Paul Schneider, Head of Product Marketing at Dominknow, explores the evolving role of AI in learning technologies. He highlights its potential to enhance training, personalize learning, and analyze data for better decision-making. Paul shares insights on maintaining control, developing AI policies, and leveraging AI tools effectively—without waiting for new platforms.

Discover how AI and human-centric solutions are shaping the future of work. Learn practical strategies to stay ahead in an evolving landscape. Tune in for insights and connect with Paul at Dominknow.com.

[0:26] Introducing Paul Schneider

Paul Schneider, an instructional design expert, shares his journey from earning his doctorate in the ’90s to working in learning technologies. With experience in business and vendor-side operations, he provides insights into the industry’s evolution.

[1:03] The Cyclical Nature of Learning Technologies

Paul highlights two key observations: learning technologies constantly change, yet trends often repeat. He reflects on how past training methods, once delivered on physical media, have evolved and resurfaced in new digital formats. Learning approaches are shaped by both technology and audience needs.

[2:12] The Role of AI in eLearning

AI is transforming eLearning in two major ways: it accelerates content creation, making development faster and more accessible, and it enables data-driven personalization for adaptive learning. Paul discusses AI’s potential to enhance accessibility, automate tasks, and create more realistic training experiences.

[4:57] Navigating Technology Trends and Pitfalls

Paul advises against adopting new technology just because it’s trendy. He emphasizes the importance of aligning AI with business needs, protecting intellectual property from data privacy risks, and verifying AI-generated content to prevent misinformation. Strategic adoption is key.

[08:01] Preparing for the Future of L&D

Unlike previous shifts like PowerPoint-based eLearning, AI affects entire organizations. Paul stresses the need for clear policies to mitigate risks related to data security, compliance, and intellectual property. As regulations evolve, businesses must stay proactive.

[09:47] Key Focus for Learning Technologies

The core purpose of training is to improve employee performance and efficiency. Paul urges organizations to focus on AI’s impact on learning outcomes rather than chasing the latest tools. Instead of waiting for AI features in specific platforms, companies can leverage existing AI tools to enhance scenarios, accessibility, and training strategies.

[12:33] AI’s Role in Data Analysis & Personalization
AI personalizes learning by analyzing training data and recommending skill advancements based on user behavior. Paul highlights AI’s ability to process large datasets, measure ROI, and integrate training insights with business metrics, such as safety and performance tracking. Rather than fearing data overload, organizations should use AI to extract valuable insights and drive measurable change.

[15:51] How to Connect with Paul Schneider

Paul Schneider works at DominKnow, a cloud-based provider of off-the-shelf authoring tools for eLearning and instructor-led training. He encourages anyone interested in content creation, management, and maintenance to reach out.