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Aydin Bulut; Mustafa Yildiz – Journal of Computer Assisted Learning, 2024
Background: The use of computer-assisted reading comprehension is of critical importance in the context of promoting effective and engaging literacy education in the digital age. It provides students with the opportunity to work at their own pace and convenience, thereby facilitating self-directed learning and accommodating various learning…
Descriptors: Computer Assisted Instruction, Direct Instruction, Reading Comprehension, Technology Uses in Education
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Smith, Sara; Carlo, María Soledad; Plaza, Ester García; Santiago, Carla Zayas; Young, Denise Jimenez – Journal of Interactive Learning Research, 2023
Research suggests that elementary English Learners (ELs) benefit from interactive dual-language vocabulary instruction delivered one-on-one or in small groups. However, there are many barriers to providing this type of instruction to all ELs, including time constraints and bilingual teacher shortages. Thus, there is a high need for innovative,…
Descriptors: Elementary School Students, English Language Learners, Grade 4, Bilingual Education
Ashley Anne Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on reading achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) to students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Individualized Instruction, Reading Achievement, Influences, Evaluation
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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared "striving learner" students who were assigned to use i-Ready Personalized Instruction (Treatment students) and "striving learner" students assigned to only receive i-Ready…
Descriptors: Mathematics Achievement, Elementary School Mathematics, Individualized Instruction, Influences
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Hover, Ashlee; Wise, Teresa – Education 3-13, 2022
An investigation of teacher and student use of digital devices and tools to inform others about ways to create twenty-first-century digital learning experiences in the classroom and at home. The researchers used a qualitative research design to elicit teacher perceptions and use of 1:1 (device to student) and 1:2 digital devices and tools through…
Descriptors: Access to Computers, Blended Learning, Electronic Learning, Computer Assisted Instruction
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Ashley A. Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on math achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) and students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Elementary School Mathematics, Mathematics Achievement, Mathematics Tests, Individualized Instruction
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Cohen, Anat; Ezra, Orit; Hershkovitz, Arnon; Tzayada, Odelia; Tabach, Michal; Levy, Ben; Segal, Avi; Gal, Kobi – Educational Technology Research and Development, 2021
Personalizing the use of educational mathematics applets to fit learners' characteristics poses a great challenge. The present study adopted a unique approach by comparing personalization processes implemented by a machine to those implemented by a human teacher. Given the different affordances--the machine's access to historical log file data,…
Descriptors: Mathematics Instruction, Comparative Analysis, Pedagogical Content Knowledge, Teaching Methods
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – International Journal of Computer-Supported Collaborative Learning, 2019
Research on Computer-Supported Collaborative Learning (CSCL) has provided significant insights into why collaborative learning is effective and how we can effectively provide support for it. Building on this knowledge, we can investigate when collaboration is beneficial to support learning. Specifically, collaborative and individual learning are…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Educational Technology, Intelligent Tutoring Systems
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Nobel, Kerstin; Grünke, Matthias – Insights into Learning Disabilities, 2020
Most students who struggle with writing have particular trouble with planning a text. They do not find themselves sufficiently able to generate content and organize the ideas they wish to address into a coherent order. STOP & LIST is a well-proven strategy that has the potential to help students mold an internal representation of the text in…
Descriptors: Writing Instruction, Computer Assisted Instruction, Writing Skills, Writing (Composition)
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
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Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
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Harding, Heather R.; Harrison-Jones, Lois; Rebach, Howard M. – Journal of Negro Education, 2012
The authors of the "No Child Left Behind Act of 2001" anticipated that a majority of school districts or schools would not be able to attain state and national achievement standards without assistance. Consequently, the Act created a major tenet known as Supplemental Educational Services (SES) programs to improve the learning outcomes of…
Descriptors: Research Design, Public Schools, Federal Legislation, Academic Achievement
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Chen, Chiu-Jung; Liu, Pei-Lin – Journal of Computers in Mathematics and Science Teaching, 2007
This study evaluated the effects of a personalized computer-assisted mathematics problem-solving program on the performance and attitude of Taiwanese fourth grade students. The purpose of this study was to determine whether the personalized computer-assisted program improved student performance and attitude over the nonpersonalized program.…
Descriptors: Program Effectiveness, Grade 4, Problem Solving, Foreign Countries