Spring 2027

Learning Analytics Theory and Practice

Learning Analytics Theory and Practice applies data mining to large educational datasets to gain insights into how people learn.

offering recorded5–6 credits
Recorded instructors · Spring 2027 Xuesong Cang3.7/5Dariane Drake

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.85 GPA, 84.6% A/AB (n=13 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

What you’ll be able to do

  • Identify the fundamentals of machine learning and database interventions

  • Analyze data ethics, regulations, and privacy issues

  • Utilize prediction methods

  • Engage in structure discovery

  • Demonstrate understanding of relationship mining

Source: UW Guide

Grade history

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

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
EDPSYCH 525

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 1 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.

No course-specific feedback yet.

Recent recorded grades — Spring 2025: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=7 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

DARIANE DRAKE is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Online Only0 / 250

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

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2024: 3.85 GPA, 84.6% A/AB (n=13 letter grades); Spring 2025: 3.95 GPA, 100.0% A/AB (n=11 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Learning analytics methods and applications across institutional, classroom, and assessment contexts
  • Machine learning and database interventions
  • Data ethics, regulations, and privacy

Skills

  • Fundamentals of machine learning and database interventions
  • Analysis of data ethics, regulations, and privacy issues
  • Utilization of prediction methods
  • Structure discovery
  • Understanding of relationship mining

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
EDPSYCH 525 · Spring 2027

Learning Analytics Theory and Practice

Recorded 2026-10-14
Raw records
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:315:025874",
    "course_id": "EDPSYCH 525",
    "course_uid": "course_57e0546fb6f1e3514843dbc7",
    "term_id": "1274",
    "source_course_id": "025874",
    "source_subject_id": "315",
    "title": "Learning Analytics Theory and Practice",
    "credits_min": 5,
    "credits_max": 6,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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": "eb06d16d8fdb156c7b08ecccd0eea6512f355520a86bc686f1cfdf6dd82293f2",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}