Spring 2027

Scientific Inquiry in Athletic Training

Scientific Inquiry in Athletic Training covers evidence-based practice concepts, methods, and strategies, while developing critical reading and scientific writing skills.

offering recorded3 credits
Recorded instructors · Spring 2027 Leah Smith

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.87 GPA, 100.0% A/AB (n=15 letter grades); Spring 2025: 3.88 GPA, 92.3% A/AB (n=13 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=20 letter grades).

What you’ll be able to do

  • Demonstrate the importance of evidence and evidence guided practice in athletic training.

  • Use library resources to identify scientific articles about injuries specific to their clinical rotation.

  • Apply the levels of evidence in the literature and how to identify and make clinical recommendations related to common clinical questions.

  • Apply the literature evaluation process learned in this course to determine the level of evidence for common physical medicine interventions.

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

KINES 650

KINES 656 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027
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 / 200

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

Recent recorded grades — Spring 2024: 3.87 GPA, 100.0% A/AB (n=15 letter grades); Spring 2025: 3.88 GPA, 92.3% A/AB (n=13 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=20 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Evidence-based practice concepts and methods
  • Identifying scientific articles on clinical injuries
  • Levels of evidence and clinical recommendations

Skills

  • Critical reading and scientific writing
  • Applying levels of evidence for clinical recommendations
  • Literature evaluation for physical medicine interventions

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.

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Selected offering source records
KINES 656 · Spring 2027

Scientific Inquiry in Athletic Training

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": "1274:742:025678",
    "course_id": "KINES 656",
    "course_uid": "course_589aa6394355ef6f480dcf94",
    "term_id": "1274",
    "source_course_id": "025678",
    "source_subject_id": "742",
    "title": "Scientific Inquiry in Athletic Training",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b070e516a09475aade00b1ab69069e630e246085ecab2e9b69c8a7a425e0d7f7",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}