By Lidia Fabián Acevedo and Tania Mireles Amador
In a high school classroom, students listen to what sounds like their own voice—but it is not quite theirs. It is an AI-generated version.
At first, what surprises them is how realistic it sounds. Soon, however, something more meaningful happens. They begin noticing elements they had previously overlooked: intonation, pauses, rhythm, and emotion.
For the first time, they are listening not only to what they say but how they say it. That experience inspired a simple yet deeply human question: Can intentional communication be taught in the age of artificial intelligence?
In many educational settings, speaking is treated as a spontaneous skill. Yet communicating with intention—consciously conveying ideas, emotions, and purpose—is a complex ability that is rarely taught explicitly.
Against this backdrop, artificial intelligence was explored not as an end in itself but as a tool for supporting that learning process.
Using an AI voice-generation platform, students at PrepaTec wrote scripts that were later converted into audio. Listening to AI-generated versions of their own words helped them recognize how intonation, pacing, and emotional expression shape every act of communication. At the same time, they discovered that producing natural-sounding AI speech depends on strong writing fundamentals, including punctuation, grammar, and sentence structure.
The goal was never to produce a flawless synthetic voice. Instead, the audio served as a mirror, helping students reflect on whether their intended message was truly coming across.
Between human and artificial
The study involved 147 high school students. Compared with peers who completed the same learning activities without AI, students who used the voice-generation tool showed meaningful differences.
They reported higher levels of motivation, as hearing an AI version of their own voice increased their engagement with the activity.
They also demonstrated stronger academic performance, with improvements of up to 12.7% on some assessment indicators. Evaluations showed gains in organizing ideas, modulating vocal delivery, and expressing emotions more effectively.
Perhaps the most significant finding, however, was qualitative. Students became more aware that effective communication depends not only on the message itself but also on the intention behind it.
One of the most revealing aspects of the experience was the relationship between voice and emotion. Rather than focusing solely on what they wanted to say, students reflected on how their messages would be perceived by listeners.
This prompted an important realization: communication is not simply about transmitting information, it is also about shaping how others experience that message.
In some cases, students noticed that AI could reproduce basic vocal patterns but struggled to convey complex emotions and subtle nuances.
That limitation became a valuable teaching opportunity, prompting discussions about what makes a voice authentically human. Rather than replacing human expression, the technology helped define its unique qualities.
The experience also raised broader ethical and pedagogical questions. To what extent should AI be used to create messages? What role should students play in technology-mediated communication?
Instead of encouraging the routine use of AI, classroom activities emphasized critical and intentional engagement. Students generated audio, analyzed their writing choices, questioned the results, and reflected on both the possibilities and the limitations of the technology.
In this context, AI became a catalyst for dialogue rather than a solution in itself.
The value of listening to ourselves
As more of our communication takes place through digital platforms, learning to speak with intention has become increasingly important.
Effective communication is not simply about saying something correctly; it is about understanding the impact of what we say.
When students begin listening to themselves more carefully, something changes. They become more aware of their emotions, refine their message, and strengthen their relationships with others. Communication shifts from an automatic act to one of reflection and care.
Artificial intelligence may not be able to teach us how to be human. But it can encourage us to pause, listen, and recognize that the way we speak shapes our relationships, our memories, and our well-being.
Reference
Fabián Acevedo, L., & Mireles Amador, T. P. (2026). Generación de audios con intención comunicativa en interacción con la inteligencia artificial. Ciencia Latina Revista Científica Multidisciplinar, 10(2), 616–641.
Authors
Lidia Fabián Acevedo. She has been a faculty member at PrepaTec, Tecnológico de Monterrey’s Mexico City campus, for more than two decades. She is an educator whose work focuses on literature, history, and education. She has explored the intersections of literature, culture, and teaching, and her research has appeared in academic and cultural publications.
Tania Mireles Amador. She teaches Spanish language and literature at PrepaTec, Tecnológico de Monterrey’s Sonora Norte campus. She is an educator whose interests include literature, ethics, feminism, and educational innovation. She has contributed to research and professional development projects on identity, feminism, migration, and political violence in the media.
