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Chalkboard reading Language Learning beside German, English, and Spanish dictionaries, for the Enabling Learning post on building AI language-learning tutors.
AI in Education

A Good LLM Doesn’t Make a Good Teacher

When people learn that our speaking apps run on advanced AI, they ask which model we use. It is the least interesting part of the story. Choosing a capable model is the easy part; any developer can connect to one. What decides whether a learner actually improves is whether the system understands how people learn to speak a second language. That knowledge does not come from the model. It comes from us, from years in bilingual classrooms, instructional design, and second language acquisition research. This post is about how we build AI tutors as educators, not just engineers.

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Financial-compliance imagery with the title Praxitude AI: A Powerful Tutor, Not a Replacement
AI in Education

Praxitude AI: A Powerful Tutor, Not a Replacement

We have built AI tutors for years; Verónica is one you may know. All of that now lives inside Praxitude AI, our platform for scenario-based learning that measures both language and domain knowledge, and is modular enough to adapt to almost any training need. Whatever the course, Praxi, our AI tutor, is embedded throughout. This is the story of one of the first courses we built on it, with a veteran anti-money-laundering compliance expert in Mexico. The tutor grew so capable that the expert suggested a disclaimer, not to limit it, but to make clear it is a learning tool, not one for doing a certified professional’s work. Deciding what a tool is for, not just what it can do, is what earns trust.

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Featured image for the blog post Why We Built Praxitude AI, an AI brain circuit graphic on a dark blue network background.
AI in Education

Why We Built Praxitude AI

For about four years, we have been building AI directly into our online courses, starting with Verónica, a full tutoring system rather than a chatbot. We have helped pre-service and current teachers pass the BTLPT through partnerships with universities and Texas school districts. Then Texas announced it was consolidating the Bilingual Education Supplemental and the BTLPT into the new TExES 165 exam. That change, and the scenario-based practice it demanded, pushed us to build Praxitude AI, a platform that measures what professionals can actually do in realistic situations, in their target language.

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A young student speaking out loud into a smartphone showing a live voice practice app with the Veronica AI tutor, warm afternoon light
AI in Education

Studying Is Not the Same as Speaking

I have watched it happen more times than I can count. A candidate who knows the material cold sits down for the speaking section and freezes. Studying is not the same as speaking. For two years our online courses have given AI feedback on recorded speaking and writing, and that is still there. But feedback on a recording is not a conversation. Our two new apps add the part a course never could: a live, two-way voice conversation with AI characters who push back, scored on a seven-trait rubric, with Verónica remembering every session. Practice is what closes the gap.

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A young Latino student studying for a college placement exam at a laptop showing the multilingual Veronica AI tutor chat panel
AI in Education

Lowering the Filter and Making It Comprehensible, One Student at a Time

One afternoon while volunteering with the Bilingual Homework Hotline, I sat with a high school student newly arrived from a Spanish-speaking country. His homework was in English, and he was visibly stressed. We worked through it together in Spanish, and by the end of the session he thanked me many times, saying he finally had an idea of how to do his homework. That moment brought Krashen’s hypotheses alive and shaped how we built Verónica, our multilingual AI tutor. Today we are launching two new apps: TSIA Prep for college placement and our High School Equivalency Exam Prep (GED® Test).

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Painted illustration of a thoughtful scholar with delicate calligraphic ribbons of multilingual glyphs flowing around her, evoking the multilingual foundation of modern AI.
AI in Education

Why Modern AI Was Built Multilingual From the Start, and What That Means for Language Learning

Multilingual capability is not a feature that frontier AI labs added on top of an English-only base. It is built into the foundation. Meta now translates 1,600 languages, Google DeepMind covers 400 in pretraining, OpenAI and Anthropic post strong cross-lingual scores, and a 2025 paper showed models can learn new vocabulary from a handful of examples. We walk through what this architecture means for second-language teaching, and how our model-agnostic approach lets us pick the right model for each task in BTLPT, TOEFL, LOTE, AI Language Labs, and Praxitude.

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