From Bangkok to the World: Why Non-Native Researchers Need Both Language Skills and Fair AI Tools
Talented researchers across Asia, Africa, and Latin America routinely have strong ideas and rigorous work, and still struggle to be heard — not because the science is weak, but because the English isn't what a reviewer expects. That gap is what this platform exists to close.
I teach and research at the Sirindhorn School of Prosthetics and Orthotics, part of Mahidol University's Faculty of Medicine in Bangkok. Most of my published work is nowhere near language learning — gait biomechanics, 3D-printed prosthetic sockets, explainable machine learning applied to rehabilitation. But there's a thread that runs through almost every paper I've supervised, reviewed, or written: talented researchers across Asia, Africa, and Latin America routinely have strong ideas and rigorous work, and still struggle to get either heard in a classroom or published in a journal — not because the science is weak, but because the English isn't what a reviewer or examiner expects.
That gap is what MyLevelUp English exists to close. And it's also, not coincidentally, the subject of research I've done directly.
The research behind the platform
I recently co-authored a chapter on responsible AI adoption in resource-constrained higher education (Murtaza, Wahid, Ali, Nouman, & Rustam, 2027, IGI Global Scientific Publishing), looking at how universities across the Global South navigate AI adoption while trying to keep assessment fair. Writing that chapter crystallized something I'd been circling for years as a lecturer: AI in education isn't inherently equalizing or inherently unfair. It becomes one or the other depending entirely on how it's built.
A few conclusions from that research shaped decisions I made building this platform directly:
Resource constraints are the norm, not the exception, for the audience I care about. Students and researchers across ASEAN often rely on smartphones as their primary — sometimes only — device, with inconsistent bandwidth. A platform that assumes otherwise quietly excludes most of the people it claims to serve.
Black-box scoring erodes trust; explainable feedback builds it. A tool that hands you a number with no reasoning teaches you to be anxious about your English. A tool that explains why — missing transition words, unclear referencing, a specific grammar pattern — teaches you to actually improve.
AI should assist judgment, not replace it. The research on academic integrity and bias mitigation converges on the same point from different directions: the best outcomes happen when AI handles the fast, repetitive layer of feedback, and a human — a teacher, a mentor, or the learner's own critical reading — has the final say, especially in anything high-stakes.
Why free core access, specifically
None of this is abstract for me. I've supervised graduate students whose research was genuinely good and whose first drafts got rejected on language grounds before a reviewer ever engaged with the ideas. I've sat on the other side too, reviewing manuscripts where I could see a strong methodology buried under sentences that needed real editing help the author simply didn't have access to.
That's the specific reason MyLevelUp English keeps essential tools free, with no credit card required to start. A paywall in front of basic grammar and writing feedback doesn't just cost money — for a student in a resource-constrained setting, it can be the difference between improving and not trying at all. Sustainable access, not a growth hack behind a free trial, was the design goal from day one.
What this means in practice
If you're a student prepping for IELTS or TOEFL, a graduate researcher polishing an abstract, or a teacher trying to help a class with wildly different starting points in English — the tools on this platform are built around the same principle the research points to: AI as a tutor that shows its reasoning, not a gatekeeper that hands down a verdict.
The English-language gap between good research and the world seeing it is real, and it's not going away on its own. But it's also not intractable. Closing it responsibly — with tools that are accessible, transparent, and genuinely built for the learners who need them most — is the whole premise of this platform, and it's work I intend to keep doing, in the classroom and in the code.
About the author: Dr. Muhammad Nouman is a lecturer and researcher at the Sirindhorn School of Prosthetics and Orthotics, Faculty of Medicine Siriraj Hospital, Mahidol University, and founder of MyLevelUp English. This article draws on his co-authored chapter, "Responsible AI Adoption in Resource-Constrained Higher Education by Empowering Educators and Ensuring Fair Assessment," published by IGI Global Scientific Publishing (2027).