Abstract
Background: It has become increasingly important to collect institutional data to measure and evaluate teaching and assessment improvements and to evidence quality assurance for both internal policy obligations and external review (TEQSA). However, how this data is presented, reported and targeted to individuals at various levels is of equal importance in ensuring that the correct decisions are made to maximise the student learning experience.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Australian Conference on Science and Mathematics Education (22nd UniServe Science Conference): The 21st Century Science and Maths Graduate: 28 - 30 September 2016, University of Queensland, Brisbane, Queensland |
| Publisher | UniServe Science |
| Pages | 22-23 |
| Number of pages | 2 |
| ISBN (Print) | 9780987183453 |
| Publication status | Published - 2016 |
| Event | UniServe Science Conference - Duration: 1 Jan 2017 → … |
Conference
| Conference | UniServe Science Conference |
|---|---|
| Period | 1/01/17 → … |
Keywords
- education, higher
- data processing
- quality assurance
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