For the Learning of Mathematics is a triannual peer-reviewed academic journal covering mathematics education. It was established in 1981 by David Wheeler...

the modern machine learning technologies as well, including logician Walter Pitts and Warren McCulloch, who proposed the early mathematical models of...

contemporary education, mathematics education—known in Europe as the didactics or pedagogy of mathematics—is the practice of teaching, learning, and carrying out...

Mathematical anxiety, also known as math phobia, is a feeling of tension and anxiety that interferes with the manipulation of numbers and the solving...

The language of mathematics or mathematical language is an extension of the natural language (for example English) that is used in mathematics and in science...

analyzes the pitch, timing, and structure of music. It uses mathematics to study elements of music such as tempo, chord progression, form, and meter. The attempt...

In mathematics, the origin of a Euclidean space is a special point, usually denoted by the letter O, used as a fixed point of reference for the geometry...

Some of the alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning. Rote learning is widely...

Mathematics is a field of study that discovers and organizes methods, theories and theorems that are developed and proved for the needs of empirical sciences...

Mathematical puzzles make up an integral part of recreational mathematics. They have specific rules, but they do not usually involve competition between...

Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. Reinforcement learning differs...

Sanderson. The channel focuses on teaching higher mathematics from a visual perspective, and on the process of discovery and inquiry-based learning in mathematics...

In mathematics education, ethnomathematics is the study of the relationship between mathematics and culture. Often associated with "cultures without written...

institutions of higher learning in the United States and some other countries International Mathematical Modeling Challenge — team contest for high school...

learning how to manipulate numbers, performing mathematical calculations, and learning facts in mathematics. It is sometimes colloquially referred to as...

Learning is the process of acquiring new understanding, knowledge, behaviors, skills, values, attitudes, and preferences. The ability to learn is possessed...

(February 1994). "The role and function of a hierarchical classification of quadrilaterals". For the Learning of Mathematics. 14 (1): 11–18. JSTOR 40248098. ῥόμβος...

considered to be possible values of the dependent variable. In machine learning, the observations are often known as instances, the explanatory variables are...

assessment for learning, including diagnostic testing, is a range of formal and informal assessment procedures conducted by teachers during the learning process...

This list of mathematics awards contains articles about notable awards for mathematics. The list is organized by the region and country of the organization...

"The Unreasonable Effectiveness of Mathematics in the Natural Sciences" is a 1960 article written by the physicist Eugene Wigner, published in Communication...

critical mathematics, neither mathematics itself nor the teaching or learning of mathematics can be value-neutral, or free of interpretation. The critical...

DreamBox Learning is an American online software provider that focuses on mathematics education for elementary and middle school, and reading education for elementary...

Investigations in Mathematics Learning is the official research journal of the Research Council for Mathematics Learning. RCML seeks to stimulate, generate...

are a set of mathematical manipulatives developed in the 1960s. The six shapes are both a play resource and a tool for learning in mathematics, which serve...

Trends in Machine Learning". She is a member of the Association for Computing Machinery and the Association for Women in Mathematics. Angluin is highly...

Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression...

machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent...

of notable academic journals in the field of mathematics education. College Mathematics Journal Educational Studies in Mathematics For the Learning of...

brings mathematics to life; studying the effects of the body on the mind, researchers learn how to design objects and activities for learning. Embodiment...