Open AccessSPEET: WEB BASED IT TOOL FOR ACADEMIC DATA ANALYSIS
Author(s) -
Ramón Vilanova,
José López Vicario,
Miguel A. Prada,
Marian Barbu,
Manuel Domínguez-Pumar,
Maria João Varanda Pereira,
Michał Podpora,
Umberto Spagnolini,
Paulo Alves,
Anna Maria Pagai
Publication year - 2019
Publication title -
inted proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 2340-1087
pISSN - 2340-1079
DOI - 10.21125/inted.2019.1274
Subject(s) - computer science , world wide web , data science
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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