All Levels

  • STatistics Education Web (STEW) is an online resource that provides peer-reviewed lesson plans for anyone who teaches statistical concepts in their classrooms. This includes K–12 math, science, and social studies teachers, as well as teachers at the college level. STEW lesson plans follow the recommendations of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report, and many are organized around the statistical problem-solving process outlined in GAISE: formulate a statistical question; collect data; analyze data; and interpret results in context.

  • Statistics Teacher (ST) is an online journal published by the American Statistical Association (ASA) – National Council of Teachers of Mathematics (NCTM) Joint Committee on Curriculum in Statistics and Probability for Grades K-12. ST supports the teaching and learning of statistics through education articles, lesson plans, announcements, professional development opportunities, technology, assessment, and classroom resources.

    Former name:

    Statistics Teacher Network (STN) newsletter

  • International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability.

  • TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher's Corner, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, Letters to the Editor, History Corner, and Interdisciplinary.

  • TISE welcomes papers that advance our understanding of how to better teach statistics and data science using technology or how to better teach technology to future data scientists and statisticians. "Statistics" and "Data science" should be understood to include the broader category of data literacy, data fluency, data acumen and all other incarnations that apply to the preK-12, undergraduate, graduate and professional educational contexts

  • SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed.

  • The Journal of Statistics and Data Science Education (JSDSE) is an open access peer-reviewed journal published by the American Statistical Association. It disseminates accessible knowledge for the improvement of statistics education at all levels, including: elementary, secondary, post-secondary, post-graduate, continuing, and workplace education.

    Former name:

    Journal of Statistics Education