Japanese Conversation

Japanese Conversation enhances oral communication skills in everyday contexts by examining terminology, phrases, speech styles, and strategies for real-life situations.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.92 GPA, 100.0% A/AB (n=19 letter grades); Fall 2024: 3.92 GPA, 95.0% A/AB (n=20 letter grades); Fall 2025: 3.90 GPA, 93.3% A/AB (n=15 letter grades).

What you’ll be able to do

  • understand the difference between grammars and expressions commonly used in conversational Japanese and written Japanese

  • become familiar with a variety of strategies used to initiate, maintain and close a conversation, to overcome the lack of vocabulary knowledge, and to become a supportive listener

  • appreciate different styles of speech used depending on the contexts, relationship with the interlocutors, and the speakers’ identities

  • understand main ideas on familiar topics and some unfamiliar topics delivered through conversations

  • state and support your views on a variety of familiar topics and in uncomplicated situations

  • narrate a story and make a presentation on familiar topics with preparation

  • establish habits of reflecting on your strengths and weaknesses as a speaker of Japanese and consider ways to make improvements

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

ASIALANG 204 or placement into ASIALANG 303

ASIALANG 376

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

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

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Meeting source records

Student experience

the class

Recent recorded grades — Fall 2023: 3.92 GPA, 100.0% A/AB (n=19 letter grades); Fall 2024: 3.92 GPA, 95.0% A/AB (n=20 letter grades); Fall 2025: 3.90 GPA, 93.3% A/AB (n=15 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Terminology, phrases, speech styles, and strategies for real-life conversations.
  • Differences between conversational and written Japanese grammars and expressions.
  • Speech styles dependent on context, interlocutor relationships, and speaker identities.
  • Reflecting on speaking strengths and weaknesses to improve Japanese proficiency.

Skills

  • Oral communication skills including initiating, maintaining, and closing conversations, as well as becoming a supportive listener.
  • Distinguishing between grammars and expressions used in conversational versus written Japanese.
  • Appreciating different speech styles based on context, interlocutor relationships, and speaker identities.
  • Stating and supporting views on familiar topics in uncomplicated situations.
  • Narrating stories and making presentations on familiar topics with preparation.
  • Understanding main ideas on familiar and unfamiliar topics delivered through conversations.

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

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records

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Raw records
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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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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": "a44ffc09e89dcef16348564216da6e2f1005a03a59705551e1fa0f9a50af930b",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}