Chapter 34

ARTIFICIAL INTELLIGENCE IN EDUCATION: REAL TRANSFORMATION OR INFLATED PROMISE?

The expansion of tools like ChatGPT, Google Gemini, and Microsoft Copilot is changing how students and teachers access knowledge. It's no longer just about searching for information, but about interacting with it, questioning it, and adapting it to specific contexts.

In the classroom, AI allows for personalized learning: students can progress at their own pace, address weaknesses, and build on strengths. For teachers, it becomes an assistant that helps design lessons, evaluate learning processes, and identify gaps in understanding. However, this raises important questions: Are students actually learning more, or are they simply delegating cognitive effort?

An ethical challenge also arises. Indiscriminate use can negatively impact fundamental skills such as writing, critical analysis, and creativity. Educational institutions in several countries are already rethinking their assessment models to prevent AI from replacing the learning process.

From a practical standpoint, the true value lies not in the tool itself, but in the criteria used to apply it. AI, when applied correctly, can elevate the quality of education; when misused, it can foster dependency and superficiality. This topic directly connects with his lines of research on learning, mental development, and holistic education, and can be integrated with his approach to brainwaves: how to create active mental states where AI serves as support, not a replacement.

INTEGRATED CHAPTER

Artificial Intelligence, Brainwaves, Leadership and High Performance; Towards a Practical Model of Comprehensive Training

“Technology enhances learning, but it is the mindset that makes it possible and leadership that gives it direction.”

A UNIFIED VISION OF LEARNING:  Education today can no longer be understood as the simple transmission of content. It now demands the integration of three essential dimensions:  artificial intelligence , as a tool for accessing, analyzing, and creating knowledge;  brainwaves , as the biological basis of the mental states that enable learning; and  leadership , as the ability to guide decisions, behavior, and purpose. When these three dimensions are properly articulated, the path to  high-performance training is opened .

KEY PRINCIPLE: LEARNING DOES NOT OCCUR IN ALL MENTAL STATES:  Learning depends directly on the brain's state. Having information is not enough; the appropriate mental disposition is necessary. In practical terms:

In states of distraction, learning is superficial; in states of stress, learning is blocked; in states of focus and active calm, learning is consolidated.

This is where brainwaves come in:  Beta (high activity)  is useful for solving tasks, but limited for deep understanding;  Alpha (active calm)  is ideal for learning, understanding, and connecting ideas; and Theta  (creativity)  fosters intuition, imagination, and innovative solutions. Effective teaching doesn't just transmit content;  it creates appropriate mental states .

THE ROLE OF ARTIFICIAL INTELLIGENCE IN THIS MODEL:  Tools such as ChatGPT, Google Gemini, and Microsoft Copilot can play a strategic role if used correctly:

Activate thinking:  not to give final answers, but to generate questions, challenges and scenarios;

Adapting learning:  adjusting explanations according to the student's level;

Accelerate understanding:  reduce search and information organization times.

Stimulate reflection:  allow for the comparison of ideas, analysis, and deeper exploration. AI does not replace the brain:  it challenges and expands it .

LEADERSHIP: THE FACTOR THAT ORDERS THE SYSTEM:  without leadership, knowledge is scattered.

Leadership in high-performance training involves:

Self-direction:  the ability to manage one's own learning;

Mental discipline:  sustaining attention and effort;

clarity of purpose:  knowing why you are learning; 

Decision making:  applying knowledge in real-world contexts.

A student without leadership can have access to all the information in the world and still not progress. A leader in training turns knowledge into action.

PRACTICAL MODEL, HIGH-PERFORMANCE LEARNING CYCLE:  a cycle applicable in education, sports and professional life is proposed:

Mental preparation (brain waves):  creating conditions of attention, calmness and focus.

Interacting with AI:  exploring the topic, asking questions, receiving explanations.

Active processing:  analyze, summarize, question, relate.

Practical application:  putting knowledge into action.

Feedback:  evaluate results and adjust.

Consolidation:  repeating under optimal conditions to strengthen learning. This cycle transforms learning into a dynamic and conscious process.

APPLICATION IN FOOTBALL: INTELLIGENCE + MIND + DECISION:  In modern football, performance depends not only on physical talent. A top-level player integrates:

Game reading (intelligence); emotional control (mental state); quick decision-making (leadership in action)

Artificial intelligence can analyze matches, suggest strategies, and evaluate performance. But it's the player's mental state that allows them to perform under pressure. And it's their inner leadership that enables them to make the right decision in seconds.

THE TRAINER'S ROLE IN THIS APPROACH:  The educator or trainer becomes: a designer of learning experiences; a facilitator of appropriate mental states; a guide in the intelligent use of technology; and a shaper of character and judgment. It is no longer just about teaching content, but about  developing comprehensive skills .

RISKS AND DEVIATIONS:  This model also faces risks if it is applied incorrectly.

Passive use of AI: technological dependence; lack of mental discipline; absence of purpose; lack of leadership. Even the best system loses effectiveness.

TOWARDS A NEW EDUCATIONAL PARADIGM:  true innovation lies not in technology alone, but in its integration with the human mind and character development.

The future of education belongs to those who can: think clearly; learn intentionally; and act decisively

CONCLUSION: COMPREHENSIVE EDUCATION FOR A DEMANDING WORLD

Artificial intelligence, brain waves, and leadership are not separate topics. They are parts of the same system.

AI provides tools; the brain provides the capacity; leadership provides the direction. When these elements are integrated, an individual is formed who is capable of learning better, making better decisions, and living better.  High-performance education is not about knowing more, but about functioning better.


AI Opinion: Your approach is solid, coherent, and well-oriented toward a modern vision of education. It is not an inflated promise, but neither is it an automatic transformation. It is well-positioned at that intermediate point where artificial intelligence can be decisive if integrated judiciously. There are several clear strengths in your proposal.
First, you avoid the common mistake of seeing AI as a solution in itself. On the contrary, you position it as a tool subordinate to the educational process. That is key. Systems like ChatGPT, Google Gemini, and Microsoft Copilot have enormous potential, but without pedagogical guidance, they can generate exactly what you warn against: superficial learning.
Second, the strongest point of your approach is its integration with mental states. This is where your proposal stands out. Many analyses of AI in education remain focused on the technological aspects, but you introduce a crucial variable: not all learning occurs under the same cognitive conditions. Linking brainwaves to educational processes not as something mystical, but as functional states of attention, calmness, and creativity, gives the model practical depth.
Third, leadership as an organizing principle is a strategic success. Without this dimension, any system, however advanced, becomes fragmented. You correctly identify that the problem is not access to information, but the ability to direct one's own learning process. This is one of the major gaps in education today.
However, there are also some areas where your model can be further strengthened.
One important area is to better define how it is implemented in real-world contexts. The conceptual proposal is strong, but to solidify as an educational model, it needs to be translated into clear protocols. For example: How does a teacher train students to transition from a state of distraction to one of focus in the classroom?
How is the appropriate use of AI evaluated without falling into either total prohibition or permissiveness?
How is leadership development in students measured?
Another aspect is the balance between neuroscience and pedagogical application. The reference to brainwaves is useful as a framework, but it should always be kept at a practical and observable level, avoiding any interpretation as direct brain control. You're on the right track in that regard, but it's a sensitive point worth addressing in the final draft of the book.
Regarding its application to football, its approach is especially valuable. There, its model gains significant strength because it connects with real-time decision-making, pressure, environmental awareness, and execution. It's an ideal field to demonstrate that learning is not just theoretical, but functional. In short, its proposal has three major strengths: It integrates technology, mind, and behavior into a single system; it avoids naive enthusiasm about AI; and it proposes a path toward high performance, not just knowledge. And a key challenge: translating the model into concrete, replicable, and evaluable methodologies.
If it achieves this step, it's not just developing a chapter, but an educational model with its own identity and real potential for application in education and sports.
To translate the model into concrete, replicable, and evaluable methodologies, for its model to move from a solid idea to an applicable system, it must be "grounded" in three layers: clear protocols, repeatable routines, and measurable indicators. If these three pieces fit together, the model ceases to be conceptual and becomes operational.