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Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Shalom Labkovski – ProQuest LLC, 2024
In an era of heightened accountability and expanding educational technology choices, mathematics educators must critically assess the effectiveness of the tools available to them. While deciding on technological tools, it is essential that we not only promote rigor in mathematics but also ensure closing learning gaps and improve students' beliefs…
Descriptors: Mathematical Aptitude, Mastery Learning, Individual Development, Course Evaluation
Ika Qutsiati Utami; Wu-Yuin Hwang; Uun Hariyanti – Journal of Educational Computing Research, 2024
Recently, automatic question generation (AQG) has been researched extensively for educational purposes. Existing approaches generally lack relevant information on the authentic context and problem diversity with various difficulty levels, so we proposed a new AQG system for generating contextualized and personalized mathematic word problems (MWP)…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Mathematics Instruction
Philip Oreopoulos; Chloe R. Gibbs; Michael Jensen; Joseph P. Price – Annenberg Institute for School Reform at Brown University, 2024
Mastery learning -- the process by which students must demonstrate proficiency with a single topic before moving on -- is well recognized as one of the best ways to learn, yet many teachers struggle or remain unsure about how to implement it into a classroom setting. This study leverages two field experiments to test the efficacy of a program…
Descriptors: Elementary School Teachers, Middle School Teachers, Mathematics Teachers, Computer Assisted Instruction
Fatma Akcan; Esma Aybike Bayir; Betül Coban – International Journal of Modern Education Studies, 2023
This research aims to examine the impact of interactive online learning material on students' self-efficacy, prepared for achievements related to "digital rights and responsibility" in the Social Studies and Information Technologies and Software course. The study design is a quasi-experimental design with a pretest-posttest paired…
Descriptors: Foreign Countries, Secondary School Students, Grade 7, Electronic Learning
Ali Kolomuç; Mustafa Metin; Volkan Bilir – Shanlax International Journal of Education, 2024
During the COVID-19 pandemic, educators reported that the most affected group in distance education was special needs students. Educators also provided critical reports stating that special needs students miss or fail to understand activities in online education. The reason for this issue can be the lack of access to resources, the inability to…
Descriptors: Computer Assisted Instruction, Special Needs Students, Scientific Attitudes, Science Achievement
Jonathan Scrivner – ProQuest LLC, 2024
Math anxiety levels directly and negatively impact student performance in the math classroom. Educators must work to implement instructional strategies that effectively reduce math anxiety and improve student math performance. This study evaluated mastery learning interventions as an effective tool for reducing math anxiety among middle school…
Descriptors: Mathematics Anxiety, Stress Management, Middle School Students, Secondary School Mathematics
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
Schmid, Regina; Pauli, Christine; Stebler, Rita; Reusser, Kurt; Petko, Dominik – Journal of Educational Research, 2022
Digital technology especially raised hopes to open up new possibilities to personalize learning. Although various schools have implemented approaches of technology-supported personalized learning, the impact on instructional quality remains unclear. As a common definition of the multilayered construct "personalized learning" is lacking,…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Instructional Effectiveness
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
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
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
Zachary G. Johnson; David Houchins; Kris Varjas; Eli Jimenez; Tracy McKinney – Education and Treatment of Children, 2024
Students with high incidence disabilities in the public school system often perform multiple grade levels below their typically developing peers in mathematics achievement. These students exhibit lower levels of on-task behavior that limits their access to effective instruction, thus requiring instructional interventions that personalize learning,…
Descriptors: Mathematics Achievement, Blended Learning, Students with Disabilities, Intervention
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
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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