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Gila Apelboim-Dushnitzky; Oren Tova – Journal of Educational Computing Research, 2025
This study tested the potential of a technological intervention procedure for promoting letter-naming and initial-phoneme detection skills among preschoolers at risk for Specific Learning Disorder. The study rational is based on evidence for paired associated learning of visual-verbal stimuli, integrated with the use of a tangible technological…
Descriptors: Preschool Children, Dyslexia, At Risk Students, Alphabets
Zugarramurdi, Camila; Fernández, Lucía; Lallier, Marie; Carreiras, Manuel; Valle-Lisboa, Juan C. – Journal of Educational Computing Research, 2022
Massive and timely screening of the student population for early signs of reading difficulties is needed to implement timely effective remediation of these difficulties. However, traditional approaches are costly and hard to apply. Here, we present Lexiland, a tablet-based reading assessment tool for kindergarten and primary school children…
Descriptors: Handheld Devices, Screening Tests, Reading Difficulties, Elementary School Students
Kakkonen, Tuomo; Mozgovoy, Maxim – Journal of Educational Computing Research, 2010
Plagiarism has become a serious problem in education, and several plagiarism detection systems have been developed for dealing with this problem. This study provides an empirical evaluation of eight plagiarism detection systems for student essays. We present a categorical hierarchy of the most common types of plagiarism that are encountered in…
Descriptors: Plagiarism, Essays, Internet, Evaluation
Mozgovoy, Maxim; Kakkonen, Tuomo; Cosma, Georgina – Journal of Educational Computing Research, 2010
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to…
Descriptors: Plagiarism, Alphabets, Internet, Ethics