BJET Special Section CFP - Data Science Education Across the Disciplines

Joshua Rosenberg

2021/08/13

With Shiyan Jiang and Victor Lee, I am editing a special section of the British Journal of Educational Technology on Data Science Education Across the Disciplines.

Here is an overview:

Data science is often described as the integration of computational and technological tools, statistical knowledge, and disciplinary expertise, and is a rapidly growing topic for dedicated study during post-secondary education (e.g., National Academies of Science, Engineering, & Medicine, 2018). Increasingly, we are seeing new efforts are underway in many places to bring data science to primary and secondary education. Yet, it is still unclear what should constitute a data science education for these grade levels and how data science would be integrated into a very densely packed curriculum. Educational technology is central to these questions, as digital tools are implicated in the production, collection, and analysis of data (Jiang & Kahn, 2020; Lee & Wilkerson, 2018). This special section of the British Journal of Educational Technology (BJET) will showcase and critically examine current approaches using technology to support the teaching and learning of primary and secondary school data science education within and across multiple disciplines.

This special section on data science education across the disciplines will feature an international collection of papers on topics including but not limited to the following:

Key dates include abstract submissions due August 31, 2021 and full paper submissions being due November 15, 2021, with the papers expected to be published July, 2022.

More information can be found on BJET’s website here