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biology concepts hemispheric preference intuitive reasoning right hemisphere students misconceptions

The Role of Hemispheric Preference in Student Misconceptions in Biology

Nektarios Lagoudakis , Filippos Vlachos , Vasilia Christidou , Denis Vavougios , Marianthi Batsila

The various intuitive reasoning types in many cases comprise the core of students’ misconceptions about concepts, procedures and phenomena that .

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The various intuitive reasoning types in many cases comprise the core of students’ misconceptions about concepts, procedures and phenomena that pertain to natural sciences. Some researchers support the existence of a relatively closer connection between the right hemisphere and intuitive thought, mainly due to a notably closer relation of individual intuitive cognitive processes with specific right hemisphere regions. It has been suggested that individuals show a different preference in making use of each hemisphere’s cognitive capacity, a tendency which has been termed Hemisphericity or Hemisphere Preference. The purpose of the present study was to examine the association between hemispheric preference and students’ misconceptions. A correlational explanatory research approach was implemented involving 100 seventh grade students from a public secondary school. Participants completed a hemispheric preference test and a misconceptions documentation tool. The results revealed that there wasn’t any differentiation in the mean score of misconceptions among the students with right hemispheric dominance and those with left hemispheric dominance. These findings imply a number of things: (a) the potential types of intuitive processes, that might be activated by the students, in interpreting the biology procedures and phenomena and their total resultant effect on students’ answers, probably do not have any deep connection with the right hemisphere; (b) it is also possible that students might use reflective and analytic thought more frequently than we would have expected.

Keywords: Biology concepts, hemispheric preference, intuitive reasoning, right hemisphere, students’ misconceptions.

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References

American Association for the Advancement of Science. (2014). AAAS science assessment. https://bit.ly/3X7IMBq

Arenson, M., & Coley, J. D. (2018). Anthropocentric by default? Attribution of familiar and novel properties to living things. Cognitive Science, 42(1), 253-285. https://doi.org/10.1111/cogs.12501

Arnaudin, M. W., & Mintzes, J. J. (1985). Students’ alternative conceptions of the human circulatory system: A cross-age study. Science Education69(5), 721-733. https://doi.org/10.1002/sce.3730690513

Bogen, J. E. (1969). The other side of the brain: II. An appositional mind. Bulletin of the Los Angeles Neurological Society, 34(3), 135–162.

Bolte, A., & Goschke, T. (2005). On the speed of intuition: Intuitive judgments of semantic coherence under different response deadlines. Memory & Cognition, 33(7), 1248–1255.  https://doi.org/10.3758/bf03193226 

Bolte, A., & Goschke, T. (2008). Intuition in the context of object perception: Intuitive gestalt judgments rest on the unconscious activation of semantic representations. Cognition108(3), 608–616. https://doi.org/10.1016/j.cognition.2008.05.001

Bowden, E. M., & Beeman, M. J. (1998). Getting the right idea: Semantic activation in the right hemisphere may help solve insight problems. Psychological Science, 9(6), 435–440. https://doi.org/10.1111/1467-9280.00082

Carey, S. (1985). Conceptual change in childhood. MIT Press.

Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education (6th ed.). Routledge. https://doi.org/10.4324/9780203029053

Coley, J. D., Arenson, M., Xu, Y., & Tanner, K. D. (2017). Intuitive biological thought: Developmental changes and effects of biology education in late adolescence. Cognitive Psychology, 92, 1–21. https://doi.org/10.1016/j.cogpsych.2016.11.001

Coley, J. D., & Tanner, K. (2015). Relations between intuitive biological thinking and biological misconceptions in biology majors and nonmajors. CBE-Life Sciences Education14(1), Article ar8. https://doi.org/10.1187/cbe.14-06-0094

Coley, J. D., & Tanner, K. D. (2012). Common origins of diverse misconceptions: Cognitive principles and the development of biology thinking. CBE-Life Sciences Education11(3), 209–215. https://doi.org/10.1187/cbe.12-06-0074

Corballis, M. C., & Häberling, I. S. (2017). The many sides of hemispheric asymmetry: A selective review and outlook. Journal of the International Neuropsychological Society23(9-10), 710–718. https://doi.org/10.1017/S1355617717000376

Creswell, J. D. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Pearson Education, Inc.

Dane, E., & Pratt, M. G. (2009). Conceptualizing and measuring intuition: A review of recent trends. In G. P. Hodgkinson & J. K. Ford (Eds.), International Review of Industrial and Organizational Psychology (pp. 1-49). Wiley. https://doi.org/10.1002/9780470745267.ch1

Deppe, M., Ringelstein, E. B., & Knecht, S. (2004). The investigation of functional brain lateralization by transcranial Doppler sonography. NeuroImage21(3), 1124–1146. https://doi.org/10.1016/j.neuroimage.2003.10.016

Díaz-Morales, J. F., & Escribano Barreno, C. (2014). Hemisphere Preference Test: Psychometric properties and relations with academic performance among adolescents. Laterality19(6), 677–689. https://doi.org/10.1080/1357650X.2014.897350

diSessa, A. A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10, 105-225. https://doi.org/10.1080/07370008.1985.9649008

Dörfler, V., & Ackermann, F. (2012). Understanding intuition: The case for two forms of intuition. Management Learning, 43(5), 545–564. https://doi.org/10.1177/1350507611434686

Driver, R., Squires, A., Rushworth, P., & Wood-Robinson, V. (2014). Making sense of secondary science: Research into children’s ideas (2nd ed.). Routledge. https://doi.org/10.4324/9781315747415

Ebel, R. L., & Frisbie, D. A. (1991). Essentials of educational measurement (5th ed.). Prentice-Hall.

Evans, J. S. B. T. (2010). Intuition and reasoning: A dual-process perspective. Psychological Inquiry, 21(4), 313–326. https://doi.org/10.1080/1047840X.2010.521057

Fischbein, E. (2002). Intuition in science and mathematics: An educational approach. Springer. https://doi.org/10.1007/0-306-47237-6

Gardner, H. (1978). What we know (and don't know) about the two halves of the brain. Journal of Aesthetic Education, 12(1), 113–119. https://doi.org/10.2307/3331854

Gazzaniga, M. S., Ivry, R. B., & Mangun, G. R. (2014). Cognitive neuroscience: The biology of the mind (4th ed.). W. W. Norton. https://doi.org/10.7551/mitpress/9504.001.0001 

Happaney, K., Zelazo, P. D., & Stuss, D. T. (2004). Development of orbitofrontal function: Current themes and future directions. Brain and Cognition55(1), 1–10. https://doi.org/10.1016/j.bandc.2004.01.001

Hatano, G., & Inagaki, K. (1994). Young children’s naive theory of biology. Cognition, 50(1-3), 171–188. https://doi.org/10.1016/0010-0277(94)90027-2

Hatano, G., & Inagaki, K. (2000). Domain-specific constraints on conceptual development. International Journal of Behavioral Development, 24(3), 267–275. https://doi.org/10.1080/01650250050118240

Heckler, A. F. (2011). The ubiquitous patterns of incorrect answers to science questions: The role of automatic, bottom-up processes. Psychology of Learning and Motivation, 55, 227-267. https://doi.org/10.1016/B978-0-12-387691-1.00008-9

Hellige, J. B. (1993). Hemispheric asymmetry: What's right and what's left. Harvard University Press.

Ilg, R., Vogeley, K., Goschke, T., Bolte, A., Shah, J. N., Pöppel, E., & Fink, G. R. (2007). Neural processes underlying intuitive coherence judgments as revealed by fMRI on a semantic judgment task. NeuroImage38(1), 228–238. https://doi.org/10.1016/j.neuroimage.2007.07.014

Inagaki, K., & Hatano, G. (2006). Young children’s conceptions of the biological world. Current Directions in Psychological Science, 15(4), 177-181. https://doi.org/10.1111/j.1467-8721.2006.00431.x

Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux.

Kelemen, D. (2012). Teleological minds: How natural intuitions about agency and purpose influence learning about evolution. In K. S. Rosengren, S. K. Brem, E. M. Evans, & G. M. Sinatra (Eds.), Evolution challenges: Integrating research and practice in teaching and learning about evolution (pp. 66-92). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199730421.003.0004

Kelemen, D., Rottman, J., & Seston, R. (2012). Professional physical scientists display tenacious teleological tendencies: Purpose-based reasoning as a cognitive default. Journal of Experimental Psychology General, 142(4), 1074-1083. https://doi.org/10.1037/a0030399

Köse, S. (2008). Diagnosing student misconceptions: Using drawings as a research method. World Applied Sciences Journal, 3(2), 283-293. http://www.idosi.org/wasj/wasj3(2)/20.pdf

Kryjevskaia, M., MacStetzer, R., & Grosz, N. (2014). Answer first: Applying the heuristic-analytic theory of reasoning to examine student intuitive thinking in the context of physics. Physical Review Physics Education Research, 10, Article 020109. https://doi.org/10.1103/physrevstper.10.020109

Lee, Y. J., & Diong, C. H. (1999). Misconceptions on the biological concept of food: Results of a survey of high school students. In M. Waas (Ed.), Enhancing learning: Challenge of integrating thinking and information technology into the curriculum: Proceedings of the 12th Annual Conference of the Educational Research Association (pp. 825-832). Educational Research Association. http://hdl.handle.net/10497/14986

Lieberman, M. D. (2000). Intuition: A social cognitive neuroscience approach. Psychological Bulletin126(1), 109–137. https://doi.org/10.1037/0033-2909.126.1.109

Maeyer, J. R., & Talanquer, V. (2010). The role of intuitive heuristics in students' thinking: Ranking chemical substances. Science Education, 94(6), 963-984. https://doi.org/10.1002/sce.20397

Mann, M., & Treagust, D. F. (2010). Students’ conceptions about energy and the human body. Science Education International, 21(3), 144-159. https://bit.ly/3lmwSXg

Marks-Tarlow, T. (2014). The interpersonal neurobiology of clinical intuition. Smith College Studies in Social Work, 84(2-3), 219-236. https://doi.org/10.1080/00377317.2014.923712

McCrea, S. M. (2010). Intuition, insight, and the right hemisphere: Emergence of higher sociocognitive functions. Psychology Research and Behavior Management, 3, 1–39. https://doi.org/10.2147/PRBM.S7935

Merckelbach, H., Muris, P., Horselenberg, R., & de Jong, P. (1997). EEG correlates of a paper-and-pencil test measuring hemisphericity. Journal of Clinical Psychology, 53(7), 739–744. https://doi.org/cjmx2n

Merckelbach, H., Muris, P., Pool, K., De Jong, P. J., & Schouten, E. (1996). Reliability and validity of a paper‐and‐pencil test measuring hemisphere preference. European Journal of Personality10(3), 221–231. https://doi.org/chdq8j

Morris, S. C., Taplin, J. E., & Gelman, S. A. (2000). Vitalism in naive biological thinking. Developmental Psychology, 36(5), 582-595. https://doi.org/10.1037/0012-1649.36.5.582

Morton, B. E., Svard, L., & Jensen, J. (2014). Further evidence for hemisity sorting during career specialization. Journal of Career Assessment22(2), 317–328. https://doi.org/10.1177/1069072713493986

Ornstein, R. E. (1977). The psychology of consciousness (2nd ed.). Harcourt Brace Jovanovich.

Osman, M., & Stavy, Ρ. (2006). Development of intuitive rules: Evaluating the application of the dual-system framework to understanding children's intuitive reasoning. Psychonomic Bulletin & Review, 13(6), 935-953. https://doi.org/10.3758/BF03213907

Oxford, R. (1995). Gender differences in language learning styles: What do they mean? In J. M. Reid (Ed.), Learning styles in the ESL/EFL classroom (pp. 34–46). Heinle & Heinle Publishers.

Russo, P., Persegani, C., Torlini, M., Papeschi, L. L., & Trimarchi, M. (2001). Sex differences in EEG correlates of a self-reported measure of hemisphere preference. The International Journal of Neuroscience106(1-2), 109–121. https://doi.org/10.3109/00207450109149742

Schore, A. N. (2010). The right brain implicit self: A central mechanism of the psychotherapy change process. In J. Petrucelli (Ed.), Knowing not-knowing and sort-of-knowing: Psychoanalysis and the experience of uncertainty (pp.177-202). Routledge. https://doi.org/10.4324/9780429476457

Shtulman, A., & Harrington, K. (2015). Tensions between science and intuition across the lifespan. Topics in Cognitive Science, 8(1), 118–137. https://doi.org/10.1111/tops.12174

Siegler, R. S., & Crowley, K. (1994). Constraints on learning in non-privileged domains. Cognitive Psychology, 27(2), 194-226. https://doi.org/10.1006/cogp.1994.1016

Stavy, R., & Tirosh, D. (2000). How students (mis-)understand science and mathematics: Intuitive rules. Teachers College Press.

Talanquer, V. (2009). On cognitive constraints and learning progressions: The case of “structure of matter.” International Journal of Science Education, 31(15), 2123–2136. https://doi.org/10.1080/09500690802578025

Tamir, P. (1971). An alternative approach to the construction of multiple choice test items. Journal of Biological Education, 5(6), 305-307. https://doi.org/10.1080/00219266.1971.9653728

Tamir, P. (1990). Justifying the selection of answers in multiple choice items. International Journal of Science Education, 12(5), 563-573. https://doi.org/10.1080/0950069900120508

Turner, B. O., Marinsek, N., Ryhal, E., & Miller, M. B. (2015). Hemispheric lateralization in reasoning. Annals of the New York Academy of Sciences1359(1), 47–64. https://doi.org/10.1111/nyas.12940

Vlachos, F., Andreou, E., & Delliou, A. (2013). Brain hemisphericity and developmental dyslexia. Research in Developmental Disabilities34(5), 1536–1540. https://doi.org/10.1016/j.ridd.2013.01.027

Volz, K. G., & von Cramon, Y. D. (2006). What neuroscience can tell about intuitive processes in the context of perceptual discovery. Journal of Cognitive Neuroscience, 18(12), 2077–2087. https://doi.org/10.1162/jocn.2006.18.12.2077

Vosniadou, S. (1994). Capturing and modeling the process of conceptual change. Learning and Instruction, 4(1), 45–69. https://doi.org/10.1016/0959-4752(94)90018-3

Zenhausern, R. (1978). Imagery, cerebral dominance, and style of thinking: A unified field model. Bulletin of the Psychonomic Society, 12, 381–384. https://doi.org/10.3758/BF03329714

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