Using Data Expedition as a Formative Assessment Tool in Data Science Education: Reasoning, Justification, and Evaluation

International Journal of Emerging Technologies in Learning. 2019. Vol. 14. No. 11. P. 107–122.

Maksimenkova O. V., Neznanov A., Radchenko I.

The paper addresses the questions of data science education of current importance. It aims to introduce and justify the framework that allows flexibly evaluate the processes of a data expedition and a digital media created during it. For these purposes, the authors explore features of digital media artefacts which are specific to data expeditions and are essential to accurate evaluation. The rubrics as a power but hardly formalizable evaluation method in application to digital media artefacts are also discussed. Moreover, the paper documents the experience of rubrics creation according to the suggested framework. The rubrics were successfully adopted to two data-driven journalism courses. The authors also formulate recommendations on data expedition evaluation which should take into consideration structural features of a data expedition, distinctive features of digital media, etc.

Keywords: высшее образование, формирующее оценивание, formative assessment, науки о данных, higher education, data science, Data expeditions, collaborative technologies, дата экспедиция, экспедиция данных

Publication based on the results of: Discovering and Representing Knowledge for Recommender Systems (2019)