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Gillies-Walker, Lauren; Ramzan, Naeem; Rankin, Jean; Nimbley, Emy; Gillespie-Smith, Karri – Journal of Autism and Developmental Disorders, 2023
An increasing amount of technological solutions aiming to support emotion regulation are being developed for Autistic people. However, there remains a lack of understanding of user needs, and design factors which has led to poor usability and varied success. Furthermore, studies assessing the feasibility of emotion regulation technology via…
Descriptors: Autism Spectrum Disorders, Emotional Response, Self Control, Information Technology
Yimiao Yan; Yibin Zheng; Xindong Ye – Education and Information Technologies, 2025
As an effective teaching method, digital storytelling has gained significant prominence in the field of education in recent years. In contemporary digital storytelling instruction, stories are often presented through interactive whiteboards, computers, smartphones, or tablets. The introduction of immersive virtual reality (IVR) technology makes…
Descriptors: Teaching Methods, Story Telling, Electronic Learning, Self Control
Lai, Chiu-Lin; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
Researchers have pointed out the important role of self-regulation in learning. The self-regulated learning (SRL) process consists of three stages (i.e. forethought, performance, and self-reflection), each of which could involve different strategies for achieving the aim of SRL. To enable researchers and teachers to have a whole picture of how…
Descriptors: Learning Strategies, Electronic Learning, Self Management, Self Control
Moldagali, Bakytgul; Sultanova, Bibigul; Akhtayeva, Nagima; Suleimenova, Assem; Akimbekova, Shyryn – Journal of Social Studies Education Research, 2022
This study addresses the issue of integrating cutting-edge technologies into the educational process in order to enable the development of a new digital type of educational service in schools. To that end, it establishes a framework for integrating cutting-edge technology into digital learning in classrooms. The method involves diagnosing…
Descriptors: Technology Uses in Education, Educational Innovation, Digital Literacy, Technology Integration
Rashedi, Roxanne N.; Bonnet, Kemberlee; Schulte, Rebecca J.; Schlundt, David G.; Swanson, Amy R.; Kinsman, Amy; Bardett, Nicole; Juárez, Pablo; Warren, Zachary E.; Biswas, Gautam; Kunda, Maithilee – Journal of Autism and Developmental Disorders, 2022
Interest continues to be high in technology-based interventions for individuals with autism spectrum disorder (ASD). Understanding the preferences and challenges of technology use among individuals with ASD can inform the design of such interventions. Through 18 interviews with parents, we used an iterative inductive-deductive approach to…
Descriptors: Autism Spectrum Disorders, Intervention, Interpersonal Competence, Preferences
Du, Jianxia; Xu, Jianzhong; Liu, Fangtong; Huang, Bosu; Li, Zihao – Asia-Pacific Education Researcher, 2019
Emotion management is an important component under the self-regulated learning model, and teachers' emotion management plays an essential role in their technology integration into teaching practices. The current study investigated models of teachers' emotion management while learning and using information technology, using data from 866 teachers…
Descriptors: Emotional Response, Self Control, Educational Technology, Technology Uses in Education
Yen, Cherng-Jyh; Tu, Chih-Hsiung; Sujo-Montes, Laura E.; Armfield, Shadow W. J.; Chan, Junn-Yih – International Journal of Web-Based Learning and Teaching Technologies, 2013
Web 2.0 technology integration requires a higher level of self-regulated learning skills to create a Personal Learning Environment (PLE). This study examined each of the four aspects of learner self-regulation in online learning (i.e., environment structuring, goal setting, time management, & task strategies) as the predictor for level of…
Descriptors: Web 2.0 Technologies, Technology Integration, Electronic Learning, Self Control
Holland, Denise D.; Piper, Randy T. – Journal of Educational Computing Research, 2016
The technology integration education model is a 12 construct model that includes 8 primary constructs and 4 moderator constructs. By testing the relationships among two primary constructs (motivation and technological, pedagogical, and content knowledge competencies) and four moderator constructs (goals, feedback, task value, and self-regulation),…
Descriptors: Technology Integration, Preservice Teachers, Models, Objectives
Perry, David R.; Steck, Andy K. – Computers in the Schools, 2015
Teachers are increasingly integrating mobile digital technology into the classroom. The purpose of this study was to assess the effect of incorporating iPads in a secondary-level geometry course on academic achievement, student engagement, self-efficacy, and meta-cognitive self-regulation. Students in the iPad-using classroom experienced lower…
Descriptors: Educational Technology, Technology Uses in Education, Handheld Devices, Self Efficacy

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