Education
15 columns
200 rows
8 formats

Student Curriculum Progress Records

This dataset provides detailed records of individual student progress through curricular modules, including completion status, grades, time spent, and feedback. It enables educators and administrators to analyze learning effectiveness, identify areas for improvement, and monitor student engagement across different modules and instructors.

last updated 20 Aug 2025
by GoMask

The brief that made it

Tracking student progress and identifying at-risk learners

Sample rows

preview · 8 of 200 rows · all 15 columns

student_idstring	completion_statusstring	time_spent_minutesinteger	instructor_idstring	student_namestring	student_emailstring	module_idstring	module_namestring	module_categorystring	enrollment_datedate	completion_datedate	gradefloat	attemptsinteger	feedbackstring	instructor_namestring
S001	completed	1200	I101	Olivia Martinez	olivia.martinez@univ.edu	M10001	Introduction to Biology	Science	2023-09-15	2023-11-30	88.2	1	The module was engaging and well-structured.	Dr. Ava Thompson
S002	in_progress	870	I102	Ethan Chen	ethan.chen@univ.edu	M10002	World History I	Humanities	2023-09-17	blank	blank	2	I wish there were more visual aids.	Prof. Samuel Lee
S003	not_started	0	I103	Charlotte King	charlotte.king@univ.edu	M10003	Calculus Fundamentals	Mathematics	2023-10-01	blank	blank	1	blank	Dr. Rajesh Patel
S004	completed	980	I104	Liam Nguyen	liam.nguyen@univ.edu	M10004	English Literature	Humanities	2023-08-25	2023-10-20	75.7	2	Enjoyed the readings but found essays challenging.	Dr. Rebecca Allen
S005	in_progress	675	I105	Mia Johnson	mia.johnson@univ.edu	M10005	Computer Science Basics	Technology	2023-09-21	blank	blank	1	blank	Prof. Amanda Wu
S006	completed	1550	I101	James Davis	james.davis@univ.edu	M10006	Organic Chemistry	Science	2023-10-05	2023-12-15	64.5	3	Difficult concepts, but helpful instructor.	Dr. Ava Thompson
S007	completed	820	I106	Sophia Rivera	sophia.rivera@univ.edu	M10007	Modern Art Appreciation	Arts	2023-09-10	2023-10-30	93.1	1	Loved the interactive activities.	Prof. Michael Bryant
S008	in_progress	540	I107	Benjamin Lee	benjamin.lee@univ.edu	M10008	Environmental Science	Science	2023-08-28	blank	blank	1	Interesting content, looking forward to more.	Dr. Helen Carter
S009	completed	1100	I108	Amelia Clark	amelia.clark@univ.edu	M10009	Fundamentals of Economics	Business	2023-09-14	2023-11-10	81.6	1	Clear explanations and good examples.	Dr. Peter Edwards
S010	not_started	0	I109	Lucas Scott	lucas.scott@univ.edu	M10010	Introduction to Psychology	Social Science	2023-08-30	blank	blank	1	blank	Prof. Karen Foster
S011	completed	910	I103	Emma Green	emma.green@univ.edu	M10011	Statistics and Probability	Mathematics	2023-10-15	2023-12-05	72.3	2	Challenging but rewarding.	Dr. Rajesh Patel
S012	in_progress	440	I110	William Perez	william.perez@univ.edu	M10012	Principles of Marketing	Business	2023-09-18	blank	blank	1	blank	Prof. Linda Simmons
S013	completed	700	I106	Harper Young	harper.young@univ.edu	M10013	Digital Photography	Arts	2023-09-11	2023-10-25	95.8	1	Great practical assignments.	Prof. Michael Bryant
S014	not_started	0	I109	Ella Adams	ella.adams@univ.edu	M10014	Political Science I	Social Science	2023-09-22	blank	blank	1	blank	Prof. Karen Foster
S015	completed	850	I103	Henry Brooks	henry.brooks@univ.edu	M10015	Algebra and Geometry	Mathematics	2023-09-08	2023-11-03	78.9	2	Helpful review materials.	Dr. Rajesh Patel
S016	in_progress	690	I105	Grace Evans	grace.evans@univ.edu	M10016	Introduction to Coding	Technology	2023-09-19	blank	blank	2	Enjoying the interactive projects.	Prof. Amanda Wu
S017	completed	1030	I108	Jack Morgan	jack.morgan@univ.edu	M10017	Basic Accounting	Business	2023-09-25	2023-11-28	84.4	1	Module was easy to follow.	Dr. Peter Edwards
S018	in_progress	310	I111	Avery Turner	avery.turner@univ.edu	M10018	Spanish Language I	Languages	2023-09-27	blank	blank	1	Audio lessons are helpful.	Prof. Maria Lopez
S019	not_started	0	I101	Ella Foster	ella.foster@univ.edu	M10019	Physics I	Science	2023-09-05	blank	blank	1	blank	Dr. Ava Thompson
S020	completed	620	I106	Alexander Sanders	alex.sanders@univ.edu	M10020	Creative Writing	Arts	2023-09-29	2023-11-12	91.7	1	Excellent prompts and feedback.	Prof. Michael Bryant

What the 200 rows show

from the 200-row sample

Not_started (completion status) stands out: mean time_spent_minutes is 0.0, against 999.5 for the rest.

717median time_spent_minutes
18module categories
51instructor names
83.7median grade
1median attempts

Mean time_spent_minutes by completion_status200 rows

time_spent_minutes200 rows, in bands of 500

Median 717, from 0 to 2,540.

instructor_id192 rows with a value · 8 left blank

I01312
I01211
I01410
I0119
I0169
I0158
I0198
I0088
I0098
I1017

15 columns by typefrom the column list below

string 10
integer 2
float 1
date 2

Columns

15 columns in three groups

blueprint · 15 columns
column	type	description	example
Text 10 columns
`student_id`	string	Unique identifier for each student	S001
`student_name`	string	Full name of the student	Olivia Martinez
`student_email`	string	Email address of the student	olivia.martinez@univ.edu
`module_id`	string	Unique identifier for the curricular module	M10001
`module_name`	string	Name of the curricular module	Introduction to Biology
`module_category`	string	Category or subject area of the curricular moduleoptional	Science
`completion_status`	string	Status indicating if the module is completed, in progress, or not startedcompleted · in_progress · not_started	completed
`feedback`	string	Optional feedback or comments provided by the student about the moduleoptional	Group projects underway.
`instructor_id`	string	Unique identifier for the instructor responsible for the moduleoptional	I101
`instructor_name`	string	Full name of the instructor responsible for the moduleoptional	Dr. Ava Thompson
Numbers 3 columns
`grade`	float	Final grade or score achieved by the student in the module0 to 100 · optional	88.2
`time_spent_minutes`	integer	Total time spent by the student on the module, in minutes0 or more	1200
`attempts`	integer	Number of attempts made by the student to complete the module0 or more · optional	1
Dates and times 2 columns
`enrollment_date`	date	Date when the student enrolled in the module	2023-09-15
`completion_date`	date	Date when the student completed the module (if completed)optional	2023-11-30

Use it for

An education dashboard
Time_spent_minutes by completion_status and a breakdown of instructor_id. Excel, Power BI or Tableau.
Why do the 42 not_started rows have a mean time_spent_minutes of 0.0?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Students200
S0011200completed
S002870in_progr…
S0030not_star…
A software demo
Believable students with student_name, student_email and module_id to fill a screen in front of a buyer.

This dataset200 rows15 columns

Yours1,000 rows15 columns

blueprint · student-curriculum-progress-records

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 15 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

Student ID and module mapped
Completion status and grades recorded
Time spent per module tracked
Curriculum version noted
Progress gaps flagged

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

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: student-curriculum-progress-records

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

An education dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Education

What should your data show?