SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free.
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 encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere. Further information and guidelines for authors are available below.
Manuscripts should be sent to co-editor Maxine Pfannkuch by email as an attached document in Word format. These files must be produced using the Template available online. Full details regarding submission are given in the Guidelines for Authors below.
(Please submit all new papers and inquiries to Maxine Pfannkuch.)
Lawrence M. Lesser
Nick Broers, Joan Garfield, Randall Groth, John Harraway, Tim Jacobbe, Jennifer Kaplan, Aisling Leavy, Hollylynne Stohl Lee, Michele Millar, M. Gabriella Ottaviani, Dave Pratt, Ernesto Sanchez, and Jane Watson.