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Learning Strategy

Benchmarking Success: Metrics that Matter in Learning Analytics

As organizations strive to enhance their learning experiences, strategies, and technologies, the need for precise, actionable metrics to gauge success has never been more critical. In “Benchmarking Success: Metrics that Matter in Learning Analytics,” we explore the essential metrics in learning analytics that can benchmark success and drive continuous improvement in your learning programs.

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Young African American business women working on computer with an "AI" holographic overlayed, balancing the human touch with AI in learning experiences
Learning Strategy

Balancing Human Touch with AI in Learning Experiences

The integration of Artificial Intelligence (AI) in LMS systems and learning strategies is transforming how organizations train and develop their workforce in the learning and development space. Balancing human touch with AI in learning experiences ensures the efficiency and personalization that AI offers complements the irreplaceable human element. This balance is critical for creating effective and engaging learning experiences, ensuring that technological advancements enhance rather than overshadow the essential human elements of learning and development.

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Learning Strategy

From Reactive to Integrated: How Mature is Your Learning Strategy?

As organizations evolve, the maturity of their learning strategy can significantly influence their overall success, competitiveness, and bottom-line results. The journey from a reactive learning approach to a fully integrated, strategic function encompasses several stages, each characterized by distinct features and capabilities. Understanding these stages can help organizations assess their current position and chart a path toward more effective learning and development practices.

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A 3D rendering of a blue-purple colored circuit board, with a circuit brain under an AI chip, and a shield with a lock hovering above it, and the title of the article overlaid, to conceptually represent the idea of "Privacy and Ethics in AI-Enabled Learning"
AI

Privacy and Ethics in AI-Enabled Learning: What You Need to Know

AI has become a pivotal tool, offering unprecedented opportunities to enhance the effectiveness and personalization of learning experiences. As organizations increasingly incorporate AI into their learning strategies, addressing the ethical considerations and privacy implications that accompany these technologies is crucial. This article explores the key concerns and provides guidance for companies looking to responsibly integrate AI into their learning ecosystems.

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Augmented Reality

Augmented Reality in L&D: Hype or the Next Big Thing?

AR in L&D is proving to be more than just the latest fad, in fact, it provides one of the best options for just-in-time learning. Its ability to integrate seamlessly into natural settings, enhancing both learning engagement and retention, positions AR as a crucial component of future educational landscapes.

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Custom Content

Custom vs. Off-the-Shelf Content: Integrating Both for a Well-Rounded Learning Strategy

Choosing between custom and off-the-shelf learning content is not about selecting one over the other but understanding how to effectively integrate both to build a comprehensive learning strategy. Each type of content serves unique purposes and, when used synergistically, can greatly enhance the learning experience, catering to immediate needs while fostering long-term growth and adaptability within an organization.

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A colorful microchip with AI in 3D letters resting on top, also colorful. Logo overlayed with the title of the article
AI

AI and the Future of Learning: A High-Level Overview

In the rapidly evolving landscape of L&D and corporate training, the integration of Artificial Intelligence (AI) has heralded a new era of innovation and efficiency. This article explores how AI is shaping the future of learning. We will explore the impact of Generative AI (GenAI) on content creation as well as other uses of AI, such as custom learning paths and prescriptive learning analytics.

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