Scaffolding the OEEU's Data-Driven Ecosystem to Analyze the Employability of Spanish Graduates

Author:

Vázquez-Ingelmo Andrea1,Cruz-Benito Juan1,García-Peñalvo Francisco J.2ORCID,Martín-González Martín3

Affiliation:

1. University of Salamanca, Spain

2. GRIAL Research Group at University of Salamanca, Spain

3. Technical University of Madrid, Spain

Abstract

This chapter outlines the technological evolution experimented by the Observatory for University Employability and Employment's information system to become a data-driven technological ecosystem. This observatory collects data from more than 50 Spanish universities and their graduate students (bachelor's degree, master's degree) with the goal of measuring the factors that lead to students' employability and employment. The goals pursued by the observatory need a strong technological support to gather, process, and disseminate the related data. The system that supports these tasks has evolved from a standard (traditional) information system to a data-driven ecosystem, which provides remarkable benefits covering the observatory's requirements. The benefits, the foundations, and the way the data-driven ecosystem is built will be described throughout the chapter, as well as how the information obtained is exploited in order to provide insights about the employment and employability variables.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Addressing Fine-Grained Variability in User-Centered Software Product Lines: A Case Study on Dashboards;Advances in Intelligent Systems and Computing;2019

2. Application of Domain Engineering to Generate Customized Information Dashboards;Learning and Collaboration Technologies. Learning and Teaching;2018

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