Spring 2027

Conversations and Visualizations

Conversations and Visualizations introduces communication methods for learning analytics data, focusing on verbal conversations and visual representations to make data meaningful for clients.

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

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.75 GPA, 80.0% A/AB (n=10 letter grades).

What you’ll be able to do

  • Describe the benefits of data visualization for learning analytics

  • Evaluate and select visualizations that are appropriate for a given data story, context, and audience

  • Code and create new information visualizations

  • Discuss practices, issues, challenges, and opportunities surrounding the use of learning analytics visualizations

  • Identify and use appropriate accessibility strategies for visualizations

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
EDPSYCH 615

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

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

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.75 GPA, 80.0% A/AB (n=10 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Communication methods for learning analytics data
  • Verbal conversations and visual representations as presentation modes
  • Practices, issues, challenges, and opportunities in learning analytics visualizations
  • Accessibility strategies for visualizations

Skills

  • Creating stakeholder reports and presentations using learning analytics data
  • Evaluating and selecting appropriate visualizations for specific contexts and audiences
  • Coding and creating new information visualizations
  • Applying accessibility strategies to visualizations

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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Grade history

Recorded grade distributions by term, section, and instructor.

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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": "a1cc25e68ade85616f0f163d36ba147b5413198dc5358d99d07b30e5bf7d8170",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}