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GenAI in Teaching and Learning Mini Carousel

GenAI in Teaching and Learning Mini Carousel

In these pages, we explore a variety of AI uses, each presented in its own mini-module on teaching, learning, and related topics as a carousel. 

Click on the plus to expand a brief description of each mini-module to help you explore! 

Note: When we use "AI," we generally refer to Generative AI.

Assignments, Tests, and Other Student Work

AI Quiz Question Generation

In this mini-module, participants will learn how to harness the power of AI to generate various styles of quiz questions, including multiple-choice, true/false, matching, and short answer. This module is ideal for creating effective tests, quizzes, and retrieval practice items embedded in lectures to check for understanding. [Explore Mini Module]

AI Writing Assignments

In this mini-module, participants will learn how to integrate AI into writing assignments using different pathways: brainstorming, AI as a collaborator, feedback generator/sounding board, or as a site for investigation. This module is beneficial for those looking to enhance their students' writing skills and support their use of AI for constructive feedback. [Explore Mini Module]

Creating Feedback and a Scoring Guide for an Exam

In this mini-module, participants will learn how to use AI to generate specific feedback and scoring guides. This feedback can be tailored to be the same for all responses or specific for correct and incorrect answers. By leveraging AI, educators can provide detailed explanations to help students understand why their answers were correct or incorrect, thereby supporting their learning of the content. This approach not only saves faculty time but also ensures that students receive consistent and informative feedback to enhance their understanding. [Explore Mini Module]

Creating Instructions for Assignments

In this mini-module, participants will learn how to create clear and effective instructions for written assignments, presentations, or other projects using AI. [Explore Mini Module]

Generating Rubrics

In this mini-module, participants will learn two methods for generating rubrics: using Copilot, a generative AI tool, and MagicSchool AI’s Rubric Generator. Copilot offers flexibility and refinement capabilities, though it lacks rubric-specific design, while MagicSchool AI's tool is tailored for rubrics, prompting consideration of learning outcomes and offering customizable descriptor numbers. [Explore Mini Module]

Learning From Mistakes with AI

In this mini-module, participants will learn how to use AI-generated example problems to address common mistakes made by engineering students. By analyzing and learning from these mistakes, students can develop a deeper understanding of key concepts and improve their problem-solving skills. This module is excellent for training students to be mindful and turn mistakes into opportunities for better understanding. [Explore Mini Module]


Interactive Activities, Case Studies, and Other Ways to Improve Learning

Creating Interactive Class Activities

In this mini-module, participants will learn how to create interactive class activities using AI. By leveraging AI tools to generate activities based on explanations of key concepts, course readings, and other resources, participants can enhance student engagement and interaction, making the content more memorable and impactful. This module is perfect for professors looking to foster collaboration and active learning in their classrooms. [Explore Mini Module]

Generating Case Studies

In this mini-module, participants will learn how to create case studies with the assistance of AI, making it easier and faster to generate numerous case studies for students to analyze and learn from. This module emphasizes the importance of repeated prompting to refine AI output and achieve better results, ultimately saving significant time while enhancing the learning experience. [Explore Mini Module]

Generating Examples and Nonexamples

In this mini-module, participants will learn how to use AI to create examples and nonexamples, which are crucial for solidifying the understanding of key terms and concepts. By leveraging AI tools like Claude and MagicSchool AI's Exemplar and Non-exemplar tool, participants can generate more retrieval opportunities during lectures, online activities, or other tasks, thereby enhancing students' comprehension of key ideas. [Explore Mini Module]

STEM Faculty Use of AI to Support Student Learning

In this mini-module, participants will learn how to leverage AI to enhance student learning in STEM subjects. They will explore how to generate a list of worked examples, create comprehensive study guides, develop lectures with detailed slide information, and design practice quizzes and long-answer questions. This module is ideal for STEM educators looking to integrate AI into their teaching practices to provide more effective and engaging learning experiences for their students. [Explore Mini Module]


Supporting Student Use

STEM Student Use of AI

In this mini-module designed for STEM faculty, but with great ideas for professors in all disciplines, participants will support their students' use of AI to facilitate learning. The Student AI Challenge includes generating flashcards for key terms, identifying and correcting mistakes in problem solutions, and creating study guides for important topics. [Explore Mini Module]


Mash Up: A Little Bit of Everything

AI Mash-Up: From Course Design to Lesson Plan to Case Study

In this mini-module, participants will learn how to use a mash-up of multiple AI tools to prepare for a class when time is limited quickly. By starting with AI-generated syllabi, lesson plans, and case studies, and then using Copilot to create engaging lecture slides, participants can efficiently develop comprehensive course materials. This module encourages experimentation with different AI tools, refining outputs, and customizing content to suit individual teaching styles, ultimately saving time and enhancing the quality of instruction. This is the one to watch if you want to see a little bit of everything and get inspired by the possibilities of AI in education. [Explore Mini Module]


Learning Outcomes, Syllabi, and Course/Program Development

Identify Possible Assessments for Majors or Courses

In this mini-module, participants will learn how to leverage AI to identify potential assessments for majors based on program requirements. This strategy can also be applied to develop assessments for specific courses by aligning them with learning outcomes and topics. [Explore Mini Module]

Updating Previous Syllabi

In this mini-module, participants will learn how to generate a syllabus template using AI to save time every term. By leveraging AI tools, educators can quickly create comprehensive and customizable syllabus templates, ensuring consistency and efficiency in course planning. This module is perfect for those looking to streamline their syllabus creation process and focus more on teaching and student engagement. [Explore Mini Module]

Using AI to Generate Learning Outcomes

In this mini-module, participants will learn how to utilize AI to create effective learning outcomes from a set of lecture notes. Participants will explore how AI can analyze lecture content to generate clear and measurable learning outcomes, ensuring that students have a well-defined understanding of the course objectives. [Explore Mini Module]


Letters, Grants, and Professional Supports

Drafting a Letter of Recommendation

In this mini-module, participants will learn how to draft letters of recommendation using AI. This choose-your-own-adventure module allows participants to either use Google Notebook LM to generate personalized letters based on deidentified previous letters or use any text-generating AI to create a generic letter that can be customized. This module is particularly useful for those looking to save time while ensuring the letters remain authentic and personalized. [Explore Mini Module]

GenAI Draft Grant Proposal

In this mini-module, participants will learn how to use AI to draft compelling grant proposals. They will explore how AI can assist in identifying funding opportunities, generating proposal outlines, and crafting persuasive narratives. [Explore Mini Module]

Making Your Professional Life Easier

In this mini-module, participants will explore how to use AI to enhance their professional tasks, including drafting letters of recommendation, making emails more professional, drafting documents, brainstorming ideas, and more. Participants will explore how AI can assist in creating polished and effective communications, generating well-structured documents, and providing creative input for brainstorming sessions. [Explore Mini Module]

Descriptions of mini-modules were generated using text from the mini-module using Copilot. 
 

(Photo generated with ChatGPT by OpenAI with a free account. Prompt(s): Generate an image of a mini-module carousel; make it less than 2 megabytes. Then: Update it as an Antique carousel.
 
Acknowledgements:

This work has been designed and produced by CTLA Faculty fellows and faculty members at OHIO:

  • Dr. Paul Shovlin, Assistant Professor of AI and Digital Rhetoric 
  • Dr. Jennifer Lisy, Assistant Professor of Instruction, Teacher Education
  • Dr. Corey Beck, Professor of Instruction, Department of Chemistry & Biochemistry
  • Dr. Yanhui Fang, Assistant Professor of Instruction, Engineering 
  • Dr. Basil Masri Zada, Associate Professor of Instruction, Digital Art + Technology (produced the web version).