Mumbai (Maharashtra) [India], April 30: The proliferation of AI in higher education has created a paradox: access to knowledge is rapidly increasing, but focus is diminishing.
Musical neuroscience offers a fresh perspective: focus can be developed like musical structure. Taking inspiration from this, AI could become a tool to help with 'orchestration' rather than a factor contributing to overload.
Artificial Intelligence is now being used extensively in the field of education. In 2025, some 92% of British students confirmed using AI, with 88% employing it to assist with or to complete coursework. In business schools, this increasing automation is even reshaping the trajectory of skills development, with formative early-career tasks now being given to agentic AI.
AI on the rise, students overloaded
However, this rapid development of AI comes at a price. Never before have students had such access to knowledge, and never before has their focus been under such pressure. Cognitive psychology research shows that the fragmentation of focus, or attention, caused by digital environments significantly reduces understanding and information retention. In management schools, the challenge is no longer about imparting content but rather maintaining sustained focus: cognitive distraction now poses a real obstacle to the learning experience, at a time when international standards are placing increasing emphasis on immersive, experiential, and engaging teaching methods.
With this in mind, a question arises: How can we create conditions conducive to maintaining focus in today's information-saturated world and in an era where AI can accelerate cognitive strain as much as it can alleviate it?
To address this question, one particular area of science provides some surprisingly relevant insights: musical neuroscience. Recent research in this area shows how rhythm, anticipation, variation, and presence can influence cognitive processing. It highlights the fundamental principles of human engagement that are currently underutilised in higher education but are essential for learning in the age of AI.
Focus is developed, not mobilised at will
Contrary to what many pedagogical practices still assume, focus is not a resource that can be mobilised at will; it is something that is developed. Musical neuroscience shows that engagement occurs when three conditions are met: a rhythmic cue (the brain anticipates a pattern), controlled variation (a shift that renews interest without disrupting the structure), and physical presence (the feeling of being in sync with a source). In other words, focus is not a state, but rather the result of a structure: it is developed, guided, and reactivated.
Music reveals the mechanisms of engagement
Music can be effective in facilitating learning because it triggers the same cognitive mechanisms that are employed in a classroom or digital environment: anticipation, synchronisation, selective attention. In a musical performance, listening is never passive. The brain anticipates a pattern, adjusts to variations, and remains alert enough to stay engaged. It is this subtle oscillation between stability and novelty that maintains engagement.
Research in musical neuroscience shows that even babies, who have neither language nor social codes, remain attentive for longer when the sound structure creates anticipation, when variations are discernible, and when the performer tailors the performance to the audience. Focus, or attention, therefore results from a two-way exchange between a clear framework and unexpected micro-events, between a recognisable structure and meaningful variation, between an individual and a source that responds to signals.
Applied to higher education, this approach can be a real game changer. It is not the quantity of information that determines engagement, but the way in which it is arranged or orchestrated. A predictable yet never monotonous teaching rhythm, variations that are stimulating without being excessive, and a teacher who can adapt in real time: these are the elements that promote cognitive engagement in an environment where digital distractions are constantly vying for attention.
In reality, music does not just teach us how to listen, it teaches us how to design learning environments where focus can emerge, flow, and be reinvigorated.
Teaching as if composing: pedagogy that is orchestrated
If we transpose these mechanisms to higher education, one thing is clear: an effective lesson is like a piece of music. The rhythm sets the pace for cognitive activity, the structure provides a stable framework, and variations create movement to prevent overload. Focus is therefore not to be expected or demanded, but rather something to be elicited.
In a classroom bombarded with digital stimuli, the challenge is no longer about providing more information, but about orchestrating its delivery. A teaching sequence that is too linear will quickly lose students, and one that is too erratic will confuse them. Somewhere in between lies a zone of optimal effectiveness, where alternating between predictability and surprise can sustain productive cognitive engagement.
Teachers who succeed in capturing attention for long periods rarely do so because of the quantity of content they deliver. They do so through their delivery: a gradual build-up, a change of tempo, thought-provoking breaks, the return to a familiar theme. This approach is essential for supporting students whose focus is fragmented but whose capacity for engagement remains unaffected when conditions are optimal.
And, at a time when AI can automatically generate part of a presentation or even create support material in seconds, pedagogical value lies elsewhere: in structure, dynamism, and presence. Teaching in the same way as composing means designing an environment where information becomes intelligible because it is orchestrated, and where focus emerges because it is guided.
AI that assists rather than submerges
Viewed in this light, AI cannot be considered as just another source of information. It is only of value if it also plays a role in orchestration. Effective AI is AI that adapts: it slows down when students are struggling, rephrases when they are losing track, and introduces variations when their focus is waning. It should not replace pedagogical practices or innovation, nor overload learners, but rather improve the learning experience.
The challenge is not to produce more, but to support cognitive focus. In an environment where everyone is constantly distracted, the most valuable AI is not the kind that does students' work for them, but the kind that helps them stay engaged during class. It does not add anything, it makes things possible.
Article by Miia Chabot, Associate Dean of Pedagogy & Learning Innovation at Excelia Business School and Anne Chabot-Bucchi, percussionist and performing artist.