The Art of Diversity: Race and Representation in the Art and Visual Culture of the United States
Examines US art and visual culture from colonization to present, focusing on race, representation, and the inclusion/exclusion of groups.
Summary
Historical reviews of Nancy Marshall: Workload is low if you skip the textbook and focus on lectures, notes, and discussion questions for the take-home exams.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapNone
- None
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- None
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Nancy Marshall: Nancy Marshall is described as a sweet, passionate instructor who makes the class interesting. Reviewers note that lectures are the primary source for exam content, suggesting that reading the textbook is optional unless confusion arises.
NANCY R MARSHALL is recorded teaching in Fall 2018, Fall 2020, Fall 2025. 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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Historical reviews of Nancy Marshall: Nancy Marshall teaches an interesting class where exams rely on lectures rather than the textbook, making it an easy A for attentive students.
Recent recorded grades — Fall 2022: 3.56 GPA, 83.1% A/AB (n=231 letter grades); Spring 2024: 3.79 GPA, 91.1% A/AB (n=79 letter grades); Fall 2025: 3.85 GPA, 93.2% A/AB (n=280 letter grades).
difficulty & workload
Historical reviews of Nancy Marshall: Workload is low if you skip the textbook and focus on lectures, notes, and discussion questions for the take-home exams.
Historical reviews of Nancy Marshall: Students find the instructor sweet and passionate, with clear exam preparation strategies centered on lecture content.
Topics
Skills
Grades
Latest available · Fall 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 2025 · all course levels
GPA
Higher than % of other courses in this group.
Course GPAs · red marks this course’s range
letter grades
More recorded grades than % of other courses in this group.
Typical course in this group: letter grades.
About this comparison
1320 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.
Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.
Sources & history
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
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "f2cc3c58a295f3fcd9f66f1fb19d219f12315a1e5e55d00c0d979f7dbd86f90e",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}