Abstract—This article presents the deployment of the Semester i (i-Sem) “Data Analytics and Cloud Computing vs Breast Cancer: learning that helps” (DA&CCvsBC).
i-Sem is one of the elements of the Tec21 educational model of The Monterrey Tech. DA&CCvsBC is a learning environment where engineering students developed competences, by resolving an inspiring challenge designed from a problem posed by a training partner (TP). The challenge consisted in designing and implementing computer applications to support the follow-up of patients with breast cancer before and during their treatment.
The project started with the selection of a list of competences to be developed in the students. From that list and based on a real problem situation posed by two training partners (TPs), a challenge was designed. The challenge was presented to students interested in participating and 11 students were selected. So, in 18 weeks, the students, accompanied by professors, built solution proposals for the challenge. During the construction process, the students developed the established competences. The project had a vision: “learning that helps”.
The intended outcomes were: A report that evidenced the development of students' competences, and two computer applications for monitoring the treatment of patients with breast cancer.
Index Terms—Educational innovation and higher education, competency-based learning, computer sciences, learning environment, computer applications, breast cancer, data analytics, cloud computing.
The authors are with the Computer Department, Tecnológico de Monterrey, México (e-mail: email@example.com).
Cite: Mónica Larre-Bolaños-Cacho, Sergio Hernández-Alamilla, Ramona Fuentes-Valdéz, Pedro Najera-García, "Data Analytics and Cloud Computing vs Breast Cancer: Learning That Helps," International Journal of Information and Education Technology vol. 10, no. 4, pp. 245-251, 2020.Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).