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Computers & Education

April 2019 Volume 131, Number 1

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Table of Contents

Number of articles: 4

  1. An emotion regulation app for school inclusion of children with ASD: Design principles and evaluation

    Charles Fage, Unité de Logopédie Clinique; Charles Consel, Équipe Phoenix, France; Kattalin Etchegoyhen, Anouck Amestoy & Manuel Bouvard, Centre Ressources Autisme et Troubles du Développement, France; Cécile Mazon & Hélène Sauzéon, Laboratoire HACS Handicap, Activité, Cognition et Système Nerveux, France

    The inclusion of adolescents with Autism Spectrum Disorders (ASD) in mainstream environments, especially mainstream classrooms, is critically impeded by their difficulties in self-regulating their ... More

    pp. 1-21

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  2. Utilizing early engagement and machine learning to predict student outcomes

    Cameron C. Gray & Dave Perkins

    Finding a solution to the problem of student retention is an often-required task across Higher Education. Most often managers and academics alike rely on intuition and experience to identify the... More

    pp. 22-32

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  3. Digital support for academic writing: A review of technologies and pedagogies

    Carola Strobl, University of Antwerp, Belgium; Emilie Ailhaud, University of Lyon 2, France; Kalliopi Benetos, University of Geneva, Switzerland; Ann Devitt, Trinity College Dublin, Ireland; Otto Kruse, Zurich University of Applied Sciences, Switzerland; Antje Proske, TU Dresden, Psychology of Learning and Instruction, Germany; Christian Rapp, ZHAW, School of Management and Law, Switzerland

    This paper presents a review of the technologies designed to support writing instruction in secondary and higher education. The review covers tools to support first and second language writers and ... More

    pp. 33-48

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  4. Predictors of Academic Dishonesty among undergraduate students in online and face-to-face courses

    Yehuda Peled, Information Studies, Israel; Yovav Eshet, Interdisciplinary Department, Israel; Casimir Barczyk & Keren Grinautski, School of Management, United States

    Unethical behaviors within the academic environment, academic dishonesty (AD), is a well-researched phenomenon. Various factors explain this phenomenon. This study investigates and presents a new... More

    pp. 49-59

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