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Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
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Abu Mokh, Rana; Othman, Ali; Shahbari, Juhaina Awawdeh – International Journal of Research in Education and Science, 2019
The aim of this study is to examine the mistakes made by students in the use of logical connectives while simplifying algebraic equations and inequalities, and the extent to which teachers are aware of these mistakes and how they assess them. The study was conducted among 50 ninth grade students and 63 practicing teachers of mathematics. The data…
Descriptors: Middle School Teachers, Grade 9, Mathematics Teachers, Error Patterns
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Verleger, Matthew A.; Rodgers, Kelsey J.; Diefes-Dux, Heidi A. – Journal of Engineering Education, 2016
Background: Students conducting peer review on open-ended problem solutions require training. For that training, the selection of training examples is critical. Purpose: This study explored how the characteristics of five example solutions used in training and their associated expert evaluations affected students' abilities to score peer team…
Descriptors: Comparative Analysis, Teaching Methods, Problem Solving, Specialists
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Bonner, Sarah M.; D'Agostino, Jerome V. – Applied Measurement in Education, 2012
We investigated examinees' cognitive processes while they solved selected items from the Multistate Bar Exam (MBE), a high-stakes professional certification examination. We focused on ascertaining those mental processes most frequently used by examinees, and the most common types of errors in their thinking. We compared the relationships between…
Descriptors: Cognitive Processes, Test Items, Problem Solving, Thinking Skills
Northrup, Christian Glenn – ProQuest LLC, 2012
This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled…
Descriptors: Statistics, Problem Solving, Writing (Composition), Teaching Methods
Walker, Amy M. – ProQuest LLC, 2012
The present study examined the relationship between Oral Reading Fluency (ORF) scores and mathematics problem solving scores. The reading fluency scores were obtained from the Dynamic Indicator of Basic Early Literacy (DIBELS) assessment. The mathematics problem solving scores were obtained from the Indiana State Test of Education Progress Plus…
Descriptors: Reading Fluency, Word Problems (Mathematics), Problem Solving, Reading Achievement
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Tariq, V. N. – International Journal of Mathematical Education in Science and Technology, 2008
This study extends the debate concerning the mathematical skills deficit of bioscience undergraduates towards a deeper understanding of their mathematics learning, since only through the latter can appropriate and effective explicit teaching be implemented. Three hundred and twenty-six first-year bioscience undergraduates, from three pre- and four…
Descriptors: Mathematics Education, Test Items, Mathematics Tests, Scoring
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection