An extension of the SEMAT kernel for representing teaching and learning practices about embedded systems

Ruben Sanchez-Dams, Alexander Baron-Salazar, Maria Clara Gomez-Alvarez

Resultado de la investigación: Contribución a una conferenciaPaper

Resumen

© 2016 IEEE. Demand for embedded systems has increased in recent years. This demand requires engineers with specialized skills and knowledge. For this, the higher education institutions are developing training strategies aimed primarily at lectures and laboratory practices. However, these strategies are insufficient for the development of technical and social skills required by engineers. In addition, currently there is a lack of a common framework to facilitate teaching-learning process and achievement of learning objectives. In this paper, the authors present a proposal for representation of teaching and learning practices about embedded systems, which have been oriented to track and encourage competency development. The proposal is based on the SEMAT kernel as universal framework for representing software engineering practices, defining an extension to such kernel. In addition, a methodology is proposed with a practical approach for creating theories related to computing, this methodology is used to define an extension of the SEMAT kernel for another discipline domain. In this paper, a first form of general representation of teaching and learning practices about embedded system is proposed. The proposal includes the minimum elements that should have any practice of teaching and learning about embedded systems, and the extension mechanisms to represent specific elements.
Idioma originalInglés estadounidense
Páginas39-46
Número de páginas8
DOI
EstadoPublicada - 23 may 2016
EventoProceedings - 2016 4th International Conference in Software Engineering Research and Innovation, CONISOFT 2016 -
Duración: 23 may 2016 → …

Conferencia

ConferenciaProceedings - 2016 4th International Conference in Software Engineering Research and Innovation, CONISOFT 2016
Período23/05/16 → …

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    Sanchez-Dams, R., Baron-Salazar, A., & Gomez-Alvarez, M. C. (2016). An extension of the SEMAT kernel for representing teaching and learning practices about embedded systems. 39-46. Papel presentado en Proceedings - 2016 4th International Conference in Software Engineering Research and Innovation, CONISOFT 2016, . https://doi.org/10.1109/CONISOFT.2016.15