During our recent SpeedAdmin “Future Trends in Technology” webinar, we explored how rapidly new technologies are beginning to influence music and arts education.
From AI tools and adaptive learning to RFID-tagged instruments and virtual performance environments.
The pace of change is accelerating. According to “Tech Trends 2026” by Deloitte Insights the time it takes for technologies to reach mass adoption has significantly shortened:
What once took decades can now happen in months.
As our guest speaker and developer in house Niklas noted during the webinar, technologies rarely emerge in isolation - they build on top of each other. AI, for example, depends on decades of computing and internet infrastructure. Even so, the speed at which new technologies spread today is unprecedented, as is the scale and accessibility that makes it easy for everyone to use.
Language models such as ChatGPT, Claude, Gemini, Copilot and the European alternative Le Chat can summarise information, draft texts or answer questions quickly.
Research tools like Perplexity provide AI answers supported by sources.
Tools such as NotebookLM can analyse large documents and extract key insights in seconds.
Creative platforms like Gamma, Miro and Adobe Express help turn ideas into presentations or visual concepts much faster than traditional workflows. With MidJourney and NanoBanan you can create some very decent visuals.
Voice technologies such as ElevenLabs are opening new possibilities for language learning and performing arts.
We also touched on a new generation of development tools sometimes referred to as “vibe coding” - platforms like Lovable, Replit and Cursor that allow non tech people to prototype digital ideas quickly, even without deep programming knowledge.
All these tools lower the barrier from idea to product and make it easier for novices to develop technical fluency.
Think of it like conducting an orchestra. Technology may provide a growing number of instruments - AI tools, automation, learning platforms - but someone still has to interpret the score and lead the performance. In education, that role belongs to teachers and school leaders.
So what does this actually mean for music and art schools?
For a long time, innovation in education required large budgets and dedicated IT teams. That barrier has largely disappeared.
Today, many powerful tools are integrated directly into everyday software - email systems, browsers, calendars and collaboration platforms.
This means innovation increasingly happens through small experiments.
A school administrator summarising long reports with AI.
A teacher testing a gamified learning app.
A school leader using AI tools to prepare presentations or analyse data.
Individually these changes may seem small, but together they can significantly reduce administrative workload.
A useful principle discussed during the webinar was the 80/20 rule: AI can often handle around eighty percent of routine tasks - summarising, structuring and drafting - while humans provide the final twenty percent: judgement, context, quality and not least critical thinking, emotional inteligence and most importantly decision making.
Much of the conversation around AI focuses on what machines can do. And for tasks that require a lot of big data sets, this could not be better. AI can analyse data and identify patterns, but it cannot sense when a student is losing confidence. It cannot read the atmosphere of an ensemble rehearsal, and it cannot replace artistic judgement.
These abilities remain fundamentally human - and they would never be able to be replaced by any mathemtaical calulation nor advanced algorythm.
Learning in music education is already a mix of traditional and digital methods.
Students practise with apps that track tempo.
Teachers combine physical and digital materials.
Online resources support in-person lessons.
What is changing now is the degree of integration between these tools.
Gamified learning applications, for example, have shown measurable impact on student engagement. Frequent positive feedback - often referred to as micro-affirmations - can help maintain motivation, particularly among younger learners.
Virtual reality environments may allow students to rehearse performing before facing a real audience. Voice technologies are opening new possibilities for vocal training and multilingual classrooms.
None of these replace teaching. But they can expand the learning environment and make it more engaging for the next generation of students.
To make this work, schools need an infrastructure that connects these tools — linking administration, communication, learning platforms and data into a coherent ecosystem rather than a collection of isolated systems.
This is exactly the role platforms like SpeedAdmin Play! aim to support: providing a central hub where schools can manage administration while remaining open to new technologies and future developments.
During the webinar we also looked at practical examples of how technology can support music education.
One strong example from Niklas was his bachelor thesis in software engineering at the University of Southern Denmark that he writes with SpeedAdmin. The project focuses on a challenge many large music services face: instrument inventory management.
Schools and music services often manage thousands of instruments across multiple locations. Keeping track of them can be surprisingly difficult.
Niklas’ project explores how RFID tagging which is (Radio Frequency Identification) could improve this process. It uses small electronic tags that emit radio signals, allowing instruments to be detected by a scanner without needing to see them directly.
Unlike barcodes or QR codes, RFID tags can be detected from several meters away. Entire storage areas can be scanned within seconds, and missing instruments can be identified quickly.
But, technology can also support learning directly in the classroom.
A study published in the International Journal of Music Education found that sixth-grade students who used mobile music learning apps such as NoteWorks, Rhythm Cat, GarageBand and Kids Piano over an eight-week period achieved significantly higher results in basic music theory compared to students taught through traditional methods alone. Students also reported higher motivation, greater willingness to practise outside the classroom and stronger participation in lessons (Uludag & Satir, 2025).
These examples illustrate an important point: technology in music education does not need to be revolutionary to be valuable. Often the greatest impact comes from the easy and very practical tools.
The number of new AI tools appearing every month can feel overwhelming. No school leader can realistically stay on top of all of them — and that’s perfectly fine.
What matters is being curious.
Experiment.
Observe how students interact with technology.
Ask practical questions about where tools might reduce administrative work or support teaching.
Technology will continue to evolve - and likely not in incremental steps. The pace of change will only accelerate.
Yet the purpose of music and arts education remains the same: helping students grow through creativity and expression.
New tools may add more instruments to the stage.
But you, as a school leader, are still the conductor who brings it all together.