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Kevser Tozduman Yarali – Journal of Learning and Teaching in Digital Age, 2025
Digital games are among the most common reasons children use the internet, and the time children spend playing digital games is increasing day by day. This research aims to identify the characteristics of the digital games most preferred by children, while also examining their digital gaming habits. The study was conducted using a qualitative…
Descriptors: Elementary School Students, Middle School Students, Computer Games, Handheld Devices
Arini, Rhea L.; Wiggs, Luci; Kenward, Ben – Developmental Psychology, 2021
Although children enact third-party punishment, at least in response to harm and fairness violations, much remains unknown about this behavior. We investigated the tendency to make the punishment fit the crime in terms of moral domain; developmental patterns across moral domains; the effects of audience and descriptive norm violations; and…
Descriptors: Punishment, Ethics, Moral Values, Audiences
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
Cui, Yang; Chu, Man-Wai; Chen, Fu – Journal of Educational Data Mining, 2019
Digital game-based assessments generate student process data that is much more difficult to analyze than traditional assessments. The formative nature of game-based assessments permits students, through applying and practicing the targeted knowledge and skills during gameplay, to gain experiences, receive immediate feedback, and as a result,…
Descriptors: Educational Games, Student Evaluation, Data Analysis, Bayesian Statistics
Krenca, Klaudia; Gottardo, Alexandra; Geva, Esther; Chen, Xi – Annals of Dyslexia, 2020
The purpose of the present study was to examine the predictive value of a dynamic test of English and French lexical specificity on at-risk reading classification in 13 at-risk and 44 not at-risk emerging English (L1)-French (L2) bilingual Grade 1 children (M = 75.87 months, SD = 3.18) enrolled in an early French immersion program in Canada.…
Descriptors: French, Dyslexia, English, Native Language
Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis

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