Remote STEM Lab Usage Logs

This dataset provides detailed, session-level logs of remote student interactions with STEM lab equipment, including session timing, equipment used, collaboration metrics, error tracking, and feedback. It enables EdTech platforms and educators to analyze operational efficiency, student engagement, and collaborative learning outcomes in distributed or hybrid STEM environments.

  • last updated 8 Jan 2026
  • by GoMask
The brief that made it

Analyzing student engagement and collaboration patterns in remote STEM labs

Sample rows

preview · 8 of 85 rows · all 19 columns
usage_idstringcollaboration_typestringcollaborator_countintegersession_successfulbooleaninstitution_idstringstudent_idstringstudent_namestringlab_equipment_idstringlab_equipment_typestringsession_startdatetimesession_enddatetimesession_duration_minutesfloatactivity_typestringcollaborator_idsstringremote_access_methodstringerror_countintegererror_typesstringfeedback_scorefloatsession_notesstring
USG-1001-23Aindividual1trueINST-101STD-8593Lila ChenEQ-401microscope2024-02-06T09:18:002024-02-06T10:12:0054experimentblankweb0blank4.7Smooth experiment, no issues.
USG-1002-23Agroup3trueINST-102STD-1928Kevin O'BrienEQ-4023d_printer2024-02-06T13:05:002024-02-06T14:00:0055simulationSTD-3045,STD-1102desktop_client0blank4.2Good teamwork, minor delays.
USG-1003-23Aindividual1trueINST-103STD-5511Priya MenonEQ-403sensor_kit2024-03-02T10:45:002024-03-02T12:10:0085experimentblankweb0blank5Very engaging session.
USG-1004-23Agroup2falseINST-102STD-3045Samir PatelEQ-404robotics_kit2024-03-12T15:00:002024-03-12T16:35:0095calibrationSTD-5511mobile_app2connection_error,timeout2.8Session interrupted, calibration incomplete.
USG-1005-23Aindividual1trueINST-104STD-6782Jenna FoxEQ-405chemistry_apparatus2024-03-14T08:20:002024-03-14T08:55:0035experimentblankweb0blank4Quick experiment, successful result.
USG-1006-23Agroup4trueINST-105STD-1102Erik JohanssonEQ-406sensor_kit2024-03-20T11:00:002024-03-20T11:45:0045simulationSTD-8593,STD-6782,STD-3045desktop_client0blank3.9Simulation ran smoothly.
USG-1007-23Aindividual1trueINST-106STD-2224Maya RiveraEQ-407microscope2024-04-01T14:10:002024-04-01T14:58:0048experimentblankweb0blank4.5Observed new specimen.
USG-1008-23Agroup3falseINST-107STD-7762Jordan SmithEQ-408robotics_kit2024-04-05T16:30:002024-04-05T17:12:0042maintenanceSTD-5511,STD-1102mobile_app1hardware_failure2.5Hardware issue, maintenance incomplete.

What the 85 rows show

from the 85-row sample

Individual (collaboration type) stands out: mean collaborator_count is 1.0, against 2.6 for the rest.

  • 81%session_successful = true
  • 1median collaborator_count
  • 3remote access methods
  • 5activity types
  • 6lab equipment types
  • 42median session_duration_minutes
Mean collaborator_count by collaboration_type85 rows
0241.0individual48 rows2.6group37 rows
collaborator_count85 rows, in bands of 0.5
025504802209051135collaborator_count →

Median 1, from 1 to 5.

institution_id85 rows · top 10 of 20 values
  1. INST-1016
  2. INST-1026
  3. inst-136
  4. inst-086
  5. inst-116
  6. INST-1035
  7. INST-1045
  8. INST-1055
  9. inst-145
  10. INST-1064
19 columns by typefrom the column list below
  • string 12
  • integer 2
  • float 2
  • datetime 2
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 12 columns
usage_idstringUnique identifier for each remote lab usage session.uniqueUSG-1001-23A
student_idstringUnique identifier for the student participating in the session.STD-8593
student_namestringName of the student (can be anonymized or pseudonymized).optionalLila Chen
institution_idstringUnique identifier for the student's institution or school.optionalINST-101
lab_equipment_idstringUnique identifier for the STEM lab equipment used in the session.EQ-401
lab_equipment_typestringType or category of STEM lab equipment (e.g., microscope, 3D printer, sensor kit).6 valuesmicroscope
activity_typestringType of activity performed during the session (e.g., experiment, simulation, calibration).6 valuesexperiment
collaboration_typestringIndicates if the session was individual or collaborative.individual · groupindividual
collaborator_idsstringComma-separated list of student IDs of collaborators (excluding the primary student).optionalSTD-3045,STD-1102
remote_access_methodstringMethod used to access the remote lab (e.g., web, mobile app, desktop client).web · mobile_app · desktop_client · otherweb
error_typesstringComma-separated list of error types encountered (if any).optionalconnection_error,timeout
session_notesstringAdditional notes or comments about the session.optionalVery engaging session.
Numbers 4 columns
session_duration_minutesfloatDuration of the session in minutes.0 or more54
collaborator_countintegerNumber of students collaborating in the session (including the primary student).1 or more1
error_countintegerNumber of errors encountered during the session.0 or more0
feedback_scorefloatStudent's feedback score for the session (e.g., 1.0 to 5.0).1 to 5 · optional4.7
Dates and times 2 columns
session_startdatetimeTimestamp when the remote lab session started.2024-02-06T09:18:00
session_enddatetimeTimestamp when the remote lab session ended.2024-02-06T10:12:00
True or false 1 column
session_successfulbooleanIndicates whether the session was completed successfully.true

Use it for

  • session succes…81%69 of 85 rowsmean collaborator cou…1.0indivi…2.6group

    An education dashboard

    The session_successful rate, collaborator_count by collaboration_type and a breakdown of institution_id. Excel, Power BI or Tableau.

  • Why do the 48 individual rows have a mean collaborator_count of 1.0?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable usages with student_id, student_name and institution_id to fill a screen in front of a buyer.

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blueprint · remote-stem-lab-usage-logs

Behind this dataset

Same schema. As many rows as you need.

These 85 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 session per student per lab activity
  • Session durations must range from 10 to 120 minutes
  • Activity types limited to Physics, Chemistry, Biology, and Engineering
  • Collaboration status notes if session involved group or solo work
  • Outcome score reflects project completion and engagement level
  • Session timestamps must not overlap per student
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-stem-lab-usage-logs

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