Abstract
While previous studies mainly focused on children’s additive and multiplicative reasoning abilities, we studied third to sixth graders’ preference for additive or multiplicative relations. This was investigated by means of schematic problems that were open to both types of relations, namely arrow schemes containing three given numbers and a fourth missing one. In study 1, children had to fill out the missing number, while in study 2, children had to indicate all possibly correct answers among a set of given alternatives. Both studies explicitly showed the existence of a preference for additive relations in some children, while others preferred multiplicative relations. Mainly younger children preferred additive relations, whereas mainly children in upper primary education preferred multiplicative relations. Number ratios also impacted children’s preference, especially in fifth grade. Moreover, the results of study 2 provided evidence for the strength of children’s preference and showed that calculation skills do not coincide with preference, and hence, that preference and calculation skills are two distinct child characteristics. The results of both studies using these open problems resembled previous research results using classical multiplicative or additive word problems. This supports the hypothesis that children’s preferred type of relations may be at play in solving classical word problems as well—besides their abilities—and may hence be an additional factor explaining the mistakes that children make in those word problems. This research line thus seems promising for further research as well as educational practice.
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References
Boyer, T. W., & Levine, S. C. (2012). Child proportional scaling: is 1/3=2/6=3/9=4/12? Journal of Experimental Child Psychology, 111, 516–533. https://doi.org/10.1016/j.jecp.2011.11.001.
Boyer, T. W., Levine, S. C., & Huttenlocher, J. (2008). Development of proportional reasoning: where young children go wrong. Developmental Psychology, 44, 1478–1490. https://doi.org/10.1037/a0013110.
Bridgeman, B. (1992). A comparison of quantitative questions in open-ended and multiple-choice formats. Journal of Educational Measurement, 29, 253–271. https://doi.org/10.1111/j.1745-3984.1992.tb00377.x.
Clark, F. B., & Kamii, C. (1996). Identification of multiplicative thinking in children in grades 1–5. Journal for Research in Mathematics Education, 27, 41–51. https://doi.org/10.2307/749196.
Cramer, K., & Post, T. (1993). Proportional reasoning. Mathematics Teacher, 86, 404–407.
Cramer, K., Post, T., & Currier, S. (1993). Learning and teaching ratio and proportion: research implications. In D. T. Owens (Ed.), Research ideas for the classroom: Middle grades mathematics (pp. 159–178). New York: Macmillan.
Cronbach, L. J. (1984). Essentials of psychological testing (4th ed.). New York: Harper & Row.
De Vos, T. (1992). Tempo test arithmetic: Manual. Lisse: Swets & Zeitlinger.
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.
Fernández, C., Llinares, S., Van Dooren, W., De Bock, D., & Verschaffel, L. (2012). The development of students' use of additive and proportional methods along primary and secondary school. European Journal of Psychology of Education, 27, 421-438. https://doi.org/10.1007/s10212-011-0087-0.
Goodwin, K. S., Ostrom, L., & Scott, K. W. (2009). Gender differences in mathematics self-efficacy and back substitution in multiple-choice assessment. Journal of Adult Education, 38, 22–42.
Haciomeroglu, E. S., Chicken, E., & Dixon, J. K. (2013). Relationships between gender, cognitive ability, preference, and calculus performance. Mathematical Thinking and Learning, 15, 175–189. https://doi.org/10.1080/10986065.2013.794255.
Hart, K. (1988). Ratio and proportion. In M. Behr & J. Hiebert (Eds.), Number concepts and operations in the middle grades (pp. 198–219). Reston: National Council of Teachers of Mathematics.
Inhelder, B., & Piaget, J. (1958). The growth of logical thinking for childhood to adolescence. London: Routledge.
Jacob, L., & Willis, S. (2003). The development of multiplicative thinking in young children. In L. Bragg, C. Campbell, G. Herbert, & J. Mousley (Eds.), Proceedings of the 26th Annual Conference of the Mathematical Education Research Group of Australasia (pp. 460–467). Sydney: Deakin University.
Kaput, J. J., & West, M. M. (1994). Missing-value proportional reasoning problems: factors affecting informal reasoning patterns. In G. Harel & J. Confrey (Eds.), The development of multiplicative reasoning in the learning of mathematics (pp. 235–287). New York: SUNY Press.
Karplus, R., Pulos, S., & Stage, E. (1983). Proportional reasoning of early adolescents. In R. Lesh & M. Landau (Eds.), Acquisition of mathematical concepts and processes (pp. 45–89). New York: Academic Press.
Lamon, S. J. (1993). Ratio and proportion: connecting content and children’s thinking. Journal for Research in Mathematics Education, 24, 41–61. https://doi.org/10.2307/749385.
Lamon, S. J. (2008). Teaching fractions and ratios for understanding: essential content knowledge and instructional strategies for teachers (2nd ed.). New York: Taylor & Francis Group.
Lamon, S. J., & Lesh, R. (1992). Interpreting responses to problems with several levels and types of correct answers. In R. Lesh & S. J. Lamon (Eds.), Assessment of authentic performance in school mathematics (pp. 319–342). Washington, DC: American Association for the Advancement of Science Press.
Larsson, K. (2016). Students’ understandings of multiplication. [unpublished doctoral dissertation] Stockholm University, Stockholm.
Lesh, R., Post, T., & Behr, M. (1988). Proportional reasoning. In J. Hiebert & M. Behr (Eds.), Number concepts and operations in the middle grades (pp. 93–118). Reston: Lawrence Erlbaum Associates & National Council of Teachers of Mathematics.
Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13–22. https://doi.org/10.1093/biomet/73.1.13.
Modestou, M., & Gagatsis, A. (2010). Cognitive and Metacognitive aspects of proportional reasoning. Mathematical Thinking and Learning, 12, 36–53. https://doi.org/10.1080/10986060903465822
Noelting, G. (1980). The development of proportional reasoning and the ratio concept: part 1—differentiation of stages. Educational Studies in Mathematics, 11, 217–253. https://doi.org/10.1007/BF00304357.
Nunes, T., & Bryant, P. (2010). Understanding relations and their graphical representation. In T. Nunes, P. Bryant, & A. Watson (Eds.), Key understanding in mathematics learning. Retrieved from http://www.nuffieldfoundation.org/sites/defaukt/files/P4.pdf.
Pellegrino, J. W., & Glaser, R. (1982). Analyzing aptitudes for learning: Inductive reasoning. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 2, pp. 269–345). Hillsdale: Lawrence Erlbaum Associates.
Resnick, L. B., & Singer, J. A. (1993). Protoquantitative origins of ratio reasoning. In T. P. Carpenter, E. Fennema, & T. A. Romberg (Eds.), Rational numbers: An integration of research (pp. 107–130). Hillsdale: Lawrence Erlbaum Associates.
Sawyer, R. K., John-Steiner, V., Moran, S., Sternberg, R. J., Feldman, D. H., Nakamura, J., & Csikszentmihalyi, M. (2003). Creativity and development. New York: Oxford University Press.
Schukajlow, S., Krug, A., & Rakoczy, K. (2015). Effects of prompting multiple solutions for modelling problems on students’ performance. Educational Studies in Mathematics, 89, 393–417. https://doi.org/10.1007/s10649-015-9608-0.
Sheu, C.-F. (2000). Regression analysis of correlated binary outcomes. Behavior Research Methods, Instruments, & Computers, 32, 269–273. https://doi.org/10.3758/BF03207794.
Siegler, R. S. (2000). Unconscious insights. Current Directions in Psychological Science, 9, 79–83.
Siemon, D., Breed, M., & Virgona, J. (2005). From additive to multiplicative thinking—the big challenge of the middle years. In J. Mousley, L. Bragg, & C. Campbell (Eds.), Proceedings of the 42nd conference of the mathematical Association of Victoria. Bundoora: The Mathematical Association of Victoria.
Star, J. R., & Rittle-Johnson, B. (2008). Flexibility in problem solving: the case of equation solving. Learning and Instruction, 18, 565–579. https://doi.org/10.1016/j.learninstruc.2007.09.018.
Van Dooren, W., De Bock, D., & Verschaffel, L. (2010). From addition to multiplication … and back. The development of students’ additive and multiplicative reasoning skills. Cognition and Instruction, 28, 360–381. https://doi.org/10.1080/07370008.2010.488306.
Van Dooren, W., De Bock, D., Depaepe, F., Janssens, D., & Verschaffel, L. (2003). The illusion of linearity: Expanding the evidence towards probabilistic reasoning. Educational Studies in Mathematics, 53, 113–138. https://doi.org/10.1023/A:1025516816886.
Van Dooren, W., De Bock, D., Evers, M., & Verschaffel, L. (2009). Pupils’ overuse of proportionality on missing-value problems: How numbers may change solutions. Journal for Research in Mathematics Education, 40, 187–211.
Van Dooren, W., De Bock, D., Hessels, A., Janssens, D., & Verschaffel, L. (2005). Not everything is proportional: Effects of age and problem type on propensities for overgeneralization. Cognition and Instruction, 23, 57–86. https://doi.org/10.1207/s1532690xci2301_3.
Van Dooren, W., De Bock, D., Janssens, D., & Verschaffel, L. (2008). The linear imperative: An inventory and conceptual analysis of Students' overuse of linearity. Journal for Research in Mathematics Education, 39, 311–342. https://doi.org/10.2307/30034972.
Van Dooren, W., Verschaffel, L., Greer, B., & De Bock, D. (2006). Modelling for life: Developing adaptive expertise in mathematical modelling from an early age. In L. Verschaffel, F. Dochy, M. Boekaerts, & S. Vosniadou (Eds.), Instructional psychology: Past, present and future trends. Sixteen essays in honour of Erik de Corte (pp. 91–112). Oxford: Elsevier.
Veenman, M. V. J., Van Hout-Wolters, B. H. A. M., & Afflerbach, P. (2006). Metacognition and learning: conceptual and methodological considerations. Metacognition and Learning, 1, 3–14. https://doi.org/10.1007/s11409-006-6893-0.
Vergnaud, G. (1983). Multiplicative structures. In R. Lesh & M. Landau (Eds.), Acquisition of mathematics concepts and processes (pp. 127–174). New York: Academic Press.
Vergnaud, G. (1988). Multiplicative structures. In J. Hiebert & M. Behr (Eds.), Number concepts and operations in the middle grades (pp. 141–161). Reston: National Council of Teachers of Mathematics.
Verschaffel, L., De Corte, E., & Lasure, S. (1994). Realistic considerations in mathematical modeling of school arithmetic word problems. Learning and Instruction, 4, 273–294. https://doi.org/10.1016/0959-4752(94)90002-7.
Funding
This study was funded by the research project C16/16/001 “Early development and stimulation of core mathematical competencies” of the Research Fund of the KU Leuven.
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Tine Degrande. KU Leuven, Centre for Instructional Psychology and Technology, Dekenstraat 2, Box 3773, 3000 Leuven, Belgium. Email: Tine.Degrande@kuleuven.be; Web site of the Centre: https://ppw.kuleuven.be/home/english/research/etrg/CIPT
Current themes of research:
Psychology of mathematics education. Multiplicative reasoning. Additive reasoning. Word problem-solving.
Most relevant publications in the field of Psychology of Education:
Degrande, T., Verschaffel, L., & Van Dooren, W. (2017). Spontaneous focusing on quantitative relations: Towards a characterization. Mathematical Thinking and Learning, 19, 260–275. https://doi.org/10.1080/10986065.2017.1365223.
Degrande T., Verschaffel L., & Van Dooren, W. (2016). Proportional word problem solving through a modeling lens: A half-empty or half-full glass?. In: Felmer P., Pehkonen E., Kilpatrick J. (Eds.), Posing and solving mathematical problems: Advances and new perspectives, (pp. 209–229). Switzerland: Springer International Publishing.
Peeters, D., Degrande, T., Ebersbach, M., Verschaffel, L., & Luwel, K. (2016). Children’s use of number line estimation strategies. European Journal of Psychology of Education, 31, 117–134.
Van Hoof, J., Degrande, T., McMullen, J., Hannula-Sormunen, M., Lehtinen, E., Verschaffel, L., & Van Dooren, W. (2016). The relation between learners’ spontaneous focusing on quantitative relations and their rational number knowledge. Studia Psychologica, 58, 156–170.
Lieven Verschaffel. KU Leuven, Centre for Instructional Psychology and Technology, Dekenstraat 2, Box 3773, 3000 Leuven, Belgium. Email: Lieven.Verschaffel@kuleuven.be; Web site of the Centre: https://ppw.kuleuven.be/home/english/research/etrg/CIPT
Current themes of research:
Early mathematics education. Number sense and estimation. Mental and written arithmetic. Arithmetic word problem solving.
Most relevant publications in the field of Psychology of Education:
De Smedt, B., Torbeyns, J., Stassens, N., Ghesquière, P., & Verschaffel, L. (2010). Frequency, efficiency and flexibility of indirect addition in two learning environments. Learning and Instruction, 20, 205–215.
Dewolf, T., Van Dooren, W., & Verschaffel, L. (2011). Upper elementary school children’s understanding and solution of a quantitative word problem inside and outside the mathematics class. Learning and Instruction, 21, 770–780.
Linsen, S., Verschaffel, L., Reynvoet, B., & De Smedt, B. (2015). The association between numerical magnitude processing and mental versus algorithmic multi-digit subtraction in children. Learning and Instruction, 35, 42–50.
Obersteiner, A., Van Dooren, W., Van Hoof, J., & Verschaffel, L. (2013). The natural number bias and magnitude representation in fraction comparison by expert mathematicians. Learning and Instruction, 28, 64–72.
Verschaffel, L., Luwel, K., Torbeyns, J., & Van Dooren, W. (2009). Conceptualizing, investigating, and enhancing adaptive expertise in elementary mathematics education. European Journal of Psychology of Education, 24, 335–359.
Wim Van Dooren. KU Leuven, Centre for Instructional Psychology and Technology, Dekenstraat 2, Box 3773, 3000 Leuven, Belgium. Email: Wim.VanDooren@kuleuven.be; Web site of the Centre: https://ppw.kuleuven.be/home/english/research/etrg/CIPT
Current themes of research:
Mathematics education. Statistical reasoning. Conceptual change. Intuitions and biases in reasoning.
Most relevant publications in the field of Psychology of Education:
Obersteiner, A., Van Dooren, W., Van Hoof, J., & Verschaffel, L. (2013). The natural number bias and magnitude representation in fraction comparison by expert mathematicians. Learning and Instruction, 28, 64–72.
Van Dooren, W., De Bock, D., & Verschaffel, L. (2010). From addition to multiplication … and back. The development of students’ additive and multiplicative reasoning skills. Cognition and Instruction, 28, 360–381.
Van Dooren, W., De Bock, D., Hessels, A., Janssens, D., & Verschaffel, L. (2004). Remedying secondary school students’ illusion of linearity: a teaching experiment aiming at conceptual change. Learning and Instruction, 14, 485–501.
Van Hoof, J., Verschaffel, L., & Van Dooren, W. (2015). Inappropriately applying natural number properties in rational number tasks: Characterizing the development of the natural number bias through primary and secondary education. Educational Studies in Mathematics, 90, 39–56.
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Degrande, T., Verschaffel, L. & Van Dooren, W. Beyond additive and multiplicative reasoning abilities: how preference enters the picture. Eur J Psychol Educ 33, 559–576 (2018). https://doi.org/10.1007/s10212-017-0352-y
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DOI: https://doi.org/10.1007/s10212-017-0352-y