Mini Guide to AI / VR / MR / AR

Interactive Reality

VR SAMPLE

Learner Assessment

Selecting Effective Tools

Responsible Use Forming Policy

AR / VR / MR

RISKS

Predictive vs Generative AI

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AI /AR/ VR Mini-Reference Guide

What'sYour Reality?

Jennifer Parker, Instructional Designer

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Performance drift, model drift, or data driftAi drift occurs when the gradual change or shift in the behavior, performance, or outcomes of an AI system over time. This can occur for example when changes were not accounted for during initial development or when trends or the relationships of the data has drifted, or the training sets have not updated.Social Harm: one type of harm is allocative harm, when resources are unfairly distrubutedBias: bias in the algorithms based on training dataKnowledge cutoff: Factual errors & hallucinations, An AI knowledge cutoff refers to the point in time when an AI model was last trained or updated with new data. After this cutoff date, model no longer has access to new information, events, or developments occurr after that time.

AI Drift, Bias, Social Harm, Knowledge Cutoff

https://edu.cospaces.io/NEG-KHL

Free Version CoSpacesEdu

AI and AR/VR/MR Tools Identify Use Cases: Determine which AI or AR/VR/MR tools are best suited for your course goals—whether it's immersive learning through VR simulations or automated grading with AI. Evaluate Tool Effectiveness: Look for tools with proven educational outcomes or case studies in similar academic disciplines. Viability: Consider cost, educational impact, alignment with goals, reliability, sustainability, strategic impact.Ease of Use: Choose tools that are accessible for both faculty and students, with clear instructions and support.MORE AI TOOLS

Selecting Effective Tools(clickable)

Automated Grading: Use tools like Gradescope to streamline assessment.Personalized Learning: Adaptive platforms like content to individual progress. Chatbots: Gemini generative chat, ChatGPT or Dialogflow answer student questions and offer support, and challenge and build on student responses. Quick Start Tools: Quillionz: Generate AI-powered quiz questions. Google Bard: Help students brainstorm ideas or solve problems collaboratively. Best Practices: Ensure ethical use of AI by addressing privacy concerns and avoiding bias. Teach students the limitations of AI tools (e.g., AI Drift, Representational Bias, Allocative bias, Knowledge Cutoff, factual errors, hallucinations).

Assessment

AI (Artificial Intelligence): Examples: Predictive Ai chatbot- predicts words based on scripted responses, categoriesGenerative Ai Tutor Like Google Gemini or DialogFlow generate new content & create new, contextually relevant content on demand; they generate explanations, solutions, and learning materials in real-timePersonalized Learning: Can assess individual student needs & adjust their responses based on the learner's current level of understanding.Interactivity: The generative nature allows for dynamic, real-time interactions that evolve based on user input. Complex Problem-Solving: Can assist with complex problem-solving, provide step-by-step explanations, and guide students through learning exercises or study materials.

Ai Models Predictive vs Generative

Google's AI Essentials Checklist for using AI responsibly

Resources for Policy Formation

AI Decision Tree Oregon State University

Foundational Guide to AI for Higher EdCanvas by Instructure

MR (Mixed Reality): A blend of AR and VR that allows real-time interaction between the physical and digital worlds.

AR Augmented Reality

VR Virtual Reality

MR Mixed Reality

Technology that overlays digital content onto the physical world through devices like smartphones or AR glasses.

VR (Virtual Reality): A fully immersive digital environment created with headsets, often used for simulations or interactive experiences.

Interactive Reality

Content Creation Tools: Learn to use platforms like CoSpacesEdu, Unity, ThingLink, Unreal Engine, or AI-powered software for creating interactive and immersive content.Delivery Platforms: Utilize tools like VR headsets, AR apps, or AI-integrated learning management systems (LMS) for delivering content to students in engaging ways. Some apps like CoSpaces do not require headsets and can scan using a mobile device.Interactive Quick Start Tools:Adobe Aero: Develop simple AR experiences without coding. Metaverse Studio: Build AR experiences with drag-and-drop ease. Best Practices: Provide clear instructions for using AR tools to avoid technical difficulties. Integrate AR as a complement to traditional teaching methods, not a replacement.

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