Started his career in business but shifted to instructional design after discovering an interest in learning science at Drexel University.
Developed an early passion for simulations and learning effectiveness, leading to a career focused on research-based training strategies.
Founded a consulting practice to bridge the gap between academic learning research and corporate training.
Common Misconceptions in Learning and Development
Traditional training often overemphasizes content delivery rather than decision-making and skills application.
Many corporate training programs do not incorporate research-backed techniques such as spaced learning, retrieval practice, and realistic practice.
Energy and engagement in a training session do not necessarily indicate learning effectiveness.
The Problem with Traditional Learner Surveys
Most learner surveys (often called smile sheets) fail to measure actual learning outcomes.
Research shows that these surveys have little correlation with whether learners retain or apply knowledge.
Many rely on vague Likert scale ratings, making the feedback difficult to interpret or act upon.
Introducing Performance-Focused Learner Surveys
Uses specific, behavior-driven answer choices rather than generic ratings.
Focuses on four key areas: understanding, motivation to apply, memory retention, and post-training support.
Helps organizations make meaningful improvements to training based on structured feedback.
Learning Transfer Evaluation Model (LTEM) as an Alternative to Traditional Models
Developed as a replacement for outdated evaluation models like Kirkpatrick’s Four Levels.
Provides a structured way to measure training effectiveness, separating knowledge acquisition from real-world application.
Includes levels such as knowledge retention, decision-making skills, task performance, and impact on business outcomes.
Shifting L&D from Compliance to Business Impact
Organizations should integrate learning into daily workflows rather than relying on one-time training sessions.
Reinforcement techniques such as spaced learning and manager-led coaching can improve retention and application.
L&D should focus on contributing to measurable business results rather than just tracking completion rates.
The Role of Technology in Learning
Technology alone does not improve learning outcomes; the right instructional methods are key.
Virtual reality can enhance training when designed for realistic practice but is not always necessary.
Generative AI and adaptive learning platforms have potential but must be implemented strategically to avoid ineffective applications.
Building a Competitive Advantage Through Learning
Organizations that apply evidence-based learning methods can significantly improve employee retention and performance.
CEOs and senior leaders should view L&D as a business driver rather than just an HR function.
Continuous evaluation and refinement of training programs help create a culture of learning that supports long-term success.
Final Thoughts Will Thalheimer emphasizes that effective L&D requires a shift from outdated practices to research-based strategies. By improving learning evaluation, aligning L&D with business goals, and strategically using technology, organizations can turn learning into a competitive advantage.
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