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Direct linkBurhan 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
Download full textRakes, 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
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
