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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
Yiling Cheng; I-Chien Chen; Barbara Schneider; Mark Reckase; Joseph Krajcik – Applied Measurement in Education, 2024
The current study expands on previous research on gender differences and similarities in science test scores. Using three different approaches -- differential item functioning, differential distractor functioning, and decision tree analysis -- we examine a high school science assessment administered to 3,849 10th-12th graders, of whom 2,021 are…
Descriptors: Gender Differences, Science Achievement, Responses, Testing
Jewsbury, Paul A. – ETS Research Report Series, 2019
When an assessment undergoes changes to the administration or instrument, bridge studies are typically used to try to ensure comparability of scores before and after the change. Among the most common and powerful is the common population linking design, with the use of a linear transformation to link scores to the metric of the original…
Descriptors: Evaluation Research, Scores, Error Patterns, Error of Measurement
Don't Just Judge the Spelling! The Influence of Spelling on Assessing Second-Language Student Essays
Jansen, Thorben; Vögelin, Cristina; Machts, Nils; Keller, Stefan; Möller, Jens – Frontline Learning Research, 2021
When judging subject-specific aspects of students' texts, teachers should assess various characteristics, e.g., spelling and content, independently of one another since these characteristics are indicators of different skills. Independent judgments enable teachers to adapt their classroom instruction according to students' skills. It is still…
Descriptors: Spelling, Punctuation, Writing Evaluation, Essays
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
Malone, Amelia Schneider; Fuchs, Lynn S. – Grantee Submission, 2015
The 3 purposes of this study were to: (a) describe fraction ordering errors among at-risk 4th-grade students; (b) assess the effect of part-whole understanding and accuracy of fraction magnitude estimation on the probability of committing errors; and (c) examine the effect of students' ability to explain comparing problems on the probability of…
Descriptors: Error Patterns, Fractions, At Risk Students, Grade 4
Malone, Amelia S.; Fuchs, Lynn S. – Journal of Learning Disabilities, 2017
The three purposes of this study were to (a) describe fraction ordering errors among at-risk fourth grade students, (b) assess the effect of part-whole understanding and accuracy of fraction magnitude estimation on the probability of committing errors, and (c) examine the effect of students' ability to explain comparing problems on the probability…
Descriptors: Error Patterns, Fractions, Mathematics Instruction, At Risk Students
van Rijn, Peter W.; Sinharay, Sandip; Haberman, Shelby J.; Johnson, Matthew S. – Large-scale Assessments in Education, 2016
Latent regression models are used for score-reporting purposes in large-scale educational survey assessments such as the National Assessment of Educational Progress (NAEP) and Trends in International Mathematics and Science Study (TIMSS). One component of these models is based on item response theory. While there exists some research on assessment…
Descriptors: Goodness of Fit, Item Response Theory, Regression (Statistics), National Competency Tests
Tatsuoka, Kikumi K. – 1982
This study introduced a probabilistic model utilizing item response theory (IRT) for dealing with a variety of misconceptions. The model can be used for evaluating the transition behavior of error types, advancement of learning stages, or the stability and persistence of particular misconceptions. Moreover, it apparently can be used for relating…
Descriptors: Adaptive Testing, Elementary Secondary Education, Error Patterns, Evaluation Methods
Harnisch, Delwyn L.; Torres, Rosalie T. – 1983
An index identifying factors leading to unusual response patterns by students, the modified caution index, was computed for the reading comprehension and study skills items of Booklet 5 from the 1979 National Assessment of Educational Progress (NAEP) reading achievement survey given to the 9-, 13- and 17-year-old samples. The analyses focused on…
Descriptors: Educational Assessment, Elementary Secondary Education, Error Patterns, Mathematics Skills
Harnisch, Delwyn L.; Linn, Robert L. – 1981
Techniques to identify the degree to which a response pattern is unusual and the pattern's relationship to examinee background are presented. Sato's caution index and modified caution index use clusters of items for comparisons of observed performance outcomes and do not require the use of item response theory. Correlation between the indices was…
Descriptors: Educational Assessment, Educational Diagnosis, Error Patterns, Item Analysis