Welcome to MnISPI!
Building Learning Paths with AI
Date: December 5, 2025
Time: 12:00-1:00
Location: Online
Join the meeting now
Meeting ID: 246 325 206 741 77
Passcode: 7mX3eJ2i
Program Overview
Many courses rely on overly simplistic rules for creating customized learner journeys. The most common are dictated by learner choices such as desired content or job role. Slightly more effective techniques use progress/scoring to determine a path through pretests, remediation or repetition. These methods simply create gates to pass, or lead to additional supplemental information.
In this session you will learn how to use more effective methods to dynamically customize a learner's journey through the use of AI, regardless of your authoring tool, LMS, LRS, or LXP.
The topics will include the best factors to use, how to collect data on those factors, and how to implement the data to dynamically create the optimal learning path for each user.
This program will focus on:
• Factors should be used to adapt a learner journey
• Tool agnostic methods for creating adapting learning
• Methods for collecting data for adaptive learning
• How to use that data to best create an effective leaner journey
• Adaptive techniques can be applied to context, feedback, activity design,
pacing, complexity, timing, etc.
• Case studies of organizations that have created tools and workflows to ensure
adaptive learning environments.
About our Presenter
As co-founder and Chief Delivery Officer for Allen Interactions, Mr. Lee has over 30 years’ experience working in learning technologies, instructional design, and change management with Allen Interactions, an industry leading leaning solutions provider. Mr. Lee has developed adaptive techniques and methodologies over the decades from simple database integrations to the latest AI-enabled tools and methods. Mr. Lee has consulted on and led large scale continuous improvement projects and technology integration services for over 100 of the fortune 500.