Remote Teacher Engagement Tracker

This dataset tracks remote teacher engagement and performance in online learning environments, capturing session-level details, engagement metrics, feedback, and intervention actions. It enables education leaders and edtech teams to analyze teaching quality, identify support needs, and optimize virtual instruction across distributed schools. The data is ideal for trend analysis, targeted interventions, and continuous improvement of remote teaching practices.

  • last updated 2 Feb 2026
  • by GoMask
The brief that made it

Monitor and analyze remote teacher engagement and performance trends

Sample rows

preview · 8 of 60 rows · all 21 columns
teacher_idstringintervention_typestringstudent_engagement_scorefloattechnology_issues_reportedbooleandepartmentstringteacher_namestringemailstringschool_idstringschool_namestringsession_idstringsession_datedatesession_start_timedatetimesession_end_timedatetimescheduled_duration_minutesintegeractual_duration_minutesintegerattendance_countintegerteacher_engagement_scorefloatsession_feedback_ratingfloatfeedback_commentsstringintervention_flagbooleanrecordedboolean
TCHR001none89.2falseMathematicsEmily Carteremily.carter@oakridge.eduSCHL01Oakridge AcademySESS100012024-02-142024-02-14T09:00:002024-02-14T10:00:0060622592.84.7Great interactive session with clear explanations.falsetrue
TCHR002none83.4trueScienceSanjay Patelsanjay.patel@greenvalley.orgSCHL02Green Valley SchoolSESS100022024-03-032024-03-03T08:30:002024-03-03T09:30:0060591887.34.4Detailed slides, but a minor tech glitch at the start.falsefalse
TCHR003none94.5falseEnglishRachel Kimrachel.kim@sunnydale.eduSCHL03Sunnydale HighSESS100032024-02-212024-02-21T11:00:002024-02-21T12:15:00607530955Outstanding session, very engaging.falsetrue
TCHR004coaching72falseHistoryMichael Lopezmichael.lopez@oakridge.eduSCHL01Oakridge AcademySESS100042024-02-222024-02-22T14:00:002024-02-22T15:05:0060652078.53.9Could use more student activities.truefalse
TCHR005none80.3falseArtLinda Huanglinda.huang@lakeside.orgSCHL04Lakeside SchoolSESS100052024-03-102024-03-10T10:15:002024-03-10T11:15:0060601282.14.1Fun exercises, all materials provided.falsetrue
TCHR006none78.9falsePhysicsDavid Okoyed.okoye@mountainview.eduSCHL05Mountainview CollegeSESS100062024-01-302024-01-30T13:00:002024-01-30T14:10:0060701686.74Teacher clarified complex concepts well.falsefalse
TCHR007technical support79.5trueChemistryFatima El-Sayedfatima.elsayed@greenvalley.orgSCHL02Green Valley SchoolSESS100072024-02-092024-02-09T12:30:002024-02-09T13:40:00607019844.2Good pace, some minor technical trouble.truetrue
TCHR008none87.6falsePhysical EducationJason Millerj.miller@sunnydale.eduSCHL03Sunnydale HighSESS100082024-03-042024-03-04T07:45:002024-03-04T08:40:0045552391.44.6Energetic session, well organized.falsefalse

What the 60 rows show

from the 60-row sample

None (intervention type) stands out: mean student_engagement_score is 82.0, against 75.7 for the rest.

  • 13%technology_issues_reported = true
  • 80.3median student_engagement_score
  • 14schools
  • 14school names
  • 52median scheduled_duration_minutes
  • 54.5median actual_duration_minutes
Mean student_engagement_score by intervention_type60 rows
05010074.8coaching3 rows76.8technica…5 rows74.6peer obs…2 rows82.0none50 rows
student_engagement_score60 rows, in bands of 10
02040000000124323050100student_engagement_score →

Median 80.3, from 68.7 to 94.5.

department60 rows · top 10 of 17 values
  1. Mathematics8
  2. English7
  3. Chemistry6
  4. History5
  5. Art5
  6. Biology5
  7. Physics4
  8. Physical Education4
  9. Music4
  10. Computer Science2
21 columns by typefrom the column list below
  • string 9
  • integer 3
  • float 3
  • date 1
  • datetime 2
  • boolean 3

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 9 columns
teacher_idstringUnique identifier for each teacher.uniqueTCHR001
teacher_namestringFull name of the teacher.Emily Carter
emailstringTeacher's email address.uniquerachel.kim@sunnydale.edu
school_idstringUnique identifier for the school or institution.SCHL01
school_namestringName of the school or institution.Oakridge Academy
departmentstringDepartment or subject area the teacher belongs to.optionalMathematics
session_idstringUnique identifier for each online teaching session.uniqueSESS10001
feedback_commentsstringOptional qualitative feedback or comments from students or observers.optionalSession was well paced.
intervention_typestringType of intervention or support provided (if any).coaching · technical support · peer observation · none · optionalnone
Numbers 6 columns
scheduled_duration_minutesintegerPlanned duration of the session in minutes.1 or more60
actual_duration_minutesintegerActual duration of the session in minutes.0 or more62
attendance_countintegerNumber of students who attended the session.0 or more25
teacher_engagement_scorefloatQuantitative score representing teacher engagement (e.g., 0-1 or 0-100).0 to 10092.8
student_engagement_scorefloatAverage student engagement score for the session (e.g., 0-1 or 0-100).0 to 100 · optional89.2
session_feedback_ratingfloatAverage feedback rating for the session (e.g., 1-5 stars).1 to 5 · optional4.7
Dates and times 3 columns
session_datedateDate of the online teaching session.2024-02-14
session_start_timedatetimeStart time of the session.2024-02-14T09:00:00
session_end_timedatetimeEnd time of the session.2024-02-14T10:00:00
True or false 3 columns
technology_issues_reportedbooleanIndicates if any technology issues were reported during the session.optionalfalse
intervention_flagbooleanIndicates if the session triggered a support or intervention action.optionalfalse
recordedbooleanIndicates if the session was recorded.optionaltrue

Use it for

  • technology iss…13%8 of 60 rowsmean student engageme…74.8coac…76.8tech…74.6peer…82.0none

    An education dashboard

    The technology_issues_reported rate, student_engagement_score by intervention_type and a breakdown of department. Excel, Power BI or Tableau.

  • Why do the 50 none rows have a mean student_engagement_score of 82.0?

    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 teachers with teacher_name, email and school_id to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 21 columns, your size and your rules. See 20 rows before you pay.

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This dataset60 rows21 columns
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blueprint · remote-teacher-engagement-tracker

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 21 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 record represents one teacher per week.
  • Engagement scores are based on attendance, interaction, and feedback metrics.
  • Low engagement triggers an intervention flag.
  • Teaching hours must exceed 10 per week to count as 'active'.
  • Feedback rating below 3 requires follow-up.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
remote-teacher-engagement-tracker

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