Learning & Development

The future of workplace learning: 9 trends to watch

Are you an L&D professional struggling to keep employees engaged and developing the skills they need to make the business more profitable and effective? 

Do you face challenges in personalising learning experiences and making them more interactive? 

Do you dream of a workplace where learning is fun, inspiring, and seamlessly integrated into daily tasks? 

If so, this article is for you.

We’ll take a look at nine of the biggest trends sweeping workplace learning to understand what the future holds for L&D and provide some inspiration to those of you who are ready to innovate your L&D offering and take it to the next level. 

 

 

1. Artificial Intelligence (AI) and Machine Learning

 

What is AI and ML?

AI is probably mentioned in every ‘trends’ article published in every industry these days – and this article is no different. 

Because the impact of artificial intelligence on the workplace is already seismic, due to the huge leaps made in the technology in recent years. 

AI refers to the simulation of human intelligence in machines that are programmed to think and learn, while machine learning is a subset of AI that involves training algorithms to learn from and make predictions based on data.

 

Why are they important?

AI and ML can enhance workplace learning by offering personalised experiences and real-time support. These technologies can analyse vast amounts of data to tailor learning content to individual needs, predict skills gaps, and provide instant feedback.

 

Examples in Practice:
  • IBM Watson: Is an AI platform that provides personalised learning recommendations and real-time analytics. By integrating Watson into their learning management systems, organisations can offer customised learning paths based on individual employee data. Watson analyses various metrics, including employee performance, learning styles, and engagement levels, to tailor content and suggest courses that are most relevant to the learner’s needs.

 

  • Microsoft: Uses AI to personalise learning experiences for its employees, tailoring content based on individual learning preferences, past performance, and career goals. Microsoft’s AI-driven learning management system, Microsoft Viva Learning, integrates with Microsoft Teams to deliver a seamless and personalised learning experience.


2. Virtual Reality (VR) and Augmented Reality (AR)

 

What are VR and AR?

VR creates a simulated environment that users can interact with in a seemingly real way, while AR overlays digital information onto the real world.

 

Why are they important?

These technologies provide immersive, hands-on experiences that enhance engagement and retention by simulating real-life scenarios.

 

Examples in Practice:
  • Walmart has embraced VR to revolutionise its employee training programs. The company uses VR headsets to create realistic training scenarios for customer service, compliance, and management skills. Employees can experience situations such as dealing with difficult customers, preparing for Black Friday, or managing a store, all within a controlled, risk-free environment.

 

  • BP employs AR technology to enhance its equipment maintenance training. By using AR headsets, employees can see digital overlays on real-world machinery, providing step-by-step guidance for maintenance tasks. This allows technicians to interact with complex equipment and understand maintenance procedures without the need for physical prototypes or extensive manuals. The AR system can also highlight potential hazards and best practices, improving safety and efficiency.

3. Mobile Learning

 

What is Mobile Learning?

Mobile learning involves accessing educational content via mobile devices such as smartphones and tablets. It allows employees to engage with learning materials anytime and anywhere, making it a flexible and convenient approach to professional development. See how how to upgrade your LMS performance with a new design

 

Why is it important?

Mobile learning offers flexibility, allowing employees to fit learning into their busy schedules and engage with training materials on the go. It supports various learning styles and can be particularly effective for delivering microlearning modules that provide quick, targeted learning bursts.

 

Examples in Practice:
  • DuPont utilises mobile learning platforms to deliver bite-sized training modules that employees can access at their convenience. The company’s mobile learning strategy includes interactive content, quizzes, and videos that employees can engage with during breaks or commute times. This approach not only enhances accessibility but also helps reinforce learning through regular, short sessions.

 

  • Salesforce Trailhead is a mobile-friendly learning platform designed to provide interactive, gamified learning experiences. Users can earn badges and points by completing modules on various topics related to Salesforce products and general business skills. The mobile accessibility of Trailhead allows employees to continue their learning journey whenever they have spare time, contributing to continuous professional development

4. Adaptive Learning

 

What is Adaptive Learning?

Adaptive learning is an educational method that uses technology and data to tailor learning experiences to the individual needs of each learner. By adjusting the difficulty and type of content based on the learner’s progress and performance, adaptive learning systems provide a personalised learning experience that optimises engagement and effectiveness.

 

Why is it important?

Adaptive learning ensures that learners receive the most relevant and effective content, which improves learning outcomes and efficiency. This personalised approach can help learners master subjects more quickly and thoroughly by focusing on areas where they need the most improvement.

 

Examples in Practice:
  • Coursera for Business leverages adaptive learning technologies to deliver personalised learning experiences to corporate clients. The platform uses AI to analyse learner behaviour and performance, adjusting course recommendations and content difficulty in real-time. 

 

  • McGraw-Hill ALEKS uses AI to assess students’ knowledge and identify their strengths and weaknesses. It then provides personalised learning paths that adapt in real-time as students progress. This method has been shown to help learners master complex subjects more efficiently by focusing on their specific needs 

5. Data-Driven Insights

What are Data-Driven Insights?

Data-driven insights refer to actionable conclusions derived from the analysis of various data sets. In the context of workplace learning, this involves collecting and analysing data on employee interactions with training materials, their performance, engagement levels, and learning preferences. Advanced analytics and AI are often employed to process this data, identify patterns, and generate insights that can inform decision-making and strategy development in L&D.

 

Why are they important?

They allow organisations to truly understand how users are interacting with their LMS platforms by tracking progress, identifying areas for improvement, and tailoring training to meet specific needs. Click on here if you’d like a bit more information on data

 

Examples in Practice:
  • Unilever employs its Degreed platform to gather extensive data on employee learning preferences and behaviours. This data helps the company tailor learning experiences to individual needs and identify specific skills gaps. By analysing learning patterns, Unilever can recommend relevant courses to employees, thereby enhancing engagement and training effectiveness. 
  • BP uses advanced data analytics to monitor and evaluate the effectiveness of its training programs. By continuously analysing performance data, BP identifies areas where employ

6. Learning Pathways

 

What are Learning Pathways?

L&D professionals will no doubt know what learning pathways are, so we don’t want to insult your intelligence. However, if you’re not aware of learning pathways, they are structured sequences of educational experiences designed to help learners achieve specific career or personal development goals. These pathways are often customised to fit the unique needs and aspirations of each individual, providing a clear, goal-oriented route for skill acquisition and career advancement.

 

Why are they important?

They provide clear, goal-oriented routes for skill acquisition and career advancement.

 

Examples in Practice:
  • PwC offers personalised learning pathways that align with employees’ career goals and the firm’s strategic objectives. These pathways include a mix of on-the-job training, formal courses, and self-directed learning modules. 
  • Unilever MyLearning: Provides tailored learning experiences based on roles, interests, and aspirations. 
  • DHL: Curated learning pathways that upgrade LMS performance

7. Social Learning Platforms

 

What are Social Learning Platforms?

Social learning platforms are digital environments that facilitate peer-to-peer learning and knowledge sharing through social networking tools. These platforms allow employees to interact, collaborate, and share insights in real-time, fostering a culture of continuous learning and collective intelligence.

 

Why are they important?

They enhance knowledge sharing, improve teamwork, and boost employee engagement by creating a collaborative learning environment. Social learning platforms help break down silos within organisations and promote the exchange of best practices and innovative ideas.

Examples in Practice:
  • Unilever: Employs its Degreed platform to gather extensive data on employee learning preferences and behaviours. This data helps the company tailor learning experiences to individual needs and identify specific skills gaps. By analysing learning patterns, Unilever can recommend relevant courses to employees, thereby enhancing engagement and training effectiveness.

 

  • IBM: Leverages its internal social network, IBM Connections, to encourage collaborative learning and innovation. The platform allows employees to form communities based on shared interests and expertise, facilitating the exchange of ideas and best practices across the organisation. IBM Connections supports various collaborative features, such as blogs, wikis, and discussion forums, which enhance peer-to-peer learning and foster a culture of knowledge sharing.

8. Communities of Practice

 

What are Communities of Practice?

Communities of Practice (CoPs) are groups of individuals who share a common interest, profession, or passion and come together to share knowledge, solve problems, and learn from each other. These communities often form organically and are sustained by the members’ commitment to mutual learning and improvement.

 

Why are they important?

They facilitate the transfer of knowledge that formal training often misses, spur creativity and innovation through diverse perspectives and support continuous professional development via peer interactions.

 

They also promote cross-functional collaboration by breaking down organisational silos, and enhance employee engagement and retention by fostering a sense of belonging and community.

 

Examples in Practice:
  • Shell: Has established global Communities of Practice to connect employees with shared interests and expertise. These CoPs enable employees to collaborate, share knowledge, and solve problems collectively, irrespective of their geographical location. Shell’s approach includes regular virtual meetings, dedicated online spaces for discussion, and access to a repository of shared resources.

 

  • General Electric: Leverages Communities of Practice to drive continuous learning and improvement across its diverse business units. These communities are structured around specific technical or functional areas, enabling members to share insights, best practices, and emerging trends.

9. Mentorship and Coaching

 

What are Mentorship and Coaching?

Mentorship involves experienced professionals guiding less experienced colleagues, providing advice, support, and sharing knowledge to help them navigate their careers. Coaching, on the other hand, is a more structured process where a coach works with an individual to improve specific skills, performance, and personal development through regular, goal-oriented sessions.

 

Why are they important?

Mentorship and coaching are becoming increasingly popular because they offer personalised guidance that addresses the specific needs, strengths, and career goals of individuals. 

Cultural and generational shifts towards continuous feedback and meaningful relationships make these programmes more relevant, boosting employee engagement and retention by making employees feel valued and supported. See how we’ve developed a PDP tool for Tesco.

 

Examples in Practice:
  • Google has a well-established mentorship programme that pairs experienced employees with new hires to help them navigate their roles and develop their skills. This scheme is integral to Google’s onboarding process and continuous learning culture, ensuring that new employees receive the support they need to succeed and integrate smoothly into the company.

 

  • Microsoft’s coaching programme pairs employees with professional coaches based on identified areas for improvement and potential growth, such as leadership and communication. Employees set clear, measurable goals with their coaches and engage in regular one-on-one sessions to receive tailored feedback and develop action plans.

By staying on top of these trends, you can ensure your learning and development strategies are not only effective but also future-proof. Which means you’re not just addressing today’s challenges but also preparing your employees for tomorrow, helping them stay ahead of the curve.

Innovating in learning isn’t just about using the latest tech for the sake of it – it’s about making learning more engaging and relevant. Let’s be honest, traditional training methods can often be a bit dull and may miss the mark with today’s workforce, who expect interactive and personalised experiences like they get outside of the office. 

By staying informed about these trends and continuously exploring new methods, you can create a dynamic and effective learning environment that truly meets the needs of your workforce. This not only boosts employee engagement and retention but also sets your company up for long-term success and growth. 

If you’d like to see more, click here to see examples of learning projects that , 

Written by Ben Gross