Remote Learning Outcome Tracking
This dataset provides detailed tracking of student outcomes in remote learning environments, including engagement metrics, course progress, completion status, grades, and support interactions. It enables education administrators to analyze digital course effectiveness, identify at-risk students, and optimize remote learning strategies for improved student success.
Sample rows
preview · 8 of 120 rows · all 16 columns| student_idstring | completion_statusstring | feedback_scorefloat | feedback_submittedboolean | instructor_namestring | student_namestring | student_emailstring | course_idstring | course_titlestring | instructor_idstring | enrollment_datedate | last_activity_datedate | engagement_scorefloat | progress_percentfloat | final_gradefloat | support_interactions_countinteger |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| stu_001 | completed | 4.7 | true | John Stanford | Ananya Rao | ananya.rao@ | CS101 | Introduction to Computer Science | inst_001 | 2022-10-15 | 2022-12-23 | 96.8 | 100 | 89.3 | 1 |
| stu-002 | completed | 4.9 | true | Fatima Abdi | Ming Zhao | ming.zhao@ | MATH201 | Advanced Mathematics | inst_002 | 2023-02-21 | 2023-05-10 | 84.1 | 98.7 | 91.4 | 0 |
| stu_003 | completed | 4.4 | true | Elena Ivanova | Carlos Jimenez | c.jimenez@ | HIST110 | World History | inst_003 | 2023-09-01 | 2023-11-02 | 87.4 | 99.4 | 82.7 | 2 |
| stu-004 | completed | 4.6 | true | Priya Singh | Linda Kwame | linda.kwame@ | ENG220 | English Literature | inst_004 | 2022-06-17 | 2022-08-10 | 91.2 | 98.9 | 85.6 | 0 |
| stu_005 | completed | 4.8 | true | Amina El-Hadji | Marc Dubois | marc.dubois@ | BIO150 | Biology Fundamentals | inst_005 | 2023-01-09 | 2023-03-15 | 94.7 | 100 | 93.2 | 3 |
| stu-006 | completed | 5 | true | Luca Rossi | Sandra Lee | sandra.lee@ | PSY301 | Psychology & Behavior | inst_006 | 2023-04-12 | 2023-07-18 | 98.3 | 99.6 | 96.2 | 2 |
| stu_007 | completed | 4.5 | true | David Kim | Fatou Diallo | fatou.diallo@ | PHYS120 | Physics Principles | inst_007 | 2024-01-18 | 2024-03-11 | 85.9 | 98.2 | 90.1 | 1 |
| stu-008 | completed | 5 | true | John Stanford | Jinwoo Park | jinwoo.park@ | CS101 | Introduction to Computer Science | inst_001 | 2022-12-01 | 2023-02-03 | 99.2 | 100 | 97.3 | 15 |
| stu_009 | completed | 4.3 | true | Fatima Abdi | Tatiana Petrova | tatiana.petrova@ | MATH201 | Advanced Mathematics | inst_002 | 2023-03-25 | 2023-06-21 | 82.6 | 99.8 | 87.7 | 1 |
| stu-010 | completed | 4.2 | true | Elena Ivanova | Pedro Silva | pedro.silva@ | HIST110 | World History | inst_003 | 2022-08-27 | 2022-11-30 | 88.5 | 98.1 | 80.2 | 0 |
| stu_011 | in-progress | 3.8 | true | Priya Singh | Nia Johnson | nia.johnson@ | ENG220 | English Literature | inst_004 | 2024-02-12 | 2024-04-04 | 71.4 | 76.2 | blank | 2 |
| stu-012 | in-progress | blank | false | Amina El-Hadji | Yusuf Hassan | yusuf.hassan@ | BIO150 | Biology Fundamentals | inst_005 | 2023-05-07 | 2023-08-18 | 45.8 | 62.4 | blank | 0 |
| stu_013 | in-progress | 3.1 | true | Luca Rossi | Sofia Greco | sofia.greco@ | PSY301 | Psychology & Behavior | inst_006 | 2022-11-23 | 2023-01-27 | 60.7 | 38.2 | blank | 4 |
| stu-014 | in-progress | 3.5 | true | David Kim | Ahmed Al-Masri | ahmed.masri@ | PHYS120 | Physics Principles | inst_007 | 2023-07-17 | 2023-09-01 | 66.3 | 44.8 | blank | 1 |
| stu_015 | in-progress | blank | false | John Stanford | Julia Müller | julia.muller@ | CS101 | Introduction to Computer Science | inst_001 | 2024-03-08 | 2024-03-22 | 52.5 | 33.1 | blank | 2 |
| stu-016 | in-progress | blank | false | Fatima Abdi | Amara Eze | amara.eze@ | MATH201 | Advanced Mathematics | inst_002 | 2023-10-25 | 2023-12-04 | 33.7 | 22.8 | blank | 1 |
| stu_017 | in-progress | 2.7 | true | Elena Ivanova | Lucas Oliveira | lucas.oliveira@ | HIST110 | World History | inst_003 | 2022-09-14 | 2022-12-07 | 59.2 | 47.5 | blank | 0 |
| stu-018 | in-progress | blank | false | Priya Singh | Chloe Bernard | chloe.bernard@ | ENG220 | English Literature | inst_004 | 2023-02-20 | 2023-04-05 | 39.8 | 29.2 | blank | 3 |
| stu_019 | in-progress | blank | false | Amina El-Hadji | Mohamed Hassan | mohamed.hassan@ | BIO150 | Biology Fundamentals | inst_005 | 2022-07-11 | 2022-07-23 | 43.5 | 18.3 | blank | 0 |
| stu-020 | in-progress | blank | false | Luca Rossi | Ava Smith | ava.smith@ | PSY301 | Psychology & Behavior | inst_006 | 2023-06-30 | 2023-07-13 | 38.1 | 13.7 | blank | 2 |
What the 120 rows show
from the 120-row sampleCompleted (completion status) stands out: mean feedback_
- 56%feedback_
submitted = true - 4.7median feedback_
score - 7courses
- 7instructors
- 17course titles
- 60.7median engagement_
score
Median 4.7, from 1.2 to 5.0.
- string 8
- integer 1
- float 4
- date 2
- boolean 1
Columns
16 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 8 columns | |||
student_id | string | Unique identifier for each studentunique | stu_001 |
student_name | string | Full name of the student | Ananya Rao |
student_email | string | Email address of the studentunique | ananya.rao@ |
course_id | string | Unique identifier for the remote course7 courses | CS101 |
course_title | string | Title of the remote course | Advanced Mathematics |
instructor_id | string | Unique identifier for the instructor7 instructors | inst_001 |
instructor_name | string | Full name of the instructor | John Stanford |
completion_status | string | Indicates whether the student has completed the coursecompleted · in-progress · not-started · dropped | completed |
| Numbers 5 columns | |||
engagement_score | float | Calculated score representing student engagement (e.g., 0-100)0 to 100 | 96.8 |
progress_percent | float | Percentage of course completed by the student (0-100)0 to 100 | 100 |
final_grade | float | Final grade achieved by the student in the course (0-100); null if not completed0 to 100 · optional | 89.3 |
support_interactions_count | integer | Number of times the student interacted with support services during the course0 or more · optional | 1 |
feedback_score | float | Numeric rating provided by the student for the course (1-5); null if not submitted1 to 5 · optional | 4.7 |
| Dates and times 2 columns | |||
enrollment_date | date | Date the student enrolled in the course | 2022-10-15 |
last_activity_date | date | Date of the student's most recent activity in the courseoptional | 2022-12-23 |
| True or false 1 column | |||
feedback_submitted | boolean | Indicates if the student has submitted feedback for the courseoptional | true |
Use it for
An education dashboard
The feedback_
submitted rate, feedback_ score by completion_ status and a breakdown of instructor_ name. Excel, Power BI or Tableau. Why do the 53 completed rows have a mean feedback_
score of 4.7? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Students120stu_0014.7completedstu-0024.9completedstu-012in-progr…
A software demo
Believable students with student_
name, student_ email and course_ id to fill a screen in front of a buyer.
This dataset120 rows16 columns
Yours1,000 rows16 columns
blueprint · remote-learning-outcome-tracking
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 16 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
- Each row represents an individual student's remote learning session
- Session engagement score must range from 0 to 100
- Completion status must be 'Completed', 'In Progress', or 'Dropped'
- Progress is measured as percentage of curriculum covered
- Include session date, duration, and instructor ID
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
- remote-learning-outcome-tracking