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

• Main Authors: Olga Maksimenkova, Alexey Neznanov, Irina Radchenko
• Format: Article
• Language: English
• Published: Kassel University Press 2019-06-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: data expedition; data science; collaborative technologies; formative assessment; higher education
• Online Access: https://online-journals.org/index.php/i-jet/article/view/10202

The paper addresses the questions of data science education of current im-portance. 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 ru-brics as a power but hardly formalizable evaluation method in application to digi-tal media artefacts are also discussed. Moreover, the paper documents the experi-ence 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.