Using Data Expedition as a Formative Assessment Tool in Data Science Education: Reasoning, Justification, and Evaluation
| Autor: | Olga Maksimenkova, Irina Radchenko, Alexey Neznanov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Higher education
lcsh:T58.5-58.64 business.industry Computer science lcsh:Information technology formative assessment General Engineering Rubric Data science Education Digital media Formative assessment data expedition collaborative technologies higher education Evaluation methods Journalism data science business lcsh:L lcsh:Education |
| Zdroj: | International Journal of Emerging Technologies in Learning (iJET), Vol 14, Iss 11, Pp 107-122 (2019) |
| ISSN: | 1863-0383 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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