27]. Tamir, P. (1985/86). Current and Potential Uses of Microcomputers in Science Education. Journal of Computers in Mathematics and Science Teaching, 2, 18-28.
[28]. Tao, P-K, & Gunstone, R.F. (1999). Conceptual change in science through collaborative learning at the computer. International Journal of Science Education, 21(1), 39-57.
[29]. Thomas, R., & Hooper, E. (1991). Simulations: An opportunity we are missing. Journal of Research on Computing in Education, 23, 497-513.
[30]. Yap, K. C. (1997). The minds-on approach: The thinking half in science teacher education. 7th International Conference on Thinking, Nanyang Technological University/National Institute of Education, Singapore, Abstr. p. 151.
[31]. Yap, K. C. (2002). Exploiting IT simulations for interactivity, thinking and assessment in science education. Teaching and Learning, 23(1), 85-97.
[32]. Yap, K. C. (2007, July). Integrating ICT into physics teaching-learning based on sound pedagogical principles. Paper presented at 8th International Conference on Computer Based Learning in Science, Heraklion, Crete.
[33]. Zhou, G.Q., Martin, B., Brouwer, W., & Austen, D. (2000). Computer-based physics and student preconceptions. Alberta Science Educational Journal, 32(2), 23-35.
[34]. Zietsman, A.I., & Hewson, P.W. (1986). Effect of instruction using microcomputer simulations and conceptual change strategies on science learning. Alberta Science Educational Journal, 32(2), 23-35.
[35]. Zydney, J. M. (2005). Eighth-Grade Students Defining Complex Problems: The Effectiveness of Scaffolding in a Multimedia Program. Journal of Educational Multimedia and Hypermedia, 14 (1), 61-90.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.