Abstract
Using Balacheff’s (2013) model of conceptions, we inferred potential conceptions in three examples presented in the spanning sets section of an interactive linear algebra textbook. An analysis of student responses to two similar reading questions revealed additional strategies that students used to decide whether a vector was in the spanning set of a given set of vectors. An analysis of the correctness of the application of these strategies provides a more nuanced understanding of student responses that might be more useful for instructors than simply classifying the responses as right or wrong. These findings add to our knowledge of the textbook’s presentation of span and student understanding of span. We discuss implications for research and practice.
Similar content being viewed by others
References
Balacheff, N. (2013). cK¢, a model to reason on learners’ conceptions. In M. Martinez & A. Castro Superfine (Eds.), Proceedings of the 35th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 2–15). University of Illinois at Chicago.
Balacheff, N., & Gaudin, N. (2009). Modeling students’ conceptions: The case of function. Research in Collegiate Mathematics Education, 16, 183–211. https://doi.org/10.1090/cbmath/016/08
Balacheff, N., & Margolinas, C. (2005). Modele de connaissances pour le calcul de situations didactiques [Model of conceptions in didactic situations]. In Balises pour la didactique des mathématiques (pp. 1–32). La Pensée Sauvage.
Beezer, R. (2021). A first course in linear algebra. http://linear.ups.edu/
Beezer, R., Judson, T., Farmer, D., Morrison, K., Mesa, V., & Lynds, S. (2018). Undergraduate teaching and learning in mathematics with open software and textbooks (UTMOST) (National Science Foundation, DUE 1821706,1821329,1821509,1821114) [Grant].
Bouhjar, K., Andrews-Larson, C., & Haider, M. Q. (2021). An analytical comparison of students’ reasoning in the context of inquiry-oriented instruction: The case of span and linear independence. The Journal of Mathematical Behavior, 64, 100908. https://doi.org/10.1016/j.jmathb.2021.100908
Cárcamo, A., Fortuny, J., & Fuentealba, C. (2018). The emergent models in linear algebra: An example with spanning set and span. Teaching Mathematics and Its Applications: An International Journal of the IMA, 37(4), 202–217. https://doi.org/10.1093/teamat/hrx015
Cárcamo, A., Fortuny, J., & Gómez, V. (2017). Mathematical modelling and the learning trajectory: Tools to support the teaching of linear algebra. International Journal of Mathematical Education in Science and Technology, 48(3), 338–352. https://doi.org/10.1080/0020739X.2016.1241436
Cárcamo, A., Gómez, V., & Fortuny, J. (2016). Mathematical modelling in engineering: A proposal to introduce linear algebra concepts. JOTSE: Journal of Technology and Science Education, 6(1), 62–70. https://doi.org/10.3926/jotse.177
Carlson, D. (1993). Teaching linear algebra: Must the fog always roll in? The College Mathematics Journal, 24(1), 29–40. https://doi.org/10.1080/07468342.1993.11973503
Castro, E., Mali, A., & Mesa, V. (2022). University students’ engagement with digital mathematics textbooks: A case of linear algebra. International Journal of Education in Mathematics, Science and Technology. 1–23. https://doi.org/10.1080/0020739X.2022.2147104
Conway, J. R., Lex, A., & Gehlenborg, N. (2017). UpSetR: An R package for the visualization of intersecting sets and their properties. Bioinformatics, 33(18), 2938–2940. https://doi.org/10.1093/bioinformatics/btx364
Dubinsky, E., & McDonald, M. A. (2001). APOS: A constructivist theory of learning in undergraduate mathematics education research. In D. Holton (Ed.), The teaching and learning of mathematics at university level: An ICMI study (pp. 275–282). Springer.
Freudenthal, H. (1991). Revisiting mathematics education. Kluwer.
Graham, S., Kiuhara, S. A., & MacKay, M. (2020). The effects of writing on learning in science, social studies, and mathematics: A meta-analysis. Review of Educational Research, 90(2), 179–226. https://doi.org/10.3102/0034654320914744
Gravemeijer, K. (1999). How emergent models may foster the constitution of formal mathematics. Mathematical Thinking and Learning, 1(2), 155–177.
Hannah, J., Stewart, S., & Thomas, M. (2013). Emphasizing language and visualization in teaching linear algebra. International Journal of Mathematical Education in Science and Technology, 44(4), 475–489. https://doi.org/10.1080/0020739X.2012.756545
Hannah, J., Stewart, S., & Thomas, M. (2016). Developing conceptual understanding and definitional clarity in linear algebra through the three worlds of mathematical thinking. Teaching Mathematics and Its Applications: An International Journal of the IMA, 35(4), 216–235. https://doi.org/10.1093/teamat/hrw001
Harel, G. (1989). Applying the principle of multiple embodiments in teaching linear algebra: Aspects of familiarity and mode of representation. School Science and Mathematics, 89, 49–57.
Harel, G. (2000). Three principles of learning and teaching mathematics: Particular reference to linear algebra-old and new observations. In J.-L. Dorier (Ed.), On the teaching of linear algebra (pp. 177–189). Kluwer Academic Publishers.
Hillel, J. (2000). Modes of description and the problem of representation in linear algebra. In J.-L. Dorier (Ed.), On the teaching of linear algebra (pp. 191–207). Kluwer.
Kontorovich, I. (2020). Theorems or procedures? Exploring undergraduates’ methods to solve routine problems in linear algebra. Mathematics Education Research Journal, 32(4), 589–605. https://doi.org/10.1007/s13394-019-00272-3
Lex, A., Gehlenborg, N., Strobelt, H., Vuillemot, R., & Pfister, H. (2014). UpSet: Visualization of intersecting sets. IEEE Transactions on Visualization and Computer Graphics, 20(12), 1983–1992. https://doi.org/10.1109/TVCG.2014.2346248
Love, E., & Pimm, D. (1996). ‘This is so’: A text on texts. In A. J. Bishop, K. Clements, C. Keitel, J. Kilpatrick, & C. Laborde (Eds.), International handbook of mathematics education (Vol. 1, pp. 371–409). Kluwer.
Medina, E. (2000). Student understanding of span, linear independence, and basis in an elementary linear algebra class [Unpublished doctoral dissertation]. University of Northern Colorado.
Mesa, V. (2004). Characterizing practices associated with functions in middle school textbooks: An empirical approach. Educational Studies in Mathematics, 56, 255–286. https://doi.org/10.1023/B:EDUC.0000040409.63571.56
Mesa, V. (2010). Strategies for controlling the work in mathematics textbooks for introductory calculus. Research in Collegiate Mathematics Education, 16, 235–265.
Mesa, V., & Goldstein, B. (2016). Conceptions of angles, trigonometric functions, and inverse trigonometric functions in college textbooks. International Journal of Research in Undergraduate Mathematics Education, 3, 338–354. https://doi.org/10.1007/s40753-016-0042-1
O’Halloran, K. L., Beezer, R. A., & Farmer, D. W. (2018). A new generation of mathematics textbook research and development. ZDM-Mathematics Education, 50(5), 863–879. https://doi.org/10.1007/s11858-018-0959-8
Parker, C. F. (2010). How intuition and language use relate to students’ understanding of span and linear independence in an elementary linear algebra class [Unpublished doctoral dissertation]. University of Northern Colorado.
Payton, S. (2019). Fostering mathematical connections in introductory linear algebra through adapted inquiry. ZDM-Mathematics Education, 51(7), 1239–1252. https://doi.org/10.1007/s11858-019-01029-9
Plaxco, D., & Wawro, M. (2015). Analyzing student understanding in linear algebra through mathematical activity. The Journal of Mathematical Behavior, 38, 87–100. https://doi.org/10.1016/j.jmathb.2015.03.002
Quiroz, C., Gerami, S., & Mesa, V. (2022). Student utilization schemes of questioning devices in undergraduate mathematics dynamic textbooks. In J. Hodgen, E. Geraniou, G. Bolondi, & F. Ferretti (Eds.), Proceedings of the twelfth Congress of European Research in Mathematics Education (CERME 12) (pp. 4030–4037). ERME / Free University of Bozen-Bolzano.
Rasmussen, C., & Wawro, M. (2017). Post-calculus research in undergraduate mathematics education. In J. Cai (Ed.), Compendium for research in mathematics education (pp. 551–581). National Council of Teachers of Mathematics.
Rasmussen, C., Wawro, M., & Zandieh, M. (2015). Examining individual and collective level mathematical progress. Education Studies in Mathematics, 88(2), 259–281. https://doi.org/10.1007/s10649-014-9583-x
Sellers, M. E., Roh, K. H., & Parr, E. D. (2021). Student quantifications as meanings for quantified variables in complex mathematical statements. The Journal of Mathematical Behavior, 61, 100802. https://doi.org/10.1016/j.jmathb.2020.100802
Shen, J. T., Yamashita, M., Prihar, E., Heffernan, N., Wu, X., Graff, B., & Lee, D. (2021). Mathbert: A pre-trained language model for general nlp tasks in mathematics education. arXiv preprint arXiv:2106.07340. https://doi.org/10.48550/arXiv.2106.07340
Sierpinska, A. (2000). On some aspects of students’ thinking in linear algebra. In J.-L. Dorier (Ed.), On the teaching of linear algebra (pp. 209–246). Kluwer.
Stewart, S., Andrews-Larson, C., & Zandieh, M. (2019). Linear algebra teaching and learning: Themes from recent research and evolving research priorities. ZDM-Mathematics Education, 51, 1017–1030. https://doi.org/10.1007/s11858-019-01104-1
Stewart, S., & Thomas, M. O. (2007). Embodied, symbolic and formal thinking in linear algebra. International Journal of Mathematical Education in Science and Technology, 38(7), 927–937. https://doi.org/10.1080/00207390701573335
Stewart, S., & Thomas, M. O. (2009). A framework for mathematical thinking: The case of linear algebra. International Journal of Mathematical Education in Science and Technology, 40(7), 951–961. https://doi.org/10.1080/00207390903200984
Tall, D. O. (2013). How humans learn to think mathematically: Exploring the three worlds of mathematics. Cambridge University Press.
Tall, D., & Vinner, S. (1981). Concept image and concept definition in mathematics with particular reference to limits and continuity. Educational Studies in Mathematics, 12(2), 151–169. https://doi.org/10.1007/BF00305619
Wawro, M. (2014). Student reasoning about the invertible matrix theorem in linear algebra. ZDM-Mathematics Education, 46, 389–406. https://doi.org/10.1007/s11858-014-0579-x
Wawro, M., Rasmussen, C. L., Zandieh, M. J., Sweeney, G. F., & Larson, C. (2012). An inquiry-oriented approach to span and linear independence: The case of the magic carpet ride sequence. Primus, 22(8), 577–599. https://doi.org/10.1080/10511970.2012.667516
Acknowledgements
Thanks to the Undergraduate Research Opportunity Program and to the Research on Teaching in Undergraduate Settings lab at the University of Michigan.
Funding
This work was supported by the National Science Foundation under Awards IUSE 1624634, 1821509, 1625223, 1626455, and 1821329.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclaimer
Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Gerami, S., Khiu, E., Mesa, V. et al. Conceptions of span in linear algebra: from textbook examples to student responses. Educ Stud Math 116, 67–89 (2024). https://doi.org/10.1007/s10649-024-10306-8
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10649-024-10306-8