Fall 2026

Methods of Teaching Young English Learners

Methods of teaching young English learners, focusing on identifying and implementing methodological approaches that coordinate instructional practice with current theories on language and learning.

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Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=18 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

Grade history

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average GPA
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Prerequisites

Course map

Declared in the Elementary Education: Early Childhood/English as a Second Language

  • Declared in the Elementary Education: Early Childhood/English as a Second Language
CURRIC 327

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Prerequisite text tree
  • Declared in the Elementary Education: Early Childhood/English as a Second Language

Professors

Fall 2026

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Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Fall 2020: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Fall 2021: 4.00 GPA, 100.0% A/AB (n=18 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

difficulty & workload

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Topics

  • Current theories on language and learning
  • Methodological approaches and techniques for teaching English learners

Skills

  • Identify, develop and implement methodological approaches and techniques for teaching English learners
  • Coordinate instructional practice with current theories on language and learning

Grades

Latest available · Fall 2022— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
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F

Grades over time

Through Fall 2022

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Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "bd79c822c309379dbff0dd956fbe7423d700bd6889e16bacb8cb703fe180a03b",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}