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Instructional Design Models LDT 200X

Artificial Intelligence (AI) in Instructional Design

Overview

Artificial Intelligence (AI) augments standard learning design by adding truly adaptive, personalized learning experiences. For example, rather than a standard branching scenario, AI can be used to dynamically create intelligent responses that are more lifelike than their static counterparts. Tools, such as ChatGPT, can also help learning designers map out their courses, make refinements, or rewrite content based on a particular audience.

Benefits of AI

The key benefit of using AI in learning design is personalization. AI can create dynamic content that both adapts to learners and can adapt to different learning contexts. For example, a course designed to help learners develop a healthy routine can be adapted based on user input about their current age, health problems, and previous experiences with diet or exercise.

AI can also make assessment easier by providing learners with immediate feedback and tips to improve their responses.

AI Microcourse

I propose the creation of an AI-powered course that helps learners create a more healthy routine. The course would respond to their questions and help them make a plan to get healthier based on their user inputs. This course would solve for a key knowledge gap whereby content is not always relevant to individual learners, but must be made generic to fit the needs of all learners. 

Additional AI Resources

  • Purdue Libraries AI Resource Guide (link)
  • Bellevue College AI Resources (link)

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