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R. Alex Smith; Erin Smith; Madeline D. Price – Intervention in School and Clinic, 2024
Mathematical writing (MW) can support students' mathematical learning and is common in mathematics assessment. However, MW is known to be particularly challenging for students with learning disabilities. While the use of model compositions of both high- and low-quality writing and the act of revision are evidence-based practices in writing…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Writing Instruction, Students with Disabilities
Yining Wang; Kexin Han; Paul Ginns – Educational Psychology Review, 2025
Cognitive load theory's incorporation of evolutionary perspectives suggests biologically primary knowledge, acquired through evolutionary processes, can support students in learning biologically secondary knowledge, the focus of typical educational curricula. Touch-based interactions using the hands are likely to be biologically primary. The…
Descriptors: Multimedia Instruction, Multimedia Materials, Learning Processes, Difficulty Level
Michael Wang – ProQuest LLC, 2023
College algebra is regarded as a gatekeeper course for attaining degrees, higher paying jobs, and overall individual empowerment. Educational stakeholders have reconsidered alternative instructional approaches such as computer-assisted instruction (CAI) to curb high failure rates and increase retention rates among college algebra students. One…
Descriptors: College Mathematics, Mathematics Instruction, Algebra, Educational Technology
Lauren Clark – ProQuest LLC, 2024
This study examines the impact of teacher-led interventions with and without computer-assisted instruction (CAI) on student reading fluency in a Tier II Response to Intervention (RTI) framework. Utilizing archival data from the 2023-2024 school year, the research focuses on elementary students from first through fifth grade in a southeastern U.S.…
Descriptors: Reading Instruction, Reading Fluency, Computer Assisted Instruction, Response to Intervention
Kathleen A. McCaffery-Pomerleau – ProQuest LLC, 2024
The study investigated users' perspectives on My Path to Learning (MPTL), an interactive cloud technology, as a tool for differentiating instruction in phonology and spelling for K-8 students. The study aimed to enhance the digital platform by incorporating and acting upon user feedback. The researcher collected qualitative data to examine the…
Descriptors: Teacher Participation, Teacher Collaboration, Educational Technology, Technology Uses in Education
Xiaotong Yu; María Ángeles Gutiérrez-García; Roberto Soto-Varela; Melchor Gómez-García – Contemporary Educational Technology, 2025
Robotics education and robot-embedded learning have become focal points in recent interdisciplinary and innovative education. Despite the identified opportunities, there are still limitations and considerations before integrating educational robotics into foreign language education on a large scale. This survey investigates foreign language…
Descriptors: Language Teachers, Teacher Attitudes, Educational Technology, Robotics
Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology
Matthew K. Burns; McKinzie D. Duesenberg-Marshall; Monica E. Romero; Katya J. Sussman-Dawson; Emily Singell – Journal of Special Education Technology, 2025
The current study meta-analyzed 17 effects from 12 studies to examine the effect of technology-based mathematical fact practice on mathematics outcomes, and how comparison intervention, risk for mathematics disabilities, and type of measure modified the results. There was a moderate effect of technology-based mathematical fact practice on…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Risk, Disabilities
Marilyn Leask Ed.; Sarah Younie Ed. – Routledge, Taylor & Francis Group, 2024
This fully updated third edition of "Teaching and Learning with Technologies in the Primary School" introduces practising and student teachers to the range of ways in which technology can be used to support and extend teaching and learning opportunities in their classrooms. Newly expanded to include 50% brand new chapters reflecting the…
Descriptors: Educational Technology, Technology Integration, Technology Uses in Education, Elementary Education
Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
Stefano Scippo; Serena Madiai; Stefano Cuomo – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aims to assess the effectiveness of a tessellation-based instructional program supported by digital technologies for enhancing geometric learning in primary school pupils. Background: Digital education offers various benefits, including increased motivation and engagement, and has been shown to be effective in teaching…
Descriptors: Mathematics Instruction, Geometry, Computer Assisted Instruction, Elementary School Students
Robert Weinhandl; Lena Maria Kleinferchner; Carina Schobersberger; Katharina Schwarzbauer; Tony Houghton; Edith Lindenbauer; Branko Andic; Zsolt Lavicza; Markus Hohenwarter – Journal of Mathematics Teacher Education, 2025
Personas, initially originated in user experience research, are short and simplified representations of particular user groups, and this methodological approach has recently gained ground in educational research. This study aims to explore aspects of personas that may be beneficial for prospective mathematics teachers when they develop digital…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematics Instruction, Teaching Methods