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Armiati; Fauzan, Ahmad; Harisman, Yulyanti; Sya'bani, Febrina – Journal on Mathematics Education, 2022
This study examines the development of learning designs based on Realistic Mathematics Education (RME) on the probability topic at the eighth-grade junior high school level. Probability abounds in everyday life, and the RME approach is believed to develop students' mathematical communication skills. This learning design development used the Plomp…
Descriptors: Instructional Design, Mathematics Instruction, Mathematics Education, Teaching Methods
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Lee, Hollylynne; Bradshaw, Laine; Famularo, Lisa; Masters, Jessica; Azevedo, Roger; Johnson, Sheri; Schellman, Madeline; Elrod, Emily; Sanei, Hamid – Grantee Submission, 2019
The research shared in this conference paper report illustrates how an iterative process to item development that involves expert review and cognitive lab interviews with students can be used to collect evidence of validity for assessment items. Analysis of students' reasoning was also used to expand a model for identifying conceptions and…
Descriptors: Middle School Students, Interviews, Misconceptions, Test Items
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Roscoe, Matt B. – Mathematics Teaching in the Middle School, 2016
Instead of reserving the study of probability and statistics for special fourth-year high school courses, the Common Core State Standards for Mathematics (CCSSM) takes a "statistics for all" approach. The standards recommend that students in grades 6-8 learn to summarize and describe data distributions, understand probability, draw…
Descriptors: Data Analysis, Probability, Statistics, Mathematics
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Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Massachusetts Department of Elementary and Secondary Education, 2017
This Framework builds upon the foundation of the 2010 Massachusetts Curriculum Framework for Mathematics as well as versions of the Massachusetts Mathematics Framework published since 1995. The current Framework incorporates improvements suggested by Massachusetts educators after six years of experience in implementing the 2010 standards in their…
Descriptors: Elementary School Mathematics, Middle School Mathematics, Secondary School Mathematics, Preschool Education
Borman, Geoffrey D.; Park, So Jung; Min, Sookweon – Online Submission, 2015
The purpose of this study was to evaluate the impact of Achieve3000, a differentiated online literacy curriculum, on students' scores on the California State Test (CST). In the 2011-12 school year, 1,957 students in Chula Vista began using Achieve3000's solutions in 3rd through 8th grade. Using a form of propensity score matching called Inverse…
Descriptors: Reading Programs, Program Effectiveness, Quasiexperimental Design, Elementary School Students
Rai, Dovan; Gong, Yue; Beck, Joseph E. – International Working Group on Educational Data Mining, 2009
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better understand student learning there are two problems. First, a model's ability to predict student performance is at best weakly related to the accuracy of any one of its…
Descriptors: Data Analysis, Statistical Analysis, Probability, Models
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Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
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Chow, Angela; Salmela-Aro, Katariina – International Journal of Behavioral Development, 2011
This study examined what kinds of groups can be identified according to students' task-values across four subject domains (languages, math and science, social sciences, practical subjects) and the related gender differences using a person-centered approach. Latent class analysis was applied to classify 638 students (mean age = 15) into four…
Descriptors: Females, Compulsory Education, Social Sciences, Gender Differences
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Qian, Jiahe – ETS Research Report Series, 2008
In survey research, sometimes the formation of groupings, or aggregations of cases on which to make an inference, are of importance. Of particular interest are the situations where the cases aggregated carry useful information that has been transferred from a sample employed in a previous study. For example, a school to be included in the sample…
Descriptors: Surveys, Models, High Schools, School Effectiveness
Common Core State Standards Initiative, 2011
For over a decade, research studies of mathematics education in high-performing countries have pointed to the conclusion that the mathematics curriculum in the United States must become substantially more focused and coherent in order to improve mathematics achievement in this country. To deliver on the promise of common standards, the standards…
Descriptors: Mathematics Curriculum, Mathematics Education, State Standards, Mathematics Achievement
Sloan, James E. – Center for Education Policy, Applied Research, and Evaluation, 2006
The purpose of this study was to determine what, or part of what, makes academic success probable or improbable for a student. The core research question was, Which practices, characteristics, and circumstances of students, families, schools, school districts, and communities tend to give Maine students a higher probability of meeting state…
Descriptors: Academic Achievement, Probability, Academic Standards, State Standards
Novotna, Jarmila, Ed.; Moraova, Hana, Ed.; Kratka, Magdalena, Ed.; Stehlikova, Nad'a, Ed. – International Group for the Psychology of Mathematics Education, 2006
This document contains the second volume of the proceedings of the 30th Annual Conference of the International Group for the Psychology of Mathematics Education. Conference presentations are centered around the theme "Mathematics at the Centre." This volume features 60 research reports by presenters with last names beginning between Abr…
Descriptors: Program Effectiveness, Foreign Countries, Middle Schools, Textbooks