Learning Outcomes:
Having successfully completed this module, you should be able to:
1. Critically reflect and evaluate the application of assessment and feedback approaches in current and future practice
2. Explore inclusive assessment and feedback approaches and how they may support diverse student cohorts
3. Analyse and synthesise the relationship between key assessment principles in the context of higher education, i.e. validity, reliability, diversity, academic integrity, transparency, etc.
4. Interrogate the role of Artificial Intelligence (AI) on assessment approaches
5. Devise an enhancement or adaptation to assessment and/or feedback approaches in your practice, utlising the scholarly literature to support your plan.
Indicative Module Content:
The themes in the module commence with the common purposes of assessment and feedback (National Forum 2017).
It is then organised around the principles of assessment in higher education (Bloxham and Boyd (2008), UCD T&L (2019).
It shall then explores an array of themes: assessment equity and diversity, inclusive assessment, assessment load, feedback approaches, context of assessment, academic integrity, grading, programmatic approach to assessment, online assessment and feedback approaches.