Artificial intelligence will revolutionize the way training and development leaders measure the impact and effectiveness of their programs.
One of the key benefits of AI in training and development is its ability to analyze large amounts of data and identify patterns that might not be immediately apparent to human analysts. For example, researchers at the University of California, Berkeley, have developed an AI system that can analyze the performance of employees in a simulated workplace and identify the specific training interventions that are most effective at improving performance. The AI system was able to identify patterns in the data that the researchers were not aware of, and the results of the study showed that the AI-generated recommendations were as effective as those made by human experts.
Another way that AI can help training and development leaders measure impact and effectiveness is by providing real-time feedback on participant engagement. For example, an AI-powered virtual reality training program developed by researchers at the University of North Carolina at Chapel Hill, allows trainees to interact with virtual environments and provides real-time feedback on their performance and engagement. The researchers found that the AI-powered program was more effective at engaging trainees and improving learning outcomes compared to traditional training methods.
AI can also be used to personalize training programs to better meet the needs of individual learners. According to a study by the University of Wollongong, AI-powered personalized learning can lead to significant improvements in learning outcomes. The study found that personalized learning programs that used AI to adapt content and assessments to individual student needs resulted in an average improvement of 15-20% in student learning outcomes.
AI has the potential to revolutionize the way training and development leaders measure the impact and effectiveness of their programs. By leveraging the power of AI, leaders can gain a deeper understanding of the factors that contribute to the success of their training initiatives and make data-driven decisions to improve outcomes. As AI technology continue to evolve, the opportunities for training and development leaders to use it to measure impact and effectiveness will continue to grow.
- “An AI-Driven Training System for Improving Performance in a Complex Workplace”, by David C. Parkes, et. al, Berkeley, 2018
- “Virtual Reality Training with Real-Time Feedback Increases Engagement and Learning”, by Z. John Wang, et. al, University of North Carolina, 2016
- “Personalised Learning with Artificial Intelligence”, by Manolya Kavakli, et. al, University of Wollongong, 2015