Spring 2027

Linguistic Theory and Child Language

Introduction to the linguistic study of child language within the generative theory, covering Universal Grammar, syntax, semantics, and cross-linguistic influence.

offering recorded3 credits
Recorded instructors · Spring 2027 Jacee Cho3.9/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.70 GPA, 77.8% A/AB (n=27 letter grades); Spring 2025: 3.71 GPA, 85.7% A/AB (n=28 letter grades); Spring 2026: 3.86 GPA, 93.1% A/AB (n=29 letter grades).

What you’ll be able to do

  • Explain main characteristics of first language acquisition (how children learn words, grammar, etc.)

  • Apply the current linguistic theory to explain child language

  • Be able to explain how language acquisition is underpinned by innate linguistic principles by drawing on concrete research findings

  • Critically evaluate and analyze research studies on first language

  • Demonstrate knowledge of current experimental methods on language acquisition

  • Interpret statistical data analysis of quantitative data

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
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BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Sophomore standing

  • Sophomore standing
ENGL 320

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Sophomore standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.30/5 from 10 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

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Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 3.70 GPA, 77.8% A/AB (n=27 letter grades); Spring 2025: 3.71 GPA, 85.7% A/AB (n=28 letter grades); Spring 2026: 3.86 GPA, 93.1% A/AB (n=29 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Universal Grammar and innate linguistic knowledge.
  • Acquisition of syntax and semantics.
  • Cross-linguistic influence in multilingual acquisition.
  • Empirical research on language acquisition theories.

Skills

  • Applying generative linguistic theory to explain child language development.
  • Critically evaluating and analyzing empirical research studies on first language acquisition.
  • Interpreting statistical data analysis of quantitative data related to language acquisition.

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
ENGL 320 · Spring 2027

Linguistic Theory and Child Language

Recorded 2026-10-14
Raw records
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  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:352:025310",
    "course_id": "ENGL 320",
    "course_uid": "course_bb91f158379d1efa9e3e777e",
    "term_id": "1274",
    "source_course_id": "025310",
    "source_subject_id": "352",
    "title": "Linguistic Theory and Child Language",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "59026138fb6f569b0e9dd3b3172be0906e02f9b91d53ea21a52943684381b454",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}