MUED 5814 03: Selected Topics in Music Educ

MUED 5814 - Selected Topics in Music Education

Summer 2026 Syllabus, Section 03, CRN 30742,

Credit hours: 3

Course Meeting Times

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Instructor

Daniel Keown

Professional Qualifications:
Ph.D. Music Education, University of Missouri-Kansas City, Masters in Choral Conducting, Indiana State University, Bachelor’s in Music Recording Technology, University of Wisconsin-Oshkosh.

Associate Professor of Music Education

Email: dkeown@ysu.edu

Office: Bliss Hall room 3153

Office Phone: 3645

Preferred Contact Method: Email

Communication Expectations:
Please email the instructor whenever you have a question.

How to Refer to me:
By my name is fine.

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Course Description

5814. Selected Topics in Music Education. This course will examine some of the major ideas about the value of music education that have been advanced by music education scholars and others, ranging from the ancient Greeks to contemporary philosophers and psychologists. May be repeated for credit with different topics. Prereq.: MUED 4823 or MUED 4825 or permission of instructor. 3 s.h.

This graduate seminar examines how artificial intelligence is reshaping music creation, the music industry, and music education. Through critical inquiry and applied projects, students progress from foundational understanding to industry analysis, creative experimentation, pedagogical application, and the development of informed leadership perspectives. Emphasizing the principles of understanding, adapting, advocating, and competing in response to emerging technologies, the course prepares musicians and educators to engage thoughtfully and responsibly in an AI-influenced musical future.

Course Readings

Group Title Author ISBN
Choose One Teaching with AI: A practical guide to a new era of human learning – First edition. Bowen, J. A., & Watson, C. E. 978142145

Bowen, J. A., & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning – First edition. JHU Press.

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Reading(s) Proposed Topic Due/To Prepare for Class
5/11 Module 1 to include Bowen and Watson’s Chapter 2 Understanding AI (LO8) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 1
5/18 Module 2 to include Bowen and Watson’s Chapter 3 AI Reshaping the Music Industry (LO1, 8) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 2
5/25 Module 3 to include Bowen and Watson’s Chapter 4 AI and Creative Practice (LO1, 2, 4, 8) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 3
6/1 Module 4 to include Bowen and Watson’s Chapter 6 Ethics, Ownership, and the Critical Side of AI (LO2, 3, 4, 8) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 4
6/8 Module 5 to include Bowen and Watson’s Chapters 11 & 12 AI in Music Education (LO2, 4, 5, 8) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 5
6/15 Module 6 to include Bowen and Watson’s Chapter 15 (as a PDF) Teacher-Centered Approaches with AI in Music Education (LO5, 6, 7, 8, 9) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 6
6/22 Module 7 to include Bowen and Watson’s Chapter Leadership, Policy, Professional Practice, and the Future of Music (LO6, 8, 9, 10) 1.Discussion Board Posts/Replies 2. Portfolio Journal 3. Project 7

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.