Andrea Vazquez Ingelmo

Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors

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 …

francisco-j.-garcia-penalvo
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How Different Versions of Layout and Complexity of Web Forms Affect Users After They Start It? A Pilot Experience

This paper presents a research work that analyzes the effect of redirecting users between two different versions of a web form after they have started the questionnaire. In this …

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

This chapter outlines the technological evolution experimented by the Observatory for University Employability and Employment's information system to become a data-driven …

andrea-vazquez-ingelmo
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Enabling Adaptability in Web Forms Based on User Characteristics Detection Through A/B Testing and Machine Learning

This paper presents an original study with the aim of improving users' performance in completing large questionnaires through adaptability in web forms. Such adaptability is based …

juan-cruz-benito
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Improving the OEEU's data-driven technological ecosystem's interoperability with GraphQL

A crucial part of data-driven ecosystems1 is the management and processing of complex data structures, as well as the proper handling of the data flows within the ecosystem. To …

andrea-vazquez-ingelmo
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Improving success/completion ratio in large surveys: a proposal based on usability and engagement

This paper presents a research focused on improving the success/completion ratio in large surveys. In our case, the large survey is a questionnaire produced by the Spanish …

juan-cruz-benito
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