Adi Rahmat, Soesy Asiah Soesilowaty, Eni Nuraeni, Yogi Yogi, Imam Nugroho, Meilia Gemilawati


In learning biology, teachers often use visual media, such as diagrams, to help students understand the concept. This study was focused on how students’ mental representation (MR) when they read biological diagrams, either representation convention diagram or spatial isomorphism diagram. The student’s MR was analyzed using a worksheet modified from an MR measurement model of CNET protocol. This model involves three main components of the MR’s working memory: causal network, probability parameter, and utility parameter. Ninety 11th grade students of a senior high school in Bandung voluntarily involved in this study. Only 59 students, however, performed the worksheet completely. The result revealed that each student gave a different pattern of MR either when he/she read convention or spatial diagram. These differences could be traced since the student decides and orders the information elements and makes a causal network. Based on this result, we suggest that this method of MR analysis using a worksheet can be used to understand how student’s working memory works on MR building when they read a diagram. Understanding how the student can construct MR is a necessary platform to provide appropriate visual media that will help the student improve their learning achievement.


mental representation; biological diagram; CNET-protocol; representation convention; isomorphism spatial; repesentasi mental; gambar biologi; konvensi representasi

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Ainsworth, S. (2008). The Educational Value of Multiple-representations when Learning Complex Scientific Concepts. dalam J.K. Gilbert et al., (eds.), Visualization: Theory and Practice in Science Education.

Arentze, T., Dellaert, B.G.C., & Timmermans, H.J.P. (2008). Modeling and Measuring Individuals’ Mental Representations of Complex Spatio-Temporal Decision Problems. Environment and Behavior, 40(6), 843 – 869

Cheng, M. & Gilbert, J. (2015). Students’ Visualization of Diagrams Representing the Human Circulatory System: The Use of Spatial isomorphism and representational conventions. International Journal of Science Edu-cation, 37(1), 136 – 161.

Conway, A. R. A., Jarrold C., Kane, M. J., Miyaki, A., & Towse, J. N. (2007). Variation in Working Memory: An Introduction. dalam Conway, A. R. A., Jarrold C., Kane, M. J., Miyaki, A., & Towse, J. N. (Eds.). Oxford: Oxford University Press, Inc.

Haslam, C. Y., & Hamilton, R. J. (2010). Investigating the Use of Integrated Instructions to Reduce the Cognitive Load Associated with Doing Practical Work in Secondary School Science. International Journal of Science Education, 32(13), 1715 – 1737.

Hegarty, M. (2011). The cognitive science of visual-spatial displays: Implications for design. Topics in Cognitive Science, 3(3), 446-474.

Horeni, O., Arentze, T. A., Dellaert, B. G. C, & Timmermans, H. J. P. (2014). Online measurement of mental representations of complex spatial decision problems and hard laddering. Transportation Research Part F: Traffic Psychology and Behaviour, 22, 170-183.

Kalyuga, S. (2010), Schema Acquisition and Source of Cognitive Load, dalam Plass, J.L. et al (ed.), Cognitive Load Theory, Cambridge University Press.

Lazarowitz, R. & Naim, R. (2013). Learning the cell structures with three-dimensional models: students achievement by methods, type of school and questions’ cognitive level. Sci. Educ. Technol., 22, 500-508.

Liu, Y., Won, M., & Treagust, D. F. (2014). Secondary biology teachers’ use of different types of diagrams for different purposes. Dalam B. Eilam & J. K. Gilbert (Eds.), Science teachers’ use of visual representations. Dordrecht: Springer Science.

Martini, F., Timmons, M. J., & Tallitsch, R. B. (2015). Human anatomy 8th Edition. Upper Saddle River, N.J: Prentice Hall.

Mayer, R. E., & Moreno, R. (2003). Nine Ways to Reduce Cognitive Load in Multimedia Learning. Educational Psychologist. 38(1), 43-52.

Paivio, A. (1990). Mental representations: A dual coding approach. N.Y.: Oxford University Press.

Plass, J.L., Kalyuga, S., & Leutner, D. (2010). Individual Differences and Cognitive Load Theory, dalam Plass J. L., Moreno R., & Brünken, R. (eds.), Cognitive Load Theory. Cambridge: Cambridge University Press.

Pozzer, L. L., & Roth, W.-M. (2003). Prevalence, function, and structure of photographs in high school biology textbooks. Journal of Research in Science Teaching, 40(10), 1089-1114.

Reid D. J. (1990a). The role of pictures in learning biology: Part 1, perception and observation. Journal of Biological Education, 24(3), 161-172.

Reid D. J. (1990b). The role of pictures in learning biology: Part 2, picture-text processing. Journal of Biological Education, 24(4), 251- 258.

Reid, D. J. (1984). The picture superiority effect and biology education. Journal of Biological Education, 18(1), 29-36.

Root. (2013). X ray body organs HD pictures. [Online]: Diakses tanggal 22 Maret 2016.

Sima, J.K. Schultheis, H., & Barkowsky, T. (2013). Difference Between Spatial and Visual Mental Representations. Frontiers in Psychology, 4(240), 1-15.

Sternberg, R. J. (1996). Cognitive Psychology. Orlando: Harcourt Brace College Publishers.

Sweller, J. (2005). Cognitive Theory of Multimedia Learning. Dalam R. E. Mayer (Ed.), Cambridge Handbook of Multimedia Learning. New York: Cambridge University Press.

Tversky, B. (2003). Structures of mental spaces. Environment and Behavior, 35, 66 – 80.



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