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Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
UK Department for Education, 2022
Due to significant developments in the use of education technology (EdTech) in schools and colleges since the COVID-19 pandemic, the Department for Education (DfE) has initiated a programme of research to understand what works in EdTech to establish a strong evidence base for effective use of technology and embed this across the school system, so…
Descriptors: Educational Technology, Technology Uses in Education, Program Effectiveness, Technology Integration
Antaya, Adrien – ProQuest LLC, 2018
According to Every Student Succeeds Act of 2015 (ESSA), schools must adopt an academic and behavior intervention program in order to meet the different academic and behavioral needs of K-12 students. Educational leaders may choose to integrate Computer Based Decision Support Systems (CDSSs) into the intervention program to assist with progress…
Descriptors: Intervention, Progress Monitoring, Educational Technology, Attitudes
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Journal of Early Intervention, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Grantee Submission, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
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Jimenez, Bree A.; Mims, Pamela J.; Baker, Josh – Rural Special Education Quarterly, 2016
With the increase in the use of online professional development resources, especially for rural educators, this study evaluated the effects of online training modules on in-service teachers' ability to collect and use instructional progress monitoring data to make instructional decisions for students with significant disability (i.e., moderate to…
Descriptors: Faculty Development, Inservice Teacher Education, Disabilities, Online Courses
Jimerson, Shane R., Ed.; Burns, Matthew K., Ed.; VanDerHeyden, Amanda M., Ed. – Springer, 2016
The second edition of this essential handbook provides a comprehensive, updated overview of the science that informs best practices for the implementation of response to intervention (RTI) processes within Multi-Tiered Systems of Support (MTSS) to facilitate the academic success of all students. The volume includes insights from leading scholars…
Descriptors: Response to Intervention, Student Evaluation, Reading Skills, Writing Skills