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AI Literacy & Help Guide

AI Literacy & Help Guide

 

Student - Faculty Collaboration on AI

Teaching Resources

Four Singularities for Research: The rise of AI is creating both crisis and opportunity - Ethan Mollick
How the rise of AI is affecting writing, publishing, and research.

AI & Accessibility - Center for Teaching Innovation, Cornell University

Using AI to Help Students Teach in Order to Learn - Inside Higher Ed
"By changing ChatGPT’s system prompt, we can create content misunderstandings that students can correct, write Joel Nishimura and Anna Cunningham."

New BYU computer science study shows four ways students are actually using ChatGPT - Brigham Young University News
A survey finds 4 categories of use.

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions - Beth Buyserie, Ph.D., & Travis N. Thurston, Ph.D.
Open access ebook on Pressbooks.

Instructors as Innovators: a Future-focused Approach to New AI Learning Opportunities, With Prompts - Ethan Mollick & Lilach Mollick
A paper that explores how instructors can leverage generative AI to create personalized learning experiences for students that transform teaching and learning. 

AI Detection in Education is a Dead End - Leon Furze
How AI detection tools work and why they don't work.

Incorporating Generative AI in Teaching and Learning: Faculty Examples Across Disciplines - Columbia University Center for Teaching and Learning
Faculty across disciplines provide a glimpse into their approaches as they experiment with AI in their classrooms.

Handout: AI and the Future of Teaching and Learning - U.S. Dept of Education, Office of Educational Technology (PDF)
Two-page list of key insights and recommendations from the U.S. Dept. of Education.

Understanding AI Writing Tools and their Uses for Teaching and Learning at UC Berkeley.  Berkeley Center for Teaching and Learning

Assignment ideas

Assignments must have a high intrinsic value if students are to be motivated to complete and learn from them. 

How do you Create Intrinsic Motivation in Students?

I Care 

You want students to care about the assignment, so there must be a purpose to it. You want to state why it is important to learn this skill and how it could positively impact your future career.  

I Can 

You want students to feel like they can accomplish this goal. You want them to have a high self-efficacy. 

  • Self-efficacy is a person’s belief that they can perform tasks correctly and reach the desired outcome. Your self-efficacy changes depending on the subject domain. Having students develop a mastery of skills will increase their self-efficacy.  

  • To increase self-efficacy, start with smaller problems and slowly build into more complex problems. Also, give positive feedback and reinforcement.   

I Matter 

  • “We will need to make the value of the student ideas and voice more visible” (Bowen and Watson, 2024, p. 186).  

  • When designing assignments, exercises, or assessment items be sure to emphasize how successfully learning this skill will improve your understanding and help you on the job market (José Antonio Bowen & C. Edward Watson, 2024.)

Questions to Address when creating an AI Assignment

Intrinsic Motivator Components Questions Addressed
Purpose "I care" Why

What skills or knowledge will I gain?

How will I be able to use this? 

Are examples relevant? 

Task "I can" 

What

 

 

How

 

 

 

When

 

 

 

Where and Resources

 

With whom

Is there clarity about what to do? 

What needs to be submitted? 

 

Is there a recommended process? 

Is the process intentionally unclear? 

What roadblocks or mistakes can you avoid? 

 

When is this due? 

Spacing? Can I do this in one sitting?

Where can I do this work? 

Do I need the internet or library? 

What do I submit this work? 

 

Do I need to work alone? 

 

 

Criteria "I matter"

Checklist 

Rubric or Examples

What are the parts? 

How do I know I know I am on the right track? 

How will I know what's expected? 

What matters most? 

How will I know I'm doing good work? 

What's good or bad in these examples?

(Bowen and Watson, 2024, p. 187) 

Promoting the ethical and effective use of AI in academic settings requires thoughtfully designed assignments that encourage students to engage critically with AI tools while upholding academic integrity. Here are several assignment ideas aimed at fostering safe AI usage without leading to plagiarism:

1. AI-Assisted Research Projects

Encourage students to utilize AI tools for preliminary research, such as generating topic ideas or creating outlines. Require them to document how they used the AI, including prompts and outputs, and to critically assess the tool's contributions versus their own. This practice promotes transparency and helps students understand the distinction between AI assistance and original work.

2. Reflective AI Use Journals

Have students maintain a journal throughout the course, recording instances where they employed AI tools in their assignments. They should reflect on the ethical considerations, the accuracy of AI-generated content, and how it influenced their learning process. This continuous reflection fosters ethical awareness and personal accountability.

3. Collaborative AI Ethics Debates

Organize debates where students are divided into groups to discuss the ethical implications of AI in academia. Topics could include the potential for AI to enhance learning versus the risks of dependency and plagiarism. This format encourages critical thinking and a deeper understanding of responsible AI use.

4. Scaffolded Assignments with AI Integration

Design multi-phase assignments where AI tools are permitted in specific stages, such as brainstorming or drafting, but require students to refine and finalize their work independently. This approach teaches students how to leverage AI as a supportive tool without over-reliance.

5. AI Output Analysis and Critique

Provide students with AI-generated content related to their field of study and ask them to critique its accuracy, coherence, and relevance. This task develops evaluative skills and highlights the importance of human judgment in conjunction with AI assistance.

6. Development of AI Usage Guidelines

Assign students the task of creating a set of guidelines for ethical AI use within academic work. This could involve researching existing policies, understanding the potential pitfalls of AI misuse, and proposing strategies to prevent plagiarism. Engaging in this process empowers students to take ownership of ethical standards in their academic community.

Implementing these assignments can help cultivate a learning environment where AI is used responsibly, enhancing educational experiences while maintaining academic integrity.


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