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Services

Services

Services

 

Learning Design and Technology for Teaching

 

We provide Canvas and instructional technology training prior to the beginning of each semester. Faculty are always welcome to contact the Head of Instructional Design to discuss Canvas LMS and other instructional design and technology questions. Access our Canvas LMS at https://canvas.rmc.edu; use your RMC email and password to sign in. We invite you to visit our Canvas resources.

 

We not only provide support on how to use and troubleshoot instructional technology systems, but also how they can be incorporated into course design to enhance learning and student engagement. The Head of Instructional Design & Technology consults with faculty on strategies and practices related to active learning, student collaboration and learning assessment. Faculty receive assistance in assignment design and exploring diverse ways for students to learn and demonstrate academic progress.

 

We have created the Teaching Toolkit website for faculty, which includes tutorials on technology tools by function and by pedagogical goal, a searchable FAQ database, and current books and articles on teaching and learning.

 

We would like to invite faculty to consider using Digital Storytelling to enhance student learning and engagement.

 

Learn more about Making and Experiential Learning.

 

AI in Teaching and Learning

Artificial Intelligence (AI), increasingly embedded in the technologies we use, can provides powerful support for educators and student learning, but it also increases risks. We intend to provide up-to-date resources to assist RMC faculty and students in learning about Generative AI and using it.

 

Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations (The U.S. Department of Education Office of Educational Technology, 2023)

Integrating Generative AI into Higher Education: Considerations (EDUCAUSE Review, 2023)

AI Literacy in Teaching & Learning: A Durable Framework for Higher Education (An EDUCAUSE Group Paper, 2024)

 

 

AI Literacy

 

Generative AI in Teaching

including:

  • Student AI Usage Guidance
  • Student Training Modules
  • Teaching AI Usage Guidance
  • Research AI Usage Guidance
  • Faculty Training Modules
  • Staff AI Usage Guidance
  • AI Tools

 

brief descriptions of:

  • Communicating with students about AI
  • Drafting learning outcomes and rubrics; 
  • Brainstorming discussion topics and authentic assessment ideas
  • Engaging students in active learning, e.g. evaluating AI output, improving upon AI output, and visualizing concepts with AI 

 

     Use cases, AI tools and other resources

 

 

AI Tools

We caution that information uploaded or entered by the user to the AI system may not be protected. Therefore it is extremely important that the user does not provide confidential or private text, data, images or media while using AI tools; the user must also observe the copyright law. In addition, it is often unclear what data the AI models are trained on. The results generated by AI may be biased, inaccurate or made-up. Users are strongly encouraged to verify the output; please refer to the "AI Literacy" section on this page.

Listed below is a small sample of AI Tools:

 

 Text Generation

 Image Generation

 

Books for Improving Teaching and Learning

Book cover: Small Teaching Online
Book cover: Geeky pedagogy: A guide for intellectuals, introverts, and nerds who want to be effective teachers
Book cover: The Blended Course Design Workbook
Book cover: Minds Online: Teaching Effectively with Technology
Book cover: Teaching at Its Best
Book cover: Flipped Learning

 

Contact: Lily Zhang