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Collier, Zachary K.; Zhang, Haobai; Liu, Liu – Practical Assessment, Research & Evaluation, 2022
Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…
Descriptors: Artificial Intelligence, Probability, Scores, Educational Research
Sharma, Sashi; Sharma, Shweta; Doyle, Phil; Marcelo, Louis; Kumar, Daniel – Teachers and Curriculum, 2021
Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…
Descriptors: Statistics Education, Probability, Educational Games, Learning Activities
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
Pan, Tianshu; Yin, Yue – Applied Measurement in Education, 2017
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach,…
Descriptors: Bayesian Statistics, Goodness of Fit, Item Response Theory, Monte Carlo Methods
Lee, Moosung; Ju, Eunsu – Social Psychology of Education: An International Journal, 2016
Reflecting on the fast-growing number of adolescents involved in part-time work in South Korea, we pay special attention to the effects of part-time work on school disengagement in this age group. While research on this issue in Korea is still scarce, a handful of existing studies have documented the undesirable effects of part-time work on…
Descriptors: Foreign Countries, Part Time Employment, Learner Engagement, Education Work Relationship
School Gardening with a Twist Using Fish: Encouraging Educators to Adopt Aquaponics in the Classroom
Clayborn, Jaeson; Medina, Miles; O'Brien, George – Applied Environmental Education and Communication, 2017
To evaluate the willingness of teachers to incorporate aquaponics in the classroom, we engaged teachers in a 6-week project. Participants in the experimental group maintained small-scale aquaponic systems. All teachers completed pretests and posttests, and exit surveys. Both groups (experimental and control) scored significantly higher on the…
Descriptors: Gardening, Water, Teaching Methods, Teacher Attitudes
Fu, Jianbin; Zapata, Diego; Mavronikolas, Elia – ETS Research Report Series, 2014
Simulation or game-based assessments produce outcome data and process data. In this article, some statistical models that can potentially be used to analyze data from simulation or game-based assessments are introduced. Specifically, cognitive diagnostic models that can be used to estimate latent skills from outcome data so as to scale these…
Descriptors: Simulation, Evaluation Methods, Games, Data Collection
National Assessment Governing Board, 2017
The National Assessment of Educational Progress (NAEP) is the only continuing and nationally representative measure of trends in academic achievement of U.S. elementary and secondary school students in various subjects. For more than four decades, NAEP assessments have been conducted periodically in reading, mathematics, science, writing, U.S.…
Descriptors: Mathematics Achievement, Multiple Choice Tests, National Competency Tests, Educational Trends
Montt, Guillermo – Comparative Education Review, 2016
Socioeconomic integration in schools has been shown to bring positive academic and nonacademic outcomes to disadvantaged students attending them. The academic benefits of integration on advantaged students are, by contrast, less evident. Effective integrated schools are those that promote disadvantaged students' outcomes yet advantaged students do…
Descriptors: Socioeconomic Status, Social Integration, Advantaged, Economically Disadvantaged
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
Dunst, Carl J.; Hamby, Deborah W. – Journal of Intellectual & Developmental Disability, 2012
This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…
Descriptors: Intervals, Developmental Disabilities, Statistical Significance, Effect Size
Anderson, Lezley Barker – ProQuest LLC, 2013
The purpose of this causal-comparative study was to examine whether differences exist in the mathematics achievement of fifth grade gifted students based on the instructional delivery model used for mathematics instruction, cluster or collaborative, as defined by the Georgia Department of Education. The content area of mathematics, an area…
Descriptors: Comparative Analysis, Grade 5, Elementary School Students, Academically Gifted
Attewell, Paul; Domina, Thurston – Educational Evaluation and Policy Analysis, 2008
Using national transcript data, the authors examine inequality in access to an advanced curriculum in high school and assess the consequences of curricular intensity on test scores and college entry. Inequalities in curricular intensity are primarily explained by student socioeconomic status effects that operate within schools rather than between…
Descriptors: Academic Achievement, Effect Size, Probability, Advanced Courses
National Center for Education Statistics, 2011
This report presents results of the 2011 National Assessment of Educational Progress (NAEP) in mathematics at grades 4 and 8. Nationally representative samples of 209,000 fourth-graders and 175,200 eighth-graders participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics. At each grade, students responded to…
Descriptors: National Competency Tests, Data Analysis, Grade 4, Probability
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