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Sakow, Matthew; Karaman, Ruveyda – Mathematics Teaching in the Middle School, 2015
Many students struggle with algebra, from simplifying expressions to solving systems of equations. Students also have misconceptions about the meaning of variables. In response to the question "Can x + y + z ever equal x + p + z?" during a student interview, the student claimed, "Never . . . because p has to have a different value…
Descriptors: Misconceptions, Algebra, Technology Uses in Education, Teaching Methods
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Sole, Marla A. – Mathematics Teacher, 2015
Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…
Descriptors: Test Construction, Surveys, Student Participation, Design
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Cline, Kelly; Zullo, Holly; VonEpps, Lahna – PRIMUS, 2012
We study how different sections voted on the same set of classroom voting questions in differential calculus, finding that voting patterns can be used to identify some of the questions that have the most pedagogic value. We use statistics to identify three types of especially useful questions: 1. To identify good discussion questions, we look for…
Descriptors: Voting, Formative Evaluation, Calculus, Mathematics Instruction
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Lim, Kien H. – International Journal of Mathematical Education in Science and Technology, 2011
This article presents a lesson that uses prediction items, clickers and visuals via PowerPoint slides to help prospective middle-school teachers address two common misconceptions: multiplication makes bigger and division makes smaller (MMB-DMS). Classroom research was conducted to explore the viability of such a lesson. Results show that the…
Descriptors: Classroom Research, Prediction, Effect Size, Educational Opportunities
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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