Students’ Errors and Misunderstanding towards Algebra: Pre-Service Mathematics Teachers’ Prediction Skills of Error and Misunderstanding and Solution Suggestions

Year 2007, Volume: 6 Issue: 1, 24 - 34, 01.03.2007

Murat Bozan Hüseyin Küçüközer

Keywords

-

İ
lköğretim Öğrencilerinin Basınç Konusu ile
İlgili Problemlerin Çözümünde Yaptıkları Hatalar

Keywords

Fen Eğitimi, Basınç, Problem Çözme, Hata Kategorileri

References

• Carey, S. (1985). Conceptual Change in Childhood (Boston, MA, MIT Press).
• Charles de berg, K. (1995). Student understanding of the volume mass and pressure of air within a sealed syringe in different states of compression. Journal of Research in Science Teaching, 32(8),871-884.
• Cooper, G. (1998). Research into Cognitive Load Theory and Instructional Design at UNSW. School of Education Studies, The University of New South Wales, Australia, URL: http://www.uog.edu/coe/ed451/tHEORY/LoadTheory1.pdf,
• De Jong, T. & Ferguson-Hessler, M.G.M. (1986). Cognitive structures of good and poor novice problem solvers in physics. Journal of Educational Phychology, 78(4),279-288.
• Edwards, D. & Mercer, N. (1987). Common Knowledge: the development of understanding in the classroom, London: Methuen.
• Fisher K.,M., & Lipson J. I. (1986). Twenty questions about student errors. Journal of Research in Science Teaching, 23(9), 783-803.
• Gagatsis, A., & L., Kyriakides. (2000). Teachers’ Attitudes Towards Their Pupils’ Mathematical Errors. Educational Research and Evaluation, 6(1), 24-58
• Hestenes, D. (1987). Toward a modelling theory of physics instruction. American Journal of Physics, 55(5), 440-454.
• Heyworth, R. M. (1999). "Procedural and conceptual knowledge of export and novice students for the solving of basic problem in chemistry. International Journal of Science Education, 21(2), 195-212.
• Hierarchical Clustering (2006). Documentation for Math Works Products, R. URL: www.mathworks.com/access/helpdesk/help/toolbox/stats/f61427.html
• Kariotogloy, P., Psillos, D. & Vallassiades, O. (1990). Understanding pressure: didactical transpositions and pupils’conceptions. Physics Education, 25 (2), 92-96.
• Osborne, R.J. & Wittrock, M.C. (1985). The generative learning model and its implications for science education, Studies in Science Education, 12, pp. 59-87.
• Pfundt, H. & Duit, R. (2005). Bibliography: students' alternative frameworks and science education (Kiel, IPN).
• Pittman, K,M., (1999). Student-generated anologies: another way of knowing. Journal of Research in Science Teaching, 36, 1-22.
• Posner, G.J., Strike, K.A., Hewson, P.W. & Gertzog, W.A. (1982). Accommodation of a scientific conception: toward a theory of conceptual change. Science Education, 66, pp. 211-227.
• Psillos, D &, Kariotogloy, P. (1999). Teaching fluids: intended knowledge and students’ actual
• conceptual evolution, International Journal of Science Education, 21(1), 17-38.
• Raghavan, K. &, Glaser, R. (1995). Model-based analysis and reasoning in science. Science
• Education, 79(1), 37-61.
• Rollnick M., Rutherford M., (1990). African primary school teachers-what ideas do they hold on air and air pressure?. International Journal of Science Education, 12(1), 101-113.
• Sadler, (1998). Psychometric models of student conception in science: reconciling qualitative studies and distractor-driven assessment instruments. Journal of Research in Science Teaching, 35, 265-296.
• Scott P.,H. (1993). Overtures and obstacles: teaching and learning about air pressure in a high school classroom. in D.J. Novak (ed), third misconceptions seminar proceedings.
• Solomon, J. (1987). Social influences on the construction of pupils' understanding of science, Studies in Science Education, 14, pp. 63-82.
• Stefanich, G. P., Rokusek, T. (1992). An Analysis of Computational Errors in the Use of Division Algorithms by Fourth-Grade Students. School Science and Mathematics, 92, 4; Academic Research Library.
• im ek, S., (2000). Fen Bilimlerinde De erlendirmenin Önemi, Milli E itim Dergisi sayı 148,
• URL: yayim.meb.gov.tr/dergiler/148/7.htm.
• Taconis, R., Ferguson-Hessler, M. G. M. &Broekkamp, H. (2001). Teaching science problem solving: An overview of experimental work. Journal of Research in Science Teaching, 38(4), 442-468.
• Tatlıdil, H. (1992). Uygulamalı çok de i kenli istatistiksel analiz, Ankara.
• Valencia, S. W., Wixson, K. K. (1991). Diagnostic Teaching The Reading Teacher; 44, 6; Academic Research Library, pg. 420.
• Leonard W. J., Gerace W. J. & Dufresne R. J. (1999). Concept- based problem solving, university of Massachusetts physics education research group technical report, scientific reasoning research institute and department of physics & astronomy, university of Massachusetts, URL: http://umperg.physics.umass.edu/.
• Wilson, P. (1997). Simplex creative problem solving. Creativity and Innovation Management, 6(3), 161-167.