NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 6,046 to 6,060 of 114,576 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yan Ping Xin; Soo Jung Kim; Jingyuan Zhang; Qingli Lei; Büsra Yilmaz Yenioglu; Samed Yenioglu; Signe Kastberg; Bingyu Liu; Xiaojun Ma – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Students with learning disabilities/difficulties in mathematics often apply ineffective procedures to solve word problems. Given that current mathematics curriculum standards emphasize conceptual understanding in problem solving as well as higher-order thinking and reasoning, the purpose of this study was to evaluate the impact of a model-based…
Descriptors: Learning Disabilities, Mathematics Instruction, At Risk Students, Problem Solving
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Christopher O. Roman – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
The purpose of this paper is to investigate the relationships between adult students' mathematical micro-identities (informed by positioning theory) and their mathematics (informed by radical constructivism). I used positioning theory to conduct a detailed turn-by-turn analysis of students' micro-identities, and to inform my models of students'…
Descriptors: Mathematics Instruction, Self Concept, Correlation, Constructivism (Learning)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students
Christopher A. Rozeville – ProQuest LLC, 2023
The Leading-to-Calculus Framework (LTCF) is a collection of math courses meant to prepare students for calculus. From its inception, however, scholars have marked out a number of problems with its approach, particularly for students of color: its content and activities are often too broad, its structure is too rigid, and it fails to regularly…
Descriptors: Calculus, Mathematics Instruction, Intelligence, Student Characteristics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mona Baniahmadi; Bima Sapkota; Amy M. Olson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In the U.S., state guidance to schools in response to the COVID-19 pandemic was politicized. We used state-level political affiliation to explore whether access to curricular resources differed pre-pandemic or during pandemic remote teaching and teachers' reported control over curricular resources during pandemic teaching. We found that…
Descriptors: Elementary School Curriculum, Mathematics Curriculum, State Policy, COVID-19
Peer reviewed Peer reviewed
Direct linkDirect link
Thornton, Steve – Mathematics Education Research Journal, 2022
This paper makes a case for placing knowledge at the centre of the school mathematics curriculum, and for knowledge building and knowledge differentiation as critical for both equity and excellence, emphasising that knowledge is much more than a set of descriptions of content as might typically be found in a curriculum document or textbook. The…
Descriptors: Epistemology, Mathematics Education, Critical Theory, Realism
Peer reviewed Peer reviewed
Direct linkDirect link
Sevinc, Serife – Educational Studies in Mathematics, 2022
Models-and-modeling perspective (MMP) is a problem-solving and learning perspective in mathematics education. Although modeling processes have been addressed widely in the international discussion on mathematical modeling, a homogeneous understanding has not been established yet. Hence, the field needs studies addressing the epistemological…
Descriptors: Mathematical Models, Problem Solving, Mathematics Education, Epistemology
Peer reviewed Peer reviewed
Direct linkDirect link
Ribeiro, Ademir Alves; Barbosa, José Renato Ramos – International Journal of Mathematical Education in Science and Technology, 2022
This short note discusses how the optimality conditions for minimizing a multivariate function subject to equality constraints have been covered in some undergraduate Calculus courses. In particular, we will focus on the most common optimization problems in Calculus of several variables: the 2 and 3-dimensional cases. So, along with sufficient…
Descriptors: Calculus, Mathematics Instruction, Undergraduate Students, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Man-Keung, Siu – ZDM: Mathematics Education, 2022
It is commonly known that the letter M in the two acronyms HPM and STEM stands for mathematics, and it is natural to regard mathematics as playing a significant role in science education. However, it seems that appropriate attention is not usually accorded to the role of M in the area of STEM where mathematics tends to be marginalized. In fact,…
Descriptors: STEM Education, Educational History, Technology, Role
Peer reviewed Peer reviewed
Direct linkDirect link
Beccuti, Francesco; Robutti, Ornella – For the Learning of Mathematics, 2022
What is the paradigmatic direction of teaching and learning mathematics? According to Yves Chevallard, father of the anthropological theory of the didactic, the current paradigm is characterized by an obsolescent form of monumentalism. But is a new paradigm possibly on the rise? And what is the role of powerful organizations such as the OECD? We…
Descriptors: Mathematics Instruction, Educational Philosophy, Citizenship, Inclusion
Peer reviewed Peer reviewed
Direct linkDirect link
Sha, Lele; Rakovic, Mladen; Das, Angel; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2022
Predictive modeling is a core technique used in tackling various tasks in learning analytics research, e.g., classifying educational forum posts, predicting learning performance, and identifying at-risk students. When applying a predictive model, it is often treated as the first priority to improve its prediction accuracy as much as possible.…
Descriptors: Prediction, Models, Accuracy, Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Ärlebäck, Jonas Bergman; Albarracín, Lluís – Physics Teacher, 2022
Enrico Fermi is remembered for his many contributions to theoretical and experimental physics, but from an educational point of view he also popularized the use of the kind of questions we now call "Fermi problems" (or "Fermi questions"). Fermi problems (FPs) are back-of-envelope problems that arose from the need to make order…
Descriptors: Physics, Science Instruction, Problem Solving, Computation
Dilek Soysal – ProQuest LLC, 2022
The main objective of this study is to develop a mathematical modeling framework for a deeper understanding of dynamics of math anxiety as a contagious process. Borrowing from theories of the spread of infectious disease, we develop two classes of mathematical models representing the spread of math anxiety in math gateway classes. The first…
Descriptors: Mathematical Models, Mathematics Anxiety, College Credits, Calculus
Peer reviewed Peer reviewed
Direct linkDirect link
Cai, Juan; Wen, Qingyun; Qi, Zhengwen; Lombaerts, Koen – Social Psychology of Education: An International Journal, 2023
Research identifying the core features of Growth Mindset Pedagogy (GMP) in Chinese mathematics education is limited. This is also the first time we have examined the barriers to implementing GMP. We used semi-structured interviews to collect data. By analyzing the interview data, we identified four core features of GMP in mathematics classrooms:…
Descriptors: Student Attitudes, Foreign Countries, Mathematics Education, Barriers
Peer reviewed Peer reviewed
Direct linkDirect link
Gibson, Dominic J.; Berkowitz, Talia; Butts, Jacob; Goldin-Meadow, Susan; Levine, Susan C. – Developmental Science, 2023
Researchers have long been interested in the origins of humans' understanding of symbolic number, focusing primarily on how children learn the meanings of number words (e.g., "one", "two", etc.). However, recent evidence indicates that children learn the meanings of number gestures before learning number words. In the present…
Descriptors: Number Concepts, Nonverbal Communication, Symbols (Mathematics), Knowledge Level
Pages: 1  |  ...  |  400  |  401  |  402  |  403  |  404  |  405  |  406  |  407  |  408  |  ...  |  7639