Education
15 columns
120 rows
8 formats

Remote Student Engagement Interaction Logs

This dataset provides detailed, timestamped logs of student engagement in virtual classrooms, capturing every interaction type, participation level, and session attendance. With fields for device, location, and engagement scoring, it enables deep analysis of remote learning effectiveness, student behavior patterns, and instructional strategies. Ideal for ed-tech startups, researchers, and educational analysts seeking to optimize online education.

opened 5 times
last updated 5 Feb 2026
by GoMask

The brief that made it

Analyzing student participation and engagement trends in remote learning environments

Sample rows

preview · 8 of 120 rows · all 15 columns

interaction_idstring	interaction_typestring	engagement_scorefloat	is_active_participationboolean	location_countrystring	student_idstring	student_namestring	session_idstring	session_titlestring	instructor_idstring	interaction_timestampdatetime	interaction_contentstring	attendance_duration_minutesfloat	device_typestring	location_citystring
INT-00001	attendance	4.1	false	USA	STU-001	Olivia Chen	SES-20240601-001	Intro to Algebra	INS-102	2024-06-01T09:00:00Z	Session attended	120	desktop	New York
INT-00002	chat_message	8.7	true	Egypt	STU-002	Ahmed Mahmoud	SES-20240601-001	Intro to Algebra	INS-102	2024-06-01T09:18:00Z	Can you explain quadratic equations?	blank	mobile	Cairo
INT-00003	poll_response	7.6	true	Spain	STU-003	Sophia Rodriguez	SES-20240601-001	Intro to Algebra	INS-102	2024-06-01T09:20:00Z	Answered: Option C	blank	tablet	Madrid
INT-00004	hand_raised	7.1	true	Russia	STU-004	Ivan Petrov	SES-20240601-001	Intro to Algebra	INS-102	2024-06-01T09:30:00Z	Hand raised to answer	blank	desktop	Moscow
INT-00005	reaction	2.2	false	China	STU-005	Emily Wang	SES-20240601-001	Intro to Algebra	INS-102	2024-06-01T09:32:00Z	Thumbs up	blank	mobile	Shanghai
INT-00006	attendance	3.7	false	Germany	STU-006	Lucas Müller	SES-20240601-002	World History 101	INS-104	2024-06-01T10:00:00Z	Session attended	90	tablet	Berlin
INT-00007	question_asked	9.8	true	Ireland	STU-007	Sara O'Neill	SES-20240601-002	World History 101	INS-104	2024-06-01T10:22:00Z	How did the Roman Empire fall?	blank	desktop	Dublin
INT-00008	quiz_submission	9.5	true	Ghana	STU-008	Kofi Mensah	SES-20240601-002	World History 101	INS-104	2024-06-01T10:50:00Z	Quiz score: 95	blank	desktop	Accra
INT-00009	chat_message	8.3	true	France	STU-009	Chloe Martin	SES-20240601-002	World History 101	INS-104	2024-06-01T10:35:00Z	Is there a recommended reading list?	blank	mobile	Paris
INT-00010	poll_response	7	true	UAE	STU-010	Mohammed Al Fahad	SES-20240601-002	World History 101	INS-104	2024-06-01T10:15:00Z	Answered: Option B	blank	tablet	Dubai
INT-00011	attendance	3.3	false	India	STU-011	Priya Singh	SES-20240601-003	Principles of Economics	INS-105	2024-06-01T11:00:00Z	Session attended	85	desktop	Mumbai
INT-00012	poll_response	7.9	true	Canada	STU-012	Liam Johnson	SES-20240601-003	Principles of Economics	INS-105	2024-06-01T11:10:00Z	Answered: Option A	blank	tablet	Toronto
INT-00013	reaction	2.7	false	Sweden	STU-013	Anna Svensson	SES-20240601-003	Principles of Economics	INS-105	2024-06-01T11:16:00Z	Clap	blank	mobile	Stockholm
INT-00014	chat_message	8.9	true	Argentina	STU-014	Diego Alvarez	SES-20240601-003	Principles of Economics	INS-105	2024-06-01T11:20:00Z	Can you clarify marginal cost?	blank	tablet	Buenos Aires
INT-00015	attendance	2.5	false	Morocco	STU-015	Fatima Zahra	SES-20240601-004	Digital Marketing Basics	INS-107	2024-06-01T12:00:00Z	Session attended	60	desktop	Casablanca
INT-00016	quiz_submission	9.9	true	UK	STU-016	Mia Taylor	SES-20240601-004	Digital Marketing Basics	INS-107	2024-06-01T12:48:00Z	Quiz score: 98	blank	desktop	London
INT-00017	question_asked	9.3	true	Germany	STU-017	Sebastian Weber	SES-20240601-004	Digital Marketing Basics	INS-107	2024-06-01T12:30:00Z	What are key metrics for campaigns?	blank	tablet	Munich
INT-00018	poll_response	8.1	true	South Africa	STU-018	Zanele Khumalo	SES-20240601-004	Digital Marketing Basics	INS-107	2024-06-01T12:10:00Z	Answered: Option D	blank	mobile	Johannesburg
INT-00019	attendance	2.8	false	Portugal	STU-019	Lucas Fernandes	SES-20240601-005	Programming Fundamentals	INS-109	2024-06-01T13:00:00Z	Session attended	55	tablet	Lisbon
INT-00020	chat_message	8.1	true	Singapore	STU-020	Jade Lee	SES-20240601-005	Programming Fundamentals	INS-109	2024-06-01T13:12:00Z	What is a variable in programming?	blank	desktop	Singapore

What the 120 rows show

from the 120-row sample

Reaction (interaction type) stands out: mean engagement_score is 1.9, against 7.1 for the rest.

61%is_active_participation = true
7.7median engagement_score
4device types
23sessions
23session titles
23instructors

Mean engagement_score by interaction_type120 rows

engagement_score120 rows, in bands of 1

Every row with engagement_score of 7 or more has is_active_participation = true. None below it.

location_country109 rows with a value · 11 left blank

USA8
Russia6
Germany6
Nigeria6
Egypt5
India5
Sweden5
Spain4
Canada4
Portugal4

15 columns by typefrom the column list below

string 11
float 2
datetime 1
boolean 1

Columns

15 columns in four groups

blueprint · 15 columns
column	type	description	example
Text 11 columns
`interaction_id`	string	Unique identifier for each student interaction log entryunique	INT-00001
`student_id`	string	Unique identifier for the student	STU-001
`student_name`	string	Full name of the studentoptional	Olivia Chen
`session_id`	string	Unique identifier for the virtual classroom session	SES-20240601-001
`session_title`	string	Title or topic of the virtual classroom sessionoptional	Intro to Algebra
`instructor_id`	string	Unique identifier for the instructor leading the sessionoptional	INS-102
`interaction_type`	string	Type of engagement or interaction (e.g., attendance, chat_message, poll_response, question_asked, hand_raised, quiz_submission, reaction)7 values	attendance
`interaction_content`	string	Content or details of the interaction (e.g., chat message text, poll answer, question text, reaction type, quiz score)optional	Session attended
`device_type`	string	Type of device used for the interaction (e.g., desktop, tablet, mobile)desktop · tablet · mobile · unknown · optional	desktop
`location_city`	string	City from which the student joined the session (if available)optional	New York
`location_country`	string	Country from which the student joined the session (if available)optional	USA
Numbers 2 columns
`attendance_duration_minutes`	float	Duration in minutes the student attended the session (only for attendance interactions)0 or more · optional	120
`engagement_score`	float	Numerical score representing the engagement value of this interaction (e.g., weighted by type)0 or more · optional	4.1
Dates and times 1 column
`interaction_timestamp`	datetime	Date and time when the interaction occurred	2024-06-01T09:00:00Z
True or false 1 column
`is_active_participation`	boolean	Indicates if the interaction is considered active participation (e.g., speaking, asking questions, submitting assignments)optional	false

Use it for

An education dashboard
The is_active_participation rate, engagement_score by interaction_type and a breakdown of location_country. Excel, Power BI or Tableau.
Why do the 20 reaction rows have a mean engagement_score of 1.9?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Interactions120
INT-000014.1attendan…
INT-000028.7chat_mes…
INT-000037.6poll_res…
A software demo
Believable interactions with student_id, student_name and session_id to fill a screen in front of a buyer.

This dataset120 rows15 columns

Yours10,000 rows15 columnslocation_city: UK only

blueprint · remote-student-engagement-interaction-logs

Behind this dataset

Same schema. As many rows as you need.

These 120 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

Each row represents a unique student interaction instance (e.g., question asked, poll answered, breakout participation)
Include timestamps, session IDs, student anonymized IDs, and interaction types
Flag interactions as passive (e.g., attendance) or active (e.g., chat, quiz response)
Account for session duration and engagement score per student per session
Missing engagement data is noted as 'No Interaction'

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

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: remote-student-engagement-interaction-logs

What should your data show?

No signup. No card.

Sample rows

What the 120 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?