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 (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.