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Direct linkSharon R. Mittiga; Nerelie C. Freeman; Brett E. Furlonger; Perrin Chan; Erin S. Leif – Journal of Positive Behavior Interventions, 2025
This study evaluated the quality and behavior change techniques (BCTs) included in 11 freely available mobile classroom behavior management applications (mCBM apps). We found that mCBM apps included a limited number of BCTs, with an average of 9 of 21 possible BCTs. Consequence-based BCTs like rewards and feedback were common, while…
Descriptors: Behavior Modification, Student Behavior, Computer Uses in Education, Positive Behavior Supports
Lucy Bray; Sze May Ng; Lauren Pyke; Joanna Kikby – Health Education Journal, 2024
Objective: Children report needle procedures as one of their most feared and painful experiences. Negative blood test experiences can lead to lifelong implications. Xploro is an online health information platform (app) that uses age-appropriate self-directed augmented reality (AR) techniques. This study evaluated the acceptability, feasibility and…
Descriptors: Early Adolescents, Children, Fear, Computer Oriented Programs
Liu Yifu; Ma Yan; Huang Libing; Xiao Chunling; Ding Tao – Education and Information Technologies, 2025
Interventions utilizing human-computer interaction (HCI) in autism rehabilitation have gained popularity, yet their efficacy has not been fully elucidated. This meta-analysis assessed 30 international studies from the past decade that employed HCIs for autism intervention. The findings revealed a moderate positive effect (g = 0.484) on improving…
Descriptors: Man Machine Systems, Interaction, Intervention, Autism Spectrum Disorders
Peña L. Bedesem; Brian R. Barber; Kara Rosenblatt – Intervention in School and Clinic, 2024
Students with disabilities may demonstrate high rates of off-task behavior, resulting in poor academic achievement. To decrease students' off-task behavior, teachers can identify student-guided supportive strategies to limit the amount of time they dedicate to behavior management. Moreover, when teachers use effective student-guided strategies…
Descriptors: Technology Uses in Education, Self Evaluation (Individuals), Student Behavior, Students with Disabilities
Alexander M. Rigney; Daniel D. Drevon; Michael D. Hixson – Psychology in the Schools, 2024
The authors investigated whether a functional relation exists between the mindfulness-based intervention Headspace and student attentive behavior, and the perceptions of Headspace from instructors who used the intervention. The study was conducted in three classrooms with elementary-age students. The intervention was delivered via the Headspace…
Descriptors: Elementary School Students, Attention Control, Metacognition, Self Control
Download full textLane Maxcy; Denise A. Soares; Judith Harrison – Contemporary Educational Technology, 2025
The current study evaluated the effect of technology-based self-management on disruptive behavior and academic engagement (AE) with a student with an emotional and behavioral disorder. A multiple baseline design across three general education settings was used to assess the effectiveness of the intervention, self-management using the…
Descriptors: Technology Uses in Education, Self Management, Emotional Disturbances, Behavior Disorders
