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The Future of Learning: Evaluating Training for Impact in a Changing World

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内容由Sopact提供。所有播客内容(包括剧集、图形和播客描述)均由 Sopact 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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By 2030, over one billion people will require retraining due to the rise of AI, robotics, automation, and green transitions. Yet, more than 92% of the world’s population faces financial barriers to quality education. The result? A looming global skills crisis that could leave 530 million people without secure work, costing trillions in lost economic output.

In this episode, we explore the essentials of training evaluation — a critical yet often overlooked component of workforce development. With organizations investing billions in learning initiatives, how do we ensure these programs deliver measurable impact, align with business goals, and drive meaningful change?

Join us as we dive into:

  • Types of Training Evaluation: Discover formative, summative, and ROI-based approaches to measure training outcomes effectively.
  • Importance of Evaluation: Learn how robust evaluation improves decision-making, productivity, and alignment with organizational objectives.
  • Step-by-Step Framework: Understand the systematic process of defining goals, collecting data, analyzing results, and implementing continuous improvements.
  • Modern Tools and Techniques: Explore how AI-driven platforms and Learning Management Systems (LMS) are revolutionizing training evaluation, while addressing their limitations.
  • The Human-Centered Approach: Find out why meaningful feedback, personalization, and real-time interventions are essential in today’s AI-powered age.

We’ll also discuss a real-world case study from the Entrepreneur Academy, showcasing how data-driven tools like Sopact Sense transform training feedback into actionable insights. From analyzing learning roadblocks to creating tailored interventions, this practical example highlights how organizations can achieve better training outcomes and workforce engagement.

Key Takeaways:

  • Why traditional evaluation methods fall short in capturing human-centered experiences.
  • How AI tools uncover hidden trends and personalize training journeys.
  • Actionable strategies for designing impactful, scalable training programs in any industry.

If you’re a learning and development professional, educator, or leader preparing for the workforce of tomorrow, this episode is your ultimate guide to measuring what matters in training evaluation. Tune in to stay ahead in the age of automation, and discover how thoughtful, data-backed learning strategies can create a skilled, adaptable, and resilient workforce.

  continue reading

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Artwork
icon分享
 
Manage episode 456037206 series 3625261
内容由Sopact提供。所有播客内容(包括剧集、图形和播客描述)均由 Sopact 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send us a text

By 2030, over one billion people will require retraining due to the rise of AI, robotics, automation, and green transitions. Yet, more than 92% of the world’s population faces financial barriers to quality education. The result? A looming global skills crisis that could leave 530 million people without secure work, costing trillions in lost economic output.

In this episode, we explore the essentials of training evaluation — a critical yet often overlooked component of workforce development. With organizations investing billions in learning initiatives, how do we ensure these programs deliver measurable impact, align with business goals, and drive meaningful change?

Join us as we dive into:

  • Types of Training Evaluation: Discover formative, summative, and ROI-based approaches to measure training outcomes effectively.
  • Importance of Evaluation: Learn how robust evaluation improves decision-making, productivity, and alignment with organizational objectives.
  • Step-by-Step Framework: Understand the systematic process of defining goals, collecting data, analyzing results, and implementing continuous improvements.
  • Modern Tools and Techniques: Explore how AI-driven platforms and Learning Management Systems (LMS) are revolutionizing training evaluation, while addressing their limitations.
  • The Human-Centered Approach: Find out why meaningful feedback, personalization, and real-time interventions are essential in today’s AI-powered age.

We’ll also discuss a real-world case study from the Entrepreneur Academy, showcasing how data-driven tools like Sopact Sense transform training feedback into actionable insights. From analyzing learning roadblocks to creating tailored interventions, this practical example highlights how organizations can achieve better training outcomes and workforce engagement.

Key Takeaways:

  • Why traditional evaluation methods fall short in capturing human-centered experiences.
  • How AI tools uncover hidden trends and personalize training journeys.
  • Actionable strategies for designing impactful, scalable training programs in any industry.

If you’re a learning and development professional, educator, or leader preparing for the workforce of tomorrow, this episode is your ultimate guide to measuring what matters in training evaluation. Tune in to stay ahead in the age of automation, and discover how thoughtful, data-backed learning strategies can create a skilled, adaptable, and resilient workforce.

  continue reading

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