A collaboration among educators, engineers, and mathematicians in three universities, this project is creating, implementing, and evaluating a one-year curriculum for teaching a non-calculus, fourth-year high school mathematics course and accompanied assessment instruments. The curriculum will draw on decision-making tools that include but go well beyond linear programming, to enhance student mathematical competence (particularly solving multi-step problems), improve students' attitudes toward mathematics, and promote states' adoption of the curriculum (initially NC and MI).
Mathematics Instruction Using Decision Science and Engineering Tools
Mathematics INstruction using Decision Science and Engineering Tools (MINDSET) is a collaboration among educators, engineers, and mathematicians at three universities to create, implement, and evaluate a new curriculum and textbook to teach standard mathematics concepts using math-based decision-making tools for a non-calculus fourth-year mathematics curriculum that several states now require and others may require in the near future. MINDSET has three goals: (1) enhancement of students’ mathematical ability, especially their ability to formulate and solve multi-step problems and interpret results; (2) improvement in students’ attitude toward mathematics, especially those from underrepresented groups, thereby motivating them to study mathematics; and (3) adoption of the curriculum initially in North Carolina and Michigan, then in other states.
Using decision-making tools from Operations Research and Industrial Engineering, we will develop a fourthyear high school curriculum in mathematics and support materials to teach standard content. Through a multi-state, multi-school district assessment, we will determine if a statistically significant improvement in students’ mathematical ability—particularly in multi-step problem solving and interpretation of results—and in motivation and attitude toward mathematics has occurred. Participating teachers will receive professional training, help to create a knowledge-based online community for support, and in-person and online technical assistance. Through extensive data collection and analysis, we will determine if this infrastructure is sustainable and sufficiently flexible to be reproduced and used by others.