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Home Department for Course

Exercise Science and Sport Management

Course Prefix

SM

Course Number

4200

Course Description

This course will provide students with an overview of recreation programming across the age spectrum and diverse populations. Leisure programming trends and niche marketing are examined as well. This course also facilitates the understanding and application of the recreation program process for leisure delivery systems including an introduction to activity plans, program design, delivery and evaluation.

This class uses a hybrid format which gives students some flexibility and independence. It also allows for "flex time" for our high impact learning activies. The class performs service learning directly related to the course topic through volunteering with recreation programs both on campus at KSU and in the community.

Learning outcomes:

  1. Identify and describe examples of the wide spectrum of leisure programming beyond sport-oriented options
  2. Differentiate between programming across the age spectrum and special populations
  3. Analyze a non-sport recreation program personal experience
  4. Participate in experiential learning that engages with the campus and external community
  5. Collaborate with classmates to create and evaluate a recreation program for specific populations

Major Assessments

aligns with learning outcomes above

  1. in-class activities, quizzes
  2. in-class activities, quizzes
  3. service learning & observation reflection papers
  4. service learning reflection papers
  5. program plan, program plan presentation, peer evaluation

Modalities

Hybrid--33%

Special Designations

service learning

Evaluation Instrument used for Course Review and Approval

QM rubric through DLI

D2L Course Code/Course Offering

SM4200RecreationProgrammingforhybridcourseapproval

KSU Status/Last Review Date

6-2-2022

WCHHS_Course Evidence Template_SM4200_DeMartini_REV.xlsx (24 kB)
Hybrid Course Review from DLI

dcr_facilitator_guide revised.docx (403 kB)
Facilitator Guide

DCR abstract.docx (13 kB)
separate abstract

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