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You are here: Home / Additional Features / Previous Features / Submissions Wanted for Teaching Statistics Special Issue

Submissions Wanted for Teaching Statistics Special Issue

March 1, 2020 Leave a Comment

Special Issue Timeline
Submission deadline
April 25
Referee reports to authors
June 30
Revised submission deadline
August 31
Proofs to authors
October 15
Proof corrections deadline
October 22
Issue compilation
October 29
Issue approved
November 7
To printer and published online
November 14
Published in print
November 21

Submissions are being sought for a special issue of Teaching Statistics, which will be published in 2020 as an e-book and titled Teaching Data Science and Statistics: Senior School or Introductory Tertiary.

Edited by Helen MacGillivray, Robert Gould, and Jim Ridgway, a variety of chapters are planned, with a small number of invited chapters, but most oriented to classroom-ready ideas, case studies, and/or materials embodying good teaching practice. Each of the latter types of chapter should focus on one or more aspects of statistical data investigations and data science.

Authors will find valuable guidance in Unit 1 of the framework of the International Data Science for School Project (IDSSP). Case study approaches should embody classroom-ready implementation, with a rich data context including a number of variables.

Chapters should be between 2,000 and 4,000 words, and no more than 5,000 words, including references, figures, and any appendixes. Resources such as data, code, notes for teachers/instructors, and videos may be placed in an online repository. Authors also may wish to provide short, dynamic videos.

Teaching Statistics is published by Wiley on behalf of the Teaching Statistics Trust. It is intended for all those who teach statistics to students aged up to 19 years. The emphasis is on good practice in teaching statistics and statistical thinking in any context. Teaching Statistics seeks to inform, enlighten, stimulate, guide, correct, inspire, entertain, and encourage. Teaching Statistics is a refereed journal, with double-blind reviewing.

Filed Under: Previous Features Tagged With: journal, Refereed, statistics, submissions, teaching, Wiley

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