Spring 2027

People, Wildlife and Landscapes

People, Wildlife and Landscapes explores human-wildlife relationships across historic, contemporary, tropical, and temperate landscapes.

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

Summary

1 / 6

Past student reviews · Lisa Naughton

Grading could be difficult at times, though expectations were clear to the student.

What you’ll be able to do

  • Compare and evaluate the three types of social research in terms of how they engage with biodiversity conservation.

  • Differentiate attitudes, values and norms and explain why sociologists suggest norm change is the best path to changing human environmental behavior.

  • Analyze shifts in attitudes to wildlife among the public in the U.S. and in Global South settings.

  • Analyze the social and political factors shaping popular explanations for wildlife decline and human-wildlife conflict.

  • Organize evidence to guide policy makers how to reduce wildlife loss or how to resolve conflicts with wildlife including invasive species.

  • Improve professional writing and speaking skills.

  • Practice measuring attitudes toward wildlife.

Source: UW Guide 1 UW Guide 2 UW Guide 3

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Junior standing

  • Junior standing
C&ESOC/ENVIRST/GEOG 434

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

Prerequisite text tree
  • Junior standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

LISA NAUGHTON is recorded teaching in Spring 2007, Fall 2008, Spring 2010, Spring 2011, Fall 2013, Fall 2014, Spring 2016, Spring 2017, Spring 2019, Fall 2023, 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

Spring 2027

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Student experience

the class

Past student reviews · Lisa Naughton

Lisa Naughton was a supportive instructor who cared about her students and the material. One student described the class as excellent.

Recent recorded grades — Spring 2019: 3.22 GPA, 56.5% A/AB (n=23 letter grades); Fall 2023: 3.61 GPA, 77.8% A/AB (n=18 letter grades); Fall 2025: 3.75 GPA, 88.9% A/AB (n=18 letter grades).

difficulty & workload

Past student reviews · Lisa Naughton

Grading could be difficult at times, though expectations were clear to the student.

Past student reviews · Lisa Naughton

The instructor was perceived as a great person who genuinely cared about the students and what she taught.

Topics

  • Human modification of physical environments and impacts on wild animal populations
  • Hunting, domestication, and species introduction
  • Attitudes, values, norms, and human environmental behavior
  • Social and political factors in wildlife decline and human-wildlife conflict

Skills

  • Comparing and evaluating social research methods for biodiversity conservation
  • Analyzing shifts in public attitudes toward wildlife in diverse geographic contexts
  • Organizing evidence to inform wildlife policy and conflict resolution strategies
  • Measuring attitudes toward wildlife

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

No offering records for the selected term.

Raw records
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Student reviews

Original comments behind the course and instructor summaries.

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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
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  "task_version": "17",
  "output_id": "df979af62abc135719b4ca4a65a66168f1868283d4313a249ac1c5e6a20a8a4b",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}