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free curriculum materials for courses training prospective math teachers, statistics and other topics

  • 1.  free curriculum materials for courses training prospective math teachers, statistics and other topics

    Posted 07-22-2022 19:39

    The NSF-funded MODULE(S2) project has published free curriculum materials that develop prospective teachers' statistical knowledge for teaching secondary mathematics/statistics. Intended for use in university content courses that include statistics, the materials are organized into 3 modules:

    • Module 1: Study Design & Exploratory Data Analysis

    • Module 2: Statistical Inference

    • Module 3: Statistical Association

    Each module takes about 4 weeks of class time, so collectively they could be used as the total curriculum for a 3-credit-hour semester-long class. Alternatively, each module is independent of the others, so the materials can be used flexibly. The MODULE(S2) project has also published similar materials that address Algebra, Geometry, and Mathematical Modeling. Another use of these materials could be selection of modules across different content areas to form the curriculum for a capstone course for secondary mathematics teachers.

    The MODULE(S2) curriculum materials have undergone extensive piloting over the last four years and have shown to be effective at improving prospective teachers' mathematical knowledge for teaching as well as their expectancy and value of teaching mathematics through a student-centered, discussion-based approach. MODULE(S2) curriculum materials have been successfully used in courses solely for teachers as well as courses with a variety of majors.

    In addition to our curriculum materials, the MODULE(S2) project has created an online professional learning space to support users of the MODULE(S2) curriculum materials. It includes professional development resources as well as space for interacting with fellow instructors.

    Visit our website, www.modules2.com, to learn more about our project and request free access to our materials.


    Andrew Ross
    Dept. of Mathematics and Statistics
    Eastern Michigan University
    Ypsilanti, MI, USA