Multiple Intelligence Theory, developed by Howard Gardner in 1983, challenges the traditional view of intelligence as a single, fixed capacity. Instead, Gardner proposes that humans possess eight distinct types of intelligence, each representing different ways of processing information and solving problems. This theory has significant implications for education, suggesting that teaching and learning should address diverse intelligence profiles rather than focusing solely on linguistic and logical-mathematical abilities. By recognizing and nurturing all forms of intelligence, educators can create more inclusive, effective learning environments that honour the unique cognitive strengths of each student.

In the world of e-learning development, we often find ourselves stuck in a comfortable but limiting pattern. We meticulously gather content, organize it into logical sections, add some knowledge checks, finish with a quiz, and call it a day. But what...

Have you ever found yourself stuck in the endless cycle of recording, re-recording, and editing voiceovers for your eLearning courses? Or maybe you've had to delay course launches because your voice talent wasn't available for those last-minute scrip...

This eBook explores how generative AI is transforming eLearning through personalized, data-driven instructional design. It highlights AI's capabilities in creating custom learning paths, generating content, and providing predictive analytics to forecast learner performance. AI enhances learning analytics, offering real-time insights and deep data analysis to refine courses continuously. It also automates reporting, supports instructors in decision-making, and powers scenario-based simulations. The book also addresses challenges in implementing AI—such as data privacy, bias, infrastructure needs, and educator resistance—and provides strategies to overcome them. It concludes with best practices for selecting AI tools, building AI-ready infrastructure, and integrating AI effectively without replacing the human element in education. Case studies from corporations and universities illustrate successful applications, and future trends like emotional AI and VR-driven learning are explored.

The recent Adobe-hosted online panel discussion, moderated by David Leaser, featured insightful conversations with industry leaders Allen Partridge (Adobe), Lauren Sullivan (MathWorks), and Lindsey Ernst (IBM). The discussion explored how AI is resha...