Remote Learning Device Uptime Log

This dataset provides detailed logs of remote learning device deployment, connectivity, and uptime for students, including technical issue tracking and support resolution. It enables education technology teams to monitor barriers to digital access, optimize support interventions, and evaluate remote learning program effectiveness across schools and regions.

  • last updated 26 Dec 2025
  • by GoMask
The brief that made it

Monitor and analyze device uptime and connectivity for remote students

Sample rows

preview · 8 of 120 rows · all 22 columns
log_idstringconnectivity_statusstringuptime_percentagefloattechnical_issue_reportedbooleandevice_manufacturerstringstudent_idstringdevice_idstringdevice_typestringdevice_modelstringdeployment_datedatelast_uptime_checkdatetimeuptime_hoursfloatconnectivity_typestringlocation_citystringlocation_statestringlocation_postal_codestringlocation_countrystringsupport_ticket_idstringresolution_statusstringschool_idstringprogram_idstringissue_descriptionstring
aB3dE9fLonline93.8falseDellstu_1001dev_301laptopInspiron 152023-04-132024-06-06T13:45:1222.5wifiAustinTX78701USAblankblankSCHOOL_TX01PROG_A1blank
kL7mP3qWunstable50.4trueApplestu_1002dev_302tabletiPad Air 42023-11-022024-06-06T08:11:0512.1wifiTorontoONM5V2T6CanadaTKT11903pendingSCH_ON01PROG_CA1Frequent WiFi disconnects, apps freezing
uT1rF7hSonline98.2falseNetgearstu_1003dev_303hotspotblank2024-02-142024-06-06T09:32:1023.5cellularblankblankblankblankblankblankSCH_DEV01PROG_DEV1blank
pQ8sN4tKoffline12.9trueHPstu_1004dev_304desktopEliteDesk 8002022-10-092024-06-06T11:10:402.9ethernetSacramentoCA95819USATKT21933escalatedSCHOOL_CA02PROG_A2Ethernet adapter malfunction, no network
qW6vZ7bMunstable26.5trueAcerstu_1005dev_305chromebookChromebook Spin 3112022-08-192024-06-06T12:33:596.2wifiSeattleWA98109USATKT30132pendingSCHOOL_WA01PROG_A3WiFi drops, device not reporting consistently
dE3rG8nVunstable56trueSamsungstu_1006dev_306tabletGalaxy Tab S72023-02-232024-06-06T10:06:4513.4wifiBerlinBE10117GermanyTKT40201pendingSCH_DE01PROG_DE1App crash and unstable WiFi connection
zX9fD2bRonline99.96falseApplestu_1007dev_307laptopMacBook Air M22023-05-042024-06-06T14:17:3323.99wifiChicagoIL60616USAblankblankSCHOOL_IL01PROG_A4blank
mJ4hS3cEonline85.4falseTP-Linkstu_1008dev_308hotspotblank2024-03-012024-06-06T07:58:0920.5cellularblankblankblankblankblankblankSCH_DEV02PROG_DEV2blank

What the 120 rows show

from the 120-row sample

Offline (connectivity status) stands out: mean uptime_percentage is 6.8, against 74.8 for the rest.

  • 44%technical_issue_reported = true
  • 80.0median uptime_percentage
  • 2resolution statuses
  • 4connectivity types
  • 6device types
  • 24location countries
Mean uptime_percentage by connectivity_status120 rows
05010090.2online67 rows6.8offline20 rows43.7unstable33 rows
uptime_percentage120 rows, in bands of 10
0204013880915072337technical_issue_reported below 7005070100uptime_percentage →

Every row with uptime_percentage under 70 has technical_issue_reported = true. None above it.

device_manufacturer119 rows with a value · 1 left blank
  1. HP21
  2. Apple14
  3. Acer14
  4. Dell13
  5. Lenovo12
  6. Netgear10
  7. Google8
  8. Samsung7
  9. TP-Link5
  10. Huawei5
22 columns by typefrom the column list below
  • string 17
  • float 2
  • date 1
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 17 columns
log_idstringUnique identifier for each uptime log entryuniqueaB3dE9fL
student_idstringUnique identifier for the student assigned to the devicestu_1001
device_idstringUnique identifier for the remote learning devicedev_301
device_typestringType of device (e.g., laptop, tablet, hotspot)6 valueslaptop
device_manufacturerstringManufacturer of the device12 manufacturers · optionalDell
device_modelstringModel name or number of the deviceoptionalInspiron 15
connectivity_statusstringCurrent connectivity status of the deviceonline · offline · unstable · unknownonline
connectivity_typestringType of internet connection used by the devicewifi · ethernet · cellular · unknown · optionalwifi
location_citystringCity where the device is locatedoptionalAustin
location_statestringState or province where the device is locatedoptionalTX
location_postal_codestringPostal code of the device's locationoptional78701
location_countrystringCountry of the device's locationoptionalUSA
issue_descriptionstringDescription of any technical issue reportedoptionalWiFi issues, device slow
support_ticket_idstringReference ID for a support ticket related to the deviceoptionalTKT11903
resolution_statusstringStatus of any reported issue (e.g., resolved, pending, escalated)resolved · pending · escalated · not-applicable · optionalpending
school_idstringUnique identifier for the school or educational institutionoptionalSCHOOL_TX01
program_idstringUnique identifier for the remote learning programoptionalPROG_A1
Numbers 2 columns
uptime_hoursfloatTotal hours the device was online during the check period0 or more22.5
uptime_percentagefloatPercentage of time the device was online during the check period0 to 10093.8
Dates and times 2 columns
deployment_datedateDate the device was deployed to the student2023-04-13
last_uptime_checkdatetimeTimestamp of the most recent uptime check for the device2024-06-06T13:45:12
True or false 1 column
technical_issue_reportedbooleanIndicates if a technical issue was reported during the check periodfalse

Use it for

  • technical issu…44%53 of 120 rowsmean uptime percentag…90.2online6.8offline43.7unstab…

    An education dashboard

    The technical_issue_reported rate, uptime_percentage by connectivity_status and a breakdown of device_manufacturer. Excel, Power BI or Tableau.

  • Why do the 20 offline rows have a mean uptime_percentage of 6.8?

    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 logs with student_id, device_id and device_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows22 columns
Yours1,000 rows22 columnslocation_city: UK only

blueprint · remote-learning-device-uptime-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 22 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 device session per student.
  • Uptime is calculated in minutes and must match connectivity logs.
  • Device type and OS version required for each entry.
  • Session interruption reasons must be categorized (e.g., power loss, network drop, device fault).
  • Student anonymized ID mapped to school or learning program.
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-learning-device-uptime-log

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