In CSU General Education mathematics and quantitative reasoning courses, students will not just practice computational skills, but will be able to explain and apply basic mathematical concepts and will be able to solve problems through quantitative reasoning.
CSU faculty are innovators in mathematics/quantitative reasoning education, offering a wide array of courses through which students develop both abstract approaches to problem solving and the practical modeling of real-world data.
This is not intended to be an exhaustive list but to provide a starting point with the most well-established and credible resources. The majority of these links will lead to additional resources not listed here.
- National Numeracy Network (NNN): The first stop for any instructor interested in QR, the NNN provides modules on pedagogical approaches, collections of course materials and links to a variety of other QR resources.
- QuIRK curricular materials: Includes a guide to creating QR writing assignments, examples of QR assignments and courses, and a module on using spreadsheets to teach QR across the curriculum.
- "Beyond Calculation" (Madison and Deville, 2014): This Peer Review article provides basic design principles for an effective QR course.
- Thinking Quantitatively: Eric Gaze's blog highlights news articles with quantitative information as well as suggestions for QR class activities.
- Chance: A non-technical, quarterly magazine of the American Statistical Association "highlighting applications that demonstrate sound statistical practice."
Sample approaches to identifying and assessing course outcomes and student-learning outcomes are shared here. This is not intended to be an exhaustive list but to provide a starting point with the most well-established and credible resources. The majority of these links will lead to additional resources. We welcome further suggestions for this collection.
- QuIRK resources on QR Program Design and Assessment: Extensive resources for assessing QR, including learning goals, assessment rubrics and the assessment protocol Carleton uses for its annual assessment program.
- Project Kaleidoscope (PKAL) workshop assessment tools: Descriptions and links to tests and surveys used by some institutions and/or instructors to assess QR skills or growth.
- AAC&U Quantitative Literacy VALUE rubric: The VALUE (Valid Assessment of Learning in Undergraduate Education) rubrics "articulate fundamental criteria for each learning outcome, with performance descriptors demonstrating progressively more sophisticated levels of attainment. The rubrics are intended for institutional-level use in evaluating and discussing student learning, not for grading."
- Degree Qualifications Profile: The DQP "outlines a set of reference points for what students should know and be able to do upon completion of associate, bachelor's and master's degrees — in any field of study." There are five broad areas of learning and Quantitative Fluency is one of the proficiencies within the "Intellectual Skills" area.
- CSUEB Assessment Resources: A compilation of resources, including rubrics for a variety of assignments and program assessment needs, all linked to CSU East Bay's Institutional Learning Outcomes (ILOs). One rubric faculty developed and approved for pilot assesses Quantitative Reasoning.
- CSUMB Assignment Guides and Integrated Rubrics: Developed by the Assessment Coordinators at CSU Monterey Bay to "help instructors embed critical thinking and information literacy tasks and assessment criteria in quantitative reasoning, written communication, and oral communication assignments."
CSU faculty are innovators in mathematics/quantitative reasoning education, offering courses through which students develop both abstract approaches to problem solving and the practical modeling of real world data.
CSU baccalaureate-level GE courses include, for example:
Advanced Research Investigations
Analytic Geometry and Calculus I, II, III
Calculus I, II, III
Calculus for Business Applications
Computer Science I
Gambling and Games of Chance
Geographic Information Science and Spatial Reasoning
Introduction to Statistics for the Health Sciences
Logic and Mathematical Reasoning
Logic and Computing
Math for Games, Simulations and Robotics
Mathematical Statistics for Nursing
Mathematics and Fine Arts
Mathematics as a Liberal Art
Media-Propelled Computational Thinking
Philosophy of Mathematics
Quantitative Methods for Biology
Statistical Methods for Research
Statistical Principles and Practices
Statistics for Social Sciences
Strategies and Game Design
Survey of Calculus for Management and Life Sciences
Symmetry in the Arts and Sciences
Trigonometry and Analytic Geometry
For more information about CSU General Education Breadth Mathematics and Quantitative Reasoning Requirements, contact:
Dr. Alison Wrynn, State University Associate Dean for Academic Programs
email@example.com (562) 951-4672
Ms. Karen Simpson-Alisca, Assistant Director Undergraduate Transfer Programs and Policy
firstname.lastname@example.org (562) 951-4715
Ms. Quajuana Chapman, Curriculum and Articulation Assistant
email@example.com (562) 951-4779