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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Exceptional Children, 2018
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion
Bottge, Brian A.; Cohen, Allan S.; Choi, Hye-Jeong – Grantee Submission, 2017
In this article, we describe results of a reanalysis of two randomized studies that tested the effects of enhanced anchored instruction (EAI) on the fractions computation performance of students in special education resource rooms and inclusive mathematics classrooms. Latent class analysis and latent transition analysis classified students…
Descriptors: Mathematics Instruction, Intervention, Resource Room Programs, Inclusion
Mechling, Linda C.; Ayres, Kevin M.; Foster, Ashley L.; Bryant, Kathryn J. – Focus on Autism and Other Developmental Disabilities, 2015
The purpose of this study was to evaluate the ability of four high school-aged students with a diagnosis of autism spectrum disorder and moderate intellectual disability to generalize performance of skills when using materials different from those presented through video models. An adapted alternating treatments design was used to evaluate student…
Descriptors: Autism, Pervasive Developmental Disorders, High School Students, Generalization
Gavish, Nirit; Gutiérrez, Teresa; Webel, Sabine; Rodríguez, Jorge; Peveri, Matteo; Bockholt, Uli; Tecchia, Franco – Interactive Learning Environments, 2015
The current study evaluated the use of virtual reality (VR) and augmented reality (AR) platforms, developed within the scope of the SKILLS Integrated Project, for industrial maintenance and assembly (IMA) tasks training. VR and AR systems are now widely regarded as promising training platforms for complex and highly demanding IMA tasks. However,…
Descriptors: Simulated Environment, Technology Uses in Education, Industry, Maintenance
Boyle, Robert W.; Farreras, Ingrid G. – International Journal of Research in Education and Science, 2015
This experiment tested the effect that calculator use had on 200 randomly assigned college students' mathematical performance. The purposes of the current experiment were twofold: to measure the level of mathematical preparation of current college students, and to test whether calculators improve mathematical performance in such students as it…
Descriptors: Calculators, Technology Uses in Education, Educational Technology, Mathematics Achievement
Lee, Hee Seung; Anderson, John R.; Berman, Susan R.; Ferris-Glick, Jennifer; Joshi, Ambarish; Nixon, Tristan; Ritter, Steve – Society for Research on Educational Effectiveness, 2013
In designing learning environments that support student learning, there are many instructional design decisions. These include when and how to provide examples, verbal explanations, feedback, and other scaffolding features. In this paper, the authors investigate instructional guidance as it relates to Cognitive Tutor, an intelligent tutoring…
Descriptors: Instructional Design, Instructional Effectiveness, Algebra, High School Students