Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice
arXiv:1807.03750v13 citations
Originality Synthesis-oriented
AI Analysis
This work provides incremental insights for educators in data science to improve teaching practices.
The paper addresses the challenge of adapting data science education to accommodate learners from diverse backgrounds, based on experiences from teaching a postgraduate module, and offers lessons for educators.
Data Science is currently a popular field of science attracting expertise from very diverse backgrounds. Current learning practices need to acknowledge this and adapt to it. This paper summarises some experiences relating to such learning approaches from teaching a postgraduate Data Science module, and draws some learned lessons that are of relevance to others teaching Data Science.