Increase Engagement: Elevate Your E-Learning With Effective, AI-Driven Gamification

Personalised Training With AI: The use of artificial intelligence (AI) technologies to tailor training programs has allowed trainees to personalise employee training programs. As e-learning technologies and applications evolve, AI-powered training models are becoming increasingly learner-centric.

Personalised training with AI is expected to revolutionise employee training initiatives in corporate settings. Machine learning in gamified systems can significantly enhance personalised employee training by tailoring learning experiences to individual needs, preferences, and performance levels.

Gamified systems can respond to input data and calibrate the training to the user in real-time. This instantly and effectively personalises the training content and adjusts the learning outcomes to the individual’s preferred method of learning. Personalised training with AI is even more flexible, customised and efficient.

How does AI personalise training in gamified systems?

Machine learning algorithms can analyse employee interactions within a gamified system to understand their learning patterns. Based on these patterns, the system adjusts the difficulty, type, and sequence of content delivery to match each employee’s learning pace and style.

A gamified e-learning system integrates elements of game design and mechanics into the user’s learning experience. Gamification aims to increase engagement, motivation, and retention by making learning more interactive, enjoyable, and rewarding.

For example, users earn points for completing activities, quizzes, or modules, points and badges for achieving milestones and advancing through different levels for successfully completing tasks.

AI models enhance personalised training by continuously assessing employee skills and knowledge levels through gamification data. An individual’s progress is tracked and the challenges are adjusted to the user’s difficulty level in real-time.

Personalised training with AI, therefore, ensures that employees receive challenges and tasks that align with their skillset, knowledge and capability level without overwhelming or underwhelming players.

Moreover, personalised training programs can address the specific areas an individual needs to develop and help to maintain engagement and motivation during training sessions.

AI models have built-in recommendation engines to provide a tailored learner experience. Employees receive targeted suggestions for further learning based on their strengths, weaknesses, and interests, which helps to advance the learner at a pace they are comfortable with.

You can also enhance personalised training with AI by syncing it with gamification elements. Algorithms analyse employee behaviour to identify what motivates each individual and predict which types of rewards or incentives are most effective for each employee, i.e. points, badges, leaderboard or virtual currency.

Learning By Doing

Studies show that people retain 75% of information and have superior memory recall when they learn by doing. Compared to the measly 5% memory retention on attending a lecture or even the 20% from audio-visual learning, skill development is significantly higher when employees are given the opportunity to learn by doing.

Research from the Journal of Applied Psychology shows that employees who receive hands-on training not only learn more effectively but also develop job-related skills faster.

Personalised training with AI helps employees to realise these statistics. E-learning strategies built on AI-driven platforms generate analytics that provide valuable insights for both employees and managers to make informed decisions.

For example, feedback based on an individual’s performance data identifies how employees can reach their full potential. AI models optimise training paths and reduce the time spent on irrelevant or redundant content — which can be demotivating.

Tailored content and feedback lead to better retention of information and application of knowledge. It also expedites an employee’s skill development, reduces training time, and improves job performance. This leads to increased productivity, better job satisfaction, and higher retention rates.

Because learning by doing promotes the application of knowledge in real-world situations, personalised training with AI helps individuals master skills faster and more effectively. Consequently, individuals typically adopt critical thinking and problem-solving abilities earlier than they would ordinarily be expected of them.

AI-powered training systems also improve safety in the workplace. Wearables equipped with AI can monitor employee movements and provide real-time alerts to prevent accidents. And because training programs can simulate real-world scenarios and provide personalised safety tips, workplace injuries are less likely.

Conclusion

By harnessing the power of machine learning in gamified systems, businesses can create dynamic and personalised training with AI that maximises employee learning, skill development and job performance.

Sliced Bread Animation specialise in creating custom-built e-learning models which leverage gamification. We have years of experience working with well-known brands in the medical, construction and food and beverage sectors. When you’re ready to take your employee training to the next level, contact us and ask how we can create personalised training with AI for you.

Contact us today and start creating a gamified AI learning experience that takes your training to new heights.