Fall 2026

Reading and Writing Across the Curriculum in Early Childhood

Teaches early childhood educators strategies and activities for instructing young children in literacy and reading.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2020: 3.92 GPA, 95.0% A/AB (n=20 letter grades); Fall 2021: 3.92 GPA, 94.7% A/AB (n=19 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

CURRIC 314

CURRIC 315

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Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2020: 3.92 GPA, 95.0% A/AB (n=20 letter grades); Fall 2021: 3.92 GPA, 94.7% A/AB (n=19 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Literacy instruction and reading comprehension strategies for young children.

Skills

  • Instructing young children in literacy.
  • Orchestrating multiple sources of information for young readers.

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

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2022

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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": "9f24810e41f54f1817082eea90ac3deece5eb25d6bba1a68e7df5bbe397edb87",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}