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Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference

  • Conference proceedings
  • © 2023

Overview

  • Provides latest research on methodologies and intelligent systems for technology enhanced learning
  • Is results of 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning
  • Focuses on the increasing role of intelligent systems to shape Technology Enhanced Learning for knowledge societies

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 764)

Included in the following conference series:

Conference proceedings info: MIS4TEL 2023.

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Table of contents (26 papers)

Other volumes

  1. Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference

  2. Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference

Keywords

About this book

Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’23 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators.

The 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL’23) technical program includes 26 contributions (13 full papers and 13 short papers). mis4TEL’23 is hosted by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA and APPIA), and the sponsors (AIR Institute and Camara Municipal de Guimarães).


Editors and Affiliations

  • Linnaeus University, Växjö, Sweden

    Marcelo Milrad

  • University of Greenwich, London, UK

    Nuno Otero

  • Didactics,Organization & Research Method, University of Salamanca, Salamanca, Spain

    María Cruz Sánchez‑Gómez

  • Facultad de Educación, Universidad de Salamanca, Salamanca, Spain

    Juan José Mena

  • University of Minho, Braga, Portugal

    Dalila Durães, Manuel Rodrigues

  • Mercatorum University, Rome, Italy

    Filippo Sciarrone

  • Fac Ingenieria y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile

    Claudio Alvarez-Gómez

  • Dept Life, Health & Envtl Sci, University of L’Aquila, L'AQUILA, Italy

    Pierpaolo Vittorini

  • Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Rosella Gennari

  • Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, L'AQUILA, Italy

    Tania Di Mascio

  • Dipartimento di Ingegneria Informatica, Sapienza Universita' di Roma, Rome, Italy

    Marco Temperini

  • Departamento Informatica Automatica, Universidad de Salamanca, Salamanca, Spain

    Fernando De la Prieta

About the editors


Bibliographic Information

  • Book Title: Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference

  • Editors: Marcelo Milrad, Nuno Otero, María Cruz Sánchez‑Gómez, Juan José Mena, Dalila Durães, Filippo Sciarrone, Claudio Alvarez-Gómez, Manuel Rodrigues, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-41226-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-41225-7Published: 01 September 2023

  • eBook ISBN: 978-3-031-41226-4Published: 31 August 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XV, 260

  • Number of Illustrations: 12 b/w illustrations, 38 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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