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Fabian Gunnars – Journal of Special Education Technology, 2024
Digital technology in primary education can both be distracting and increase attentiveness. Many students with Special Educational Needs (SEN) have difficulties with skills that address attention, and teachers are expected to provide support. Such skills are referred to as Executive Function (EF) in neuroscience, relating to self-regulation,…
Descriptors: Educational Technology, Attention, Executive Function, Self Control
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Kearney, Kelly B.; Pistorio, Kalynn Hall – Journal of Special Education Technology, 2023
Literacy based behavioral interventions (LBBIs) have been used to teach numerous skills, such as requesting an accommodation, engaging in self-regulation, and remaining on-task, to children and adolescents. Electronic-LBBIs (E-LBBIs) have recently emerged in the literature as an effective strategy, using preferred forms of media (tablet or…
Descriptors: Intervention, Literacy, Behavior Modification, Electronic Learning
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Carlson, Alex; Hirsch, Shanna E.; Walters, Sharon; Pilot, Emily; Herro, Danielle – Journal of Special Education Technology, 2023
Over the past decade, schools have adopted videos as a medium to augment positive behavior interventions and support (PBIS) programming. This approach engages various stakeholders in the development and use of PBIS videos. Subsequently, most PBIS videos are created based on existing school data (e.g., office discipline referrals) and expectation…
Descriptors: Positive Behavior Supports, Intervention, Video Technology, Material Development
Gretchen Scheibel; Kathleen N. Zimmerman; Howard P. Wills – Journal of Special Education Technology, 2023
Self-monitoring is a promising evidence-based intervention for students who benefit from supplemental supports to stay on-task during academic periods. I-Connect, a technology-based self-monitoring intervention with a substantial body of research, allows students to discretely recognize and record their behavior on a mobile or desktop app at…
Descriptors: Time on Task, Self Management, Educational Technology, Student Behavior
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Riden, Benjamin S.; Taylor, Jonté C.; Scheeler, Mary Catherine; Lee, David L.; McCloskey, Andrea V. – Journal of Special Education Technology, 2021
An ABAB reversal design was utilized to examine the effects of an electronic daily behavior report card (eDBRC) on non-compliant, off-task, and disruptive classroom behaviors of a 16-year-old with autism spectrum disorder and a 17-year-old with an intellectual disability. The intervention was implemented by two preservice teachers…
Descriptors: Behavior Problems, Students with Disabilities, Autism, Pervasive Developmental Disorders
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LeJeune, Lauren M.; Samudre, Mark D.; Whitaker, Stacey C.; Bailey, Creiana – Journal of Special Education Technology, 2022
There is a need to adapt research-based behavior management interventions so they have utility for virtual instruction. In this study, we investigated whether Class-Wide Function-Related Intervention Teams (CW-FIT) would increase group engagement for a first-grade inclusive class during virtual reading instruction. Results of the single case ABAB…
Descriptors: Learner Engagement, Grade 1, Reading Instruction, Electronic Learning
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Sadler, Kate M. – Journal of Special Education Technology, 2019
Research suggests that individuals with autism spectrum disorder (ASD) are at risk of exhibiting aggressive behaviors due to deficits in social communication and restricted and repetitive interests. Individuals with greater symptom severity and/or low cognitive abilities are at the greatest risk of developing aggressive behaviors that tend to be…
Descriptors: Video Technology, Modeling (Psychology), Aggression, Autism
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Speight, Renee; Kucharczyk, Suzanne – Journal of Special Education Technology, 2021
High-levels of classroom engagement and on-task behavior have been linked to positive outcomes for students. In traditional classroom settings when levels of on-task behaviors are low, teacher integration of Positive Behavior Interventions and Supports (PBIS) can facilitate improvement in student engagement. PBIS strategies such as creating clear…
Descriptors: Learner Engagement, Behavior Modification, Positive Behavior Supports, Students with Disabilities
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Hott, Brittany; Randolph, Kathleen M.; Josephson, Janet; Heiniger, Sarah – Journal of Special Education Technology, 2021
The purpose of this study was to explore the efficacy of an electronic check-in, check-out (eCICO) intervention. The district's case manager (i.e., guidance counselor) implemented the eCICO intervention remotely via FaceTime on an iPad in collaboration with the bus driver who facilitated student wireless internet access to a mobile hot spot.…
Descriptors: Intervention, School Buses, Student Transportation, Program Effectiveness
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Larson, Kristine E.; Hirsch, Shanna E.; McGraw, Jillian P.; Bradshaw, Catherine P. – Journal of Special Education Technology, 2020
Given the high percentage of new teachers who struggle with classroom management, preservice educators need more opportunities to develop their skills in managing challenging student behaviors prior to entering the classroom. There is growing interest in using mixed-reality simulators to provide educators opportunities to receive guided practice…
Descriptors: Preservice Teacher Education, Preservice Teachers, Behavior Problems, Behavior Modification
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Muharib, Reem; Correa, Vivian I.; Wood, Charles L.; Haughney, Kathryn L. – Journal of Special Education Technology, 2019
This study investigated the effects of a functional communication training intervention consisting of systematic prompting and natural reinforcement on the challenging behaviors of two children with autism spectrum disorder aged 5 and 6 years old. Children who had a history of challenging behavior, consisting of self-injury and disruption, were…
Descriptors: Autism, Pervasive Developmental Disorders, Handheld Devices, Telecommunications
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Kumm, Skip; Talbott, Elizabeth; Jolivette, Kristine – Journal of Special Education Technology, 2021
Secondary students with high incidence disabilities who also display disruptive behaviors struggle to be successful in general education settings. As a result, general education teachers are looking for ways to utilize technology to provide them with opportunities to implement evidence-based interventions in their classrooms. In this study,…
Descriptors: Students with Disabilities, Self Management, Intervention, Educational Technology
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Esposito, Marco; Sloan, Janette; Tancredi, Andrea; Gerardi, Giovanna; Postiglione, Paola; Fotia, Francesca; Napoli, Eleonora; Mazzone, Luigi; Valeri, Giovanni; Vicari, Stefano – Journal of Special Education Technology, 2017
Several researchers along with technicians have been developing software and hardware to support and/or replace the standard method of teaching for children with autism spectrum disorders (ASDs) and/or other developmental disabilities. Moreover, computer-based intervention and electronic tablets have shown benefits for people with special needs…
Descriptors: Autism, Pervasive Developmental Disorders, Thinking Skills, Interpersonal Competence
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Cardinal, Jennifer R.; Gabrielsen, Terisa P.; Young, Ellie L.; Hansen, Blake D.; Kellems, Ryan; Hoch, Hannah; Nicksic-Springer, Taryn; Knorr, James – Journal of Special Education Technology, 2017
Delivering individualized learning interventions to students with autism spectrum disorder (ASD) is daunting for education professionals already stretched to capacity meeting needs of all of their students. Paraprofessionals (paraeducators) can assume integral roles in classroom support and management, but they may not be consistently trained in…
Descriptors: Autism, Pervasive Developmental Disorders, Teaching Methods, Mild Intellectual Disability
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Rotatori, Anthony F.; And Others – Journal of Special Education Technology, 1980
A behavioral weight reduction treatment and maintenance program for moderately mentally retarded adolescents which involves six phases from background information collection to followup relies on stimulus control procedures to modify eating behaviors. Data from pilot studies show an average weekly weight loss of .5 to 1 pound per S. (CL)
Descriptors: Adolescents, Behavior Change, Behavior Modification, Eating Habits
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