This Exploratory Project is developing two prototype innovative instructional modules for grades 9-12 modules, and testing them extensively for usability and impact. These modules will emphasize the role of mathematics and computer science in planning for sustainability.
The project will develop modules for grades 9-12 that integrate mathematics, computing and science in sustainability contexts. The project materials also include information about STEM careers in sustainability to increase the relevancy of the content for students and broaden their understanding of STEM workforce opportunities. It uses summer workshops to pilot test materials and online support and field testing in four states.
This project will develop 15 modules for high school students that connect biology, computation, and mathematics with corresponding teacher materials and professional development activities. The modules will draw on an approach to biological phenomena as involving information processing, in three illustrative areas conducive to learning at the high school level: Bioinformatics and Computational Biology, Mathematical Methods in Epidemiology, and Mathematical Methods in Ecology.
This project continues research and development work on high school instructional materials that integrate biology, computing, and mathematics. The project goal is to develop and test a one-semester high school course. The course consists of some modules developed under a previous NSF grant as well as some new material. Intended deliverables include up to five new instructional modules and a coherent one-semester course suitable for the increasing state requirements for a fourth year of mathematics.
This project is developing and testing a set of 12 curriculum modules designed to engage high school students and their teachers in the process of applying computational concepts and methods to problem solving in a variety of scientific contexts. The project perspective is that computational thinking can be usefully thought of as a specialized form of mathematical modeling.