Spring 2027

Research Methods in Applied Linguistics

Introduction to research paradigms in applied linguistics and second language acquisition, preparing students to critically evaluate published research.

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Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Fall 2021: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 3.93 GPA, 100.0% A/AB (n=15 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=10 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ENGL 711

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

Prerequisite text tree
  • Graduate/professional standing

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 2021: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 3.93 GPA, 100.0% A/AB (n=15 letter grades); Fall 2025: 3.85 GPA, 90.0% A/AB (n=10 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Research paradigms in applied linguistics and second language acquisition
  • Critical evaluation of published research

Skills

  • Critically evaluating published research in applied linguistics and second language acquisition
  • Understanding various research paradigms in applied linguistics and second language acquisition

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

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

Sources & history

UW–Madison

Catalog & offerings

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Grade history

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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": "29110c620ac2a17efabe940e78bcc692b1a356a17a962ba18db6f232aaa90504",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}