With the ability to analyze large volumes of data and identify hidden patterns, AI in measurement can help organizations make informed decisions, align L&D strategies with business objectives, and contribute to the overall success of the business.

Traditional methods, like Kirkpatrick’s model, are outdated and do not align with the modern workforce. A new technology-driven approach is needed to evaluate learning efficiency and align L&D strategy with business objectives.

This article explores key L&D trends, from the crucial role of Emotional Intelligence and evolving Instructional Design to the rise of Skills-Based Organizations and the integration of AI in workplace learning. Dive into the dynamic interplay of technology, adaptability, and continuous learning, shaping a future where L&D becomes a proactive driver of organizational success.

Integrating advanced instructional design with technology-driven tools helps create adaptive and personalized adult learning solutions and equips the workforce with relevant skills needed to thrive in an evolving workplace.

The evolution of the modern workplace as created employee disengagement challenges for nearly 85% of businesses (Gallup State of the Global Workplace 2023 Report). Continuous learning, skill development, and a focus on learner engagement can help overcome challenges and gain a competitive edge.

Given the evolving needs of a global workforce and L&D landscape, key learning technology trends, such as personalized learning, virtual reality simulations, and AI-driven content delivery, will play a crucial role in L&D in 2024.

Each year, EI conducts a strategic review, assessing learner experience, learning technology, L&D strategy, and business performance impact. Covering customer solutions and industry benchmarks, it offers a holistic view of the evolving L&D landscape.

Each year, EI conducts a strategic review, assessing learner experience, learning technology, L&D strategy, and business performance impact. Covering customer solutions and industry benchmarks, it offers a holistic view of the evolving L&D landscape.

Learning and technology are joined at the hip. You can’t have one without the other. Employers around the globe are on a journey of learning and performance transformation powered by emerging technologies like artificial intelligence (AI), machine learning (ML), virtual and augmented reality (AR/VR), and more.

To craft an L&D strategy for 2024 and beyond, intensive utilization of technology, a modern instructional design approach, and content design are essential for a global, diverse workforce to achieve the desired learning outcomes and a positive ROI.

The World Economic Forum estimates that nearly 44% of workers’ current skills will be disrupted in the next five years. L&D must focus on a strategy that leverages technology to align training initiatives with business goals.

To adapt to the changes enforced by digitization in the modern workforce, organizations must reevaluate learning and development strategies. Implementing adaptive learning can be a key consideration to enhance overall learning outcomes.

Adaptive Learning and the Modern Workforce Adaptive Learning refers to a technology-driven approach that delivers personalized learning, enabling organizations to offer bespoke learning according to the individual needs and preferences of each employee.

The need for learning has changed with the presence of a multigenerational workforce. It is crucial to realize this transformation, given the changing demographics and shifting workplace paradigms, and the subsequent impact on the workforce.

There’s a paradigm shift in workforce compositions today. And it’s impacting everything – from how individuals choose to interact (in-person vs. virtual) and work (on-premises vs. remote), to communication preferences (one-on-one, in-person, text, voice, video), and rewards and benefits. And yes, this paradigm change also impacts how employees learn and develop.

Simulation training is a form of experiential learning that replicates real-world scenarios for practice, learning, or assessment. It helps create real-world scenarios to enable individuals to practice specific tasks.

AI has emerged as a catalyst for change in the L&D sector. The article explores the role of AI-driven personalized learning in creating a more individualized, inclusive, and effective remote team training, grooming future leaders, and maximizing ROI.

Forging robust links between Learning, Talent Development, and Performance, as a core L&D strategy is pivotal. This article explores how aligning these elements ensures positive outcomes and productivity, which is vital for organizational growth.

This article shares insights for developing an effective measurement strategy to assess the effectiveness of your learning technology stacks.

A global shift in business models has caused L&D leaders to rethink the skills they require to respond to the new paradigm and to employees’ changing learning needs. This article explores those new L&D skills and why L&D needs them to keep up with the times.