Resources for the Just In Time Math workshop
This workshop will introduce and explore the strategy of using short, student-led, modular math interventions at strategic points in a science course to serve as a reminder for students who have had the math concept previously, or introduce a new concept to a student who is catching up on math preparation as it applies to science. The workshop will draw material from existing programs, and also allow participants to share their own experiences and tips.
About Just in Time Teaching:
Just in Time Teaching at Vanderbilt University with a general description of Just in Time Teaching and links to examples from varying STEM disciplines.
Examples and Activities:
Math You Need is designed to give students the quantitative knowledge that they need, just before they need to use it in their concurrent geoscience course. This program includes pre- and post-testing and self-paced modules.
This project provides teaching resources for two-year college economics faculty and also runs workshops and webinars to help two-year college faculty connect with each other and stay current on important topics in economics and teaching. Starting Point also includes an overview of Just in Time Teaching with a collection of examples. A step by step approach to implementing Just in Time Teaching in your course was created for instructors to create activities specific to their course and students.
More Resources for Teaching Quantitative Skills and Reasoning
Increasing Student Success in Developmental Mathematics National Academy of Science.
This two-day public workshop will focused on how to best support students in post-secondary mathematics courses, with particular attention to students who are unsuccessful in developmental mathematics. The workshop brought together a variety of stakeholders, including experts who have implemented new initiatives designed to improve the mathematics education experience for students.
DataCounts!
DataCounts! is an interactive website designed to help integrate social statistics into the classroom setting and provides access to an archive of datasets and teaching modules created for SSDAN's Census in the Classroom project.
A variety of resources for developing quantitative thinking in the classroom are available through SERC websites. The resources include extensive collections of project pages with tutorials and examples and teaching activities at various educational levels, some of which contain visualizations that may be useful for lectures or labs are also available.
This module provides information for teaching several topics in statistics.
This module provides information and resources for using statistical models in the sciences.
Pedagogy in Action connects theory with classroom practice and developed a series of pages specifically about teaching quantitative reasoning. Teaching Resources are also organized by discipline.
This project by the City University of New York (CUNY) Quantitative Reasoning Alliance aims to foster the infusion of quantitative reasoning (QR) instruction and assessment into undergraduate courses across the curriculum. This project also presents best practices and case studies of how QR is taught at a number of institutions. This website is intended to provide a repository of resources (e.g., best practices, case studies, teaching resources) and information for faculty from across the disciplines who are seeking to infuse numeracy into their course instruction.
This organization offers its members a network of individuals, institutions, and corporations united by the common goal of quantitative literacy for all citizens. Through national meetings, faculty workshops, research initiatives, and information sharing, the NNN aims to strengthen the capacity of our country in the quantitative areas of business, industry, education, and research across all disciplines. This site includes access to the NNN journal, teaching resources, and other information.
How to Solve it A summary of G. Polya's approach (from the book 'How to Solve it') to solving mathematical problems.