Journal of Statistics and Data Science Education

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 data science and statistics education at all levels, including: elementary, secondary, post-secondary, post-graduate, continuing, and workplace education. Although JSDSE is a journal of the American Statistical Association, submissions are welcome from educators, practitioners, and researchers around the world.

Article types include, but are not limited to:

Original Research Articles:

• Curricular reform

• Innovative methods of instruction or assessment

• Research (including case studies) on students’ understanding of data science, statistics, and probability

• Research on the teaching of statistics and data science and on attitudes and beliefs about statistics and data science

• Creative and tested ideas (including experiments and demonstrations) for teaching statistics, data science, and probability

• Articles that describe how students can develop data fluency and data acumen

• Articles that describe how students learn computational techniques and workflows, undertake the entire data analysis cycle, and master a broader set of learning outcomes

• Articles that help bridge the gap between traditional statistics, computational science, and domain applications in data science

• Use of active learning and student centered pedagogies (e.g., cooperative learning and projects, growth mindset)

• Statistical and data literacy

• Data ethics

• Distance education and online learning

Overviews and reflective essays:

• Scholarly overview of the literature on topics in statistics and data science education

• Reflective essays by scholars with extensive experience in data science and statistics education

Reviews of software, books, and teaching materials:

• Reviews of teaching materials must describe actual experiences using the materials

Datasets and Stories:

• Description of the pedagogical uses of multivariate dataset(s) (including discussions of achievable learning outcomes, potential pitfalls, helpful teaching tips), with the associated dataset(s) available for download with the manuscript for instructional use in classes and further analysis

Research in K-12 Education:

• Research related to the teaching, learning, and assessment of statistics and data science in K-12 settings

Statistics and Data Science Education in the Health Sciences:

• Teaching and learning of statistics and data science in the health sciences

• Biostatistics and data science literacy, competency, applications, and assessment

• Use of real world health data in the classroom

• Biostatistics curriculum development and reform

Brief Communications:

• Short articles (generally no more than six pages) that are particularly timely or relevant

• Short articles with potential for immediate positive impact

• Short articles that discuss a novel teaching method in statistics and data science education

Special Issues and Review Articles

Review articles in all of the above areas are welcome, as are proposals for special issues, which should be discussed with the Editor-in-Chief in the first instance.

Article Publishing Charges (APCs)

The ASA and Taylor & Francis are committed to making open access publishing as accessible as possible for authors. Please note that there are no fees to submit or be accepted by the journal.

Peer-Review Policy

All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees.

All peer review is doubly anonymous.

Publishing Ethics

The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of Committee of Publications Ethics (COPE) and utilizes Similarity Check via CrossRef for all Journals. More information on our ethical standards and policies can be found here: http://authorservices.taylorandfrancis.com/ethics-for-authors/. Our Appeals and Complaints policy can be found here: https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.

All articles will be made freely and permanently available online through gold open access publication.

Read the Instructions for Authors for information on how to submit your article.

ASA Statement on Justice, Equity, Diversity, and Inclusion (JEDI)

The leadership of the American Statistical Association commits to strengthening our professional community by making it more just, equitable, diverse, and inclusive. We affirm that our mission, Promote the Practice and Profession of Statistics, can be realized only by fully embracing justice, equity, diversity, and inclusivity in all of our operations. Individuals embody many traits, so the leadership will work with the members of ASA to create and sustain responsive, flourishing, and safe environments that support individual needs, stimulate intellectual growth, and promote professional advancement for all. We commit to these objectives:

• Learn from our members and others how to identify and overcome systemic racism and hindering biases of any kind

• Critically reappraise and improve the effectiveness of our JEDI efforts

• Identify and develop resources for individuals and organizations in our professional community to enable growth and appreciation for cultural humility

• Share openly our diversity and inclusion efforts and the solutions we have implemented