This is a course description NOT a final syllabus for the course.
Instructor: Chih-Hsiung Tu, Ph.D.: Email Address: Chih.Tu@Nau.Edu
Office address: PO Box 5774 Flagstaff, AZ 86011Phone: 928-523-0671 Fax: 928-523-1929
Office hours: By appointment via e-mail, phone, Zoom, or in person
Credit hours: 3
ETC 556 or ETC 567
This course focuses on technology planning and professional development for educators, with an emphasis on integrating Generative Artificial Intelligence (GenAI) into teaching and learning. Students will acquire knowledge regarding project management, instructional design, and Quality Matters (QM) while developing a GenAI-based instructional course for pre-service teachers.
This course is structured to facilitate teaching, learning, and designing face-to-face, blended, and/online instructions. Activities are learner-centered, involving individual and cooperative learning, critical thinking about current topics in Educational Technology and development of face-to-face, blended, or online artifacts to support student learning.
By the end of the course, students will be able to:
Demonstrate understanding of key Project Management processes and Quality Matters standards.
Design an instructional course that integrates GenAI for pre-service teachers.
Apply instructional design principles to create effective learning materials and instructional activities.
Evaluate and provide constructive feedback on peers' instructional designs.
Text and other Materials: Required Textbook:
This is a textbook free course. Instead, this course uses Open Educational Resources (OERs) including online readings, websites, and videos. Please find these required "readings" in each Module.
Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (May 2023). Artificial Intelligence and the Future of Teaching and Learning: Insights & Recommendations. Links to an external site. Office of Educational Technology: Washington DC.
Wiley, D. (2018). Project Management for Instructional Designers (1st ed.). EdTech Books. https://dx.doi.org/10.59668/pm4id
Resources: Recommended optional materials/references
Office of Educational Technology. (2023). Artificial Intelligent.
Office of Educational Technology at Department of Education in Washington DC contains rich information of AI and GenAI. Throughout the class, you should peruse all text and video resources to understand the trend of AI in education.
The Centre for Educational Research and Innovation (CERI) . (2023). Artificial Intelligence and the Future of Skills. Organization for Economic Co-operation and Development (OECD).
Course will be delivered on NAU Canvas at: https://nau.edu/lms/
This is a course description not a final syllabus for the course.
It is important for those interested in this class to consult their program advisory and the instructor before enrolling. If you have questions regarding this course, please e-mail the instructor, Chih-Hsiung Tu, Ph.D. at Chih.Tu@Nau.Edu or 928-523-0671.