Teaching & Learning

Mathematics, technical education, online learning, and the work of helping people understand machinery rather than merely operate it.

A Few Places to Begin

Representative entry points from across the site.

  • Books · 2nd edition · 2025 · Co-editor with John F. Beyers

    Teaching and Learning Mathematics Online

    This collection is for people teaching mathematics and statistics in online settings: not a manifesto for technology, but a practical account of the choices that make courses work. John Beyers and I brought together instructors and researchers writing about assessment, engagement, access, and the ordinary difficulty of helping people learn abstract material at a distance.

  • Scholarship · (2023, with Mina Sedaghatjou and colleagues), International Journal of Mathematical Education in Science and Technology.

    Teaching STEM Online at the Tertiary Level During the COVID-19 Pandemic

    The pandemic forced the question in real time: which parts of technical teaching are genuinely portable, and which have to be redesigned when the room disappears?

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Writing

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Scholarship

  • (2023, with Mina Sedaghatjou and colleagues), International Journal of Mathematical Education in Science and Technology.

    Teaching STEM Online at the Tertiary Level During the COVID-19 Pandemic

    The pandemic forced the question in real time: which parts of technical teaching are genuinely portable, and which have to be redesigned when the room disappears?

Books

  • 2nd edition · 2025 · Co-editor with John F. Beyers

    Teaching and Learning Mathematics Online

    This collection is for people teaching mathematics and statistics in online settings: not a manifesto for technology, but a practical account of the choices that make courses work. John Beyers and I brought together instructors and researchers writing about assessment, engagement, access, and the ordinary difficulty of helping people learn abstract material at a distance.

  • 1st edition · 2017 · Author

    Computational Methods for Numerical Analysis with R

    A numerical-analysis text written around R as the working environment. It follows the standard sequence—error, linear algebra, interpolation, integration, optimization, and differential equations—while keeping the algorithms close enough to run, inspect, and alter. The companion cmna package carries the examples beyond the printed page.

Software

  • Maintained · 2016–present · R · numerical analysis

    cmna

    The companion package to Computational Methods for Numerical Analysis with R. It puts the algorithms from the book in runnable, inspectable form so that approximation, error, and numerical choices can be seen rather than merely asserted.

Teaching

  • University of Maryland Global Campus

    MATH 107 — College Algebra

    A gentle introduction college-level algebra including equations, inequalities, graphing, and polynomial and exponential equations.

  • University of Maryland Global Campus

    STAT 200 — Introduction to Statistics

    This is an introduction to applied statistics. Probability, t-tests, and [latex]\chi^2[/latex]-tests are introduced. Application areas are broadly selected from across many different fields.

  • Central Michigan University

    MSA 600 — Foundations of Research Methods in Administration

    This course covers the basic research process starting with the scientific method, lit reviews, data collection, analysis, through to research writing. Through this course, a student is well-prepared to design and complete a research project in a government or business setting.

Service

  • Learning Management System Selection Project Participant · Historical institutional service

    University of Maryland Global Campus

    Contributed faculty perspective to an institutional project selecting the university’s learning-management system.