- Title
- A study to identify requirements for a workplace learning environment in data science
- Creator
- Fernando, Chandrika; Rajapakse, Chathura; Athauda, Rukshan
- Relation
- International Research Conference on Smart Computing and Systems Engineering (SCSE 2024). Proceedings of the International Research Conference on Smart Computing and Systems Engineering (SCSE 2024) (Colombo 4 April 2024)
- Publisher Link
- http://dx.doi.org/10.1109/SCSE61872.2024.10550616
- Publisher
- IEEE
- Resource Type
- conference paper
- Date
- 2024
- Description
- Organizations are realizing the importance of fostering a data-driven culture and provide their employees with the skills needed to successfully traverse the complex field of data science, as the need for data-driven insights and decision-making grows. As a result, it is now paramount to provide learning environments that help employees acquire the essential data science skills they need for their jobs. This paper presents a study that identified 10 significant features needed for a data science learning environment in the workplace. The study took a hybrid approach with a literature survey as well as analysis of data from a questionnaire from 100 data science practitioners. The results from both methods were incorporated to identify the key features. These identified requirements can play a crucial role in the design of workplace learning environments for data science in future.
- Subject
- data science; data science learning environment; smart learning environment; workplace learning; SDG 4; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1512995
- Identifier
- uon:56689
- Identifier
- ISBN:9798350375695
- Language
- eng
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