Education, Technology, and Society: Ai, Big Data, and the Digital Divide

Intro to education, technology, and society covering AI, big data, and the digital divide in domestic and global contexts.

offering recorded3 credits
Recorded instructors · Spring 2027 Ran Liu3.7/5Batuhan Aydagul

Summary

1 / 3

Recent recorded grades — Fall 2024: 4.00 GPA, 100.0% A/AB (n=29 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=26 letter grades); Fall 2025: 3.95 GPA, 96.4% A/AB (n=28 letter grades).

What you’ll be able to do

  • Describe the historical development of modern technology use in K12 and higher education

  • Explain how core technologies have shaped K12 and higher educational systems

  • Debate the role of specific types of technologies in the context of higher education and/or K12 education

  • Analyze sociopolitical forces that govern adoption and use of emerging trends in educational technology

  • Propose solutions for sociopolitical issues that arise from the use of educational technology in K12 and higher education

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

None

  • None
EDPOL 123

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

Prerequisite text tree
  • None

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 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.

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Historical instructors & teaching patterns

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 001Classroom Instruction0 / 300
LEC 002Classroom 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 — Fall 2024: 4.00 GPA, 100.0% A/AB (n=29 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=26 letter grades); Fall 2025: 3.95 GPA, 96.4% A/AB (n=28 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • AI, big data, and the digital divide
  • Domestic and global educational technology issues
  • Sociopolitical factors and stakeholder perspectives
  • Historical development of technology in K12 and higher ed

Skills

  • Describe historical development of technology in K12 and higher education
  • Explain how core technologies shape educational systems
  • Analyze sociopolitical forces governing edtech adoption
  • Propose solutions for sociopolitical edtech issues

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

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

Selected offering source records
EDPOL 123 · Spring 2027

Education, Technology, and Society: AI, Big Data, and the Digital Divide

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": "1274:310:026808",
    "course_id": "EDPOL 123",
    "course_uid": "course_44948aaecd3d8adf8c1ecd87",
    "term_id": "1274",
    "source_course_id": "026808",
    "source_subject_id": "310",
    "title": "Education, Technology, and Society: AI, Big Data, and the Digital Divide",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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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": "7ed2fbf7b163aca071e2e63ad5f27886db838b1a769bd0cfa64293f2ab16d57c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}