Do Data Scientists Dream About Their Skills’ Assessment? – Transforming a Competition Platform Into an Assessment Platform
We present a platform for automatic assessment of technical data science skills (hard skills) and competencies that help to apply those technical skills in practice (soft skills). The platform serves so-called assessment platform tasks that resemble data-focused tasks typical for online data science competitions. Actually, these tasks are designed based on international conference competitions that we have been organizing on our competition platform knowledgepit.ai. The main idea relies on our observation that the given person’s behavior during a competition (dynamics of submitting solutions, activity on competition forum, etc.) can be correlated with his/her soft competencies. Accordingly, our goal is to translate the specifics of international conference competitions into a framework that investigates the behaviors of data science job candidates, employees who want to improve their work in data science projects, students who wish to build their future professional careers on AI solutions, etc. We claim that such behaviors – if properly measured based on solving our assessment platform tasks – can effectively indicate both hard and soft types of competencies.
Authors
- Agnieszka Chądzyńska-Krasowska (ORCID: https://orcid.org/0000-0002-1768-9620)
- Andrzej Janusz (ORCID: https://orcid.org/0000-0002-9763-1399)
- Jacek Kamiński (ORCID: https://orcid.org/0000-0001-7514-8761)
- Dominik Ślȩzak (ORCID: https://orcid.org/0000-0003-2453-4974)
- Maciej Świechowski (ORCID: https://orcid.org/0000-0002-8941-3199)
Institutions
- Polish-Japanese Academy of Information Technology (PL)
Publication Details
- Published
- 2024-12-15
- DOI
- https://doi.org/10.1109/bigdata62323.2024.10825378
- Citations
- 2
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 1.06