Abstract
Statistical skills are becoming more important for graduates in the STEM sector. However, in many courses in these fields, statistics is not integrated in the rest of the curriculum, even though such an approach can be very beneficial for acquiring such skills. Integrating statistics in the rest of the curriculum can facilitate so called deep learning to enhance a relational and abstract understanding of statistics with the rest of their learning. This paper discusses some of the few available studies that tested the effect of integrating statistics in biology undergraduate classes. It consequently discusses how such an approach would align with the Abertay Graduate attributes and the Abertay Employability Strategy.
| Original language | English |
|---|---|
| Title of host publication | Professional practice in higher education teaching |
| Editors | Martin Watson |
| Place of Publication | Dundee |
| Publisher | Abertay University Press |
| Chapter | 7 |
| Pages | 41-46 |
| Number of pages | 6 |
| Volume | 5 |
| ISBN (Print) | 1899796302 |
| Publication status | Published - Aug 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- Statistics
- Math anxiety
- Employability skills
- Integrated learning
- Graduate attributes
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