Professional Development Opportunity
for NEMFA Members

Newly added for NEMFA Professional Development Opportunity:

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For additional course information

Edward Wilkin: wilkine@lhedu.org

(201) 575-1233

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AI in Music Education: Theory, Application, and Future Trends

 

APPROVEDl from Castleton University

for 3 Graduate Credits

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Course Dates: March 9 - April 19, 2025

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Course Description:

This graduate-level course explores the exciting intersection of artificial intelligence (AI) and music education. Dive into the transformative potential of AI to enhance creativity, personalize learning, and shape the future of music teaching and learning. Through hands-on exploration, critical analysis, and innovative project development, you will gain a comprehensive understanding of AI's role in music education.

 

Key Features:

• Hands-on Learning: Experiment with cutting-edge AI music tools and platforms.

• Critical Analysis: Examine the ethical implications and societal impact of AI in education.

• Project-Based Learning: Design and develop an AI-enhanced music education project.

• Future-Focused: Explore emerging trends and envision the future of music learning in the age of AI.​

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Attendance:

• Attendance is required at the NEMFA festival. If you cannot attend the festival but are interested in taking the course, PLEASE reach out to Eddie Wilkin.

Course Objectives:

Upon completing this course, you will be able to:

• Understand the core concepts of AI and its relevance to music education.

• Critically evaluate AI-powered music tools and platforms for various musical applications.

• Design and implement effective pedagogical strategies using AI to enhance the learning experience.

• Analyze the ethical and societal implications of AI in music education.

• Conduct research and contribute to the growing body of knowledge in this field.

 

Assignments:

• Weekly AI Journal Entries: Reflect on your learning journey, document your experiences with AI tools, and analyze their potential in music education.

• Reflection Paper 1: Examine your initial perspectives and potential biases towards AI in education.

• Reflection Paper 2: Synthesize your learning and articulate your evolving vision for AI in music education.

• Portfolio of AI Exploration: Showcase your understanding of AI tools by documenting your explorations, creating AI-generated music or analysis, designing an AI-enhanced lesson plan, and reflecting on future applications of AI in your teaching practice.

 

Grading:

• AI Journal Entries (Weekly): 20%

• Reflection Paper 1: 25%

• Reflection Paper 2: 25%

• Portfolio of AI Exploration: 30%

 

Who Should Take This Course:

This course is designed for music educators, graduate students, and anyone passionate about exploring the intersection of technology and music education. No prior experience with AI is required.

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Professional Development Options:

• 3 Graduate Credits: Pending approval from Castleton University.

• Certificate of Attendance: For those seeking professional development without graduate credit.

• 1-Credit Independent Study: For those interested in further exploration (pending approval from Castleton).​

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Course Cost for 3 Credits: $2,000 (includes all course materials).
 

To sign up for the course, please email

Eddie Wilkin: wilkine@lhedu.org

Email Eddie with any questions!