EdTech Remote Engagement Metrics
This dataset provides detailed metrics on remote learner engagement and participation across digital education platforms, including session attendance, active participation, resource usage, and feedback ratings. It enables EdTech administrators to analyze virtual classroom effectiveness, identify engagement trends, and optimize digital content and support strategies for distributed learners.
Sample rows
preview · 8 of 120 rows · all 19 columns| engagement_idstring | attendance_statusstring | feedback_ratinginteger | video_onboolean | course_idstring | learner_idstring | platform_idstring | session_idstring | session_start_timedatetime | session_end_timedatetime | duration_minutesfloat | active_participation_minutesfloat | messages_sentinteger | questions_askedinteger | polls_answeredinteger | resources_accessedinteger | audio_onboolean | engagement_scorefloat | session_datedate |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ENG-00001 | present | 5 | true | COURSE-A1 | LN-1025 | PLAT-01 | SES-20240603-01 | 2024-06-03T09:00:00 | 2024-06-03T10:30:00 | 90 | 81 | 15 | 10 | 6 | 18 | true | 96.2 | 2024-06-03 |
| ENG-00002 | present | 5 | true | COURSE-A2 | LN-1028 | PLAT-02 | SES-20240605-03 | 2024-06-05T13:30:00 | 2024-06-05T15:00:00 | 90 | 82.7 | 18 | 15 | 8 | 21 | true | 98.1 | 2024-06-05 |
| ENG-00003 | present | 4 | true | COURSE-B2 | LN-1042 | PLAT-01 | SES-20240607-02 | 2024-06-07T10:45:00 | 2024-06-07T12:15:00 | 90 | 74.5 | 11 | 7 | 6 | 12 | true | 87.9 | 2024-06-07 |
| ENG-00004 | present | 3 | true | COURSE-A3 | LN-1084 | PLAT-03 | SES-20240601-04 | 2024-06-01T14:00:00 | 2024-06-01T15:00:00 | 60 | 46.2 | 6 | 3 | 2 | 4 | false | 65.5 | 2024-06-01 |
| ENG-00005 | present | 3 | false | COURSE-C1 | LN-1022 | PLAT-04 | SES-20240608-06 | 2024-06-08T11:00:00 | 2024-06-08T12:15:00 | 75 | 56.3 | 4 | 2 | 1 | 2 | true | 59.7 | 2024-06-08 |
| ENG-00006 | present | 5 | true | COURSE-A1 | LN-1031 | PLAT-01 | SES-20240603-02 | 2024-06-03T09:00:00 | 2024-06-03T10:00:00 | 60 | 56.7 | 10 | 5 | 5 | 14 | true | 91.5 | 2024-06-03 |
| ENG-00007 | present | 4 | true | COURSE-B3 | LN-1015 | PLAT-02 | SES-20240604-01 | 2024-06-04T16:00:00 | 2024-06-04T17:30:00 | 90 | 77.8 | 13 | 8 | 5 | 11 | true | 92.1 | 2024-06-04 |
| ENG-00008 | late | 2 | false | COURSE-A2 | LN-1063 | PLAT-03 | SES-20240601-02 | 2024-06-01T08:00:00 | 2024-06-01T08:31:00 | 31 | 13.5 | 2 | 1 | 1 | 1 | true | 17.6 | 2024-06-01 |
| ENG-00009 | absent | blank | false | COURSE-C2 | LN-1077 | PLAT-05 | SES-20240610-03 | 2024-06-10T10:00:00 | 2024-06-10T10:00:30 | 0.5 | 0 | 0 | 0 | 0 | 0 | false | 0 | 2024-06-10 |
| ENG-00010 | left-early | blank | false | COURSE-B2 | LN-1091 | PLAT-02 | SES-20240612-01 | 2024-06-12T15:00:00 | 2024-06-12T15:20:00 | 20 | 0 | 0 | 0 | 0 | 0 | false | 0.4 | 2024-06-12 |
| ENG-00011 | absent | blank | false | COURSE-A1 | LN-1062 | PLAT-04 | SES-20240608-01 | 2024-06-08T09:30:00 | 2024-06-08T09:30:45 | 0.75 | 0 | 0 | 0 | 0 | 0 | false | 0 | 2024-06-08 |
| ENG-00012 | present | 3 | false | COURSE-B2 | LN-1036 | PLAT-02 | SES-20240607-03 | 2024-06-07T13:00:00 | 2024-06-07T14:00:00 | 60 | 38.2 | 5 | 2 | 2 | 2 | true | 68.9 | 2024-06-07 |
| ENG-00013 | present | 5 | true | COURSE-A2 | LN-1029 | PLAT-01 | SES-20240603-03 | 2024-06-03T11:00:00 | 2024-06-03T12:30:00 | 90 | 85.1 | 19 | 13 | 7 | 23 | true | 99.5 | 2024-06-03 |
| ENG-00014 | late | 1 | false | COURSE-B3 | LN-1080 | PLAT-02 | SES-20240605-01 | 2024-06-05T09:00:00 | 2024-06-05T09:30:00 | 30 | 5.2 | 1 | 0 | 0 | 0 | false | 5.6 | 2024-06-05 |
| ENG-00015 | present | 4 | true | COURSE-C1 | LN-1041 | PLAT-06 | SES-20240609-02 | 2024-06-09T16:00:00 | 2024-06-09T17:30:00 | 90 | 70.3 | 8 | 5 | 4 | 7 | false | 78.1 | 2024-06-09 |
| ENG-00016 | present | 5 | true | COURSE-A1 | LN-1027 | PLAT-03 | SES-20240602-03 | 2024-06-02T15:00:00 | 2024-06-02T16:00:00 | 60 | 53.8 | 13 | 9 | 6 | 16 | true | 89.7 | 2024-06-02 |
| ENG-00017 | left-early | blank | false | COURSE-A2 | LN-1018 | PLAT-02 | SES-20240604-03 | 2024-06-04T11:00:00 | 2024-06-04T11:17:00 | 17 | 0 | 0 | 0 | 0 | 0 | false | 0.2 | 2024-06-04 |
| ENG-00018 | present | 4 | false | COURSE-B2 | LN-1055 | PLAT-05 | SES-20240610-01 | 2024-06-10T09:00:00 | 2024-06-10T10:00:00 | 60 | 45.9 | 7 | 2 | 2 | 1 | true | 70.2 | 2024-06-10 |
| ENG-00019 | present | 5 | true | COURSE-A3 | LN-1071 | PLAT-01 | SES-20240606-01 | 2024-06-06T10:00:00 | 2024-06-06T11:30:00 | 90 | 77.3 | 12 | 10 | 6 | 10 | true | 93.7 | 2024-06-06 |
| ENG-00020 | present | 5 | true | COURSE-B3 | LN-1066 | PLAT-02 | SES-20240605-04 | 2024-06-05T16:00:00 | 2024-06-05T18:00:00 | 120 | 101.3 | 20 | 17 | 10 | 25 | true | 100 | 2024-06-05 |
What the 120 rows show
from the 120-row samplePresent (attendance status) stands out: mean feedback_
- 57%video_
on = true - 4median feedback_
rating - 6platforms
- 60.0median duration_
minutes - 46.0median active_
participation_ minutes - 7.5median messages_
sent
Median 4, from 1 to 5.
- string 6
- integer 5
- float 3
- date 1
- datetime 2
- boolean 2
Columns
19 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 6 columns | |||
engagement_id | string | Unique identifier for each engagement recordunique | ENG-00001 |
learner_id | string | Unique identifier for the learner | LN-1025 |
platform_id | string | Unique identifier for the digital education platform6 platforms | PLAT-01 |
course_id | string | Unique identifier for the course or learning module | COURSE-A1 |
session_id | string | Unique identifier for the virtual classroom session | SES-20240603-01 |
attendance_status | string | Learner's attendance status for the sessionpresent · absent · late · left-early | present |
| Numbers 8 columns | |||
duration_minutes | float | Total duration of learner's participation in the session (in minutes)0 or more | 90 |
active_participation_minutes | float | Minutes spent actively engaging (e.g., answering questions, chatting)0 or more | 81 |
messages_sent | integer | Number of chat messages sent by the learner during the session0 or more | 15 |
questions_asked | integer | Number of questions asked by the learner during the session0 or more | 10 |
polls_answered | integer | Number of polls or quizzes answered by the learner0 or more | 6 |
resources_accessed | integer | Number of digital resources (documents, videos, etc.) accessed during session0 or more | 18 |
engagement_score | float | Calculated engagement score for the session (0-100 scale)0 to 100 | 96.2 |
feedback_rating | integer | Learner's feedback rating for the session (1-5 scale)1 to 5 · optional | 5 |
| Dates and times 3 columns | |||
session_start_time | datetime | Timestamp when the session started | 2024-06-03T09:00:00 |
session_end_time | datetime | Timestamp when the session ended | 2024-06-03T10:30:00 |
session_date | date | Date of the session | 2024-06-03 |
| True or false 2 columns | |||
video_on | boolean | Indicates if learner's video was on during the session | true |
audio_on | boolean | Indicates if learner's audio was on during the session | true |
Use it for
An education dashboard
The video_
on rate, feedback_ rating by attendance_ status and a breakdown of course_ id. Excel, Power BI or Tableau. Why do the 85 present rows have a mean feedback_
rating of 4.2? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Engagements120ENG-000015presentENG-000025presentENG-000053present
A software demo
Believable engagements with learner_
id, platform_ id and course_ id to fill a screen in front of a buyer.
This dataset120 rows19 columns
Yours1,000 rows19 columns
blueprint · edtech-remote-engagement-metrics
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 19 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 a unique student-platform session
- Include engagement score calculated from interactions (clicks, messages, submissions)
- Session duration must be recorded in minutes
- Flag sessions with zero activity for dropout risk analysis
- Platform type tagged (video, interactive, quiz)
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
- edtech-remote-engagement-metrics