Remote Class Engagement Compliance Log
This dataset provides granular logs of student engagement and compliance in remote classroom sessions, including attendance, participation metrics, and automated compliance status. It enables edtech platforms and educators to monitor trends, identify students needing intervention, and ensure adherence to regulatory requirements for virtual learning environments.
Sample rows
preview · 8 of 120 rows · all 18 columns| log_idstring | compliance_statusstring | engagement_duration_minutesfloat | active_participationboolean | instructor_idstring | student_idstring | student_namestring | class_idstring | class_namestring | instructor_namestring | session_datedate | session_start_timedatetime | session_end_timedatetime | student_join_timedatetime | student_leave_timedatetime | engagement_scorefloat | intervention_flagboolean | notesstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LOG0001 | compliant | 89 | true | I3001 | S1001 | Alice Chen | C2001 | Physics Lab Section A | Dr. Sarah Johnson | 2024-02-13 | 2024-02-13T09:00:00 | 2024-02-13T10:30:00 | 2024-02-13T09:00:10 | 2024-02-13T10:29:45 | 97.8 | false | blank |
| LOG0002 | non-compliant | 5 | false | I3002 | S1002 | James Smith | C2002 | Intro to Coding | Prof. Matthew Lee | 2024-02-16 | 2024-02-16T13:00:00 | 2024-02-16T14:30:00 | 2024-02-16T13:25:10 | 2024-02-16T13:30:00 | 0 | true | Left early |
| LOG0003 | non-compliant | 25 | false | I3003 | S1003 | Yara El-Masry | C2003 | Advanced Calculus | Dr. Mohamed Fadel | 2024-02-21 | 2024-02-21T08:45:00 | 2024-02-21T10:15:00 | 2024-02-21T09:10:00 | 2024-02-21T09:35:00 | 47.2 | false | Late join affected compliance |
| LOG0004 | compliant | 70.5 | true | I3004 | S1004 | Andile Nkosi | C2004 | Organic Chemistry | Prof. Nia Williams | 2024-02-19 | 2024-02-19T10:00:00 | 2024-02-19T11:30:00 | 2024-02-19T10:15:00 | 2024-02-19T11:25:30 | 92.7 | false | Strong engagement after late join |
| LOG0005 | compliant | 78.5 | true | I3005 | S1005 | Ji-ho Kim | C2005 | Philosophy & Ethics Section B | Dr. Rajesh Patel | 2024-02-22 | 2024-02-22T11:00:00 | 2024-02-22T12:30:00 | 2024-02-22T11:10:00 | 2024-02-22T12:28:30 | 89 | false | Strong engagement after late join |
| LOG0006 | non-compliant | 44.2 | false | I3003 | S1006 | Mohamed Fadel | C2006 | Advanced Calculus | Dr. Mohamed Fadel | 2024-02-21 | 2024-02-21T08:45:00 | 2024-02-21T10:15:00 | 2024-02-21T08:45:45 | 2024-02-21T09:30:00 | 59.8 | false | Late join affected compliance |
| LOG0007 | pending | 55 | true | I3006 | S1007 | Shivali Bhatt | C2007 | Intro to Biology | Dr. Emma Müller | 2024-03-02 | 2024-03-02T15:00:00 | 2024-03-02T16:00:00 | 2024-03-02T15:02:00 | 2024-03-02T15:57:00 | 77.2 | false | Participation review pending |
| LOG0008 | non-compliant | 7 | false | blank | S1008 | Kai Poole | C2008 | Philosophy & Ethics Section A | blank | 2024-02-27 | 2024-02-27T16:00:00 | 2024-02-27T17:30:00 | 2024-02-27T16:40:00 | 2024-02-27T16:47:00 | 2.8 | true | No meaningful attendance |
| LOG0009 | compliant | 89 | true | I3007 | S1009 | Dmitri Ivanov | C2009 | Statistics Fundamentals | Dr. Eva Novák | 2024-03-03 | 2024-03-03T09:00:00 | 2024-03-03T10:30:00 | 2024-03-03T09:00:05 | 2024-03-03T10:29:00 | 96.3 | false | blank |
| LOG0010 | compliant | 83 | true | I3001 | S1010 | Sarah Johnson | C2010 | Physics Lab Section B | Dr. Sarah Johnson | 2024-02-13 | 2024-02-13T11:00:00 | 2024-02-13T12:30:00 | 2024-02-13T11:05:00 | 2024-02-13T12:28:00 | 93.5 | false | blank |
| LOG0011 | pending | 59 | true | I3008 | S1011 | Sofia García | C2011 | Environmental Science | Dr. Lucas Moreira | 2024-02-18 | 2024-02-18T09:00:00 | 2024-02-18T10:00:00 | 2024-02-18T09:00:00 | 2024-02-18T09:59:00 | 78.5 | false | Edge case, review required |
| LOG0012 | non-compliant | 0 | false | I3009 | S1012 | Yasmin Hassan | C2012 | World History Section C | Prof. Antoine Laurent | 2024-02-16 | 2024-02-16T15:00:00 | 2024-02-16T16:30:00 | 2024-02-16T15:02:00 | blank | 0 | true | No attendance recorded |
| LOG0013 | non-compliant | 27 | false | I3008 | S1013 | Lucas Moreira | C2013 | Environmental Science | Dr. Lucas Moreira | 2024-02-18 | 2024-02-18T09:00:00 | 2024-02-18T10:00:00 | 2024-02-18T09:00:30 | 2024-02-18T09:28:00 | 52.2 | false | Late join affected compliance |
| LOG0014 | compliant | 90 | true | I3004 | S1014 | Emma Müller | C2014 | Organic Chemistry | Prof. Nia Williams | 2024-02-19 | 2024-02-19T10:00:00 | 2024-02-19T11:30:00 | 2024-02-19T10:00:00 | 2024-02-19T11:30:00 | 100 | false | blank |
| LOG0015 | non-compliant | 25 | false | I3005 | S1015 | Rajesh Patel | C2015 | Philosophy & Ethics Section B | Dr. Rajesh Patel | 2024-02-22 | 2024-02-22T11:00:00 | 2024-02-22T12:30:00 | 2024-02-22T11:05:00 | 2024-02-22T11:30:00 | 41.7 | false | Late join affected compliance |
| LOG0016 | compliant | 87.8 | true | I3009 | S1016 | Antoine Laurent | C2016 | World History Section C | Prof. Antoine Laurent | 2024-02-16 | 2024-02-16T15:00:00 | 2024-02-16T16:30:00 | 2024-02-16T15:00:10 | 2024-02-16T16:28:00 | 94.5 | false | blank |
| LOG0017 | non-compliant | 27 | false | I3007 | S1017 | Eva Novák | C2017 | Statistics Fundamentals | Dr. Eva Novák | 2024-03-03 | 2024-03-03T09:00:00 | 2024-03-03T10:30:00 | 2024-03-03T09:03:00 | 2024-03-03T09:30:00 | 50.1 | false | Late join affected compliance |
| LOG0018 | non-compliant | 10 | false | I3004 | S1018 | Nia Williams | C2018 | Organic Chemistry | Prof. Nia Williams | 2024-02-19 | 2024-02-19T10:00:00 | 2024-02-19T11:30:00 | 2024-02-19T10:00:00 | 2024-02-19T10:10:00 | 12.9 | true | Left early |
| LOG0019 | compliant | 90 | true | I3002 | S1019 | Matthew Lee | C2019 | Intro to Coding | Prof. Matthew Lee | 2024-02-16 | 2024-02-16T13:00:00 | 2024-02-16T14:30:00 | 2024-02-16T13:00:00 | 2024-02-16T14:30:00 | 97.5 | false | blank |
| LOG0020 | non-compliant | 0 | false | blank | S1020 | Lucas Wang | C2020 | Intro to Coding | blank | 2024-02-16 | 2024-02-16T13:00:00 | 2024-02-16T14:30:00 | 2024-02-16T13:01:00 | blank | 0 | true | Absent |
What the 120 rows show
from the 120-row sampleNon-compliant (compliance status) stands out: mean engagement_
- 57%active_
participation = true - 60.0median engagement_
duration_ minutes - 20noteses
- 77.8median engagement_
score
Median 60.0, from 0.0 to 90.0.
- string 9
- float 2
- date 1
- datetime 4
- boolean 2
Columns
18 columns in four groups| column | type | description | example |
|---|---|---|---|
| Text 9 columns | |||
log_id | string | Unique identifier for each engagement log entryunique | LOG0001 |
student_id | string | Unique identifier for the student | S1001 |
student_name | string | Full name of the student | Alice Chen |
class_id | string | Unique identifier for the remote class session | C2001 |
class_name | string | Name or title of the remote class session | Physics Lab Section A |
instructor_id | string | Unique identifier for the instructoroptional | I3001 |
instructor_name | string | Full name of the instructoroptional | Dr. Sarah Johnson |
compliance_status | string | Indicates if the student met regulatory attendance and engagement requirementscompliant · non-compliant · pending | compliant |
notes | string | Optional notes or comments about the student's engagement or complianceoptional | Left early |
| Numbers 2 columns | |||
engagement_duration_minutes | float | Total minutes the student was present in the session0 or more | 89 |
engagement_score | float | Automated engagement score for the session (e.g., 0-100)0 to 100 · optional | 97.8 |
| Dates and times 5 columns | |||
session_date | date | Date of the remote class session | 2024-02-13 |
session_start_time | datetime | Start time of the remote class session | 2024-02-13T09:00:00 |
session_end_time | datetime | End time of the remote class session | 2024-02-13T10:30:00 |
student_join_time | datetime | Timestamp when the student joined the session | 2024-02-13T09:00:10 |
student_leave_time | datetime | Timestamp when the student left the sessionoptional | 2024-02-13T10:29:45 |
| True or false 2 columns | |||
active_participation | boolean | Indicates if the student actively participated (e.g., spoke, chatted, answered polls) | true |
intervention_flag | boolean | Flag indicating if the student requires targeted interventionoptional | false |
Use it for
An education dashboard
The active_
participation rate, engagement_ duration_ minutes by compliance_ status and a breakdown of instructor_ id. Excel, Power BI or Tableau. Why do the 51 non-compliant rows have a mean engagement_
duration_ minutes of 21.1? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Logs120LOG000189compliantLOG00025non-comp…LOG000470.5compliant
A software demo
Believable logs with student_
id, student_ name and class_ id to fill a screen in front of a buyer.
This dataset120 rows18 columns
Yours1,000 rows18 columns
blueprint · remote-class-engagement-compliance-log
Behind this dataset
Same schema. As many rows as you need.
These 120 rows came out of a blueprint — 18 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 one student engagement event in a remote class session.
- Event types include login, active participation, idle, and exit.
- Compliance status determined by minimum required engagement duration per session.
- Include timestamp, session ID, student ID, and engagement metric.
- Flag events not meeting regulatory engagement threshold.
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-class-engagement-compliance-log