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Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
Chen, Yi-Hsin; Senk, Sharon L.; Thompson, Denisse R.; Voogt, Kevin – Journal of Educational Measurement, 2019
The van Hiele theory and van Hiele Geometry Test have been extensively used in mathematics assessments across countries. The purpose of this study is to use classical test theory (CTT) and cognitive diagnostic modeling (CDM) frameworks to examine psychometric properties of the van Hiele Geometry Test and to compare how various classification…
Descriptors: Geometry, Mathematics Tests, Test Theory, Psychometrics
Achieve, Inc., 2019
In 2013, the Council of Chief State School Officers (CCSSO), working collaboratively with state education agencies, released a set of criteria for states to use to evaluate and procure high-quality assessments. The mathematics section of the document included five content-specific criteria to evaluate alignment of assessments to college- and…
Descriptors: Mathematics Tests, Difficulty Level, Evaluation Criteria, Cognitive Processes
Aleyna Altan; Zehra Taspinar Sener – Online Submission, 2023
This research aimed to develop a valid and reliable test to be used to detect sixth grade students' misconceptions and errors regarding the subject of fractions. A misconception diagnostic test has been developed that includes the concept of fractions, different representations of fractions, ordering and comparing fractions, equivalence of…
Descriptors: Diagnostic Tests, Mathematics Tests, Fractions, Misconceptions
Sebastian, Mildred Arellano – International Electronic Journal of Mathematics Education, 2020
Most teachers assume that asking questions contributes to the effectiveness of their instruction. Because proper questioning techniques are important for the classroom, this study identified the Mathematics pre-service teachers' classification of test items using the revised Bloom's Taxonomy (rBT) and the Cunningham's Levels of Questions (CLQs).…
Descriptors: Test Items, Preservice Teachers, Classification, Mathematics Tests
Achieve, Inc., 2018
In 2013, the Council of Chief State School Officers (CCSSO), working collaboratively with state education agencies, released a set of criteria for states to use to evaluate and procure high-quality assessments. The mathematics section of the document included five content-specific criteria to evaluate alignment of assessments to college- and…
Descriptors: Mathematics Tests, Difficulty Level, Evaluation Criteria, Cognitive Processes
Chen, Yi-Hsin – Journal of Psychoeducational Assessment, 2022
The quality of diagnostic profiles and probability assignment depends on the validity of the proposed attributes and Q-matrix. The rule-space method (RSM), one of diagnostic classification models, provides the quality indices of diagnostic profiles, such as the classification rate and the squared Mahalanobis distance. The study aims to further…
Descriptors: Profiles, Probability, Classification, Construct Validity
Delafontaine, Jolien; Chen, Changsheng; Park, Jung Yeon; Van den Noortgate, Wim – Large-scale Assessments in Education, 2022
In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or "Q-matrix") designed by subject-matter experts has been a great challenge to real-world applications. This study examined parameter estimation of the CDA with the expert-designed Q-matrix and two refined Q-matrices for international…
Descriptors: Q Methodology, Matrices, Cognitive Measurement, Diagnostic Tests
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Ozarkan, Hatun Betul; Dogan, Celal Deha – Eurasian Journal of Educational Research, 2020
Purpose: This study aimed to compare the cut scores obtained by the Extended Angoff and Contrasting Groups methods for an achievement test consisting of constructed-response items. Research Methods: This study was based on survey research design. In the collection of data, the study group of the research consisted of eight mathematics teachers for…
Descriptors: Standard Setting (Scoring), Responses, Test Items, Cutting Scores
Alhadi, Moosa A. A.; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student mathematics performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies that categorized existing DICs according to the tools that provided language assistance to students and tools that…
Descriptors: Computer Assisted Testing, Mathematics Tests, English Language Learners, Geometry
Hoogland, Kees; Tout, Dave – ZDM: The International Journal on Mathematics Education, 2018
In recent decades, technology has influenced various aspects of assessment in mathematics education: (1) supporting the assessment of higher-order thinking skills in mathematics, (2) representing authentic problems from the world around us to use and apply mathematical knowledge and skills, and (3) making the delivery of tests and the analysis of…
Descriptors: Computer Assisted Testing, At Risk Persons, Mathematics Education, Thinking Skills
Oluwalana, Olasumbo O. – ProQuest LLC, 2019
A primary purpose of cognitive diagnosis models (CDMs) is to classify examinees based on their attribute patterns. The Q-matrix (Tatsuoka, 1985), a common component of all CDMs, specifies the relationship between the set of required dichotomous attributes and the test items. Since a Q-matrix is often developed by content-knowledge experts and can…
Descriptors: Classification, Validity, Test Items, International Assessment
Rakes, Christopher R.; Ronau, Robert N. – International Journal of Research in Education and Science, 2019
The present study examined the ability of content domain (algebra, geometry, rational number, probability) to classify mathematics misconceptions. The study was conducted with 1,133 students in 53 algebra and geometry classes taught by 17 teachers from three high schools and one middle school across three school districts in a Midwestern state.…
Descriptors: Mathematics Instruction, Secondary School Teachers, Middle School Teachers, Misconceptions
Bramley, Tom – Research in Mathematics Education, 2017
This study compared models of assessment structure for achieving differentiation across the range of examinee attainment in the General Certificate of Secondary Education (GCSE) examination taken by 16-year-olds in England. The focus was on the "adjacent levels" model, where papers are targeted at three specific non-overlapping ranges of…
Descriptors: Foreign Countries, Mathematics Education, Student Certification, Student Evaluation
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