Spring 2027

Introduction to the Design of Educational Experiments

Introduction to the design of educational experiments covering classical experimental designs, factorial treatment arrangements, confounding, and repeated measures design in educational research.

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Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=20 letter grades); Fall 2024: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

ED PSYCH 761

EDPSYCH 762 used by

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Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=20 letter grades); Fall 2024: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades).

difficulty & workload

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Topics

  • Classical experimental designs, factorial treatment arrangements, confounding, and repeated measures design.

Skills

  • Application of classical experimental designs, factorial treatment arrangements, confounding, and repeated measures design to educational research.

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

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Sources & history

UW–Madison

Catalog & offerings

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "bf22dbb9e7c9bfea4c4362a22156729c10c3b9289c72dbb4109b6af8943f07b2",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}