CHARACTERIZATION OF ENGINEERING STUDENT PROFILES AT EUROPEAN INSTITUTIONS BY USING SPEET IT-TOOL | Zendy

Ramón Vilanova | Zendy; José L. Vicário | Zendy; Miguel A. Prada | Zendy; Marian Barbu | Zendy; Manuel Domí­nguez | Zendy; Maria João Varanda Pereira | Zendy; Michał Podpora | Zendy; Umberto Spagnolini | Zendy; Paulo Alves | Zendy; Anna Maria Pagai | Zendy

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CHARACTERIZATION OF ENGINEERING STUDENT PROFILES AT EUROPEAN INSTITUTIONS BY USING SPEET IT-TOOL

Author(s) -

Ramón Vilanova,

José L. Vicário,

Miguel A. Prada,

Marian Barbu,

Manuel Domínguez,

Maria João Varanda Pereira,

Michał Podpora,

Umberto Spagnolini,

Paulo Alves,

Anna Maria Pagai

Publication year - 2019

Publication title -

edulearn proceedings

Language(s) - English

Resource type - Conference proceedings

eISSN - 2340-1125

pISSN - 2340-1117

DOI - 10.21125/edulearn.2019.2209

Subject(s) - characterization (materials science) , computer science , materials science , nanotechnology

The international ERASMUS+ project SPEET (Student Profile for Enhancing Engineering Tutoring) aims at opening a new perspective to university tutoring systems. Before looking for its nature, it’s recommended to have a look on the current use of data in education and on the concept of academic analytics basically defined as the process of evaluating and analysing data received from university systems for reporting and decision making reasons. The provided tools are freely available to anyone that has academic data to explore. The paper will present the architecture that is behind the presented IT tool, input data needed to operate and main functionalities as well as examples of use to show how academic data can be interpreted.

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