Pedagogy in the Classroom: A Resource for Teaching
This video was generated with an AI Tool called Runway ML
The site provides 550 'free credits' to generate your script in various characters and voices.
See more info below.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn. AI systems can perform tasks such as recognizing speech, making decisions, translating languages, and understanding and responding to natural language.
About this course (Link to .pdf):
In this course, you will learn to collaborate with AI systems effectively, efficiently, ethically, and safely. Based on the four pillars of delegation, description, discernment, and diligence, the following free course provides a conversational, conceptual, and hands-on approach to AI.
Acknowledgments and license
Copyright 2025 Rick Dakan, Joseph Feller, and Anthropic. Released under the CC BY-NC-SA 4.0 license. This course is based on The AI Fluency Framework by Dakan and Feller.
Supported in part by the Higher Education Authority, Ireland, through the National Forum for the Enhancement of Teaching and Learning.
The following link provides a more advanced course with prerequisite knowledge of programming basics, such as "Python" and working with API's.
https://www.anthropic.com/aws-reinvent-2024/course
Indian River State College Board Policy -(Click Link) ARTIFICIAL INTELLIGENCE (AI)
Below are several guidelines for creating an AI Policy for education. (Click to open)
Indian River State College recognizes the transformative potential of artificial intelligence (AI), particularly Generative AI, in education and professional environments. In alignment with its mission to prepare students for a rapidly changing workforce and its commitment to innovation and efficiency in its operations, the College embraces the responsible and innovative use of AI technologies in professional workflows and contexts, including the classroom.
Why is it important that colleges and universities have an AI policy in place for faculty, administration and students?
It is critical for colleges and universities to have a clearly defined AI policy for faculty, administration, and students because of the far-reaching implications AI has on ethics, academic integrity, data privacy, equity, and institutional credibility.
Here's a breakdown of why this matters:
1. Academic Integrity and Fairness
Students: With generative AI tools like ChatGPT and image generators, students can easily produce essays, solve assignments, or generate exam responses. Without a clear policy, institutions risk inconsistent enforcement and confusion about what constitutes cheating.
Faculty: Faculty need guidance on how much AI use is appropriate when designing assessments or grading with AI tools.
Result: A policy levels the playing field and helps uphold the value of academic credentials.
Clarity on Use: Faculty need direction on how AI can be used responsibly in teaching, curriculum design, and research.
Support for Innovation: Encourages appropriate experimentation with AI in the classroom while preventing over-reliance or misuse.
Professional Development: Helps institutions align AI adoption with pedagogical goals and provides training support to faculty.
Sensitive Information: AI tools often collect and process data that may include student records or institutional documents.
FERPA/General Data Protection: Without a policy, institutions may unknowingly violate privacy laws or risk data leaks through third-party AI platforms.
Result: Policies ensure compliance with legal standards and vendor accountability.
Bias and Accessibility: AI systems can reinforce biases or exclude students with disabilities if not implemented thoughtfully.
Digital Divide: Not all students or staff have equal access to AI tools or understand how to use them ethically.
Policy Impact: Ensures AI tools support inclusion and do not further disadvantage marginalized groups.
Reputation at Stake: Misuse of AI (e.g., mass-produced research or AI-written dissertations) can damage the institution's credibility.
Consistency Across Departments: A unified policy prevents a fragmented approach and reduces institutional risk.
Prepares for Accreditation Reviews: Accrediting bodies may begin evaluating how institutions govern AI use.
Student Preparation: Clear guidelines model responsible AI use and prepare students for ethical use in their future careers.
Faculty Role Models: Educators need to model ethical AI behavior and prepare students for a world where AI literacy is essential.
Result: Builds AI fluency institution-wide, keeping the institution relevant in a changing educational and employment landscape.
Without an AI policy, institutions are reactive rather than proactive, risking confusion, misconduct, inequity, and legal consequences. A strong policy, co-developed with faculty, students, IT, and legal counsel, fosters trust, transparency, and innovation—all crucial for 21st-century higher education.
AI applied in the classroom
Applying AI in fun and intriguing ways can motivate students to use AI for positive, productive purposes.
In SLS1101 Student Success, students were asked to find ten keywords in the learning module. Next, they were asked to copy and paste them
into an app called Suno.ai. This innovative app enables users to create entire songs by adding a few keywords.
Thus, students created 'Study Anthems' in groups of two or three! Check out their work on this 'Google Sites' assignment.
https://sites.google.com/view/sls1101studyalbum/home
Student Guide to AI.pdf
Have students download this .pdf to explore practical and ethic ways to use AI in their journey through education and life
Click here for an additional extensive resource about Generative AI - Created with Adobe Express
Personalized Learning
Rationale: AI can analyze individual student data to create customized learning experiences that address each student's strengths, weaknesses, and learning pace.
Efficient Administrative Tasks
Rationale: AI can automate repetitive administrative tasks such as grading, scheduling, and tracking student progress, freeing instructors' time for more meaningful student interactions.
Enhanced Student Engagement
Rationale: AI-driven tools can create interactive and engaging learning experiences through chatbots, virtual assistants, and interactive simulations.
Example: Virtual teaching assistants like Jill Watson can answer students' questions around the clock, providing instant support and keeping students engaged outside of traditional classroom hours.
Real-Time Feedback and Assessment
Rationale: AI can provide real-time feedback on student performance, allowing for immediate intervention and support to address learning gaps as they occur.
Example: Socrative enables instructors to conduct real-time assessments during lectures, giving immediate feedback to students and allowing instructors to adjust their teaching strategies on the fly.
Resource Discovery and Content Curation
Rationale: AI can help instructors discover and curate high-quality educational resources from various available content, ensuring students receive the most relevant and up-to-date information.
Example: AI-powered search engines like Google Scholar can help instructors find the latest research articles and incorporate current findings into their curriculum, enhancing the relevance and rigor of their teaching.
Features: A freely accessible search engine that indexes scholarly articles across various disciplines. It provides AI-powered search recommendations and citation tracking.
Examples: Instructors can use Google Scholar to find and incorporate the latest research into their lectures. Students can be guided on how to use it for research projects, enhancing their information literacy skills.
Features: An AI language model that can generate human-like text based on prompts. It can assist in creating content, answering questions, and providing explanations.
Examples: Instructors can use ChatGPT to generate examples, explanations, or practice questions for their courses. It can also be a virtual assistant to answer common student queries or support tutoring.
Features: A free online education platform offering instructional videos, practice exercises, and a personalized learning dashboard. It utilizes AI to recommend content based on student performance.
Examples: Instructors can assign Khan Academy videos and exercises as supplementary materials. The platform's adaptive learning tools can help students master concepts independently, providing extra practice where needed.
Features: This tool allows instructors to create interactive video lessons by embedding questions, comments, and audio notes into videos. It provides analytics on student engagement and performance.
Examples: Instructors can use Edpuzzle to create engaging video lessons that check for understanding at critical points. The analytics can help identify which students need additional support and which concepts require reteaching.
Features: A real-time student response system allows instructors to create quizzes, polls, and exit tickets. It provides instant feedback and analytics.
Examples: Instructors can use Socrative to conduct formative assessments during lectures, gather immediate feedback on student understanding, and adjust their teaching accordingly. Exit tickets can be used to assess what students have learned at the end of a class.
6. Claude (Antropic)
Features: Claude AI is used for a variety of tasks due to its ability to understand and generate human-like text. It excels at conversation, brainstorming, document analysis, and content creation. Its focus on safety and ethics, combined with its ability to handle long documents and its speed, make it a powerful tool for both personal and professional use.
Check out how this person is using (Youtube with Claude)
These free AI tools can enhance teaching effectiveness by providing personalized learning experiences, facilitating interactive and engaging lessons, and offering valuable insights into student performance.
Developed by Google DeepMind
Core Functionality: Gemini, a large language model (LLM) from Google DeepMind, is designed for natural language understanding and generation, similar to ChatGPT.
Strengths:
Integration with Google Workspace: Gemini's tight integration with Google Workspace can be advantageous for educational institutions already using these tools.
Multimodal Capabilities: Gemini is designed to handle text, images, and other data types, making it versatile for different educational content.
Advanced Search and Summarization: Gemini’s ability to process and summarize large volumes of text can help instructors quickly gather and present relevant information.
Potential Applications in Teaching:
Resource Curation: Efficiently search and summarize academic articles and resources.
Interactive Learning: Creating multimodal content that includes textual explanations and visual aids.
Enhanced Collaboration: Facilitating communication and collaboration within Google Workspace, aiding in organizing group projects and shared resources.
Developed by OpenAI
Core Functionality: ChatGPT is an AI language model that generates human-like text based on user input.
Strengths:
Versatility: Can generate various text outputs, from explanations and stories to code and poetry.
Accessibility: Available through various platforms and can be integrated into different educational tools and environments.
Interactive Capabilities: Engaging in back-and-forth conversations is useful for tutoring and answering student questions.
Potential Applications in Teaching:
Tutoring and Assistance: Providing personalized explanations and tutoring on various subjects.
Content Generation: Creating practice questions, writing prompts, and supplementary teaching materials.
Student Support: Offering a virtual assistant to help students with homework and study questions outside class hours.
Developed by GitHub (with OpenAI)
Core Functionality: GitHub Copilot is an AI-powered code completion tool that assists developers by suggesting code snippets and completing code.
Strengths:
Coding Assistance: Specifically tailored for programming, making it highly effective for coding and software development courses.
Learning by Example: Helps students learn coding by providing relevant code examples and explanations.
Integration with IDEs: Seamlessly integrates with popular Integrated Development Environments (IDEs) like Visual Studio Code.
Potential Applications in Teaching:
Coding Education: Assisting students in writing and understanding code by providing real-time suggestions and corrections.
Project Development: Supporting students in software development projects by offering code snippets and debugging help.
Skill Enhancement: Enhancing programming skills through immediate feedback and code optimization suggestions.
Versatility and Content Generation:
ChatGPT: Offers the broadest range of applications, making it suitable for various subjects and tasks beyond coding.
Gemini: Also versatile with solid integration into Google tools and multimodal capabilities, but less focused on interactive tutoring.
GitHub Copilot: Best suited for programming and software development education, with less versatility outside coding contexts.
Subject-Specific Assistance:
GitHub Copilot: Excels in providing targeted assistance for coding, making it ideal for computer science and related fields.
ChatGPT and Gemini: Both can support a wide range of subjects, with ChatGPT offering slightly more interactive capabilities.
Integration and Usability:
Gemini: Best integrated with Google Workspace, making it easy to use within that ecosystem.
GitHub Copilot: Integrated into popular coding environments, making it a natural choice for programming classes.
ChatGPT: Available on multiple platforms and easily integrated into various educational tools.
ChatGPT is highly effective for general pedagogical applications, offering versatile content generation and interactive tutoring capabilities.
Gemini provides strong integration with Google tools and multimodal capabilities, making it a robust choice for resource curation and collaborative learning environments.
GitHub Copilot excels in the programming domain, offering unparalleled support for coding education through real-time code suggestions and completion.
Choosing the right tool depends on the specific needs of the course and the technological ecosystem in place. ChatGPT offers broad applicability for general use, while Gemini shines in Google-integrated environments, and GitHub Copilot is unparalleled for programming instruction.
Image Generation: Tools to Use (Click to Open)
Using free AI tools for image generation in education can enhance various aspects of the learning experience. Here are several rationales for their use:
Enhanced Visual Learning
Rationale: Visual aids are crucial for understanding complex concepts. AI-generated images can create custom visual content tailored to specific educational needs.
Example: In a biology class, AI tools can generate detailed and accurate images of cells, organs, or ecosystems, making abstract concepts more tangible and understandable.
Encouraging Creativity and Innovation
Rationale: Integrating AI tools into the classroom fosters creativity and innovation among students, encouraging them to explore new ways of thinking and problem-solving.
Example: Art students can use tools like DeepArt or Artbreeder to experiment with different styles and create unique artworks, pushing the boundaries of traditional art education.
Personalized Learning Experiences
Rationale: AI tools can provide personalized content that caters to students' diverse learning styles and interests, enhancing engagement and retention.
Example: Students working on individual projects can generate custom visuals that align with their specific topics or areas of interest, making their learning experience more relevant and engaging.
Accessibility and Inclusion
Rationale: Free AI tools democratize access to advanced technology, ensuring that all students, regardless of socioeconomic status, can benefit from innovative educational resources.
Example: Schools with limited budgets can still provide high-quality visual aids and creative tools to their students, leveling the playing field and promoting equity in education.
Interdisciplinary Learning
Rationale: AI-generated images can bridge different subjects, encouraging interdisciplinary learning and helping students see connections between diverse fields.
Example: In a project-based learning scenario, students could use AI tools to create visuals that combine art, science, and history, fostering a more integrated understanding of the material.
Efficiency and Productivity
Rationale: AI tools can save time and resources by quickly generating high-quality images that would otherwise require significant effort and expertise.
Example: Teachers can use AI-generated images to supplement their lesson plans, creating professional-looking presentations and handouts without requiring extensive graphic design skills.
Engaging and Interactive Learning
Rationale: Interactive and visually appealing content can increase student engagement, making learning more enjoyable and effective.
Example: History classes can be enriched with AI-generated historical recreations or visual timelines, making the subject matter more dynamic and engaging for students.
Real-World Skills Development
Rationale: Familiarity with AI tools prepares students for the future workforce, where technology and AI are increasingly prevalent.
Example: Students gain practical experience with AI, learning to use cutting-edge tools relevant in many modern careers, from digital marketing to software development.
Support for Diverse Learning Materials
Rationale: AI can help produce diverse and culturally relevant learning materials, enhancing cultural awareness and sensitivity in education.
Example: Literature classes can use AI-generated images to visualize scenes from different cultural contexts, promoting a deeper understanding and appreciation of global perspectives.
Scalability and Customization
Rationale: AI tools allow for scalable and easily customizable content creation, meeting the diverse needs of large classrooms or varied curricula.
Example: Teachers can quickly generate multiple versions of visual aids tailored to different student ability levels, ensuring that all students receive appropriate and challenging material.
Here are four popular and free AI tools to generate images
Adobe Firefly- (Free to Admin/Faculty/Students at IRSC )
Included with the Adobe Suite, used with Adobe Express and other Adobe tools
Developed by: OpenAI
Features: Allows users to create images from text descriptions. Although DALL-E Mini (Craiyon) is a simpler version of the original DALL-E, it is freely accessible and can generate various images based on user input.
Usage: Ideal for creating visual aids, illustrations, and concept art based on specific descriptions for educational and creative projects.
Developed by: DeepArt.io
Features: Uses neural networks to apply artistic styles to photos. Users can upload a photo and choose an art style to transform their image into digital art.
Usage: Useful for teaching art and design, creating stylized images for presentations, and exploring the intersection of technology and creativity.
Developed by: Artbreeder
Features: Users can create and modify images using generative adversarial networks (GANs). Users can blend images, adjust features, and explore various artistic possibilities.
Usage: Excellent for generating character portraits, landscapes, and unique visual content for storytelling, game design, and creative projects.
Developed by Runway AI
A tool used to create video at the top of this page!
Features: Provides a suite of AI tools, including image generation models like BigGAN and StyleGAN. It offers an easy-to-use interface for experimenting with different AI models to create images.
Usage: Suitable for educational purposes, such as teaching machine learning concepts, creating visual content, and exploring AI’s creative potential.
These tools provide accessible ways to generate images, making them valuable resources for educators, students, and creative professionals looking to integrate AI-generated visuals into their work.
By incorporating free AI tools for image generation, educators can enhance the quality and reach of their teaching, providing richer, more engaging, and more personalized learning experiences for their students.
Here’s a practical collaborative experience for a low-level nursing class that emphasizes Problem-Based Learning (PBL):
Objective: Improve basic patient assessment, teamwork, and communication skills in a simulated environment.
Activity: "Meet Your Patient" Simulation
Break students into small groups (3–5 students per group).
Each group is assigned a patient case study (simple conditions like dehydration, mild fever, or sprains).
Roles are assigned:
Primary Nurse: Leads assessment and asks questions.
Assistant Nurse: Records findings.
Patient: Acts as the patient based on provided symptoms.
Observer: Provides feedback on teamwork and communication.
Process:
Patient Interaction (10 minutes):
The "patient" provides symptoms based on a case card.
The team asks basic history-taking questions (e.g., "When did this start?" "Are you in pain?").
Basic vitals assessment (simulated).
Team Discussion (5 minutes):
Review findings.
Decide on the next steps (e.g., hydration, rest, escalate to a doctor).
Mini-Presentation (5 minutes):
Each team briefly explains their case and proposed plan to the class.
Debrief:
Instructor provides feedback on communication, assessment skills, and teamwork.
Students reflect: What went well? What could be improved?
✅ Hands-on learning without high-level clinical skills required.
✅ Encourages teamwork and decision-making.
✅ Builds confidence in patient interaction.
Would you like modifications based on specific nursing topics? 😊
4o
You said:
Yes please
ChatGPT said:
ChatGPT
Here are three modified versions of the activity based on different nursing topics:
Objective: Practice measuring and interpreting vital signs while enhancing teamwork and communication.
Activity: "Emergency Check-In" Simulation
Setup: Each group is given a patient profile with vital signs (e.g., blood pressure: 150/90, temperature: 101°F, pulse: 110 bpm).
Roles:
Nurse 1: Measures and interprets vital signs.
Nurse 2: Records findings and suggests possible causes.
Patient: Responds with scripted symptoms.
Observer: Gives feedback on accuracy and communication.
Task:
Assess the patient’s condition.
Determine if the patient is stable or needs escalation.
Suggest basic nursing interventions (e.g., cooling measures, repositioning, hydration).
Debrief:
Discuss normal vs. abnormal findings.
Instructor provides real-world examples of what these vitals might indicate.
Objective: Understand how infections spread and reinforce proper hand hygiene techniques.
Activity: "Contagion Chain" Game
Setup:
Use glow powder or UV gel as "bacteria" (apply to one student’s hands).
Have students shake hands or pass objects.
Use a UV light to reveal how contamination spreads.
Task:
Students identify cross-contamination points.
Discuss when and how hand hygiene should be performed.
Demonstrate proper handwashing technique (including missed areas like thumbs, wrists).
Debrief:
Discuss real-world hospital-acquired infections (HAIs).
Reflect on how small mistakes can lead to major outbreaks.
Objective: Develop active listening and patient-centered communication skills.
Activity: "Difficult Patient" Roleplay
Setup:
Each group receives a scenario with a patient type (e.g., anxious, non-compliant, in pain, language barrier).
Roles:
Nurse: Tries to communicate effectively.
Patient: Acts out the given personality or condition.
Observer: Provides feedback.
Task:
Nurse must use open-ended questions, empathy, and non-verbal cues to gain patient trust.
Adjust communication based on patient reactions.
Debrief:
Discuss what worked and what didn’t.
Instructor provides tips on de-escalation, active listening, and patient education.
4o
You said:
Yes please
ChatGPT said:
ChatGPT
Memory updated
Here are three more topic-specific collaborative activities for low-level nursing students:
Objective: Practice calculating and administering medications safely.
Activity: "Prescription Puzzle"
Setup:
Provide each group with a medication order (e.g., "Administer 500 mg of Amoxicillin. The available dose is 250 mg per tablet.").
Include details like route, time, and patient allergies.
Roles:
Nurse 1: Reads the prescription and calculates the correct dose.
Nurse 2: Checks for possible contraindications or interactions.
Patient: Asks questions about the medication.
Observer: Ensures accuracy and safety steps.
Task:
Perform a "Six Rights of Medication Administration" check.
Verify the dose calculation and simulate administration.
Educate the "patient" about side effects and instructions.
Debrief:
Discuss common medication errors and ways to prevent them.
Reinforce importance of double-checking dosages.
Objective: Learn and practice proper wound cleaning, dressing, and infection control.
Activity: "Wound Care Relay"
Setup:
Each group gets a simulated wound (printed image or mannequin with a fake wound).
Provide necessary supplies: gloves, saline, gauze, antiseptics, and bandages.
Roles:
Nurse 1: Assesses the wound and describes its severity.
Nurse 2: Cleans and applies a dressing using proper technique.
Observer: Checks for contamination errors and safety compliance.
Task:
Follow aseptic technique for wound cleaning.
Select the appropriate dressing based on wound type.
Document the procedure and explain aftercare to the "patient."
Debrief:
Instructor reviews common mistakes, such as improper glove use or touching sterile areas.
Discuss stages of wound healing and signs of infection.
Objective: Identify early warning signs and communicate effectively in emergencies.
Activity: "Rapid Response Drill"
Setup:
Assign each group a "deteriorating patient" scenario (e.g., sudden drop in blood pressure, difficulty breathing).
Provide vital signs that worsen over time.
Roles:
Primary Nurse: Assesses the patient and recognizes red flags.
Secondary Nurse: Calls for help and prepares emergency interventions.
Recorder: Documents changes and interventions.
Observer: Ensures communication is clear and efficient.
Task:
Recognize signs of deterioration (e.g., low O2 saturation, confusion, rapid pulse).
Decide whether to escalate care (e.g., call a physician, start oxygen therapy).
Use SBAR communication (Situation, Background, Assessment, Recommendation) to report findings.
Debrief:
Discuss early intervention strategies to prevent emergencies.
Reinforce teamwork and calm decision-making under pressure.