Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 17 |
Descriptor
Correlation | 21 |
Mathematical Concepts | 21 |
Validity | 18 |
Mathematics Instruction | 15 |
Mathematical Logic | 13 |
Algebra | 9 |
Concept Formation | 9 |
Foreign Countries | 7 |
Teaching Methods | 7 |
Geometry | 6 |
Mathematics Tests | 6 |
More ▼ |
Source
Author
Amisha Jindal | 3 |
Ashish Gurung | 3 |
Erin Ottmar | 3 |
Ji-Eun Lee | 3 |
Reilly Norum | 3 |
Sanika Nitin Patki | 3 |
Achtaich, Naceur | 1 |
Annelise W. Nielsen | 1 |
Blanton, Maria L. | 1 |
Bozkurt, Gulay | 1 |
Christou, Constantinos | 1 |
More ▼ |
Publication Type
Education Level
Secondary Education | 6 |
Elementary Education | 5 |
Middle Schools | 5 |
Higher Education | 4 |
Junior High Schools | 4 |
Grade 8 | 2 |
High Schools | 2 |
Postsecondary Education | 2 |
Elementary Secondary Education | 1 |
Grade 11 | 1 |
Grade 3 | 1 |
More ▼ |
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 1 |
What Works Clearinghouse Rating
Annelise W. Nielsen – ProQuest LLC, 2023
This study sought to explore whether access to definitions and general representations influences the construction of general direct arguments. Data was collected in college mathematics courses for prospective elementary school teachers. Participant arguments were analyzed along two variables: the generality of the representations and the…
Descriptors: Definitions, Persuasive Discourse, Correlation, Concept Formation
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Qetrani, Safâ; Achtaich, Naceur – Journal on Mathematics Education, 2022
To measure the procedural and conceptual knowledge of functions and to clarify the relationship between them in the context of mathematics education in Morocco, a structural equation modeling (SEM) analysis was used. In addition, correlation tests between students' grades at their Mathematical Analysis Assessments and their procedural and…
Descriptors: Correlation, Mathematics Instruction, Foreign Countries, Factor Analysis
Pittalis, Marios; Pitta-Pantazi, Demetra; Christou, Constantinos – Journal for Research in Mathematics Education, 2020
A theoretical model describing young students' (Grades 1-3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students' functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that…
Descriptors: Elementary School Students, Thinking Skills, Task Analysis, Profiles
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Bozkurt, Gulay; Uygan, Candas – International Journal for Technology in Mathematics Education, 2021
This paper focuses on pre-service mathematics teachers' geometrical construction processes while using a duo of artefacts, namely the paper-and-pencil environment (PPE) and a dynamic geometry system (DGS). The participants of this case study were two pre-service mathematics teachers, who had limited DGS experiences in solving geometry tasks. The…
Descriptors: Preservice Teachers, Teacher Education Programs, Geometry, Mathematics Instruction
Plaxco, David – ProQuest LLC, 2015
In this research, I set out to elucidate the relationships that might exist between students' conceptual understanding upon which they draw in their proof activity. I explore these relationships using data from individual interviews with three students from a junior-level Modern Algebra course. Each phase of analysis was iterative, consisting of…
Descriptors: Mathematics Instruction, Mathematical Logic, Validity, Interviews
Shongwe, Benjamin – Journal of Urban Mathematics Education, 2022
The development of urban students' mathematical proving ability is a goal of several curricula frameworks, including some located in the southern hemisphere. However, in achieving this goal, most curriculum frameworks do so from a Western worldview, which is characterized by competition and the role of the individual. The purpose of this study was…
Descriptors: Disadvantaged, Grade 11, High School Students, Mathematics Instruction
Stylianou, Despina A.; Blanton, Maria L.; Rotou, Ourania – International Journal of Research in Undergraduate Mathematics Education, 2015
This article presents the results from a study of 535 early undergraduate students at six universities that was designed to describe their views of the meaning of proof and how these views relate to their attitudes and beliefs towards proof and their classroom experiences with learning proof. Results show that early undergraduate students have…
Descriptors: Undergraduate Students, Mathematical Logic, Validity, Correlation
Tyagi, Tarun Kumar – International Journal of Mathematical Education in Science and Technology, 2016
The relationship between mathematical creativity (MC) and mathematical problem-solving performance (MP) has often been studied but the causal relation between these two constructs has yet to be clearly reported. The main purpose of this study was to define the causal relationship between MC and MP. Data from a representative sample of 480…
Descriptors: Creative Thinking, Creativity, Mathematics, Mathematics Instruction
Zwicky, Jan – For the Learning of Mathematics, 2010
How are we to understand the power of certain literary metaphors? The author argues that the apprehension of good metaphors is importantly similar to the apprehension of fruitful mathematical analogies: both involve a structural realignment of vision. The author then explores consequences of this claim, drawing conceptually significant parallels…
Descriptors: Figurative Language, Mathematical Concepts, Mathematics Instruction, Mathematical Logic
Hughes, Gerunda B.; Daro, Phil; Holtzman, Deborah; Middleton, Kyndra – American Institutes for Research, 2013
Introduction: For decades, prior to the inception of the Common Core State Standards (CCSS), the National Assessment of Educational Progress (NAEP) was the only vehicle through which states could assess the progress of their students using a common metric. Now, 45 states, 4 U.S. territories, and the District of Columbia have adopted the CCSS to…
Descriptors: National Competency Tests, Mathematics Tests, Mathematics Achievement, State Standards
Katsuura, Hidefumi – College Mathematics Journal, 2009
In this article, the author proves two conjectures of Thomas Dence.
Descriptors: Correlation, Equations (Mathematics), Mathematical Concepts, Mathematics Instruction
Plaza, A.; Falcon, S. – International Journal of Mathematical Education in Science and Technology, 2008
In this article, we consider some generalizations of Fibonacci numbers. We consider k-Fibonacci numbers (that follow the recurrence rule F[subscript k,n + 2] = kF[subscript k,n + 1] + F[subscript k,n]), the (k, l)-Fibonacci numbers (that follow the recurrence rule F[subscript k,n + 2] = kF[subscript k,n + 1] + lF[subscript k,n]), and the Fibonacci…
Descriptors: Numbers, Mathematical Concepts, Mathematics Instruction, Problem Solving
Previous Page | Next Page »
Pages: 1 | 2