Education
14 columns
128 rows
8 formats

Smart Classroom Sensor Event Logs

This dataset provides detailed logs of IoT-enabled classroom sensor events, capturing environmental conditions and student engagement metrics in digital learning spaces. It supports granular analysis of classroom comfort, energy usage, and student participation, enabling data-driven optimization of remote and hybrid educational environments. Ideal for edtech innovation, smart building management, and educational research.

last updated 17 Jan 2026
by GoMask

The brief that made it

Optimizing classroom energy usage and comfort based on real-time sensor data

Sample rows

preview · 8 of 128 rows · all 14 columns

event_idstring	sensor_typestring	valuefloat	unitstring	timestampdatetime	classroom_idstring	sensor_idstring	sensor_locationstring	event_typestring	student_idstring	engagement_typestring	device_statusstring	battery_levelfloat	notesstring
EVT00001	temperature	21.7	C	2024-05-23T08:12:15Z	RM01	SEN-10001	ceiling	reading	blank	blank	active	87.4	blank
EVT00002	humidity	46.3	%	2024-05-23T08:15:34Z	RM02	SEN-10002	wall	reading	blank	blank	active	78.1	blank
EVT00003	co2	740	ppm	2024-05-23T08:17:10Z	RM03	SEN-10003	wall	reading	blank	blank	active	95.6	blank
EVT00004	light	320	lux	2024-05-23T08:19:44Z	RM01	SEN-10004	ceiling	reading	blank	blank	active	91.2	blank
EVT00005	sound	40.8	dB	2024-05-23T08:22:01Z	RM04	SEN-10005	wall	reading	blank	blank	active	82.9	blank
EVT00006	motion	1	blank	2024-05-23T08:25:11Z	RM05	SEN-10006	ceiling	reading	blank	blank	active	76.3	blank
EVT00007	temperature	27.1	C	2024-05-23T08:27:06Z	RM02	SEN-10007	wall	threshold_exceeded	blank	blank	active	69.9	Temperature threshold exceeded by 2.1C
EVT00008	humidity	18.4	%	2024-05-23T08:29:41Z	RM01	SEN-10008	ceiling	anomaly	blank	blank	active	61.2	Humidity sudden drop detected
EVT00009	co2	1400	ppm	2024-05-23T08:33:10Z	RM03	SEN-10009	wall	threshold_exceeded	blank	blank	active	93.8	CO2 threshold exceeded
EVT00010	light	150	lux	2024-05-23T08:36:17Z	RM04	SEN-10010	desk	reading	blank	blank	active	88.6	blank
EVT00011	sound	87.1	dB	2024-05-23T08:38:33Z	RM05	SEN-10011	ceiling	anomaly	blank	blank	active	72.1	Unusual sound peak detected
EVT00012	engagement	0.87	score	2024-05-23T08:40:19Z	RM06	SEN-10012	desk	student_activity	STU90101	attention	active	96.2	blank
EVT00013	engagement	0.45	score	2024-05-23T08:42:51Z	RM06	SEN-10013	desk	student_activity	STU90102	inactivity	active	94.3	Student disengaged
EVT00014	motion	0	blank	2024-05-23T08:45:27Z	RM05	SEN-10014	wall	reading	blank	blank	active	67.5	blank
EVT00015	temperature	19.9	C	2024-05-23T08:48:12Z	RM01	SEN-10015	wall	reading	blank	blank	active	83.7	blank
EVT00016	humidity	53.2	%	2024-05-23T08:50:38Z	RM02	SEN-10016	wall	reading	blank	blank	active	80	blank
EVT00017	co2	890	ppm	2024-05-23T08:53:07Z	RM03	SEN-10017	ceiling	reading	blank	blank	active	97.4	blank
EVT00018	light	750	lux	2024-05-23T08:55:33Z	RM04	SEN-10018	ceiling	threshold_exceeded	blank	blank	active	86.4	Excessive light detected
EVT00019	sound	38.6	dB	2024-05-23T08:57:58Z	RM05	SEN-10019	wall	reading	blank	blank	active	79.8	blank
EVT00020	engagement	0.72	score	2024-05-23T09:00:33Z	RM06	SEN-10020	wall	student_activity	STU90103	attention	active	88.1	blank

What the 128 rows show

from the 128-row sample

Co2 (sensor type) stands out: mean value is 1,200, against 95.5 for the rest.

40.1median value
4engagement types
4device statuses
5sensor locations
5event types
22classrooms

Mean value by sensor_type128 rows

value128 rows, in bands of 500

Median 40.1, from -2.4 to 3,999.

unit116 rows with a value · 12 left blank

C23
score23
%18
ppm18
lux17
dB17

14 columns by typefrom the column list below

string 11
float 2
datetime 1

Columns

14 columns in three groups

blueprint · 14 columns
column	type	description	example
Text 11 columns
`event_id`	string	Unique identifier for each sensor event log entryunique	EVT00001
`classroom_id`	string	Unique identifier for the classroom where the event occurred	RM01
`sensor_id`	string	Unique identifier for the IoT sensor device	SEN-10001
`sensor_type`	string	Type of sensor (e.g., temperature, humidity, CO2, light, motion, sound, engagement)8 values	temperature
`sensor_location`	string	Physical location of the sensor within the classroom (e.g., ceiling, wall, desk)5 locations · optional	ceiling
`event_type`	string	Type of event detected (e.g., reading, threshold_exceeded, anomaly, student_activity)6 values	reading
`unit`	string	Measurement unit for the sensor value (e.g., C, %, ppm, lux, dB, score)6 units · optional	C
`student_id`	string	Unique identifier for the student (if event relates to individual engagement/activity; otherwise null)optional	STU90101
`engagement_type`	string	Type of engagement detected (e.g., attention, participation, inactivity; only for engagement sensors)attention · participation · inactivity · other · optional	attention
`device_status`	string	Operational status of the sensor device at the time of event (e.g., active, offline, error)active · offline · error · maintenance · optional	active
`notes`	string	Additional notes or comments related to the event (e.g., manual overrides, anomalies)optional	CO2 threshold exceeded
Numbers 2 columns
`value`	float	Recorded value from the sensor (e.g., temperature in Celsius, CO2 in ppm, engagement score)	21.7
`battery_level`	float	Battery level of the sensor device at the time of event (percentage, 0-100)0 to 100 · optional	87.4
Dates and times 1 column
`timestamp`	datetime	Date and time the sensor event was recorded (ISO 8601 format)	2024-05-23T08:12:15Z

Use it for

An education dashboard
Value by sensor_type and a breakdown of unit. Excel, Power BI or Tableau.
Why do the 18 co2 rows have a mean value of 1,200?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Events128
EVT0000121.7temperat…
EVT0000246.3humidity
EVT00003740co2
A software demo
Believable events with timestamp, classroom_id and sensor_id to fill a screen in front of a buyer.

This dataset128 rows14 columns

Yours1,000 rows14 columnssensor_location: UK only

blueprint · smart-classroom-sensor-event-logs

Behind this dataset

Same schema. As many rows as you need.

These 128 rows came out of a blueprint — 14 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 single sensor event in a unique classroom during a session.
Events include timestamp, classroom ID, sensor type (CO2, temperature, motion, noise), and recorded value.
Student count and lesson type (lecture, group work, remote) must be included per event.
Highlight energy efficiency triggers (e.g., HVAC auto-adjust, lights off/on) as event flags.
Flag anomalies where sensor readings exceed predefined comfort or safety thresholds.

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: smart-classroom-sensor-event-logs

What should your data show?

No signup. No card.

Sample rows

What the 128 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?