Course Feedback Survey Results
This dataset aggregates detailed student feedback on university courses, capturing both quantitative ratings and qualitative comments for curriculum review and instructional improvement. It includes course, instructor, and student context, making it ideal for analyzing teaching effectiveness, identifying curriculum gaps, and prioritizing updates based on real student experiences.
Sample rows
preview · 8 of 60 rows · all 17 columns| feedback_idinteger | termstring | overall_ratinginteger | would_recommendboolean | student_yearstring | student_idstring | course_idstring | course_namestring | instructor_idstring | instructor_namestring | feedback_datedate | content_quality_ratinginteger | instructor_effectiveness_ratinginteger | workload_ratinginteger | commentsstring | suggested_improvementsstring | student_majorstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Fall 2023 | 5 | true | Freshman | S2023001 | CS101 | Introduction to Computer Science | I001 | Dr. Alicia Carter | 2023-12-05 | 5 | 5 | 3 | Great introductory course, very clear explanations. | Maybe add more real-world projects. | Computer Science |
| 2 | Fall 2023 | 4 | true | Sophomore | S2023155 | MATH201 | Linear Algebra | I003 | Prof. Kevin Li | 2023-12-04 | 4 | 4 | 4 | Challenging but rewarding. | Office hours could be more frequent. | Mathematics |
| 3 | Spring 2023 | 4 | true | Junior | S2023127 | ENG150 | English Literature I | I011 | Ms. Tara Singh | 2023-05-10 | 5 | 3 | 3 | Interesting readings, but lectures sometimes felt rushed. | blank | English |
| 4 | Spring 2023 | 3 | false | Sophomore | S2023078 | BIO110 | General Biology | I009 | Dr. Emily Zhang | 2023-05-11 | 3 | 4 | 4 | Labs were sometimes disorganized. | More structure in lab sessions. | Biology |
| 5 | Fall 2023 | 5 | true | Senior | S2023009 | PSY200 | Developmental Psychology | I014 | Dr. Marcus Green | 2023-12-03 | 5 | 5 | 2 | Very engaging lectures! | blank | Psychology |
| 6 | Summer 2023 | 4 | true | Junior | S2023242 | HIST210 | Modern World History | I017 | Dr. Samuel Lee | 2023-08-12 | 4 | 5 | 3 | Loved the interactive discussion sessions. | Assign fewer readings per week. | History |
| 7 | Fall 2023 | 3 | false | Freshman | S2023210 | PHYS101 | Physics I | I004 | Prof. Dana Smith | 2023-12-06 | 3 | 2 | 5 | Workload was intense and lectures were hard to follow. | More support in problem-solving sessions. | Engineering |
| 8 | Fall 2023 | 4 | true | Sophomore | S2023104 | CHEM105 | General Chemistry | I005 | Dr. Helen Taylor | 2023-12-02 | 4 | 5 | 4 | blank | blank | Chemistry |
| 9 | Spring 2023 | 2 | false | Junior | S2023090 | BUS210 | Principles of Management | I006 | Mr. Robert Mills | 2023-05-14 | 2 | 3 | 2 | Content was repetitive. | Include more case studies. | Business Administration |
| 10 | Fall 2023 | 5 | true | Freshman | S2023022 | ART100 | Fundamentals of Art | I008 | Ms. Joan Rivers | 2023-12-01 | 5 | 4 | 2 | Loved the hands-on activities. | blank | Art |
| 11 | Spring 2023 | 4 | true | Sophomore | S2023167 | CS102 | Data Structures | I002 | Prof. Michael Evans | 2023-05-15 | 4 | 3 | 4 | Tough course, but I learned a lot. | Additional tutorials would help. | Computer Science |
| 12 | Summer 2023 | 3 | true | Senior | S2023218 | PHIL101 | Introduction to Philosophy | I012 | Dr. Olivia Brooks | 2023-08-15 | 3 | 4 | 2 | blank | Offer more group debates. | Philosophy |
| 13 | Fall 2023 | 4 | true | Junior | S2023135 | ECON202 | Microeconomics | I019 | Mr. Victor Santos | 2023-12-03 | 4 | 4 | 3 | Good real-world examples. | blank | Economics |
| 14 | Fall 2023 | 3 | false | Graduate | S2023112 | MATH201 | Linear Algebra | I003 | Prof. Kevin Li | 2023-12-04 | 3 | 3 | 3 | Material was hard to follow at times. | More visual aids would help. | Statistics |
| 15 | Summer 2023 | 5 | true | Senior | S2023097 | HIST210 | Modern World History | I017 | Dr. Samuel Lee | 2023-08-11 | 5 | 5 | 2 | Favorite class this year. | blank | Political Science |
| 16 | Spring 2023 | 2 | false | Freshman | S2023188 | BIO110 | General Biology | I009 | Dr. Emily Zhang | 2023-05-12 | 2 | 2 | 4 | Too much memorization. | Focus more on concepts. | Pre-Med |
| 17 | Fall 2023 | 4 | true | Sophomore | S2023223 | ART100 | Fundamentals of Art | I008 | Ms. Joan Rivers | 2023-12-02 | 4 | 3 | 3 | blank | More feedback on assignments. | Graphic Design |
| 18 | Fall 2023 | 4 | true | Freshman | S2023150 | CS101 | Introduction to Computer Science | I001 | Dr. Alicia Carter | 2023-12-05 | 4 | 4 | 3 | Lectures were engaging. | blank | Electrical Engineering |
| 19 | Fall 2023 | 2 | false | Junior | S2023045 | PHYS101 | Physics I | I004 | Prof. Dana Smith | 2023-12-06 | 3 | 2 | 5 | Found the pace too fast. | Offer more tutorials. | Physics |
| 20 | Fall 2023 | 3 | true | Other | S2023204 | CHEM105 | General Chemistry | I005 | Dr. Helen Taylor | 2023-12-03 | 3 | 3 | 4 | blank | blank | Environmental Science |
What the 60 rows show
from the 60-row sample- 72%would_
recommend = true - 4median overall_
rating - 4median content_
quality_ rating - 4median instructor_
effectiveness_ rating - 3median workload_
rating
Median 4, from 2 to 5.
- string 10
- integer 5
- date 1
- boolean 1
Columns
17 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 10 columns | |||
student_id | string | Anonymized unique identifier for the student submitting feedback | S2023001 |
course_id | string | Unique identifier for the course being reviewed | CS101 |
course_name | string | Official name of the course being reviewed | Linear Algebra |
instructor_id | string | Unique identifier for the instructor of the courseoptional | I001 |
instructor_name | string | Name of the instructor for the courseoptional | Dr. Alicia Carter |
term | string | Academic term or semester in which the course was taken (e.g., Fall 2023)4 terms | Fall 2023 |
comments | string | Open-ended feedback or suggestions provided by the studentoptional | Very engaging lectures! |
suggested_improvements | string | Student suggestions for improving the course or curriculumoptional | Focus more on concepts. |
student_major | string | Declared major of the student providing feedbackoptional | Computer Science |
student_year | string | Academic year of the student (e.g., Freshman, Sophomore, Junior, Senior, Graduate)6 values · optional | Freshman |
| Numbers 5 columns | |||
feedback_id | integer | Unique identifier for each feedback submissionunique | 1 |
overall_rating | integer | Overall rating of the course (typically on a 1-5 scale)1 to 5 | 5 |
content_quality_rating | integer | Rating of the quality and relevance of course content (1-5 scale)1 to 5 | 5 |
instructor_effectiveness_rating | integer | Rating of the instructor's effectiveness (1-5 scale)1 to 5 | 5 |
workload_rating | integer | Rating of the course workload (1-5 scale, where 1=too light, 5=too heavy)1 to 5 | 3 |
| Dates and times 1 column | |||
feedback_date | date | Date when the feedback was submitted | 2023-12-05 |
| True or false 1 column | |||
would_recommend | boolean | Indicates if the student would recommend the course to others | true |
Use it for
An education dashboard
The would_
recommend rate, overall_ rating by term and a breakdown of student_ year. Excel, Power BI or Tableau. Why do 43 of 60 rows have would_
recommend = true? A class exercise
Hand out the rows and one question. Everyone works from the same 60 rows.
- Rows6015Fall 202324Fall 202343Spring 2…
A software demo
Believable rows with student_
id, course_ id and course_ name to fill a screen in front of a buyer.
This dataset60 rows17 columns
Yours1,000 rows17 columns
blueprint · course-feedback-survey-results
Behind this dataset
Same schema. As many rows as you need.
These 60 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
Rules it was built with
- Collect ratings for content, delivery, materials
- Text responses must be anonymized
- Responses must be linked to course IDs
- Flag courses with average rating <3.0
- Summarize most mentioned improvement areas
Open the blueprint in Data Factory
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- course-feedback-survey-results