The Future of Learning: How Mobile Learning and AI Are Shaping Career Paths

Staying competitive and relevant is a constant challenge in the modern job market.

The recent ICMS Employability Symposium discussed how emerging technologies, particularly mobile learning and artificial intelligence (AI), are shaping career paths and transforming the way we acquire new skills.

Oscar Battram from Lantern.AI shared valuable insights on the impact of tech on career paths and what the future in this area looks like.

The Impact of Tech on Career Paths

With the advent of AI, we are witnessing a profound transformation in the workplace.

Increasingly, tasks are being automated, which raises questions about the future of various job roles.

However, instead of replacing human workers entirely, AI is creating new opportunities and demands for specific skill sets.

One significant trend is the shift towards a greater emphasis on psychosocial skills. While automation handles routine tasks, human workers are increasingly needed for tasks that require empathy, creativity, and complex problem-solving.

For instance, automated check-in systems are becoming common, but human staff are essential for handling customer complaints and complex issues. This shift highlights the importance of cultivating and developing soft skills for the workforce of the future.

The Role of the Internet of Things (IoT)

The Internet of Things (IoT) is another technology that is impacting career paths.

IoT devices can monitor various aspects of the workplace, from physical safety measures to psychological well-being.

By collecting data from sensors and devices, organisations can identify potential risks and create safer and more comfortable environments for their employees.

This emphasis on safety and well-being is reshaping the way companies approach employee health and job satisfaction.

How Do People Want to Consume Learning?

Convenience and accessibility are increasingly paramount when it comes to learning.

According to the symposium’s findings, 90% of people prefer to access learning materials on their mobile phones. This underscores the need for learning platforms to be mobile-friendly and user-friendly.

Additionally, 40% of individuals are less likely to engage with learning content if the login process is cumbersome. Therefore, it’s crucial to prioritise easy onboarding processes to ensure that learners can access content quickly and effortlessly.

The Demand for Structured Learning Paths

Structured learning paths are in high demand. Learners want clear and well-defined trajectories for their educational journeys. These paths provide a sense of direction and progress, helping individuals set and achieve their learning goals.

The Power of Gamification and Augmented Reality

Modern learners also seek engaging and interactive experiences.

Gamification and augmented reality have emerged as effective tools for creating immersive learning experiences. By incorporating game elements and interactive simulations, organisations can make learning more enjoyable and effective.

Tailored Content and AI-Generated Training

Personalisation is a key aspect of effective learning.

People want content that is tailored to their needs and interests. One exciting development is the use of AI to generate personalised content. For example, AI can convert text-based information into video content, making learning more engaging and accessible.

AI-Embedded Learning for Individualised Growth

One of the most significant advantages of AI in learning is its ability to adapt to individual learners.

AI can monitor and analyse how individuals learn, ensuring that they are appropriately challenged and engaged. This adaptability allows AI to adjust the learning experience in real-time, enhancing its effectiveness.

Just-in-Time Learning and Learning Analytics

People want learning to be available when they need it most.

Just-in-time learning ensures that individuals can access quick, relevant information precisely when they require it. AI plays a crucial role in identifying these moments and delivering the necessary learning resources.

AI-driven learning analytics can also provide valuable insights into an organisation’s training programs.

By analysing data, AI can identify areas where teams need improvement and suggest strategies to enhance overall productivity and performance. This data-driven approach helps organisations focus on the most critical issues and prioritize their efforts effectively.

Identifying Red Flags in Training

Lastly, AI can serve as a safeguard in the learning process. It can identify potential issues in training, such as incorrect or outdated information.

By flagging these issues, AI helps maintain the quality and accuracy of training materials, ensuring that learners receive the correct information.

Conclusion

Led by the expertise and insights of Oscar Battram, the ICMS Employability Symposium highlighted the profound impact of mobile learning and artificial intelligence on career paths.

These technologies are revolutionising how we learn, making it more accessible, personalised, and effective.

As these advancements are embraced, individuals and organisations can stay ahead in a rapidly changing job market, equipped with the skills and knowledge needed to thrive.

The future of learning is here, and it’s driven by the powerful combination of mobile technology and AI.

For more information about the ICMS First Annual Employability Symposium, click here.