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Matthew J. Madison; Stefanie Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
Powell, Sarah R.; Namkung, Jessica M.; Lin, Xin – Grantee Submission, 2022
In mathematics, the keyword strategy involves identifying a keyword (e.g., "altogether") and using that keyword to determine the operation needed to find a word problem's solution. We analyzed 747 high-stakes released items across Grades 3, 4, 5, 6, 7, and 8 from the Partnership for Assessment for Readiness for College and Careers and…
Descriptors: Information Retrieval, Problem Solving, Classification, High Stakes Tests
Enemy, William G.; Hartwig, Marissa K.; Rohrer, Doug – Grantee Submission, 2021
The practice assignments in a mathematics textbook or course can be arranged so that most of the problems relating to any particular concept are massed together in a single assignment, or these related problems can be distributed across many assignments -- a format known as spaced practice. Here we report the results of two classroom experiments…
Descriptors: Mathematics Instruction, Assignments, Scores, Mathematics Tests
Christian T. Doabler; Ben Clarke; Jessica E. Turtura; Marah Sutherland; Jenna A. Gersib; Taylor Lesner; Madison Cook; Georgia L. Kimmel; Keith Smolkowski; Derek Kosty – Grantee Submission, 2023
Conceptual replications are part and parcel of education science. Methodologically rigorous conceptual replication studies permit researchers to test and strengthen the generalizability of a study's initial findings. The current conceptual replication sought to replicate the efficacy of a small-group, first-grade mathematics intervention with 240…
Descriptors: Number Concepts, Mathematics Instruction, Grade 1, Elementary School Students
Jessica Turtura; Marah Sutherland; Derek Kosty; Christian T. Doabler; Cayla Lussier; Ben Clarke – Grantee Submission, 2024
Effective classroom management is critical to supporting student learning and success in school. However, little research has focused specifically on the impact of classroom management on student mathematics achievement, especially in the early elementary grades or in a small group (i.e., Tier 2) context. To address this need we investigated the…
Descriptors: Kindergarten, Mathematics Instruction, Intervention, Classroom Techniques
Rohrer, Doug; Dedrick, Robert F.; Hartwig, Marissa K. – Grantee Submission, 2020
A typical mathematics assignment consists of a block of problems devoted to the same topic, yet several classroom-based randomized controlled trials have found that students obtain higher test scores when most practice problems are mixed with different kinds of problems -- a format known as interleaved practice. Interleaving prevents students from…
Descriptors: Mathematics Education, Problem Solving, Mathematics Tests, Assignments
Clarissa A. Thompson; Pooja G. Sidney; Charles J. Fitzsimmons; Marta Mielicki; Lauren Schiller; Daniel A. Scheibe; John E. Opfer; Robert S. Siegler – Grantee Submission, 2022
In the target article, Xing and colleagues (2021) claimed that 6- to 8-year-olds who spontaneously referenced the midpoint of 0-100 number lines made more accurate magnitude estimates and scored higher on a standardized math achievement test than other children. Unlike previous studies, however, the authors found no relation between accuracy on…
Descriptors: Mathematics Skills, Young Children, Number Concepts, Accuracy
Burhan Ogut; Blue Webb; Juanita Hicks; Ruhan Circi; Michelle Yin – Grantee Submission, 2024
In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our…
Descriptors: Mathematics Skills, Problem Solving, Learning Analytics, Algebra
Daniel Katz; Anne Corinne Huggins-Manley; Walter Leite – Grantee Submission, 2022
According to the Standards for Educational and Psychological Testing (2014), one aspect of test fairness concerns examinees having comparable opportunities to learn prior to taking tests. Meanwhile, many researchers are developing platforms enhanced by artificial intelligence (AI) that can personalize curriculum to individual student needs. This…
Descriptors: High Stakes Tests, Test Bias, Testing Problems, Prior Learning
Martha L. Esptein; Hamza Malik; Kun Wang; Chandra H. Orrill – Grantee Submission, 2023
It is essential for items in assessments of mathematics' teacher knowledge to evoke the desired response processes -- to be interpreted and responded to by teachers as intended by item developers. In this study, we sought to unpack evidence that middle school mathematics teachers were not consistently interacting as intended with constructed…
Descriptors: Pedagogical Content Knowledge, Mathematics Teachers, Mathematics Instruction, Protocol Analysis

Sami Baral; Li Lucy; Ryan Knight; Alice Ng; Luca Soldaini; Neil T. Heffernan; Kyle Lo – Grantee Submission, 2024
In real-world settings, vision language models (VLMs) should robustly handle naturalistic, noisy visual content as well as domain-specific language and concepts. For example, K-12 educators using digital learning platforms may need to examine and provide feedback across many images of students' math work. To assess the potential of VLMs to support…
Descriptors: Visual Learning, Visual Perception, Natural Language Processing, Freehand Drawing
Rohrer, Doug; Hartwig, Marissa K. – Grantee Submission, 2020
A typical mathematics assignment consists of one or two dozen practice problems relating to the same skill or concept, yet empirical evidence suggests that there is little or no long-term benefit from working more than a few problems of the same kind in immediate succession. Alternatively, randomized experiments in the laboratory and classroom…
Descriptors: Assignments, Intervals, Problem Solving, Mathematics Tests
Teresa M. Ober; Alex S. Brodersen; Daniella Rebouças-Ju; Maxwell R. Hong; Matthew F. Carter; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was…
Descriptors: High School Students, Student Attitudes, Mathematics, Statistics Education
Sutherland, Marah; Clarke, Ben; Nese, Joseph F. T.; Cary, Mari Strand; Shanley, Lina; Furjanic, David; Durán, Lillian – Grantee Submission, 2020
Drawing from the developmental and cognitive mathematics literature, the purpose of this study was to investigate the reliability, validity, and diagnostic utility of a widely-researched number line task in kindergarten. Specifically, the Number Line Assessment 0-100 (NLA 0-100) as compared to an established kindergarten screening measure was…
Descriptors: Mathematics Tests, Screening Tests, Test Reliability, Test Validity