Anton, H. & Rorres, C. (2014). Elementary Linear Algebra. Applications version. 11^{th} Edition. Wiley.

Arnon, I., Cottrill, J., Dubinsky, E., Oktaç, A., Roa, S., Trigueros, M. & Weller, K. (2014). APOS Theory – A framework for research and curriculum development in mathematics education. New York: Springer.

Axler, S. (2015). Linear Algebra Done Right. Third Edition. San Francisco: Springer.

Betancur, A., Roa Fuentes, S. & Parragez González, M. (2022). Construcciones mentales asociadas a los eigenvalores y eigenvectores: refinación de un modelo cognitivo. AIEM – Avances de investigación en educación matemática, 22, 23-46.

Bouhjar, K., Andrews-Larson, C., Haider, M. & Zandieh, M. (2018). Examining students' procedural and conceptual understanding of eigenvectors and eigenvalues in the context of inquiry-oriented instruction. In S. Stewart, C. Andrews-Larson, A. Berman & M. Zandieh (Eds.), Challenges and strategies in teaching linear algebra (pp. 193-216). Springer, Cham.

Caglayan, G. (2015). Making sense of eigenvalue – eigenvector relationships: math majors’ linear algebra – geometry connections in a dynamic environment. The Journal of Mathematical Behavior, 40, 131–153.

Dorier, J.-L. (2000). Recherches en Histoire et en Didactique des Mathématiques sur l’algèbre linéaire. Perspective théorique sur leurs interactions. Les cahiers du laboratoire Leibniz n° 12, Laboratoire Leibniz-IMAG.

Dorier, J. L., Robert, A., Robinet, J. & Rogalski, M. (2000). The obstacle of formalism in linear algebra: A variety of studies from 1987 until 1995. In J.-L. Dorier (Ed.), On the teaching of linear algebra (pp. 85-124). Kluwer Academic Publishers.

Gol Tabaghi, S. (2014). How dragging changes students’ awareness: Developing meanings for eigenvector and eigenvalue. Canadian Journal of Science, Mathematics and Technology Education, 14(3), 223-237.

Gol Tabaghi, S. & Sinclair, N. (2013). Using dynamic geometry software to explore eigenvectors: The emergence of dynamic-synthetic-geometric thinking. Technology, Knowledge and Learning, 18, 149-164.

Kuzniak, A., (2022). The Theory of Mathematical Working Spaces – Theoretical Characteristics. In A. Kuzniak, E. Montoya-Delgadillo & P. R. Richard (Eds.) Mathematical Work in Educational Context. The perspective of the Theory of Mathematical Working Spaces. Springer.

Kuzniak, A., Tanguay, D. & Elia, I. (2016). Mathematical Working Spaces in schooling: an introduction. ZDM Mathematics Education, 48(6), 721-737.

Lapp, D. A., Nyman, M. A. & Berry, J. S. (2010). Student connections of linear algebra concepts: an analysis of concept maps. International Journal of Mathematical Education in Science and Technology, 41(1), 1-18.

Montoya, E. & Vivier, L. (2014). Les changements de domaine de travail dans le cadre des Espaces de Travail mathématique. Annales de Didactique et de Sciences Cognitives, 19, 73-101.

Plaxco, D., Zandieh, M. & Wawro, M. (2018). Stretch directions and stretch factors: A sequence intended to support guided reinvention of eigenvector and eigenvalue. In S. Stewart, C. Andrews-Larson, A. Berman & M. Zandieh (Eds.) Challenges and strategies in teaching linear algebra, (pp. 175-192). Springer, Cham.

Prediger, S., Bikner Ahsbahs, A. & Arzarelo, F. (2008). Networking strategies and methods for connecting theoretical approaches: first steps towards a conceptual framework. ZDM Mathematics Education, 40, 165-178.

Rasmussen, C. & Keynes, M. (2003). Lines of eigenvectors and solutions to systems of linear differential equations. Problems, Resources, and Issues in Mathematics Undergraduate Studies, 13(4), 308-320.

Salgado, H. & Trigueros, M. (2015). Teaching eigenvalues and eigenvectors using models and APOS Theory. Journal of Mathematical Behavior, 39, 100-120.

Siap, I. (2008). Motivating the concept of eigenvectors via cryptography. Teaching Mathematics and its Applications: An International Journal of the IMA, 27(2), 53-58.

Sinclair, N. & Gol Tabaghi, S. (2010). Drawing space: Mathematicians’ kinetic conceptions of eigenvectors. Educational Studies in Mathematics, 74, 223-240.

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 Academic Publishers.

Sierpinska, A., Trgalova, J., Hillel, J. & Dreyfus, T. (1999). Teaching and learning linear algebra with Cabri. In O. Zaslavsky (Ed.), Proceedings of the of the 23^{rd} Conference of the International Group for the Psychology of Mathematics Education (pp. 119-134). Technion – Israel Institute of Technology.

Soto, J. L. & García, M. (2002). A graphical exploration of the concepts of eigenvalue and eigenvectors in **R**^{2} and **R**^{3}. [Paper presentation]. 2nd International Conference on the Teaching of Mathematics at the undergraduate level, Crete, Greece. http://users.math.uoc.gr/~ictm2/Proceedings/pap370.pdf

Wawro, M., Watson, K. & Zandieh, M. (2019). Student understanding of linear combinations of eigenvectors. ZDM Mathematics Education, 51(7), 1111-1123.