AI in Learning and Development: 3 Best Practices to Accelerate Learning
Hattie Pursell
3 minutes
February 23, 2024

No surprise, Artificial Intelligence (AI) I was one of the hottest topics 2023, and AI in Learning and Development is no different. Linkedin’s Future of Work Report stated that conversations around AI increased by 70%. With skills sets set to rise up to 65% by 2030, it’s time we adapt our L&D strategies to create an agile and adaptable workforce for our business. Here we’ve listed 3 essential practices to use in 2024 to best use AI in Learning and Development.

1. Learn your AI tech

Before diving into the world of AI, it’s crucial to understand what’s out there. From smart learning systems to personalised machine learning tools, AI technologies are evolving rapidly, offering unlimited access to information that might be unregulated. That said, AI  tools are revolutionising learning and development, and you should be the one to recommend the best tech out there for your team. 

AI learning tools:

  • AI-powered Learning Management Systems (LMS): Platforms that use AI to personalise learning experiences, recommend courses, and analyse learning patterns for more effective training programs.
  • Chatbots and Virtual Assistants: These AI tools provide on-demand support, answer queries, and offer guidance to learners, making the learning process more interactive and accessible. 
  • Adaptive Learning Platforms: Using AI algorithms, these platforms adapt the learning content in real time based on the learner’s performance, ensuring a customised learning journey.
  • AI-driven Analytics: Tools that analyse learning data to provide insights into learner engagement, progress, and areas for improvement, enabling targeted interventions.

Exploring these technologies can help identify which tools best align with your organisation’s learning goals.

2. Understand your workforce needs 

AI in L&D hinges on a deep understanding of your workforce needs. This encompasses skills development, training requirements, and well-being considerations, particularly as some employees may feel apprehensive about adapting to AI-driven learning methods. 

Here are some questions to consider:

  • What is your workforce’s skill level in AI?
  • How are your employees feeling towards rapid changes in technology? 
  • Are your workforce already harnessing tools to assist in learning, and if so, which?

And remember, you can harness AI to obtain this data – check out Guider’s 10 essential metrics to track in L&D.

Skills and Training Needs Analysis: Use AI to analyse job roles, skills gaps, and training requirements. This can help tailor learning paths that are both relevant and engaging for employees.

Well-being and Adaptability: Implement AI tools that offer support for well-being, such as apps that provide mindfulness and stress management training. Recognise that the human aspect of learning is irreplaceable and ensure that AI tools are introduced as enablers rather than replacements.

Feedback Loops: Establish mechanisms to gather feedback on AI tools and learning experiences. This can inform continuous improvement and ensure that the technology aligns with employee needs and comfort levels.

3. AI and Human Connection: A Bridge to Mentoring

We as L&D leaders can and should be encouraging the use of AI in learning and development, but not at the discouragement of peer-to-peer learning. Learning through human connection can and will always be essential. Even in remote settings, human connection has been essential for soft-skills development. At the intersection of AI and human connection lies the powerful concept of AI-powered mentoring. By leveraging AI, organisations can create more meaningful mentoring relationships, connecting mentors and mentees based on compatibility, learning objectives, and career aspirations. 

Here’s how AI can accelerate human connections in your business:

  • AI Matching: Use AI tools to match employees internally. With high precision, considering factors like skills, interests, and personal development goals.
  • Monitoring Progress: AI tools can help track the progress of skills development, offering insights into the effectiveness of your L&D initiative and identifying areas for growth.
  • Enhanced Interaction: Incorporate AI-driven platforms that facilitate communication and collaboration between mentors and mentees, ensuring regular interaction and support.

Harnessing AI with human mentoring, organisations can create a more personalised, supportive, and impactful learning environment. This blend of technology and with human learning in turn improves employee engagement, encourages networking and aids in the development wider L&D initiatives such as leadership development, closing skills gaps and DEI objectives.

AI in Learning and Development can power human connection, use technology to get the perfect match today.

Harness AI in Learning and Development today

Embracing AI in Learning & Development requires a balanced approach. By exploring AI technologies, deeply understanding the needs of your workforce, and leveraging AI to enhance human connections, you can navigate the future of L&D with confidence and creativity. The journey toward AI-enhanced learning is an exciting one, with each step offering the opportunity to transform learning experiences, drive skill development, and foster a thriving, resilient workforce.

What's next?

Whenever you’re ready… here are 3 ways Guider can help you supercharge your L&D with mentoring:

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Everything you need to create and scale an effective workplace mentoring programme. Includes: setup checklist, matching guide, expert advice, proving ROI and much more.

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