Publication Date
| In 2026 | 0 |
| Since 2025 | 20 |
| Since 2022 (last 5 years) | 56 |
| Since 2017 (last 10 years) | 197 |
| Since 2007 (last 20 years) | 271 |
Descriptor
| Intervention | 276 |
| Program Effectiveness | 276 |
| Technology Uses in Education | 276 |
| Educational Technology | 193 |
| Foreign Countries | 71 |
| Teaching Methods | 66 |
| Elementary School Students | 41 |
| Handheld Devices | 41 |
| Telecommunications | 37 |
| Mathematics Instruction | 33 |
| Student Attitudes | 33 |
| More ▼ | |
Source
Author
| Bouck, Emily C. | 4 |
| Randel, Bruce | 4 |
| Coogle, Christan Grygas | 3 |
| Dart, Evan H. | 3 |
| Greenwood, Charles R. | 3 |
| Hasselbring, Ted | 3 |
| Mendiburo, Maria | 3 |
| Radley, Keith C. | 3 |
| Rahn, Naomi L. | 3 |
| Storie, Sloan | 3 |
| Barron, Kenneth E. | 2 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 2 |
| Policymakers | 1 |
| Practitioners | 1 |
Location
| United Kingdom (England) | 9 |
| Australia | 7 |
| Pennsylvania | 5 |
| Tennessee | 5 |
| Florida | 4 |
| New York | 4 |
| North Carolina | 4 |
| Turkey | 4 |
| Canada | 3 |
| China | 3 |
| India | 3 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 5 |
| Meets WWC Standards with or without Reservations | 8 |
| Does not meet standards | 2 |
Kai Zhang; Jingying Chen; ZongKai Yang – Education and Information Technologies, 2025
Over the past decade, a large number of literature reviews have explored the effectiveness of virtual reality technology as applied to children with autism spectrum disorder (ASD), but there has been a lack of scope focus on different types of virtual reality systems in assessment and intervention for children aged 3-12 years and a lack of…
Descriptors: Computer Simulation, Children, Autism Spectrum Disorders, Intervention
Borbála Bacsa-Károlyi; Máté Fridrich; Anikó Fehérvári – Journal of Digital Learning in Teacher Education, 2025
This research examines Hungarian pre-service teachers' attitudes toward gamified education (n = 29) and investigates the effects of a gamified course on these attitudes using a quasi-experimental research design. Employing a mixed-methods approach, the study gathers data through questionnaires, metaphor analysis, focus group interviews,…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Student Attitudes
Weiling Li; Aaron Butler; Amy Dray – Society for Research on Educational Effectiveness, 2023
Background/Context: Technology in education has become a vital part of modern education systems (Turugare & Rudhumbu, 2020, Osterweil et. al, 2015; Ghory & Ghafory, 2021). Over the past two decades, it has transformed the way we teach, learn, and assess knowledge (U.S. Department of Education Office of Educational Technology, 2017; Partala…
Descriptors: Educational Technology, Technology Uses in Education, Program Termination, Program Evaluation
Jessica Fitts Willoughby; Erica Weintraub Austin; Bruce W. Austin; Shawn Domgaard – Journal of American College Health, 2025
Objective: During the COVID-19 pandemic, college students were navigating confusing and often conflicting information on social media. Media literacy can help people interpret information online. We developed and tested a text-message media literacy intervention designed for college students. Participants: 267 U.S. college students from a…
Descriptors: Telecommunications, Handheld Devices, Media Literacy, Intervention
Emily M. Erb; Gabrielle T. Lee – British Journal of Special Education, 2025
Both virtual reality (VR) and augmented reality (AR) technology have shown potential for the instruction of people on the autism spectrum by simulating real-world experiences in a safe and controlled environment. However, numerous reports indicate that this type of research has included few participants with intellectual disability (ID). The…
Descriptors: Computer Simulation, Technology Uses in Education, Autism Spectrum Disorders, Intellectual Disability
So Yeon Kim; Rose A. Mason; Mandy Rispoli; John L. Davis; Catharine Lory; Emily Gregori; Carly A. Roberts; Denise Whitford; Danni Wang – Focus on Autism and Other Developmental Disabilities, 2025
Despite the wide usage of technology in educational settings, the overall evidence base of technology-aided reading interventions for students with autism spectrum disorder (ASD) has not been fully investigated. The purpose of this meta-analysis was to quantify the effects of technology-aided reading interventions for students with ASD and…
Descriptors: Educational Technology, Technology Uses in Education, Educational Research, Reading Instruction
Peidi Gu; Fang Xu; Lingwei Chen; Zijie Ma; Madian Zhang; Yi Zhang – Education and Information Technologies, 2025
Conversational skills, which are essential for effective social interactions and typically pose difficulties for individuals with autism spectrum disorder (ASD), include abilities such as initiating topics, engaging in back-and-forth dialog, and responding to conversational cues. Chatbots have been used in mental health fields, and the development…
Descriptors: Technology Uses in Education, Artificial Intelligence, Interpersonal Communication, Communication Skills
Samantha Flynn; Paul A. Thompson; Louise Denne; Rebecca Morris; Emily J. Roberts-Tyler; Corinna F. Grindle; Claire McDowell; J. Carl Hughes; Richard P. Hastings – Journal of Research in Special Educational Needs, 2025
Children with intellectual disabilities often find acquiring age-appropriate reading skills difficult. We evaluated the impact of a structured online reading intervention on the reading skills of children aged 5-11 years in special educational needs (SEN) schools in England. A two-armed cluster randomised controlled trial (cRCT) compared…
Descriptors: Students with Disabilities, Intellectual Disability, Reading Skills, Reading Instruction
Mingyu Feng; Natalie Brezack; Chunwei Huang; Kelly Collins – British Journal of Educational Technology, 2025
In this study, we examined the long-term effects of ASSISTments, an educational technology platform that enables formative assessment. The intervention was implemented in schools in one U.S. state for 12-13-year-old students (7th grade). Students' math achievement was measured at the end of the following school year (8th grade, ages 13-14 years),…
Descriptors: Educational Technology, Technology Uses in Education, Formative Evaluation, Grade 7
Sergio Cored-Bandrés; Marta Liesa-Orús; Sandra Vázquez-Toledo – Journal of Special Education Technology, 2025
The generalisation of learning is one of the main elements to take into account when carrying out an educational intervention. This process involves certain difficulties for the population with Autism Spectrum Disorder (ASD). In this sense, the aim of the present study is to evaluate the process of generalisation of skills related to the social…
Descriptors: Generalization, Students with Disabilities, Autism Spectrum Disorders, Intervention
Allison Gallegos-Jeffrey; Chelsea Barth; Sierra Smith; Taylor McDowell; Tyler Janzen; Joe Smyser; Erika Bonnevie – Journal of American College Health, 2025
Objective: This study evaluates Drunken Rewind, an animated digital media campaign designed to reduce binge drinking. Participants: The campaign was targeted to white males aged 18-34, who are at the highest risk of binge drinking. Methods: The intervention consisted of an animated series that merged health communications approaches with marketing…
Descriptors: Alcohol Abuse, Drinking, Males, Whites
Lama Bergstrand Othman – Journal of Educational Research and Practice, 2025
Research has established that the proper use of technology in the classroom can promote and improve students' skill levels and knowledge base. Also, certain factors either enhance or impede the successful integration of technology in students' learning environments. Examples of these are efficiency of use, subject area, and teacher knowledge of…
Descriptors: Technology Uses in Education, Educational Technology, Literacy Education, Teacher Role
Isabelle Préfontaine; Marc J. Lanovaz; Mélina Rivard – Journal of Autism and Developmental Disorders, 2024
Although early behavioral intervention is considered as empirically-supported for children with autism, estimating treatment prognosis is a challenge for practitioners. One potential solution is to use machine learning to guide the prediction of the response to intervention. Thus, our study compared five machine algorithms in estimating treatment…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Behavior Modification, Intervention
Biedermann, Daniel; Schneider, Jan; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2021
Digital distractions can interfere with goal attainment and lead to undesirable habits that are hard to get red rid of. Various digital self-control interventions promise support to alleviate the negative impact of digital distractions. These interventions use different approaches, such as the blocking of apps and websites, goal setting, or…
Descriptors: Self Control, Intervention, Technology Uses in Education, Literature Reviews
Merve Kasim; Yasemin Deringöl – Education and Information Technologies, 2025
The aim of this study is to investigate the impact of technology-supported mathematical modeling method on the mathematical skills of a fourth-grade student with Mathematical Learning Disabilities. The study group consists of a fourth-grade student. It was discovered that the student lacked numerical and logical skills compared to other students.…
Descriptors: Educational Technology, Technology Uses in Education, Grade 4, Mathematics Instruction

Peer reviewed
Direct link
