This scientific article explores the critical concept of designing individual educational trajectories in the context of learning mathematics. The traditional one-size-fits-all approach to mathematics education has often failed to cater to the diverse needs, learning styles, and abilities of students. In response, educators and researchers are increasingly focusing on designing personalized educational pathways that consider each student's unique characteristics. This article delves into the theoretical foundations, practical methodologies, and the potential benefits of tailoring mathematics education to individual learners.

Individual, Personalized education, Mathematics instruction

Education Data Privacy. (2020). Student Privacy 101: FERPA for Parents and Students. Retrieved from https://privacy.commonsense.org/education-data-privacy

Clark, D., & Luckin, R. (2013). What the Research Says: Adaptive Learning. Nesta.

Pane, J. F., Steiner, E. D., Baird, M. D., Hamilton, L. S., & Pane, J. D. (2015). Continued Progress: Promising Evidence on Personalized Learning. RAND Corporation.

NWEA. (2015). Make Assessment Work for All Students: Multiple Measures Matter. Retrieved from https://www.nwea.org/research/publication/make-assessment-work-for-all-students-multiple-measures-matter/

Tofel-Grehl, C., Feldon, D., & Maher, M. (2017). Students' Experiences in a Self-Paced, Competency-Based Algebra I Course: A Mixed-Methods Analysis. The International Review of Research in Open and Distributed Learning, 18(1).

U.S. Department of Education. (2016). National Education Technology Plan 2016. Retrieved from https://tech.ed.gov/netp/

Duckworth, A. L., & Dweck, C. S. (2005). What You Need to Know About Willpower: The Psychological Science of Self-Control. Association for Psychological Science, 19(2), 102-105.