Rethinking Education With AI: Create More Engaging Learning Experiences With AI-Powered Learning Design

Discover how you can turn AI into better learning design through adaptive quizzes, open-ended scenarios, simulations, coaching feedback, and human-centred innovation for more engaging workplace learning. This post was first published on eLearning Industry.

What Start-Up Marketing Teaches L&D Teams About Measuring Training ROI

This article shows L&D professionals how to adapt five core start-up marketing measurement principles—attribution modeling, cohort analysis, CAC-style cost accounting, experiment velocity, and payback periods—to finally measure training programs the way the business measures everything else. This post was first published on eLearning Industry.

From Completion Rates To Behavioral Change: Rethinking What Learning Success Really Means

Completion rates have long been the default metric for measuring success in eLearning programs. Inherited from traditional, classroom-based learning models, completion is easy to measure and provides a simple, comparable number for reports. The higher the percentage, the more successful the program, This post was first published on eLearning Industry.

Custom AI Governance Services: The Missing Piece In Your L&D Strategy

Most L&D teams are rushing to adopt AI-powered learning tools without stopping to ask who is governing them. This article explores why custom AI governance services are the missing piece in every organization’s Learning and Development strategy. This post was first published on eLearning Industry.

AI In Higher Education: Transforming Operations

Artificial Intelligence, Machine Learning, and Deep Learning are transforming higher education by improving efficiency and student outcomes. These technologies can be applied across three key areas—administration, teaching, and learning—to enhance institutional operations and the overall educational landscape. This post was first published on eLearning Industry.