Publications

Now showing 1 - 3 of 3

Taking advantage of the software product line paradigm to generate customized user interfaces for decision-making processes: A case study on university employability
(2019-07-01) Vázquez-Ingelmo, A.; García-Peñalvo, F. J.; Therón, R.
University employment and, specifically, employability has gained relevance since research in these fields can lead to improvement in the quality of life of individual citizens. However, empirical research is still insufficient to make significant decisions, and relying on powerful tools to explore data and reach insights on these fields is paramount. Information dashboards play a key role in analyzing and visually exploring data about a specific topic or domain, but end users can present several necessities that differ from each other, regarding the displayed information itself, design features and even functionalities. By applying a domain engineering approach (within the software product line paradigm), it is possible to produce customized dashboards to fit into particular requirements, by the identification of commonalities and singularities of every product that could be part of the product line. Software product lines increase productivity, maintainability and traceability regarding the evolution of the requirements, among other benefits. To validate this approach, a case study of its application in the context of the Spanish Observatory for University Employability and Employment system has been developed, where users (Spanish universities and administrators) can control their own dashboards to reach insights about the employability of their graduates. These dashboards have been automatically generated through a domain specific language, which provides the syntax to specify the requirements of each user. The domain language fuels a template-based code generator, allowing the generation of the dashboards' source code. Applying domain engineering to the dashboards' domain improves the development and maintainability of these complex software products given the variety of requirements that users might have regarding their graphical interfaces.
Proposing a machine learning approach to analyze and predict employment and its factors
(2018-08-28) García-Peñalvo, F. J.; Cruz-Benito, J.; Martín-González, M.; Vázquez-Ingelmo, A.; Sánchez-Prieto, J. C.; Therón
This paper presents an original study with the aim of propose and test a machine learning approach to research about employability and employment. To understand how the graduates get employed, researchers propose to build predictive models using machine learning algorithms, extracting after that the most relevant factors that describe the model and employing further analysis techniques like clustering to get deeper insights. To test the proposal, is presented a case study that involves data from the Spanish Observatory for Employability and Employment (OEEU). Using data from this project (information about 3000 students), has been built predictive models that define how these students get a job after finalizing their degrees. The results obtained in this case study are very promising, and encourage authors to refine the process and validate it in further research.
Las competencias transversales de los egresados de los másteres universitarios
(Ediciones Universidad de Salamanca, 2018-03-31) García-Peñalvo, F. J.
Recientemente en una entrevista con empleadores de un máster universitario se ponía de manifiesto la importancia que estos le daban a las competencias transversales para estos egresados. En el Barómetro de empleabilidad y empleo universitarios (Edición Máster 2017), presentado en febrero de 2018, se destacaba la visión que los egresados tenían de la importancia de estas competencias y el nivel formativo que recibían en estos títulos universitarios. En este artículo se va a reflexionar sobre este aspecto tan importante de cara al empleo de los universitarios y del papel que debe jugar la Universidad

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