Featured Conversation: What Training and Development Can Learn From AI in Higher Education

Dr. Trevor Cox and Dr. Laura Dumin seated for an LX Studio podcast conversation about AI, learning design, and higher education.

With Laura Dumin, Ph.D., Faculty-facing AI Coordinator at the University of Central Oklahoma

In this conversation, LX Studio’s Dr. Trevor Cox and Dr. Laura Dumin explore what training and development can learn from AI in higher education, including how to use AI in ways that keep people at the center of learning.

Topics covered include:

  • How AI is reshaping learning design and support
  • Why AI should enhance, not replace, human expertise
  • How educators are addressing AI concerns and academic integrity
  • Ways AI can support diverse learners
  • What personalized learning pathways can teach us about engagement
  • Why relationships still matter in AI-supported learning
  • How leaders can move from AI curiosity to intentional strategy

Designed for:

L&D directors, instructional designers, training managers, HR and workforce learning leaders, association education professionals, and anyone exploring human-centered AI in learning.

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Resource Library

Need the research behind the strategies? Browse the Resource Library for scholarly sources and recommended reading you can cite and share.

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Want to apply these ideas to one of your own programs? Schedule a free consultation for a one on one conversation about your training context.

The LX Studio Approach

We help learning and training teams make thoughtful design choices that lead to more engaging, effective, and practical learning experiences. As AI becomes part of how people work and learn, we help teams stay focused on the learner, the learning goal, and the outcomes the experience needs to support.

Our work starts with the learning problem, not the technology. AI may be part of the conversation, but it is never the strategy by itself. Using Learning Environment Modeling™ (LEM™), we map the experience through five essentials: information, dialogue, feedback, practice, and evidence, creating a clear structure for designing learning that is intentional, measurable, and human-centered.

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