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What Works Clearinghouse Rating
Peter Rowlett; Chris Graham; Christian Lawson-Perfect – International Journal of Mathematical Education in Science and Technology, 2025
Partially automated assessment is implemented via the 'Printable worksheet' mode in the Numbas e-assessment system to create a mathematical modelling worksheet which is individualised with random parameters but completed and marked as if it were a non-automated piece of coursework, preserving validity while reducing the risk of academic misconduct…
Descriptors: Automation, Worksheets, Mathematical Models, Computer Assisted Testing
Daniel Kasper; Katrin Schulz-Heidorf; Knut Schwippert – Sociological Methods & Research, 2024
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…
Descriptors: Models, Achievement Tests, Foreign Countries, International Assessment
Ozkale, Abdullah; Erdogan, Emel Ozdemir – International Journal of Progressive Education, 2020
The concept of financial literacy, which has become popular as a 21st-century skill, is also a new field for mathematics education. Financial literacy, which has taken place in PISA [Program for International Student Assessment] since 2012, has not only been presented as a separate course and has also increased in density in related courses such…
Descriptors: Money Management, Mathematics Education, Models, Achievement Tests
Ketterlin-Geller, Leanne R.; Perry, Lindsey; Adams, Elizabeth – Applied Measurement in Education, 2019
Despite the call for an argument-based approach to validity over 25 years ago, few examples exist in the published literature. One possible explanation for this outcome is that the complexity of the argument-based approach makes implementation difficult. To counter this claim, we propose that the Assessment Triangle can serve as the overarching…
Descriptors: Validity, Educational Assessment, Models, Screening Tests
Moloi, Meshack; Kanjee, Anil – Pythagoras, 2018
In this article we propose a framework for reporting mathematics results from national assessment surveys (NAS) such that effective use of the resulting reports can enhance teaching and learning. We explored literature on factors that may contribute to non-utilisation of assessment data as a basis for decision-making. In the context of South…
Descriptors: Scores, Mathematics Instruction, Mathematics Tests, Foreign Countries
M. Earnest Morrow; Dabae Lee – International Journal of Designs for Learning, 2019
Educators are being encouraged to shift their instructional paradigm from teacher-centered to learner-centered through the use of technology. For online courses, legacy learning management products originally designed to support and deliver teacher-centered instruction may represent a constraint to implementing the learner-centered paradigm. Yet,…
Descriptors: Statistics, Online Courses, Teaching Methods, Student Centered Learning
Rohde Poole, S. B. – PRIMUS, 2022
This paper is written to provide ideas and guide faculty who want to design a mathematical modeling course for undergraduate mathematics majors and minors. We discuss course goals, assignments, and projects that can be used to help students gain experience relevant for careers and mathematical modeling opportunities. The authors designed this…
Descriptors: Undergraduate Students, Mathematics Instruction, Majors (Students), Mathematical Models
Brijmohan, Amanda; Khan, Gulam A.; Orpwood, Graham; Brown, Emily Sandford; Childs, Ruth A. – Canadian Journal of Education, 2018
Developing a new assessment requires the expertise of both content experts and assessment specialists. Using the example of an assessment developed for Ontario's Colleges Mathematics Assessment Program (CMAP), this article (1) describes the decisions that must be made in developing a new assessment, (2) explores the complementary contributions of…
Descriptors: Expertise, Mathematics Instruction, College Mathematics, College Students
Bieda, Kristen N.; Visnawathan, Aditya; McCrory, Raven; Sikorskii, Pavel – PRIMUS, 2020
Preparing students placing into developmental mathematics for success in undergraduate mathematics and preparing future teachers for the increasing demands of K-12 school settings are both persistent, yet seemingly divergent, problems facing higher education. In this paper, we shed light on a model that attempts to address aspects of each problem…
Descriptors: Models, Remedial Instruction, Mathematics Instruction, Mathematics Teachers
Arenson, Ethan A.; Karabatsos, George – Grantee Submission, 2017
Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative distribution function, which are strictly monotone functions of person test ability. Such assumptions can be overly-restrictive for real item response data. We propose a simple and more flexible Bayesian nonparametric IRT model…
Descriptors: Bayesian Statistics, Item Response Theory, Nonparametric Statistics, Models
Falk, Carl F.; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2015
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Guessing (Tests), Item Response Theory, Mathematics Instruction, Mathematics Tests
Randall, Jennifer; Cheong, Yuk Fai; Engelhard, George, Jr. – Educational and Psychological Measurement, 2011
To address whether or not modifications in test administration influence item functioning for students with disabilities on a high-stakes statewide problem-solving assessment, a sample of 868 students (with and without disabilities) from 74 Georgia schools were randomly assigned to one of three testing conditions (resource guide, calculator, or…
Descriptors: Item Response Theory, Models, Context Effect, Test Bias
Ketterlin-Geller, Leanne R.; Yovanoff, Paul; Jung, EunJu; Liu, Kimy; Geller, Josh – Educational Assessment, 2013
In this article, we highlight the need for a precisely defined construct in score-based validation and discuss the contribution of cognitive theories to accurately and comprehensively defining the construct. We propose a framework for integrating cognitively based theoretical and empirical evidence to specify and evaluate the construct. We apply…
Descriptors: Test Validity, Construct Validity, Scores, Evidence
Jack, Brady Michael; Hung, Kuan-Ming; Liu, Chia Ju; Chiu, Houn Lin – Online Submission, 2009
This paper introduces a utilitarian confidence testing statistic called Risk Inclination Model (RIM) which indexes all possible confidence wagering combinations within the confines of a defined symmetrically point-balanced test environment. This paper presents the theoretical underpinnings, a formal derivation, a hypothetical application, and…
Descriptors: Confidence Testing, Models, Knowledge Level, Risk
National Assessment Governing Board, 2012
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: Academic Achievement, Mathematics Achievement, National Competency Tests, Grade 4
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