The Middle School Portal 2: Math and Science Pathways project (MSP2) is a component of the National Science Digital Library (NSDL) that supports middle school educators and youth by offering contextualized, high-quality resources and promotes interactivity, collaboration, and knowledge-sharing among its users. Educators can access MSP2 to increase content knowledge in the areas of science, mathematics, and technology, and to build knowledge on developmentally appropriate pedagogy for youth aged 10 to 15. MSP2 also connects middle school youth to fun and engaging information on math, science, and technology, as well as health, safety, and career exploration. Web tools such as blogs, wikis, podcasts, RSS feeds, and social networking services are being used in the continued development of MSP2 to transform passive, text-based information into a dynamic, collaborative experience that promotes the creation, modification, and sharing of resources, and facilitates professional development. MSP2 is a project of The Ohio State University, National Middle School Association, and Education Development Center, Inc., and is funded by the National Science Foundation.
Mathematics game from Maryland Public Television designed for middle-school pre-algebra students. The protagonist, a kid who's just had his beloved pet abducted by Bigfoot and taken to a subterranean food mill, has to solve a series of math-based puzzles to get him back. The puzzles focus on proportions, ratios, fractions, and variables.
This multimedia resource includes interactive math activities, print activities, learning strategies, and videos that illustrate how math is used in everyday life. The resource addresses the following mathematics topics: Fractions; Integers; Percentages; Rate/Ratio/Proportion; Square Roots; Exponents; Patterns; Algebra; Linear Equations; Polynomials; Angles; Circles; Surface Area and Volume; Area and Perimeter; Triangles; Pythagoras; Trigonometry; Similarity and Congruence; Transformations; Shape Classification; Data Display and Graphs; Central Tendency and Distribution; and Probability.