Bridging Pedagogy–Technology Gaps
Helping teachers and learners navigate the age of intelligent machines
Bridging Pedagogy–Technology Gaps
The world is changing fast. Intelligent digital systems are no longer a distant promise — they are here, reshaping how we work, learn, and connect. Teachers and learners face a flood of new tools, each claiming to revolutionise education.
But the real question isn’t what can be built? — it’s what truly helps us learn better?
Who I Am
I spent 20 years in the music industry as a musician, producer, and music director. For a decade, I toured the world — from Asia to the Americas to every corner of Europe. Along the way, I learned that what matters most is connecting with people and sharing knowledge and ideas.
Today, as an educator with a deep interest in technology, I work at the intersection of pedagogy and digital innovation. I’m not an engineer — and I don’t need to be — but I understand enough to make sense of the technology, translate it into practical teaching strategies, and pass that knowledge on.
Why This Matters Now
Sometimes the world feels like it’s falling apart. The pace of change can be overwhelming. The rise of large language models (LLMs) and other intelligent systems forces us to rethink what it means to learn, to teach, and to be human.
We need to learn how to collaborate with machines — while protecting what makes us human: empathy, creativity, critical thinking, and self-awareness.
My Approach
You don’t have to be a seasoned engineer to understand how an LLM works. But it’s worth going beyond the cliché that they’re “just stochastic parrots.”
Teachers can act as mediators between engineers and the public — raising awareness in educational circles, fostering healthy scepticism, and ensuring technology serves pedagogy, not the other way around.
In language learning, for example, a pronunciation training tool should go beyond marking responses as good or bad. It should offer nuanced feedback, encourage self-reflection, and be part of a meaningful learning process.
Why Keep Learning?
With AI able to translate any modern or ancient language — and perhaps even learn to “speak whale or dog” — it’s tempting to ask: Why bother learning languages at all?
- Cognitive benefits – Improves memory, concentration, and can even delay cognitive decline.
- Cultural discovery – Opens doors to understanding other cultures, fostering tolerance and empathy.
- Practical advantages – Makes travel richer, builds connections, and creates professional opportunities.
And above all, it brings joy and a deep sense of achievement.
Bio & Current Projects
PhD thesis in Phonetics and Pedagogy — Researching Computer-Assisted Pronunciation Training (CAPT) for French learners of Spanish, with a focus on AI‑assisted feedback that supports meaningful language learning.
Modern languages teacher — Teaching English and Spanish at the secondary level, integrating technology into pedagogy in practical, student‑centred ways.
Analog Memory — An exploration of obsolete technology, magnetic tape, and analog video feedback. The project embraces imperfection, entropy, and the idea of “strange loops” — where repetition never produces the same result, mirroring the shifting nature of human memory.