Computers & Education
April 2019 Volume 131, Number 1
Table of Contents
Number of articles: 4
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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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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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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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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