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Jedediyah Williams – Mathematics Teacher: Learning and Teaching PK-12, 2024
Email filters classify new messages as either spam or not spam based on word frequency, syntax, and metadata. A "classifier" is an algorithm that maps input data into categories based on distinguishing characteristics, or "features." Features can be raw data or attributes derived from that data. "Feature engineering"…
Descriptors: Classification, Engineering, Numbers, Algorithms
Polotskaia, Elena; Savard, Annie – Educational Studies in Mathematics, 2021
The multiplicative reasoning that students should develop in elementary school is a key area of research in contemporary mathematics education. Researchers employ various views including multiplication as arithmetic operation, multiplicative structures, and multiplicative relationships. They also propose various classifications of multiplicative…
Descriptors: Multiplication, Elementary School Mathematics, Elementary School Students, Mathematics Instruction
Barwell, Richard – ZDM: Mathematics Education, 2023
I report the results of an analysis of an episode of elementary school second language mathematics classroom talk focused on the classification of geometric forms, drawing on a dialogic, sources of meaning perspective. The episode was selected because participants make use of a variety of features of language, including vocabulary, gestures and…
Descriptors: Mathematics Instruction, Elementary School Students, English (Second Language), Second Language Learning
Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
Dimmel, Justin K.; Herbst, Patricio G. – Journal for Research in Mathematics Education, 2015
Geometry diagrams use the visual features of specific drawn objects to convey meaning about generic mathematical entities. We examine the semiotic structure of these visual features in two parts. One, we conduct a semiotic inquiry to conceptualize geometry diagrams as mathematical texts that comprise choices from different semiotic systems. Two,…
Descriptors: Geometry, Mathematics Instruction, Semiotics, Textbooks
Chikiwa, Clemence – EURASIA Journal of Mathematics, Science and Technology Education, 2021
This study's focus was two-fold, first to look at forms of gestures teachers of multilingual mathematics classes use during teaching; and second to find out how teachers of multilingual mathematics classes utilize learners' home language, language of learning and teaching and gestures to foster understanding in the teaching of mathematics. This…
Descriptors: Nonverbal Communication, Speech Communication, Semiotics, Figurative Language
Abosalem, Yousef – Pedagogical Research, 2016
This study was conducted to compare two grade-ten mathematics textbooks according to Bloom's Taxonomies. In the Arabic version, 37 out of 70 periods (55.29%) were given to plane geometry and trigonometry, whereas 29 out of 70 periods (41.41%) were allocated for geometry and trigonometry. Also, 12 periods (17.14%) were allocated for algebra in the…
Descriptors: Comparative Analysis, Mathematics Instruction, Foreign Countries, Geometry
Manouchehri, Azita; Yao, Xiangquan; Fleming, Ali; Gomez, Monelle – Athens Journal of Education, 2016
In this work we examined the content of approximately 950 mathematics questions used in measuring achievement among 4th, 5th and 6th graders in the US in an attempt to determine how the current standardized examinations, which were developed to reflect new national curricular mandates, compared to the old measures used for the same purpose. Using…
Descriptors: Mathematics Achievement, Mathematics Instruction, Mathematics Tests, Item Analysis
Bernát, Péter – Acta Didactica Napocensia, 2014
The topic of sorting algorithms is a pleasant subject of informatics education. Not only is it so because the notion of sorting is well known from our everyday life, but also because as an algorithm task, whether we expect naive or practical solutions, it is easy to define and demonstrate. In my paper I will present some of the possible methods…
Descriptors: Mathematics Instruction, Elementary Secondary Education, Classification, Teaching Methods
Karam, Ricardo – Physical Review Special Topics - Physics Education Research, 2014
Physics education research has shown that students tend to struggle when trying to use mathematics in a meaningful way in physics (e.g., mathematizing a physical situation or making sense of equations). Concerning the possible reasons for these difficulties, little attention has been paid to the way mathematics is treated in physics instruction.…
Descriptors: Mathematics Instruction, Physics, Role, Case Studies
Zazkis, Dov – North American Chapter of the International Group for the Psychology of Mathematics Education, 2013
This article argues for a shift in how researchers discuss and examine students' uses of representations during their calculus problem solving. An extension of Zazkis, Dubinsky, and Dautermann's (1996) Visualization/Analysis-framework to include physical modes of reasoning is proposed. An example that details how transitions between visual,…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Problem Solving
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

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