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Pages in category "Mathematics education television series" The following 26 pages are in this category, out of 26 total. This list may not reflect recent changes .
Discovery math: a constructivist method of teaching (discovery learning) mathematics which centres around problem-based or inquiry-based learning, with the use of open-ended questions and manipulative tools. [23] This type of mathematics education was implemented in various parts of Canada beginning in 2005. [24]
Mathcad was conceived and developed by Allen Razdow and Josh Bernoff at Mathsoft founded by David Blohm and Razdow. It was released in 1986. It was the first system to support WYSIWYG editing and recalculation of mathematical calculations mixed with text. [3]
All the games in this series are math and reading comprehension oriented educational adventure games aimed at younger children. Games in the treasure series all have the same three stage gameplay format where a special object, whose location can be deduced by answering questions, is needed to reach the next stage.
Microsoft Math Solver (formerly Microsoft Mathematics and Microsoft Math) is an entry-level educational app that solves math and science problems. Developed and maintained by Microsoft , it is primarily targeted at students as a learning tool.
3Blue1Brown is a math YouTube channel created and run by Grant Sanderson. [6] The channel focuses on teaching higher mathematics from a visual perspective, and on the process of discovery and inquiry-based learning in mathematics, which Sanderson calls "inventing math".
In computing, the modulo operation returns the remainder or signed remainder of a division, after one number is divided by another, called the modulus of the operation.. Given two positive numbers a and n, a modulo n (often abbreviated as a mod n) is the remainder of the Euclidean division of a by n, where a is the dividend and n is the divisor.
In statistics, the phi coefficient (or mean square contingency coefficient and denoted by φ or r φ) is a measure of association for two binary variables.. In machine learning, it is known as the Matthews correlation coefficient (MCC) and used as a measure of the quality of binary (two-class) classifications, introduced by biochemist Brian W. Matthews in 1975.