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Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Tania Di Mascio

    1. Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy

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  2. Pierpaolo Vittorini

    1. Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

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  3. Rosella Gennari

    1. Computer Science Faculty, Free University of Bozen-Bolzano, Bolzano, Italy

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  4. Fernando De la Prieta

    1. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

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  5. Sara Rodríguez

    1. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

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  6. Marco Temperini

    1. Dipartimento di Ingegneria Informatica, Sapienza Università di Roma, Rome, Italy

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  7. Ricardo Azambuja Silveira

    1. Department of Computer Science and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil

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  8. Elvira Popescu

    1. Faculty of Automation Computers and Electronics Computers and Information Technology Department, University of Craiova, Craiova, Romania

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  9. Loreto Lancia

    1. Department of Life, Health and Environmental Sciences, University of L’Aquila, Coppito, Holy See (Vatican City State)

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  • Presents the latest research on methodologies and intelligent systems for technology enhanced learning (TEL)
  • Includes the outcomes of the 8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning held in Toledo, Spain, from 20th to 22nd June, 2018
  • Focuses on the increasing role of intelligent systems in shaping technology enhanced learning for knowledge societies

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 804)

Included in the following conference series:

Conference proceedings info: MIS4TEL 2018.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Main Track

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Blending Classroom, Collaborative, and Individual Learning Using Backstage 2

      • Sebastian Mader, François Bry
      Pages 3-11

    3. Predicting Learners’ Behaviours to Get It Wrong

      • Niels Heller, François Bry
      Pages 12-19

    4. A Run-Time Detector of Hardworking E-Learners with Underperformance

      • Diego García-Saiz, Marta Zorrilla, Alfonso de la Vega, Pablo Sánchez
      Pages 20-28

    5. The Use of Gamification as a Teaching Methodology in a MOOC About the Strategic Energy Reform in México

      • J. Mena, E. G. Rincón Flores, R. Ramírez-Velarde, M. S. Ramírez-Montoya
      Pages 29-36

    6. Real Marks Analysis for Predicting Students’ Performance

      • Giulio Angiani, Alberto Ferrari, Paolo Fornacciari, Monica Mordonini, Michele Tomaiuolo
      Pages 37-44

    7. Multisensory Educational Materials: Five Senses to Learn

      • Michela Ponticorvo, Raffale Di Fuccio, Fabrizio Ferrara, Angelo Rega, Orazio Miglino
      Pages 45-52

    8. Human Expert Labeling Process: Valence-Arousal Labeling for Students’ Affective States

      • Sinem Aslan, Eda Okur, Nese Alyuz, Asli Arslan Esme, Ryan S. Baker
      Pages 53-61

    9. A Week of Playing with Code, the Object-Oriented Way

      • Michele Tomaiuolo, Giulio Angiani, Alberto Ferrari, Monica Mordonini, Agostino Poggi
      Pages 62-69

    10. Emojis’ Psychophysics: Measuring Emotions in Technology Enhanced Learning Contexts

      • Roberto Burro, Margherita Pasini, Daniela Raccanello
      Pages 70-78

    11. The Usability of Multiple Devices for Assessment in Psychological Research: Salience of Reasons Underlying Usability

      • Daniela Raccanello, Margherita Brondino, Margherita Pasini, Maria Gabriella Landuzzi, Diego Scarpanti, Giada Vicentini et al.
      Pages 79-87

    12. Collaborative Language Learning Through Computer-Assisted Translation on a Wiki-Based Platform: Operations and Management

      • Vincenzo Baraniello, Luigi Laura, Maurizio Naldi
      Pages 88-96

    13. Learning Scientific Concepts with Text Mining Support

      • Eliseo Reategui, Ana Paula M. Costa, Daniel Epstein, Michel Carniato
      Pages 97-105

    14. Virtual Reality Learning Environments in Materials Engineering: Rockwell Hardness Test

      • M. P. Rubio, D. Vergara, S. Rodríguez, J. Extremera
      Pages 106-113

    15. A Teaching Experience on Information Systems Auditing

      • Ricardo Pérez-Castillo, Ignacio García Rodríguez de Guzmán, Moisés Rodríguez, Mario Piattini
      Pages 114-122

    16. Compliance to eXtreme Apprenticeship in a Programming Course: Performance, Achievement Emotions, and Self-efficacy

      • Margherita Brondino, Vincenzo Del Fatto, Rosella Gennari, Margherita Pasini, Daniela Raccanello
      Pages 123-130

    17. Learning Analytics in the Classroom: Comparing Self-assessment, Teacher Assessment and Tests

      • Michael D. Kickmeier-Rust, Lenka Firtova
      Pages 131-138

    18. Towards a Model of Early Entrepreneurial Education: Appreciation, Facilitation and Evaluation

      • Elisabeth Unterfrauner, Christian Voigt, Sandra Schön
      Pages 139-146

    19. Awareness of School Learning Environments

      • Margarida Figueiredo, Henrique Vicente, Jorge Ribeiro, José Neves
      Pages 147-155
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  1. Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference

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About this book

This book presents the outcomes of the 8th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning held in Toledo (Spain) hosted by the University of Castilla-La Mancha from 20 th to 22nd June 2018. Further expanding the topics of the previous editions, the conference provided an open forum for discussing intelligent systems for technology enhanced learning (TEL) and their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone and web-based solutions and maker spaces, and also fostering entrepreneurship and increasing business startup ideas. It brought together researchers and developers from industry, the education field and the academic world to report on the latest scientific research, technical advances and methodologies.

Editors and Affiliations

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

    Tania Di Mascio

  • Department of Life, Health and Environmental Sciences, University of L’Aquila, L’Aquila, Italy

    Pierpaolo Vittorini

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

    Rosella Gennari

  • BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Fernando De la Prieta, Sara Rodríguez

  • Dipartimento di Ingegneria Informatica, Sapienza Università di Roma, Rome, Italy

    Marco Temperini

  • Department of Computer Science and Statistics, Federal University of Santa Catarina, Florianópolis, Brazil

    Ricardo Azambuja Silveira

  • Faculty of Automation Computers and Electronics Computers and Information Technology Department, University of Craiova, Craiova, Romania

    Elvira Popescu

  • Department of Life, Health and Environmental Sciences, University of L’Aquila, Coppito, Holy See (Vatican City State)

    Loreto Lancia

Bibliographic Information

  • Book Title: Methodologies and Intelligent Systems for Technology Enhanced Learning, 8th International Conference

  • Editors: Tania Di Mascio, Pierpaolo Vittorini, Rosella Gennari, Fernando De la Prieta, Sara Rodríguez, Marco Temperini, Ricardo Azambuja Silveira, Elvira Popescu, … Loreto Lancia

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-98872-6

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-319-98871-9Published: 23 September 2018

  • eBook ISBN: 978-3-319-98872-6Published: 22 September 2018

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XX, 304

  • Number of Illustrations: 88 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence

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