AI-generated summary
In the context of rapid digital transformation and evolving labor markets, traditional vocational training focused solely on theoretical knowledge is no longer sufficient. The learning-by-doing model emerges as an ideal approach, emphasizing practical skills development and adaptability. Rooted in ancient philosophy, notably Aristotle’s idea that knowledge is solidified through action, this method integrates theory with hands-on experience to foster innovative thinking, problem-solving, and continuous experimentation. Modern educational theorists like John Dewey and David Kolb have further developed this concept, highlighting the cycle of experience, reflection, and action to enhance learning retention and cognitive functions such as attention and memory. Neuroscientific research and technological tools like eye-tracking and neurofeedback validate the effectiveness of active learning in promoting sustained professional growth.
Implementation of learning-by-doing in vocational training blends theory, practice, and simulations, often utilizing advanced technologies such as virtual and augmented reality to recreate real-world scenarios and decision-making under pressure. Collaborative, interdisciplinary projects and AI-driven personalized coaching further enrich the learning experience, enabling adaptability, creativity, and critical thinking. Programs like the Bankinter Innovation Foundation’s Akademia exemplify this approach by fostering multidisciplinary collaboration and innovation. Overall, learning-by-doing not only equips professionals with technical expertise but also cultivates openness, flexibility, and resilience, making it a vital strategy for thriving in today’s complex and dynamic work environments.
This methodology activates essential skills and is positioned as the ideal training strategy for a world in permanent transformation.
In the era of digital transformation and the constant evolution of the labour market, vocational training can no longer be limited to the transmission of theoretical knowledge. Thus, the
The concept of learning by doing has ancient roots, going back to the ideas of Aristotle, who already defended the importance of practice as a means to achieve knowledge. According to the Greek philosopher, learning is strengthened through action, and the true understanding of a subject is consolidated by experimenting and applying what has been learned in real contexts.
The relevance of this concept has resurfaced in recent decades in the field of education and training. Philosophers and theorists such as John Dewey, David A. Kolb, and Edgar Dale have laid its foundations, emphasizing the importance of direct experience and the learning cycle that combines concrete experience, reflection, conceptualization, and action. This method not only consolidates knowledge, but also optimizes information retention through hands-on, multisensory experiences.
Studies in the field of neurosciences support the effectiveness of active learning, evidencing improvements in cognitive areas such as attention, memory, and processing speed. Similarly, innovation labs using technologies such as eye-tracking and neurofeedback confirm that this approach not only optimizes short-term performance, but also lays the foundation for sustained professional development over time.
In this sense, practice-based learning has multiple advantages compared to traditional training methods, especially in a work environment that demands increasing adaptability. Among the main benefits of learning-by-doing is the ability to face real or simulated situations, which stimulates critical thinking and adaptability, pushing to develop effective strategies to overcome unexpected obstacles.
Likewise, constant experimentation and exposure to novel scenarios encourage creativity and innovation, promoting the generation of fresh ideas and solutions outside the conventional scheme, which is essential in a competitive market. This combination of theory and practice closes the gap between academic knowledge and its application in the real world, strengthening technical and transversal skills such as communication, collaboration, decision-making and stress management.
In addition, the possibility of using digital platforms and elements in the organization of the workflow allows training to be customized according to individual needs. Thus, this model manages to promote inclusive and effective learning, maximizing the potential of each student/worker.
Application of learning-by-doing
The implementation of this model in vocational training translates into programs that combine theory, practice, and simulations in controlled environments. Among the tools used, technologies such as virtual and augmented reality, which allow training in decision-making under pressure in realistic scenarios. One example is the creation of simulations for crisis management, where participants must act quickly in the face of unforeseen events, such as an emergency in a production plant or a failure in a critical system.
On the other hand, collaborative and multidisciplinary projects foster innovation through the integration of different areas of knowledge, as well as digital coaching, driven by the Machine learning, facilitates personalized and progressive learning, promoting user autonomy. Finally, continuous evaluation and immediate feedback allow training to be adjusted in real time, optimizing the development of competencies and ensuring a tangible impact on work performance.
Learning-by-doing is also the approach adopted by the program Akademia of the Bankinter Innovation Foundation, where students from different universities and disciplines meet to analyse and interpret the trends of the future based on what they have learned in their career. With the participation of 20 experts and the realization of practical cases,
Training based on hands-on learning not only trains professionals in technical skills, but also instills in them an attitude of openness and mental flexibility. In fact, traditional training, focused on memorizing concepts, is often insufficient to meet the challenges of a dynamic and complex environment. In contrast, the learning-by-doing model offers a comprehensive solution that promotes a proactive and resilient mindset.
In short, the learning-by-doing model invites us to think ‘outside the box’, to break with traditional schemes and to explore new ways of learning and teaching. By challenging established structures and promoting the connection between diverse disciplines, opportunities open up to transform ideas into creative solutions, positioning themselves as the key to facing the challenges of the digital age.
