Creating Personalized Adaptive and Curated Learning Experience Generative AI / Storyline360

A personalized adaptive and curated learning experience tailors the content, pace, and feedback to each learner’s needs, preferences, and goals. AI can help create such an experience by analysing learner data, generating customized learning paths and materials, providing intelligent recommendations and assessments, and offering virtual assistance12.

Storyline360 is a powerful tool for creating interactive e-learning courses. You can use Storyline360 to design adaptive learning scenarios by using variables, triggers, conditions, and branching to create different outcomes based on learner choices and inputs. You can also use Storyline360 to integrate AI features by using JavaScript to call external APIs, such as ChatGPT, D-ID, or Midjourney, to generate dynamic content, such as text, video, or images.

To create a personalised adaptive and curated learning experience using AI and Storyline360, you will need to:

• Define your learning objectives and target audience: identify what you want your learners to achieve, how you will measure their progress, and who your learners are. Tools like SMART or ABCD can create clear and specific learning objectives. You can also use tools like personas or learner profiles to understand your learners’ characteristics, needs, and preferences.
• Identify the relevant learner data and AI techniques to personalise the learning experience: collect and analyze data from various sources, such as learner feedback, assessments, interactions, and behaviours. You can use tools like Google Analytics or xAPI to track and store learner data. You can also use tools like Azure Machine Learning or IBM Watson to apply AI techniques, such as natural language processing, computer vision, or recommendation systems, to generate personalized content and feedback for your learners.
• Design the adaptive learning scenarios and content using Storyline360’s features and functions: create a storyboard or flowchart that outlines your learners’ different paths and outcomes based on their choices and inputs. You can use tools like Storyboard That or Lucidchart to create visual representations of your adaptive learning scenarios. You can also use Storyline360’s variables, triggers, conditions, and branching to implement the logic and interactivity of your adaptive learning scenarios and content.
• Implement the AI integration using JavaScript and external APIs: write and insert JavaScript code in Storyline360 to communicate with the external AI services and return the desired results. You can use tools like Visual Studio Code or JSFiddle to write and test your JavaScript code. You can also use tools like Postman or Curl to test and debug your API calls. You can also refer to the documentation and examples of the external AI services you want to use, such as ChatGPT, D-ID, or Midjourney, to learn how to use their APIs and parameters.
• Test and evaluate the effectiveness and usability of your learning experience: conduct user testing and feedback sessions with your target learners and stakeholders. You can use tools like UserTesting or SurveyMonkey to recruit and collect user feedback. You can also use tools like the Kirkpatrick Model or ADDIE Model to evaluate the impact and improvement of your learning experience.