Spring 2027

Introduction to Exercise Psychology

Introduction to Exercise Psychology emphasizing psychological foundations of exercise, including motivational techniques, perception of effort, personality dynamics, and mental health.

offering recorded3 credits
Recorded instructors · Spring 2027 Morgan Shields4.0/5

Summary

1 / 6

Past student reviews · Dane Cook

Exams consisted mostly of short-answer questions that were time-consuming and required precise keywords for credit, with no textbook provided.

What you’ll be able to do

  • Discuss historical and current physical activity issues based on various perspectives with a specific emphasis on the psychological and psychobiological perspectives.

  • Recall information concerning the historical roots of Sport and Exercise Psychology.

  • Explain the relationship between bioscience and psychological concepts as they relate to physical activity and sport.

  • Apply basic tools to critically evaluate evidence in general and specific to exercise and sport psychology topics.

  • Describe the differences and similarities of Sport and Exercise Psychology.

  • Design exercise psychology experiments using the Gold Standard.

  • Apply knowledge in an integrated fashion.

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
KINES 350

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: 4.67/5 from 9 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.

Recent recorded grades — Fall 2016: 3.46 GPA, 67.6% A/AB (n=34 letter grades); Spring 2020: 3.62 GPA, 84.4% A/AB (n=32 letter grades); Fall 2020: 3.77 GPA, 90.2% A/AB (n=51 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

DANE COOK is recorded teaching in Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

KELLI KOLTYN is recorded teaching in Spring 2007, Spring 2008. Recorded history may be incomplete and does not establish a future schedule.

MORGAN SHIELDS is recorded teaching in Spring 2016, Fall 2016, Spring 2020, Fall 2020. 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 001Classroom Instruction0 / 500

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

Meeting source records
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Student experience

the class

Past student reviews · Dane Cook

Past students noted that Dr. Cook taught this course without a textbook to keep costs down, relying instead on detailed readings and lectures.

Recent recorded grades — Spring 2025: 3.92 GPA, 95.6% A/AB (n=45 letter grades); Fall 2025: 3.96 GPA, 98.0% A/AB (n=98 letter grades); Spring 2026: 3.88 GPA, 91.8% A/AB (n=49 letter grades).

difficulty & workload

Past student reviews · Dane Cook

Exams consisted mostly of short-answer questions that were time-consuming and required precise keywords for credit, with no textbook provided.

Past student reviews · Dane Cook

Attendance was necessary to succeed because much of the content was not on slides, and students had to know study details for exams.

Topics

  • Motivational techniques, perception of effort, personality dynamics, and mental health.
  • Historical roots of Sport and Exercise Psychology.
  • Relationship between bioscience and psychological concepts in physical activity and sport.
  • Differences and similarities of Sport and Exercise Psychology.
  • Exercise psychology experiment design.

Skills

  • Discussing physical activity issues from psychological and psychobiological perspectives; describing differences and similarities between Sport and Exercise Psychology.
  • Explaining the relationship between bioscience and psychological concepts in physical activity and sport.
  • Applying basic tools to critically evaluate evidence related to exercise and sport psychology.
  • Designing exercise psychology experiments using the Gold Standard.

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.09 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1280 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

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.

Download part 1
Selected offering source records
KINES 350 · Spring 2027

Introduction to Exercise Psychology

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": "1274:742:015268",
    "course_id": "KINES 350",
    "course_uid": "course_f727a66d864f62bf30dc962c",
    "term_id": "1274",
    "source_course_id": "015268",
    "source_subject_id": "742",
    "title": "Introduction to Exercise Psychology",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1Download part 2
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "f26bf2d00c8aca8f8a4f68eecb8d05a72b9dc31e1e258151e526ba8d3d0bbb1c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}