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Tag: AI in Teacher Education

Minimalist illustration of a white apple on a terracotta background with the title Claude for Teachers, Anthropic's Free Program for Educators
AI in Education

Claude for Teachers: Anthropic’s Free Program for Educators

On July 14, 2026, Anthropic announced Claude for Teachers, a program that gives verified K-12 educators in the United States a full year of free access to premium Claude capabilities. It includes a teaching skills library, lesson planning grounded in evidence-based curricula, class data analysis, and integrations with nine school tools. In this post, we break down what teachers actually get, the privacy commitments behind the program, and the honest caveats, including US-only eligibility. We also added a complete Claude for Teachers topic to our free course, Boosting Productivity with AI for Teachers.

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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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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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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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Illustration of a teacher candidate studying with an AI-powered dashboard showing certification exam progress, audio waveforms, and digital credential badges
AI in Education

One Subscription for All Your Certifications in Texas

There are good certification exam preparation platforms out there, and teacher candidates have options. What Enabling Learning offers is something different: an AI-powered study experience where every lesson comes with a personal tutor, every practice exam feeds a dashboard that knows your weaknesses, and the entire system adapts to how you learn. Today, we are making all of it available through one subscription. This post introduces what is included, how AI is woven into every part of the experience, and what comes next.

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Woman interacting with a humanoid robot in a modern educational setting, illustrating the use of AI tools in bilingual education. Text overlay reads, “Mastering AI Core Tools for Bilingual Education - EnablingLearning.com.”
AI in Education

Mastering AI Core Tools for Bilingual Education

Particularly for bilingual and ESL educators. Tools like OpenAI’s ChatGPT, Anthropic’s Claude, and Google’s Gemini hold incredible promise, not just as pre-built solutions but as customizable systems tailored to meet the diverse needs of students. In this post, I’ll share insights into why mastering the core functionalities of these AI tools (like APIs, prompt engineering, and fine-tuning) can empower teachers to create innovative, engaging learning environments. Plus, I’ll highlight a free AI course for educators and invite you to my upcoming session at NABE 2025 to dive deeper into these strategies with a downloadable PDF.

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