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Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
Jørgen Sjaastad – For the Learning of Mathematics, 2024
Years of failed attempts to engage my mathematics teacher students in exploration and co-creation led me to radically change my teaching approach. Inspired by literature that uses the jazz improv metaphor for teaching, I derived three tenets based on principles from jazz improv. First, I would bring no more than a single problem-solving task to…
Descriptors: Creative Activities, Mathematics Instruction, Teaching Methods, Learner Engagement
Dalal H. Alfageh; Cindy S. York; Angie Hodge-Zickerman; Ying Xie – International Electronic Journal of Mathematics Education, 2024
This case study examined teachers' perceptions and use of adaptive diagnostic assessment for improving teaching and learning of elementary-level mathematics. The purpose was to understand how the teaching and learning of mathematics occurred in the classroom and changes that transpired due to the implementation of diagnostic assessments. Findings…
Descriptors: Elementary School Teachers, Teaching Methods, Mathematics Instruction, Case Studies
Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
Student, Sanford R. – Educational Researcher, 2022
Empirical growth benchmarks, as introduced by Hill, Bloom, Black, and Lipsey (2008), are a well-known way to contextualize effect sizes in education research. Past work on these benchmarks, both positive and negative, has largely avoided confronting the role of vertical scales, yet technical issues with vertical scales trouble the use of such…
Descriptors: Computer Simulation, Benchmarking, Effect Size, Intervention
Cavalheiro, Adail de Castro; Grebot, Guy – International Journal of Mathematical Education in Science and Technology, 2022
This work presents an evaluation of a unified Calculus 1 course in a large Brazilian federal university. By course unification we mean having all the sections following the same weekly schedule, under the same syllabus and common assessment. We analyse two sets of data: pass rates relative to the 9 semesters prior to the unification and to the…
Descriptors: Teaching Methods, Learning Processes, Calculus, Undergraduate Students
Landi, Amanda K.; Minden, Kaethe – PRIMUS, 2023
In this paper, we assess the pedagogical approaches we employ in our US-based undergraduate mathematics courses during the COVID-19 pandemic. Our goal is to share anecdotal evidence on the use of math journals, oral exams, and learning portfolios in the synchronous online mathematics classroom. We reflect on our experience using artifacts of…
Descriptors: Metacognition, COVID-19, Pandemics, Teaching Methods
Ross, Matthew M.; Wright, A. Michelle – Journal of Education for Business, 2022
We use Markov chain Monte Carlo (MCMC) analysis to construct a three-question math quiz to assess key skills needed for introductory finance. We begin with data collected from a ten-question criterion-referenced math quiz given to 314 undergraduates on the first day of class. MCMC indicates the top three questions for predicting overall course…
Descriptors: Mathematics Tests, Markov Processes, Monte Carlo Methods, Introductory Courses
Lynch, Samantha – ProQuest LLC, 2023
This study focuses on a problem of practice at George County Middle School, a 6-8 middle school located in central Kentucky. The achievement gap between English Language learners and non-english language learners continues to grow wider as students' progress through their educational career. As a result, English learners are being…
Descriptors: Mathematics Instruction, Teaching Methods, Teacher Attitudes, Middle School Students
Pham, Duy N.; Wells, Craig S.; Bauer, Malcolm I.; Wylie, E. Caroline; Monroe, Scott – Applied Measurement in Education, 2021
Assessments built on a theory of learning progressions are promising formative tools to support learning and teaching. The quality and usefulness of those assessments depend, in large part, on the validity of the theory-informed inferences about student learning made from the assessment results. In this study, we introduced an approach to address…
Descriptors: Formative Evaluation, Mathematics Instruction, Mathematics Achievement, Middle School Students
Jace'Karmon Thomas – ProQuest LLC, 2021
Errors in mathematics are common hurdles for teachers and students; therefore, it is important to learn what errors students make and how students treat them. This study initially identified the types of errors students made while working with algebraic expressions and documented and analyzed the process of students completing an error analysis…
Descriptors: Mathematics Education, Error Patterns, Formative Evaluation, Mathematics Tests
Jones, Julie P.; Bradley, Gary; Love, Sarah – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2018
When implemented correctly, feedback from assessments can result in students reflecting and rethinking their mathematics, while increasing their effort and motivation. This article explores a formative assessment technique for use in the first few minutes of each class. Readers will find out how they can use the QuickQuiz (QQ) to drive…
Descriptors: Mathematics Instruction, Feedback (Response), Formative Evaluation, Teaching Methods
Improving Student Success and Supporting Student Meaning-Making in Large-Lecture Precalculus Classes
McNicholl, T. H.; Frank, K.; Hogenson, K.; Roat, J.; Carlson, M. P. – PRIMUS, 2021
We discuss an implementation of the research-based Pathways precalculus curriculum in a large-lecture format supported by recitations, clickers, and online homework. We describe our approach to adapting the implementation of Pathways precalculus from a small class to a large lecture instructional format. We report data on student learning and…
Descriptors: Mathematics Instruction, College Mathematics, Teaching Methods, Calculus
Prextova, Tatiana; Klubal, Libor; Kostolányová, Katerina; Homanov, Zuzana; Gybas, Vojtech – International Association for Development of the Information Society, 2018
Individualization of instruction in a regular classroom is difficult. The paper explores the possibilities of using a mobile touch device and a web tool for time individualization in mathematics instruction. The paper compares the pros and cons of using an electronic and a regular (printed) test to determine students' needs. The results show that…
Descriptors: Individualized Instruction, Computer Software, Mathematics Instruction, Teaching Methods
Yong, Su-Ting; Karjanto, Natanael; Gates, Peter; Chan, Tak-Yee Andy; Khin, Than-Myint – International Journal of Mathematical Education in Science and Technology, 2021
This study explored the gaming principles that fitted well in the theory of learning in good computer games and attempted to incorporate those principles into mathematics education. A qualitative dominant mixed methods approach was employed, in which qualitative interviews [eight students, six teachers and eight parents] and quantitative surveys…
Descriptors: Teaching Methods, Mathematics Instruction, Feedback (Response), Learning Theories

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