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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
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
Cary, Mari Strand; Kennedy, Patrick C.; Shanley, Lina; Clarke, Ben – Journal of Special Education Technology, 2021
A quasi-experimental design in six kindergarten classrooms (n = 123 students) was used to study the effects of the KinderTEK iPad-based math program on the math achievement of students in general education classrooms. Student math outcomes in three treatment ("early start") classrooms were compared to math outcomes for students in three…
Descriptors: Kindergarten, Mathematics Instruction, Handheld Devices, Computer Assisted Instruction
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Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
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Soboleva, Elena V.; Zhumakulov, Khurshidzhon K.; Umurkulov, Kayumzhon P.; Ibragimov, Gasanguseyn I.; Kochneva, Lyubov V.; Timofeeva, Maria O. – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The lack of sufficiently developed methodological basis before graduation adversely affects the mathematical competency of future experts that are required by the modern economy. The study aims to investigate the features of the development of a personalized model of teaching mathematics by means of interactive novels to improve the quality of…
Descriptors: Mathematics Instruction, Teaching Methods, Novels, Mathematics Skills
Emma Watkins; Bruce Randel – Online Submission, 2024
This study examined the impact of Classworks® Individualized Learning math instruction on second-grade students performing below the 25th percentile in math. The research, conducted during the 2021-2022 school year, involved 1,367 students from 45 schools across seven districts. A quasi-experimental design compared 941 students who had any use of…
Descriptors: Individualized Instruction, Mathematics Instruction, Mathematics Achievement, Comparative Analysis
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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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Xin Wei; Jeremy Roschelle; Danae Kamdar; Tiffany Leones; Ximena Dominguez; William Corrin – Society for Research on Educational Effectiveness, 2024
Background/Context: Funders, researchers and developers share an interest in applying rapid cycle evaluation techniques in education (McNall & Foster-Fishman, 2007; Resch, 2016). Both rapid-cycle and other evaluation processes require monitoring the quality of implementation (Moir, 2018). By quickly monitoring and adjusting implementation,…
Descriptors: Elementary School Mathematics, Elementary School Students, Elementary School Teachers, Mathematics Instruction
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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
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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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Özçakir, Bilal; Özdemir, Duygu; Kiymaz, Yasemin – International Journal of Contemporary Educational Research, 2020
Gifted students have potential to improve countries and this potential can be revealed and developed in schools where they spend most of their times with other regular students. However, these classrooms have some limitations for them; hence, they need some differentiated activities. Usage of dynamic geometry in mathematics lessons could be an…
Descriptors: Geometry, Mathematics Instruction, Gifted, Teaching Methods
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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
Boatman, Angela; Kramer, Jenna W. – Center for the Analysis of Postsecondary Readiness, 2019
Innovation in instructional technology has contributed to the rapid implementation of technology-driven instructional platforms, particularly in developmental math coursework. Prior research has shown that instructional environment and classroom experience influence student development and outcomes. Consequently, when courses transition to…
Descriptors: Teaching Methods, Educational Technology, Mathematics Instruction, Computer Assisted Instruction
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Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
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