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College of Science

School of Computing and Design

Introduction to AI Tools for Teaching and Learning

The MIST Program will be offering a fully online summer course open to all educators and trainers entitled "Introduction to AI Tools for Teaching & Learning" starting June 3rd!

This course will provide you with the foundational knowledge and skills related to teaching and learning with Artificial Intelligence tools, including how to ethically use these tools, detect AI-generated content, and develop policies that govern the use of these tools in the classes you teach.

Course Learning Outcomes

  • Articulate definitions and categories of AI, including common AI applications in education.
  • Apply AI tools to create original text, images, audio, and other digital content.
  • Discuss the implications of using AI tools in teaching and learning, considering impacts on educational equity.
  • Evaluate strengths and limitations of various AI content detection tools and strategies.
  • Formulate policies regarding appropriate and ethical use of AI tools within their individual courses and instructional contexts.
  • Explore ongoing learning opportunities related to AI tools.
  • Compile a comprehensive portfolio demonstrating application of knowledge and skills gained throughout the course related to applying AI tools equitably and ethically in teaching and learning contexts.

Course Schedule

The course schedule is designed to be completed within 8 weeks asynchronously.

Week 1: Getting Started. Complete the Orientation Module, Module 1 instruction, quiz, and reflective activity (discussion).

Week 2: Generating Content. Complete Module 2 instruction, quiz, and reflective activity (discussion).

Week 3: Examining Equity. Complete Module 3 instruction, quiz, and reflective activity (journal).

Week 4: Evaluating AI Detection. Complete Module 4 instruction, quiz, and reflective activity (discussion).

Week 5: AI Policy Development & AI Resources. Complete Module 5 instruction, quiz, and reflective activity (journal).

Week 6: Exploring Ongoing Learning. Complete Module 6 instruction, final exam, and reflective activity (journal).

Week 7: Curating an AI Portfolio. Complete Module 7 instruction, quiz, and reflective activity (final portfolio to be shared via discussions).

Week 8: Practical Connections. Complete Module 8 instruction, quiz, and reflective activity (reflective paper).

Total time commitment: ~32 hours. Plan to spend at least 4 hours per week working on the course for 8 weeks.

Course Syllabus

Course Registration

Current MIST students can add the course via their student account upon the summer course registration period opening in April.

For non-CSUMB students, registration will take place via Open University, which charges a flat tuition rate of $280 per unit.

Through Open U, you can take CSUMB courses in Fall, Spring, or Summer for credit, personal enrichment, or career advancement without the formal university admission process.

The units earned after completion of this course transfer into the MIST program and are also reflected upon your formal CSUMB transcripts!

Course Registration