Abstract
This article presents a teaching-learning methodology designed for the acquisition of competences related to the subject of Adjustment of Observations in the Degree in Engineering in Geomatics and Surveying. The activity has been designed to cover the majority of the competences and learning objectives of the subject. And due to the wide scope of the activity's goal, a novel teaching support software has been developed (SDART) to be used in conjunction with other free suites (Octave). Through an application of the Project-Based Learning methodology in a simple observation project of a surveying network, the students will develop their mathematical and statistical competences. The focus of the approach is allowing the students to understand and interpret the different error sources in field observations and their role in the process of determining the optimal solution by means of least squares. This teaching-learning approach supported by the ad-hoc developed software will assist the students to achieve their learning goals and reach the professional skills required for their practical work in geomatics and surveying.
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References
Ghilani, C.D., Wolf, P.R.: Adjustment Computations: Spatial Data Analysis. Wiley, New Jersey (2017)
Rodríguez-Gonzálvez, P., García-Gago, J., Gómez-Lahoz, J., González-Aguilera, D.: Confronting passive and active sensors with non-gaussian statistics. Sensors 14(8), 13759–13777 (2014). https://doi.org/10.3390/s140813759
Nievergelt, Y.: A tutorial history of least squares with applications to astronomy and geodesy. J. Comput. Appl. Math. 121(1–2), 37–72 (2000). https://doi.org/10.1016/S0377-0427(00)00343-5
Krajcik, J.S., Blumenfeld, P.C.: Project-based learning. In: The Cambridge Handbook of the learning sciences, pp. 317–334. Cambridge University Press, New York (2006)
Naji, K.K., Ebead, U., Al-Ali, A.K., Du, X.: Comparing models of problem and Project-Based Learning (PBL) courses and student engagement in civil engineering in Qatar. Eurasia J. Math. Sci. Technol. Educ. 16(8), 1867 (2020). https://doi.org/10.29333/ejmste/8291
Fernández-Puerto, J., García-Osorio, P., Rodríguez-Martín, M., Rodríguez-Gonzálvez, P.: Engineering capstone project as a service-learning activity: a case study in Geomatics degree. In: Proceedings of the 9th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2021) (Barcelona, Spain, 27–29 Oct 2021). ACM International Conference Proceeding Series (ICPS), pp. 373–377. ACM, New York, NY, USA (2021). https://doi.org/10.1145/3486011.3486477
Rodríguez-Martín, M., Rodríguez-Gonzálvez, P., Sánchez-Patrocinio, A., Sánchez, J.R.: Short CFD simulation activities in the context of fluid-mechanical learning in a multidisciplinary student body. Appl. Sci. 9(22), 4809 (2019). https://doi.org/10.3390/app9224809
Spanish Official Gazette: Orden CIN/353/2009, de 9 de febrero, por la que se establecen los requisitos para la verificación de los títulos universitarios oficiales que habiliten para el ejercicio de la profesión de Ingeniero Técnico en Topografía (2009). https://www.boe.es/boe/dias/2009/02/20/pdfs/BOE-A-2009-2895.pdf. Accessed 03 Jun 2022
Qt: Qt Creator - A Cross-platform IDE for software development (2022). https://www.qt.io/product/development-tools. Accessed 03 Jun 2022
Sanderson, C., Curtin, R.: Armadillo: a template-based C++ library for linear algebra. J. Open Source Softw. 1(2), 26 (2016). https://doi.org/10.21105/joss.00026
Rodríguez-Martín, M., Rodríguez-Gonzálvez, P.: Learning based on 3D photogrammetry models to evaluate the competences in visual testing of welds. In: 2018 IEEE Global Engineering Education Conference (EDUCON) (Santa Cruz de Tenerife, Spain, April 17–20), pp. 1576–1581. IEEE (2018). https://doi.org/10.1109/EDUCON.2018.8363422
Rodríguez-Martín, M., Rodríguez-Gonzálvez, P.: Learning methodology based on weld virtual models in the mechanical engineering classroom. Comput. Appl. Eng. Educ. 27(5), 1113–1125 (2019). https://doi.org/10.1002/cae.22140
Rodríguez-Gonzálvez, P., Allende-Prieto, C., Rodríguez-Martín, M.: Learning physical geodesy. Application case to geoid undulation computation. In: Proceedings of the 8th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2020) (Salamanca, Spain, 21–23 Oct 2020). ACM International Conference Proceeding Series (ICPS), pp. 84–90. ACM, New York, NY, USA (2020). https://doi.org/10.1145/3434780.3436546
Octave: Scientific Programming Language Version 6.4 (2022). https://www.gnu.org/software/octave/. Accessed 03 Jun 2022
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This work has been supported by the 2022 Educational Innovation Program of the Universidad de León (PAID – Plan de Apoyo a la Innovación Docente).
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Rodríguez-Gonzálvez, P., Rodríguez-Martín, M., García-Osorio, P. (2023). SDART Software: A Novel Tool Designed to Enhance Learning in Adjustment Computation in Surveying. In: García-Peñalvo, F.J., García-Holgado, A. (eds) Proceedings TEEM 2022: Tenth International Conference on Technological Ecosystems for Enhancing Multiculturality. TEEM 2022. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-0942-1_8
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