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Category: AI in Education

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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Teacher candidate viewing a holographic Smart Study Dashboard with performance charts and AI coaching interface floating above a laptop screen
AI in Education

From Scores to Insight: A Dashboard for Program Leaders

Managing a cohort of teacher candidates without real-time visibility means problems surface too late. The Smart Dashboard at Enabling Learning changes that. It monitors student practice across every course and AI evaluation, flags at-risk candidates automatically, and notifies group leaders before a student falls too far behind. Veronica, the platform’s AI tutor, answers cohort-level questions directly: who is struggling, what patterns are emerging, and where to focus instruction this week. Built by an educator who has lived the problem, it gives program leaders better information, sooner.

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Illustration of a teacher completing the free ELPS Online Helper course on a laptop, with a progress bar, AI tutor, and a glowing verified digital credential badge
AI in Education

Learn the ELPS and Earn a Free Digital Credential

If you work with emergent bilingual students in Texas, the ELPS are part of your daily work. But for years, quality training on the standards has been scattered across PDFs, flip books, and workshops that happen at the wrong time. The ELPS Online Helper is a free, AI-powered platform that helps teachers navigate the English Language Proficiency Standards and connect them to real classroom practice. Complete the 12-module course, pass the capstone evaluation, and earn a verified digital credential worth one CPE hour. No cost, no paywall, no catch.

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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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Presentation slide showing AI Tutors as Vygotskian Mentors, scenario-based learning, adaptive feedback, and target-language development for the Texas State University AI Symposium 2026, co-presented by Luis Hernandez and Dr. Uvaldina Janecek
AI in Education

Always There, Always Aware, Always Connected to Your Real Mentor

How AI tutors can join the team, not replace it. This week, Dr. Uvaldina Janecek and I are co-presenting at the Texas State University AI and Teaching/Learning Symposium. Our session explores how AI tutors, designed as Vygotskian mentors, can provide the kind of guided support that the best human mentors offer: context-aware, knowledge-grounded, and available whenever learners need it. Here is the story behind the research, the systems we built, and what we will be sharing.

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