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Akkurt, Yasemin Yilmaz; Durmus, Soner – Journal of Research and Advances in Mathematics Education, 2022
The aim of this paper is to review some studies conducted with different learning areas in which the schemes of different participants emerge. Also it is about to show how mathematical proofs are handled in these studies by considering Harel and Sowder's classification of proof schemes with specific examples. As a result, it was seen that the…
Descriptors: Validity, Mathematical Logic, Mathematics Instruction, Classification
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de Lange, Jan – Journal on Mathematics Education, 2021
I present my perspective on the design process in this article, arguing for a focus on student learning and "slow design" that stems from knowledge of mathematics and their support system in the learning process. I have a question about the design process academization and task design research direction. Numerous examples from my work at…
Descriptors: Learning Processes, Mathematics Instruction, Instructional Design, Task Analysis
Michelle P. Banawan; Jinnie Shin; Tracy Arner; Renu Balyan; Walter L. Leite; Danielle S. McNamara – Grantee Submission, 2023
Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse…
Descriptors: Algebra, Discourse Analysis, Semantics, Syntax
Manuel Vazquez Cano – ProQuest LLC, 2024
This three-article dissertation examined how policy choices in three key policy areas -- initial enrollment, service provision, and reclassification -- impact English learner (EL)-classified students. The first article examined the national landscape of state statutes, regulations, and state education agencies' (SEA) guidance that support…
Descriptors: Educational Policy, Policy Analysis, Immigrants, Classification
Sahba Akhavan Niaki – ProQuest LLC, 2018
The increasing amount of available subjective text data in internet such as product reviews, movie critiques and social media comments provides golden opportunities for information retrieval researchers to extract useful information out of such datasets. Topic modeling and sentiment analysis are two widely researched fields that separately try to…
Descriptors: Models, Classification, Content Analysis, Documentation
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Jaquet, Karina; Fong, Anthony B. – Regional Educational Laboratory West, 2017
Research has found high repetition rates for students in Algebra I, with one study finding a repetition rate of 44 percent for students in a large urban high school district. Less is known about how math performance and Algebra I course repetition rates vary among students with different levels of English proficiency. This report examines Algebra…
Descriptors: Algebra, English Language Learners, Language Proficiency, Repetition
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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
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Çelik, Derya – International Journal for Mathematics Teaching and Learning, 2015
Linear algebra is one of the most challenging topics to learn and teach in many countries. To facilitate the teaching and learning of linear algebra, priority should be given to epistemologically analyze the concepts that the undergraduate students have difficulty in conceptualizing and to define their ways of reasoning in linear algebra. After…
Descriptors: Algebra, Mathematics Instruction, Mathematical Concepts, Concept Formation
Stiegelmeyer, Cindy – ProQuest LLC, 2012
This study surveyed 82 preservice elementary teachers using items from an instrument designed to predict student achievement based on a teacher's mathematics knowledge for teaching (MKT) in numbers and operations concepts. Additional mathematics beliefs items asked participants to rate their level of agreement with math myths and math anxiety…
Descriptors: Preservice Teachers, Elementary School Teachers, Predictor Variables, Mathematics Achievement
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Clarke, Ben; Nese, Joseph F. T.; Alonzo, Julie; Smith, Jean Louise M.; Tindal, Gerald; Kame'enui, Edward J.; Baker, Scott K. – Assessment for Effective Intervention, 2011
The results from a year-long study to investigate the technical features of easyCBM mathematics screening measures for first grade are presented. Measures were designed based on the National Council of Teachers of Mathematics Curriculum Focal Point standards, which for Grade 1 include (a) Number and Operations and Algebra, (b) Number and…
Descriptors: Mathematics Curriculum, Predictive Validity, Classification, Mathematics Teachers
Gallová, Mária, Ed.; Guncaga, Ján, Ed.; Chanasová, Zuzana, Ed.; Chovancová, Michaela Moldová, Ed. – Online Submission, 2013
Purpose: The purpose of this scientific monograph is to show new and creative approaches to different school subjects in primary and secondary level. Methodology: Interdisciplinary and international comparative approaches were used. Now according to the 7th Framework Program, the preferred form of Science Education (www.scientix.eu) is preferred…
Descriptors: Elementary Secondary Education, Interdisciplinary Approach, Intellectual Disciplines, Comparative 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