What You Will Learn

• Write effective prompts for large language and image models
• Choose and use AI tools such as ChatGPT and FreePik Pikaso
• Communicate AI capabilities, limitations, and ethics to stakeholders
• Integrate AI features into learning with basic JavaScript
• Create AI-powered automations to streamline instructional workflows

Study Guide

Introduction to '5 Essential AI Skills for Instructional Designers'

Welcome to this comprehensive guide on '5 Essential AI Skills for Instructional Designers'. In a world where technology is rapidly evolving, the role of AI in instructional design is no longer a distant possibility; it is a present reality. This course is designed to equip you with the critical AI skills necessary to enhance your projects, improve efficiency, and future-proof your career. By mastering these skills, you will not only stay relevant but also become a leader in your field. Let's dive into the essential skills every instructional designer should have in their AI toolkit.

AI is Already Here and Requires New Skills

The advent of AI in instructional design is not a future event but a current phenomenon. As Devlin, the presenter of our course, emphasizes, AI is actively transforming the landscape of instructional design. Ignoring this shift could leave professionals at a disadvantage. The aim of this course is to provide you with the skills needed to create better projects, work more efficiently, and secure your place in the industry.

Practical Application:
Consider how AI tools can streamline your current workflows. For instance, using AI to automate repetitive tasks can free up time for more strategic activities.

Tip:
Stay informed about AI trends by subscribing to relevant newsletters or joining online communities where AI advancements are discussed.

Writing Effective Prompts (Prompt Engineering)

Prompt engineering is the cornerstone of effective AI interaction. It involves crafting clear and specific instructions for AI tools to achieve desired outcomes. The quality of your prompts directly impacts the quality of AI outputs. A well-structured prompt includes defining the AI's role, outlining the task, and providing relevant context.

Example 1:
When using a text-based AI like ChatGPT, a prompt might look like this: "As a historical expert, summarize the impact of the Industrial Revolution on urban development."

Example 2:
For an image-generating AI like MidJourney, your prompt could be: "Create an image of a futuristic classroom with holographic displays and diverse students engaged in learning."

Best Practice:
Utilize prompting guides specific to each tool to maximize output quality. Tools like PromptHub and Promptmetheus can aid in managing and testing prompts.

Mastering the Tools

Understanding and mastering AI tools is crucial for instructional designers. It's not enough to know about different AI platforms; you must understand their specific strengths and applications. Building a personal AI toolkit allows you to leverage these tools for impactful work.

Example 1:
ChatGPT is praised for its custom GPT capabilities and ongoing UX investment. Use it for generating content ideas or drafting learning materials.

Example 2:
FreePik Pikaso offers a wide range of integrated AI features, from image generation to video creation. Its user-friendly interface makes it ideal for creating diverse visual content.

Tip:
Stay aware of the tools your organization has access to and any restrictions on unapproved tools. Continuous practice with these tools will improve your proficiency and output quality.

Communicating About AI (Teaching People About AI)

As AI is still a new technology, effectively communicating its concepts, capabilities, limitations, and ethical considerations is essential. Instructional designers must educate stakeholders about AI-driven projects to facilitate buy-in and understanding.

Example 1:
When introducing AI tools to a team, explain the benefits and limitations, such as how AI can automate routine tasks but may require oversight for complex decisions.

Example 2:
In a meeting with clients, demonstrate how AI can enhance learning experiences by providing personalized feedback to learners.

Best Practice:
Stay updated on AI developments through webinars and follow relevant experts. Join communities with AI enthusiasts to share knowledge and learn about practical applications.

Reading and Writing JavaScript

JavaScript skills enable the integration of AI functionalities into learning experiences, particularly within popular authoring tools. Understanding basic JavaScript syntax facilitates working with APIs, parsing data, and interacting with servers.

Example 1:
Incorporate AI like ChatGPT into platforms like Articulate Storyline and Rise 360 by using JavaScript to create interactive learning modules.

Example 2:
Use JavaScript to fine-tune AI models for more specific and refined outputs, enhancing the customization of learning experiences.

Tip:
Resources like FreeCodeCamp and Scrimba are recommended for learning JavaScript. Consider creating an "ID specific JavaScript playlist" to further your skills.

Creating AI-Powered Automations

Leveraging AI to create automations can streamline and enhance repetitive tasks and workflows. AI can be integrated into existing processes to make decisions, draft content, and improve efficiency.

Example 1:
Develop an automation workflow where AI generates a script, narration, and subtitles from source material, and then uploads these assets while sending a notification.

Example 2:
Use tools like N8N to build visual AI-powered automations that integrate decision-making and content generation, allowing you to focus on more strategic tasks.

Best Practice:
Consider self-hostable platforms for AI-powered automations to address data security concerns within your organization.

Conclusion

By now, you should have a comprehensive understanding of the '5 Essential AI Skills for Instructional Designers'. These skills are not just tools but powerful assets that can transform your instructional design practice. As you integrate these skills into your work, remember the importance of thoughtful application and continuous learning. Embrace AI as an ally in your journey to create impactful learning experiences. Your proactive approach to developing these skills will not only keep you relevant but also position you as a leader in the field of instructional design.

Podcast

There'll soon be a podcast available for this course.

Frequently Asked Questions

Welcome to the FAQ section for the 'Video Course: 5 Essential AI Skills for Instructional Designers.' This resource is designed to answer common questions about the course and provide insights into how AI can transform the role of instructional designers. Whether you're new to AI or looking to deepen your expertise, these FAQs will guide you through essential skills, practical applications, and potential challenges in leveraging AI within instructional design.

Why is it crucial for instructional designers to develop AI skills right now?

Artificial Intelligence is not just the future; it's already here. Instructional designers who fail to develop AI skills risk falling behind. By embracing AI, designers can create more engaging projects, increase efficiency, and future-proof their careers, ensuring they remain valuable assets in their teams.

What are the five essential AI skills that instructional designers should focus on?

According to the course, the five essential AI skills are:

1. Writing Effective Prompts (Prompt Engineering): Crafting clear inputs for AI tools to get high-quality results.
2. Mastering the Tools: Understanding and utilizing various AI tools effectively.
3. Communicating About Artificial Intelligence: Explaining AI concepts and implications to stakeholders.
4. Reading and Writing JavaScript: Integrating AI functionalities into learning experiences.
5. Creating AI-Powered Automations: Building workflows that incorporate AI to automate tasks.

Why is prompt engineering considered the first essential AI skill, and what does it involve?

Prompt engineering is foundational because AI output quality depends on prompt quality. It involves crafting clear, specific instructions that guide AI to produce desired results. Best practices include defining the AI's role, outlining tasks, and providing context. Effective prompting varies by AI tool.

What does "mastering the tools" entail for an instructional designer?

Mastering tools goes beyond basic knowledge. It involves understanding the strengths and weaknesses of various AI platforms, knowing organizational policies, and gaining practical experience. Start with tools like ChatGPT and Freepik Pikaso, and continuously practice for high-quality outputs.

Why is the ability to communicate about AI important for instructional designers?

AI is still new to many, so effective communication is key. Designers must educate clients and stakeholders about AI, address concerns, and gain support for AI projects. Demonstrating AI expertise can enhance a designer's portfolio and career prospects.

How can JavaScript skills benefit instructional designers in the context of AI?

JavaScript enables integration of AI into interactive learning experiences. It allows designers to work with APIs, parse data, and fine-tune models, offering customization and innovation in learning design. JavaScript skills are valuable for creating dynamic eLearning content.

What is meant by "creating AI-powered automations" and how can this benefit instructional designers?

AI-powered automations streamline repetitive tasks. They involve using AI to automate processes like script generation and email drafting. Tools like N8N help create workflows that integrate AI, enhancing efficiency and allowing focus on creative tasks.

What are the recommended next steps for instructional designers looking to build these essential AI skills?

Start by watching an introductory AI video. Rewatch the course discussion on essential skills, choose one skill to practice actively, and explore AI portfolio projects. Stay updated with AI developments through webinars and communities, and consider learning JavaScript.

What are the key components of an effective prompt format for large language models?

An effective prompt includes defining the AI's role, stating the task, and providing context. These components guide the AI to produce relevant and high-quality outputs. Iterating on prompts and asking for clarification can refine results further.

What considerations should instructional designers keep in mind regarding the use of AI tools within their organizations?

Be aware of organizational policies on AI tool usage. This includes understanding guidelines around sensitive data and approved tools. Avoid inputting confidential information into unapproved platforms to ensure compliance and data security.

How can demonstrating AI knowledge and skills benefit an instructional designer's career?

Showcasing AI skills in a portfolio enhances career opportunities. It demonstrates the ability to use cutting-edge technology to improve learning experiences, making designers more attractive to employers and clients. AI expertise can set designers apart in a competitive field.

In what ways can AI tools assist instructional designers in learning and using JavaScript?

AI tools can act as coding assistants. They help understand syntax, suggest code snippets, and generate code based on requirements. This support makes learning JavaScript more accessible and applicable in creating interactive learning modules.

What is an example of AI-powered automation in instructional design?

AI automates content creation workflows. For instance, uploading instructional content can trigger AI to generate scripts, narration, and storyboards, then upload assets to a drive and notify the designer. This reduces manual effort and increases efficiency.

What is the potential impact of mastering the five essential AI skills on the future role of instructional designers?

Mastering AI skills transforms instructional design roles. It offers opportunities for innovation and efficiency but also presents challenges like keeping up with rapid AI advancements. Designers must balance leveraging AI with maintaining human-centered design principles.

What ethical considerations must instructional designers address when integrating AI tools and content?

Ethical considerations include bias, privacy, and human roles. Designers must ensure AI-generated content is unbiased, protect data privacy, and consider the impact on jobs. Responsible AI use involves transparency and ethical decision-making in design processes.

How do JavaScript skills enable instructional designers to create innovative AI-powered learning experiences?

JavaScript enhances eLearning functionality with AI. It allows for creating dynamic interactions, such as adaptive learning pathways and real-time feedback. These innovations make learning experiences more engaging and personalized.

How can an instructional design team be encouraged to develop essential AI skills?

Develop a strategic plan with resources and training. Encourage team members to explore AI through pilot projects, offer workshops, and provide access to learning platforms. Foster a culture of continuous learning and experimentation with AI technologies.

What are common challenges when integrating AI into instructional design?

Challenges include tool complexity and resistance to change. Designers may struggle with understanding AI algorithms and face skepticism from stakeholders. Address these by providing clear benefits, training, and demonstrating successful AI applications in projects.

What are some real-world examples of AI applications in instructional design?

AI is used for personalized learning and content generation. Examples include adaptive learning systems that tailor content to individual needs and AI-powered chatbots that provide instant support and feedback to learners, enhancing the learning experience.

What future trends in AI should instructional designers be aware of?

Trends include AI-driven analytics and immersive learning. AI analytics provide insights into learner behavior, while immersive technologies like VR and AR, powered by AI, offer new ways to engage learners. Staying informed about these trends is crucial for innovation.