Assessment and feedback
Effective assessment and feedback
Well-designed assessment schemes not only measure learning effectively but also influence student motivation and behaviour. When students perceive assessment to be authentic, fair and relevant, they are motivated to perform well. Click below to read more about the Melbourne Framework for Educational Excellence’s approach to this topic.
CSHE resources
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General principles for effective feedback
What makes good feedback? A general framework for best practice.
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Interactive Oral Assessments
Interactive Oral Assessments (IOAs) offer a dynamic and authentic approach to learning and assessment that can be effectively applied across a range of disciplines.
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Implementing Interactive Oral Assessments
Frequently Asked Questions (FAQs) for Subject Coordinators Delivering Interactive Oral Assessments.
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End of subject assessment tasks and feedback opportunities
Three key points that might help to constructively align the ways that feedback is offered, received and acted upon.
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Assessment Principles to Support Student Wellbeing
Core principles to guide assessment practices that prioritise student engagement and wellbeing while not compromising academic rigour.
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Generative AI in T&L at the University of Melbourne
FAQs about Generative AI in teaching and learning at the University of Melbourne.
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Constructing effective assessment feedback comments
Evidence-based guidelines on how to construct feedback that can support learner sensemaking, agency and impact.
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Assessment considerations in moving from closed-book to open-book exams
Exams should allow for valid, reliable evidence of students’ achievement of subject learning outcomes.
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Giving and receiving good in-class feedback
This short guide highlights the most important considerations for giving and receiving effective in-class feedback.
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Multiple choice questions: An introductory guide
This Guide focuses on addressing issues with MCQs and helping to make the use of MCQs in assessment of learning more valid, reliable and productive.
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Effective feedback in digital learning environments
Feedback can be challenging when subjects are delivered in digital learning environments, as there are fewer opportunities for spontaneous feedback.
Other resources
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Generative AI in teaching and learning
The University's central hub for guides and resources on using generative AI in teaching and learning
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Assessment Hub
Brings together practical guidance, worked examples and support services on designing assessment, choosing assessment tasks, grading and giving feedback, and making assessment inclusive