Meet Verónica, Your Virtual Tutor for Certification Prep

May 24, 2024
Luis Hernández

Category: EdTech, Professional Development

After over a year of rigorous beta testing, we are thrilled to announce that Verónica, our AI-powered virtual tutor, is now available to all our users! This revolutionary tool is integrated into all our online courses and professional development workshops, offering personalized support and guidance to all our users.

What is Verónica?

Verónica is an AI-powered virtual tutor designed to enhance bilingual and ESL education. Built on a large language model, Verónica has been meticulously trained using a wealth of professional knowledge from Enabling Learning’s resources, including books, workshops, and training materials. This foundation allows Verónica to provide accurate, context-aware responses that reflect best teaching practices and specialized language use in bilingual education.

The Science Behind Verónica

The development of Verónica leverages advanced AI techniques such as prompt engineering and embeddings. These methods ensure that Verónica can understand and generate human-like responses, making interactions with her both meaningful and productive.

Prompt Engineering: This technique involves crafting specific prompts that guide Verónica in generating useful and relevant responses. By fine-tuning these prompts, we ensure that Verónica’s advice is tailored to the unique needs of bilingual and ESL educators.

Embeddings: Embeddings are representations of words or phrases in a continuous vector space. This enables Verónica to grasp the context and subtle complexities of language, offering more precise and appropriate support. By using embeddings, Verónica can offer insights and feedback that are linguistically, academically, and culturally appropriate for bilingual education.

How We Trained Verónica

Training Verónica was a comprehensive process that involved using extensive datasets derived from our proprietary materials. These include:

Books and Guides: Resources such as “Conociendo el BTLPT y cómo prepararte para tener éxito” and “Navigating the Bilingual Education Supplemental” provided foundational knowledge.
Workshops: Interactive workshops that we have conducted over the years helped in training Verónica to understand real-world classroom scenarios and teacher-student interactions.
Professional Development Materials: Training resources used in our professional development programs were crucial in shaping Verónica’s ability to support teachers in their ongoing professional growth.

How You Can Interact with Verónica

Verónica is now an integral part of all our online courses and professional development workshops. Here’s how you can benefit from her expertise:

Real-Time Support: Verónica offers immediate, on-demand assistance, helping you navigate complex teaching scenarios and providing insights based on best practices.
Tailored Feedback: Whether you are preparing for certification exams or looking for strategies to support your bilingual students, Verónica offers personalized feedback and actionable strategies.
Innovative Practice Scenarios: Verónica uses advanced AI to create practice scenarios that are relevant to your teaching context, helping you to better prepare for real-life classroom challenges.

We are excited to bring Verónica to our community and look forward to seeing how she enhances your teaching and professional development journey. For more detailed information on the development and capabilities of Verónica, you can read our in-depth articles here.

Verónica Speaks Twelve Languages. The Hard Part Was the Rules.

Verónica, the AI tutor inside our courses and apps, now responds in twelve languages. Arabic, Telugu, Tamil, and Korean joined because districts and teacher preparation faculty kept describing the families they serve. Adding the languages was never the hard part, since these models were multilingual from the start. The hard part was the rules: which characters even count as letters, whether the page or the person gets to decide, and when a tutor should hold the target language instead of following a student into English. Here is what broke, what we changed, and why it matters.

A Certificate No One Can Verify. It Is Just a File.

Most professional certificates share one weakness: confirming they are real means contacting the issuer and waiting, so in practice it rarely happens. A PDF can be edited in a browser. A paper certificate proves only that someone owned a printer. This post makes the case for digital credentials for both learners and institutions, looks at what the 2026 hiring research actually shows, explains why course completion is the wrong trigger for issuing one, and describes transparently how our scored capstone gates work, why we chose the Proof of Knowledge platform, and what we would tell any institution starting from zero.

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.

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

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.