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No Child Left Behind Act 20011
Showing 1 to 15 of 118 results Save | Export
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Becky Moss; Jane Marshall; Celia Woolf; Katerina Hilari – International Journal of Language & Communication Disorders, 2024
Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now…
Descriptors: Writing (Composition), Writing Instruction, Intervention, Assistive Technology
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Fernando López-Calatayud; Jesús Tejada – Research Studies in Music Education, 2024
Self-regulation strategies and behaviors are important aspects of instrumental music learning because they allow students to set learning goals by testing and controlling their cognition, motivation, behaviors, and emotions. This work investigates the self-regulation processes of four young instrumentalists (aged 10-11 years) in their initial…
Descriptors: Metacognition, Music Education, Learning Motivation, Musical Instruments
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
Julie Eberhard Smith – ProQuest LLC, 2024
This study investigated the effect a computer intervention program has on student proficiency in the Algebra 1 End of Course (EOC) examination. This study utilized the intervention math program IXL Math, a computerized program that targets individual students' skill practice and supports students' need to accelerate mastery of Algebra 1 skills in…
Descriptors: High School Students, Mathematics Instruction, Algebra, Intervention
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Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
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Yuwono, Imam; Kusumastuti, Dewi Ekasari; Suherman, Yuyus; Zainudin; Dhafiya, Farah; Rahmatika, Puteri – Pegem Journal of Education and Instruction, 2023
This study aims to analyse the learning needs of college students with special needs, develop a Universal Design for Learning based learning application named AJAR MBK, and assess the efficiency of the AJAR MBK application. It used a research and development model adapted from the ADDIE (analysis, design, development, implementation, and…
Descriptors: Special Needs Students, Access to Education, Autism Spectrum Disorders, Material Development
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Neumann, Michelle M.; Wang, Yuping; Qi, Grace Yue; Neumann, David L. – Journal of Interactive Learning Research, 2019
Touch screen tablets such as iPads are becoming increasingly popular as educational tools to support children's first language learning in pre-schools. Apps can also be used to support early learning of a second language in English-speaking countries. However, little work has been done to evaluate these apps. The present research developed…
Descriptors: Mandarin Chinese, Cultural Awareness, Computer Software, Second Language Learning
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Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
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Haya Shamir; Erik Yoder; David Pocklington – Online Submission, 2023
Identifying effective means of ameliorating achievement gaps and addressing literacy deficits is essential. Computer-assisted instruction (CAI) is one avenue for providing this effective instruction to the students that can most benefit from it. In the current study, kindergarten students in a public school district in Illinois received…
Descriptors: Teaching Methods, Literacy Education, Computer Assisted Instruction, Achievement Gap
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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
Hartvigsen, Teresa; Durfee, Melanie; Call, Todd; Throndsen, Jennifer – Utah State Board of Education, 2021
The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…
Descriptors: Elementary School Students, Primary Education, Reading Instruction, Computer Assisted Instruction
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Dutta, Rubina; Mantri, Archana; Singh, Gurjinder – Smart Learning Environments, 2022
The education system evolves and transforms towards interactive and immersive learning tools in this digital age. Augmented reality has also evolved as a ubiquitous, robust, and effective technology for providing innovative educational tools. In engineering education, many abstract concepts require technological intervention for conceptual…
Descriptors: Usability, Computer Simulation, Engineering Education, Intervention
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Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
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Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Schumaker, Jean B. – Journal of Special Education Technology, 2022
The purpose of this study was to determine whether struggling adolescent writers could learn sentence and paragraph writing skills from a software program. Nine junior-high and nine senior-high struggling writers participated in a multiple-probe across-students design that was replicated six times. Instructional procedures within the software…
Descriptors: Computer Assisted Instruction, Writing Instruction, Instructional Effectiveness, Computer Software
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