Mid-Term Course Feedback

Using student feedback early in the semester to improve teaching and learning outcomes.


Why Mid-Term Feedback Matters

Mid-term feedback is a proactive strategy that allows instructors to identify and address issues while there’s still time to make meaningful changes. Unlike end-of-term evaluations, which are summative and often too late to benefit current students, mid-term feedback can:


Best Practices for Timing

The ideal window for mid-term feedback is between weeks 5–8 of a regular semester. This timing allows students to experience enough of the course to provide meaningful input, while still leaving time for instructors to adjust their teaching strategies.

Consider aligning feedback collection with major assignments or exams to give students context for their responses.


Designing Effective Feedback Prompts

Keep surveys short and focused—3 to 5 questions is usually enough. Use open-ended prompts that encourage thoughtful responses:

Anonymous responses often yield more honest feedback. If using Canvas, consider ungraded surveys or low-stakes participation points to encourage completion.


Common Formats for Collecting Feedback

Instructors can choose from a variety of formats depending on their goals and teaching context:


Several platforms are available to A-State faculty for collecting mid-term feedback:


Analyzing Course Feedback

Once feedback is collected, take a thoughtful and balanced approach to analysis:


Responding to Feedback

Transparency and responsiveness are key to making feedback meaningful:

This builds trust and encourages future participation.


Mid-Term Feedback in the Course Design Lifecycle

Mid-term feedback plays a critical role in the Evaluation phase of the ADDIE model (Analyze, Design, Develop, Implement, Evaluate). It provides formative data that can inform:

Instructors using Backward Design or Universal Design for Learning (UDL) can also use mid-term feedback to ensure that learning goals are being met and that materials are accessible and inclusive.


Revision #2
Created 2025-08-12 20:35:40 UTC by William Murry
Updated 2025-08-12 20:50:30 UTC by William Murry