TY - GEN
T1 - Use of a decision-making laboratory to support student's visual analysis for the solution of a transportation problem in Mexico City
AU - Corella, Christelle N.
AU - Noguez, Julieta
AU - Jose Martin Molina, E.
AU - Sotkoeva, Erzhena
AU - Salla, Rahul
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the “Fund for Energy Sustainability CONACyT-SENER” (Fondo Sectorial CONACyT-Secretaría de Energía-Sustentabilidad Energética) under Grant 266632 “Bi-national laboratory for the intelligent management of energy sustainability and technological education; and CONACyT under Grant 786737; and Tecnológico de Monterrey, Campus Ciudad de México by grant for scholarship tuition. The authors would like also to acknowledge the financial support of Writing Lab, TecLabs,
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - This Innovative Practice Work in Progress presents a proposal to promote the use of information technologies for students through decision center visualizations in order to facilitate their analysis process of information related to real life problems. To improve the students' learning process, Tecnologico de Monterrey University designed and implemented a set of challenges and curriculum within the Tec21 educational model. It focuses on the creation and development of classes that allow students face real world challenges with the use of the different information technology tools available. As part of this, is the creation of the decision-making laboratory that seeks to support the analysis, visualization and interaction of information in a decision-making process. The decision-making laboratory, together with the department of computational sciences, designed a challenge that aims to carry out the analysis and visualization of open data concerning the urban mobility problem in the financial and corporate center of Mexico City. It was designed for students enrolled in the last third of the Computer Science major. This paper presents the implementation process and the encouraging results through the use of a decision-making laboratory to create and use specialized visualizations regarding an urban mobility problem in Mexico City.
AB - This Innovative Practice Work in Progress presents a proposal to promote the use of information technologies for students through decision center visualizations in order to facilitate their analysis process of information related to real life problems. To improve the students' learning process, Tecnologico de Monterrey University designed and implemented a set of challenges and curriculum within the Tec21 educational model. It focuses on the creation and development of classes that allow students face real world challenges with the use of the different information technology tools available. As part of this, is the creation of the decision-making laboratory that seeks to support the analysis, visualization and interaction of information in a decision-making process. The decision-making laboratory, together with the department of computational sciences, designed a challenge that aims to carry out the analysis and visualization of open data concerning the urban mobility problem in the financial and corporate center of Mexico City. It was designed for students enrolled in the last third of the Computer Science major. This paper presents the implementation process and the encouraging results through the use of a decision-making laboratory to create and use specialized visualizations regarding an urban mobility problem in Mexico City.
UR - http://www.scopus.com/inward/record.url?scp=85082457896&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082457896&partnerID=8YFLogxK
U2 - 10.1109/FIE43999.2019.9028550
DO - 10.1109/FIE43999.2019.9028550
M3 - Conference contribution
AN - SCOPUS:85082457896
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - 2019 IEEE Frontiers in Education Conference, FIE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Frontiers in Education Conference, FIE 2019
Y2 - 16 October 2019 through 19 October 2019
ER -