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Malena Manchado Porras; Inmaculada Menacho Jiménez; Jose Carlos Piñero-Charlo; María del Carmen Canto-López – European Journal of Science and Mathematics Education, 2023
Currently mathematics difficulties in schools are a major problem due to several factors. Some research suggest that mathematics teaching-learning methodology could be one of the causes. As a result, alternative teaching methods to the traditional approach (ciphers-based closed algorithm [CBC]) have emerged, such as numbers-based open algorithm…
Descriptors: Mathematics Instruction, Computation, Teaching Methods, Eye Movements
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
Chou, Pao-Nan – SAGE Open, 2022
This study investigated the effects of Plickers use on rural students' learning outcomes through two case scenarios. In the first case scenario, the study adopted a preexperimental study method with a focus on comparing Plickers with traditional testing to examine rural students' learning attitudes toward Plickers. The participants were 24…
Descriptors: Rural Schools, Program Effectiveness, Elementary School Students, Mathematics Instruction
Johnson, Kristin N.; Thompson, Kenneth L.; Farmer, Ryan L. – Canadian Journal of School Psychology, 2020
Repeated measurements of student ability (i.e., progressing monitoring) is an essential element of informed decision-making when adjusting instruction. An important characteristic of progress monitoring measures is frequent administration to identify areas of concern and to evaluate academic growth. The purpose of this study was to determine if…
Descriptors: Progress Monitoring, Mathematics Instruction, Grade 5, Elementary School Students
Suter, Jayna – ProQuest LLC, 2018
The purpose of this quantitative correlational study was to ascertain the degree to which a relationship exists between teacher-reported technology integration in the classroom and student math achievement of classrooms containing third through fifth grade students in one Southern California school district, as measured by a standardized…
Descriptors: Technology Integration, Correlation, Mathematics Achievement, Achievement Tests
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
Wu, Huey-Min – Educational Psychology, 2019
Based on a cognitive diagnostic model, an online individualised tutor program was developed in this study. An experiment was conducted in practical educational settings exploring the effectiveness of the online individualised tutor remedial program based on the diagnostic reports of the cognitive diagnostic model. The methodology of this study was…
Descriptors: Mathematics Instruction, Intelligent Tutoring Systems, Instructional Effectiveness, Teaching Methods
Wu, Huey-Min; Kuo, Bor-Chen; Wang, Su-Chen – Educational Technology & Society, 2017
In this study, a computerized dynamic assessment test with both immediately individualized feedback and adaptively property was applied to Mathematics learning in primary school. For evaluating the effectiveness of the computerized dynamic adaptive test, the performances of three types of remedial instructions were compared by a pre-test/post-test…
Descriptors: Adaptive Testing, Feedback (Response), Elementary School Mathematics, Foreign Countries
Randel, Bruce; Swain, Matthew; Norman Dvorak, Rebecca; Spratto, Elisabeth; Prendez, Jordan Yee – Online Submission, 2020
Curriculum Associates' "i-Ready® Personalized Instruction" ("i-Ready") is a supplemental, online personalized instruction program available for mathematics and reading. Prior research has indicated "i-Ready" has a positive impact on student achievement for students overall (e.g., Swain, Randel, & Norman Dvorak,…
Descriptors: Program Effectiveness, Grade 2, Grade 3, Grade 4
Nelson, Peter M.; Parker, David C.; Zaslofsky, Anne F. – Assessment for Effective Intervention, 2016
The purpose of the current study was to evaluate the importance of growth in math fact skills within the context of overall math proficiency. Data for 1,493 elementary and middle school students were included for analysis. Regression models were fit to examine the relative value of math fact fluency growth, prior state test performance, and a fall…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Skills, Mathematics Achievement
Koedinger, Kenneth R.; McLaughlin, Elizabeth A.; Heffernan, Neil T. – Grantee Submission, 2010
ASSISTments is a web-based math tutor designed to address the need for timely student assessment while simultaneously providing instruction, thereby avoiding lost instruction time that typically occurs during assessment. This article presents a quasi-experiment that evaluates whether ASSISTments use has an effect on improving middle school…
Descriptors: Feedback (Response), Middle School Students, Formative Evaluation, Grade 7
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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