Learning Assessment Score Trends

This dataset provides a comprehensive record of student assessment scores across subjects, grade levels, and curriculum standards, enabling educators to analyze performance trends and identify areas for curriculum improvement. It includes detailed information on students, teachers, schools, and assessment types, supporting longitudinal tracking and actionable insights for educational stakeholders.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Tracking student performance trends across subjects and grade levels

Sample rows

preview · 8 of 200 rows · all 16 columns
assessment_idstringassessment_typestringmax_scorefloatteacher_namestringstudent_idstringstudent_namestringgrade_levelstringsubjectstringassessment_datedatescorefloatscore_percentagefloatteacher_idstringcurriculum_standardstringschool_idstringschool_namestringcommentsstring
ASM1001quiz10Linda GreenSTU001Evelyn MartinezGrade 3Reading2023-09-15880TCH01RD3.FL.2SCH01Oakwood ElementaryStrong fluency shown; ready for next level.
ASM1002exam20Linda GreenSTU002Rohan PatelGrade 2Reading2023-10-101575TCH01RD2.IP.3SCH01Oakwood ElementaryComprehension improving; focus on details.
ASM1003quiz10Sara WilsonSTU003George KimGrade 4Mathematics2023-11-02770TCH02MA4.NF.4SCH01Oakwood ElementarySolid grasp of fractions; minor mistakes.
ASM1004standardized test100David LeeSTU004Ava ChenGrade 5Mathematics2024-03-148989TCH03MA5.OA.1SCH01Oakwood ElementaryExcellent result; advanced problem solving.
ASM1005quiz10Linda GreenSTU005Noah JohnsonGrade KReading2023-09-28660TCH01RDK.IP.1SCH01Oakwood ElementaryBeginning letter recognition; needs practice.
ASM1006exam20Sara WilsonSTU006Fatima Al-FarsiGrade 2Mathematics2023-12-051785TCH02MA2.NBT.2SCH01Oakwood ElementaryGreat understanding of number patterns.
ASM1007quiz20Henry BakerSTU007Lucas AndersonGrade 6Science2023-11-151890TCH04SC6.LS.2SCH02Greenfield Middle SchoolExcellent lab skills; strong engagement.
ASM1008exam40Miriam JonesSTU008Chloe SmithYear 7Geography2024-01-203280TCH05GE7.LC.1SCH03Northside SecondaryGood map work; needs to expand answers.

What the 200 rows show

from the 200-row sample

Standardized test (assessment type) stands out: mean max_score is 100.0, against 31.7 for the rest.

  • 25median max_score
  • 6subjects
  • 18grade levels
  • 21school names
  • 22schools
  • 34teachers
Mean max_score by assessment_type200 rows
05010036.1exam74 rows13.2quiz68 rows100.0standard…32 rows67.7project26 rows
max_score200 rows, in bands of 10
03060050521453200047050100max_score →

Median 25, from 10 to 100.

teacher_name200 rows · top 10 of 38 values
  1. Samuel Lee14
  2. Sara Wilson11
  3. Linda Green9
  4. Emily Chen9
  5. Jenny Wu8
  6. Ivan Petrov8
  7. Emily Carter7
  8. Ming Zhao7
  9. Rachel Kim7
  10. Henry Baker6
16 columns by typefrom the column list below
  • string 12
  • float 3
  • date 1

Columns

16 columns in three groups
blueprint · 16 columns
columntypedescriptionexample
Text 12 columns
assessment_idstringUnique identifier for each assessment event or instance.uniqueASM1001
student_idstringUnique identifier for each student.STU001
student_namestringFull name of the student.Evelyn Martinez
grade_levelstringGrade or year level of the student at the time of assessment (e.g., 'Grade 5', 'Year 10').Grade 3
subjectstringAcademic subject for which the assessment was conducted (e.g., Mathematics, Science).Reading
assessment_typestringType of assessment (e.g., quiz, exam, project, standardized test).quiz
teacher_idstringUnique identifier for the teacher who administered the assessment.optionalTCH01
teacher_namestringFull name of the teacher who administered the assessment.optionalLinda Green
curriculum_standardstringCurriculum standard or learning objective addressed by the assessment.optionalRD3.FL.2
school_idstringUnique identifier for the school.optionalSCH01
school_namestringName of the school where the assessment was conducted.optionalOakwood Elementary
commentsstringOptional comments or notes related to the assessment or student performance.optionalStrong fluency shown; rea…
Numbers 3 columns
scorefloatScore achieved by the student in the assessment.0 or more8
max_scorefloatMaximum possible score for the assessment.0 or more10
score_percentagefloatScore as a percentage of the maximum score (calculated as score/max_score*100).0 to 100 · optional80
Dates and times 1 column
assessment_datedateDate when the assessment took place.2023-09-15

Use it for

  • median max sco…25200 rowsmean max score by ass…36.1exam13.2quiz100.0stan…67.7proj…

    An education dashboard

    Max_score by assessment_type and a breakdown of teacher_name. Excel, Power BI or Tableau.

  • Why do the 32 standardized test rows have a mean max_score of 100.0?

    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 assessments with student_id, student_name and grade_level to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 16 columns, your size and your rules. See 20 rows before you pay.

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This dataset200 rows16 columns
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blueprint · learning-assessment-score-trends

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 16 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
  • Include student ID and assessment type
  • Record score and attempt date
  • Flag repeated low scores
  • Exclude non-standard assessments
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
learning-assessment-score-trends

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