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Fernando De la Prieta - Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference

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Fernando De la Prieta Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference

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State-of-the-art and novel methodologies and technologies allow researchers, designers, and domain experts to pursue technology-enhanced learning (TEL) solutions targeting not only cognitive processes but also motivational, personality, or emotional factors. The International Conference in Methodologies and Intelligent Systems for Technology-Enhanced Learning (MIS4TEL21) is hosted by the University of Salamanca and was held in Salamanca (Spain) from October 68, 2021. The annual appointment of MIS4TEL established itself as a consolidated fertile forum where scholars and professionals from the international community, with a broad range of expertise in the TEL field, share results and compare experiences. The calls for papers of the 11th edition of the conference welcomed novel research in TEL and expands on the topics of the previous editions: It solicited work from new research fields (ranging from artificial intelligence and agent-based systems to robotics, virtual reality, Internet of things and wearable solutions, among others) concerning methods and technological opportunities, and how they serve to create novel approaches to TEL, innovative TEL solutions, and valuable TEL experiences.

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Book cover of Methodologies and Intelligent Systems for Technology Enhanced - photo 1
Book cover of Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference
Volume 326
Lecture Notes in Networks and Systems
Series Editor
Janusz Kacprzyk
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Advisory Editors
Fernando Gomide
Department of Computer Engineering and AutomationDCA, School of Electrical and Computer EngineeringFEEC, University of CampinasUNICAMP, So Paulo, Brazil
Okyay Kaynak
Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey
Derong Liu
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Witold Pedrycz
Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Marios M. Polycarpou
Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus
Imre J. Rudas
buda University, Budapest, Hungary
Jun Wang
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong

The series Lecture Notes in Networks and Systems publishes the latest developments in Networks and Systemsquickly, informally and with high quality. Original research reported in proceedings and post-proceedings represents the core of LNNS.

Volumes published in LNNS embrace all aspects and subfields of, as well as new challenges in, Networks and Systems.

The series contains proceedings and edited volumes in systems and networks, spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output.

The series covers the theory, applications, and perspectives on the state of the art and future developments relevant to systems and networks, decision making, control, complex processes and related areas, as embedded in the fields of interdisciplinary and applied sciences, engineering, computer science, physics, economics, social, and life sciences, as well as the paradigms and methodologies behind them.

Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago.

All books published in the series are submitted for consideration in Web of Science.

More information about this series at http://www.springer.com/series/15179

Editors
Fernando De la Prieta , Rosella Gennari , Marco Temperini , Tania Di Mascio , Pierpaolo Vittorini , Zuzana Kubincova , Elvira Popescu , Davide Rua Carneiro , Loreto Lancia and Agnese Addone
Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference
1st ed. 2022
Logo of the publisher Editors Fernando De la Prieta Edificio Multiusos - photo 2
Logo of the publisher
Editors
Fernando De la Prieta
Edificio Multiusos I+D+I, Sala 24.1, University of Salamanca, Salamanca, Salamanca, Spain
Rosella Gennari
Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy
Marco Temperini
Department of Computer, Control and Management Engineering, Sapienza University, Rome, Italy
Tania Di Mascio
Department of Information Engineering, Computer Science and Mathematics, University of LAquila, LAquila, LAquila, Italy
Pierpaolo Vittorini
Department of Life, Health and Environmental Sciences, University of LAquila, LAquila, Italy
Zuzana Kubincova
Physics and Informatics, KDMFI, Comenius University, Faculty of Mathematics, Bratislava, Slovakia
Elvira Popescu
Computer and Information Technology, University of Craiova, Craiova, Romania
Davide Rua Carneiro
CIICESI, ESTG, Polytechnic of Porto, Felgueiras, Portugal
Loreto Lancia
Department of Life, Health and Environmental Sciences, University of LAquila, Coppito, Italy
Agnese Addone
Universit degli Studi di Salerno, Fisciano, Italy
ISSN 2367-3370 e-ISSN 2367-3389
Lecture Notes in Networks and Systems
ISBN 978-3-030-86617-4 e-ISBN 978-3-030-86618-1
https://doi.org/10.1007/978-3-030-86618-1
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

Education is the cornerstone of any society, and it serves as one of the foundations for many of its social values and characteristics. State-of-the-art and novel methodologies and technologies allow researchers, designers, and domain experts to pursue Technology Enhanced Learning (TEL) solutions targeting not only cognitive processes but also motivational, personality, or emotional factors. Nowadays, we can identify two main legs, providing necessary and complementary strengths to a TEL-oriented design process: Appropriate technologies should be applied, and appropriate methods should guide such application. Technologies in TEL can deliver smart, personalized, tailored, and motivating learning solutions. Methods come from different fields, such as psychology, medicine, computer science, and from diverse communities, where collaboration and co-working are used, such as maker communities and participatory design communities. In addition, learning analytics can help manage (big) data to augment learning opportunities for learners and educators alike, for instance, by supporting self-regulated learning or adaptation of the learning material.

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