Course Evaluation: Teaching Effectiveness & Workload
Collects structured student feedback on instructor effectiveness, course materials, workload balance, and learning outcomes to inform end-of-term course improvements at the undergraduate or graduate level.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
How was this course primarily delivered this term?
- In-person
- Hybrid
- Online (synchronous/live)
- Online (asynchronous/self-paced)
- Other
Overall, how effective was the instructor this term?
How helpful were the required readings and textbooks for this course?
Outside of scheduled class time, approximately how many hours per week did you spend on this course?
- 0–2 hours
- 3–5 hours
- 6–8 hours
- 9–11 hours
- 12–15 hours
- 16 or more hours
How fair was the grading in this course?
What aspect of this course most supported your learning?
What is your age?
- 17 or younger
- 18–20
- 21–24
- 25–34
- 35 or older
- Prefer not to say
Thank you for completing this survey. Your feedback is anonymous and will be used to improve this course for future terms.
How often did this class meet live (in-person or online) each week?
- Once
- Twice
- Three times
- Four or more
- Not applicable (fully asynchronous)
The instructor communicated course content clearly.
How helpful were the lecture slides or notes?
Compared to your other courses this term, the workload for this course was:
- Much lighter
- Slightly lighter
- About the same
- Slightly heavier
- Much heavier
I achieved the intended learning outcomes for this course.
What, if anything, should be improved for future terms?
What is your gender identity?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
The instructor was well-prepared for class sessions.
How helpful were the online resources (e.g., LMS content, videos, supplementary links)?
How would you describe the pace of this course?
- Much too slow
- Somewhat too slow
- About right
- Somewhat too fast
- Much too fast
How likely are you to recommend this course to another student?
Based on the feedback you've shared, we'd like to explore a few of your responses in more detail.
What is your current year or level of study?
- First year
- Second year
- Third year
- Fourth year
- Fifth year or beyond
- Graduate
- Other
The instructor was responsive to student questions and concerns.
How well did the course materials support the stated learning objectives?
Rank the following activities by how much time you spent on them outside of class, from most to least time.
- Reading or reviewing materials
- Completing assignments or homework
- Studying for exams or quizzes
- Working on projects or papers
- Participating in study groups or discussions
Which best describes your primary field of study?
- Arts & Humanities
- Social Sciences
- Natural Sciences
- Engineering
- Business
- Health & Medicine
- Education
- Computer Science/IT
- Other
The instructor provided timely and useful feedback on assignments.
What is your enrollment status this term?
- Full-time
- Part-time
- Prefer not to say
Are you a domestic or international student?
- Domestic student
- International student
- Prefer not to say
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond static ratings with an AI follow-up interview that probes deeper into specific student responses (e.g., clarifying what 'improved' or 'unclear' feedback actually means) instead of leaving low scores unexplained.
- Separately measures instructor effectiveness (clarity, preparedness, responsiveness, feedback timeliness), materials helpfulness (readings, slides, online resources), and workload/pace, so end-of-term reports can pinpoint exactly what needs to change.
- Includes a ranking question on how out-of-class time is actually spent and a workload-hours dropdown, giving administrators concrete workload data rather than a single generic 'workload' rating.
- Captures demographic and enrollment context (year of study, field of study, enrollment status, domestic/international) so results can be segmented, alongside open-text questions on what supported learning and what should improve.
Jotform
Online Course Instructor Feedback Form TemplateA ready-to-use, customizable form focused on instructor feedback for online courses, built on Jotform's drag-and-drop form builder. It's fielding-ready but appears scoped mainly to instructor performance rather than the fuller mix of materials, workload, and outcomes. Like most Jotform templates, it's a static question set with no adaptive follow-up logic.
What it does well
- Easy to customize within Jotform's widely-used form builder
- Focused specifically on instructor feedback, which keeps it simple to deploy
- Benefits from Jotform's broad integrations and form-sharing ecosystem
Where it falls short
- No adaptive AI follow-up questioning — every respondent sees the same fixed fields
- No automated per-response quality scoring or AI-generated analysis report
- Narrower scope (instructor-only) versus a full teaching effectiveness, materials, and workload evaluation
QuestionPro
Course evaluation sample questions and survey templateA sample-questions-and-template page covering course and teacher evaluation, useful as a question bank and starting point for building a survey in QuestionPro. It reads partly as a guide with example items rather than a single polished, ready-to-field instrument. Standard multiple-choice/rating format with no mention of adaptive interviewing.
What it does well
- Broad sample question bank covering both course and teacher evaluation angles
- Backed by QuestionPro's established survey platform and analytics dashboard
- Flexible for researchers wanting to pick and choose items to build their own version
Where it falls short
- Presented as sample questions/guide content rather than one turnkey, fielding-ready template
- No adaptive AI follow-up interviews or voice-based interviewing
- No transparent, published prompt methodology or automated quality scoring of open responses
SurveyMonkey
Training Course Evaluation Template: Questions & Feedback GuidePositioned as a general training-course evaluation template with guidance on question design, more oriented toward corporate/professional training than undergraduate or graduate academic courses. It's usable as a static survey but the framing and question guide are less tailored to academic instructor effectiveness and grading fairness. No adaptive interviewing is offered.
What it does well
- Backed by SurveyMonkey's mature survey infrastructure and reporting dashboards
- Includes guidance/context on question design, not just a bare question list
- Easy to launch quickly for organizations already on SurveyMonkey
Where it falls short
- Framed around workplace/training evaluation rather than academic course evaluation specifics like grading fairness or learning outcomes
- Fixed, static question set with no adaptive AI probing of individual student responses
- No AI-generated qualitative analysis or automated response quality scoring
SurveySparrow
Sample Course Evaluation Form TemplateA conversational-style, fielding-ready course evaluation form built on SurveySparrow's chat-like UI, covering general course feedback. It leans toward a friendlier presentation layer rather than deep, structured coverage of instructor effectiveness, materials, and workload separately. No adaptive interviewing or voice-based follow-up is indicated.
What it does well
- Conversational UI style may improve completion rates versus traditional grid forms
- Ready to deploy quickly for basic course feedback collection
- Part of SurveySparrow's broader survey and NPS tooling ecosystem
Where it falls short
- Conversational format is still a fixed script — no dynamic AI-generated follow-up questions based on what a student actually says
- No automated quality scoring of open-text responses or AI-authored summary reports
- Less granular breakdown of materials (readings vs. slides vs. online resources) than a dedicated teaching-effectiveness instrument
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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