Colleague AI

3 students walk into a sixth-grade science class: one speaks Spanish, another Somali, and the third Mandarin, and none speak that much English.

None of them were on yesterday's roster either, and the lesson starts in 18 minutes!

That's not a hypothetical for most teachers with multilingual learners.

In our latest post, we walk through how to use Colleague AI to build a multilingual diagnostic in under five minutes, at three WIDA proficiency levels (entering, emerging, developing), across all three languages, then turned the results into same-day differentiated materials: bilingual vocabulary charts, translated reading previews, sentence frames, and an exit ticket students could answer in English, their home language, or both.

Colleague AI's built-in AI tutor, which supports 50+ languages, gives the students a way to ask questions in their own language while the teacher could see exactly where each one got stuck.

Every student worked toward the same food-web objective. They just got there on different paths, on day one, with zero lead time.

Here's the how to: https://www.colleague.ai/how-to-use-ai-to-create-lessons-for-mll-students/

Diagnostic in 5 min > results > differentiated materials in 5 min > successful class.

The pacing guide says where students should be by week one, but it doesn't say where they actually are. That gap is why building a diagnostic is one of the most common requests we see from teachers in the first two weeks of school.

We put together a guide on how to use AI to create a diagnostic assessment: prompt with a grade and subject, review what's generated, edit anything that doesn't fit your class, then generate the answer key and rubric (partial-credit guidance included) and export. Five steps, standards-aligned, differentiated by difficulty level — instead of an evening at the copier.

Read the full walkthrough here: https://www.colleague.ai/how-to-use-ai-to-create-a-diagnostic-assessment/

How to Use AI to Create a Diagnostic Assessment Our step-by-step guide on how to use AI to create a diagnostic assessment - particularly useful in the first weeks or school or when new students appear!

Today we're announcing a growing national partnership. Colleague AI is teaming up with AmplifyLearn.AI at the University of Washington College of Education, the University of Tennessee at Knoxville, , the Minnesota Generative AI Alliance for Education, school districts, and education service centers across the country on an NSF-funded initiative to train educators nationwide in AI competency, tool proficiency, pedagogy, and ethics.

The goal: 240+ training sessions reaching 4,800 educators, with a train-the-trainer model built to sustain the work inside schools and districts long after the sessions end.

The work continues under National Science Foundation award #2405110: https://www.einpresswire.com/article/932332742/colleague-ai-university-of-washington-partner-with-aiedu-and-school-districts-on-nsf-funded-educator-ai-initiative

Districts and ESC interested in joining should reach out ASAP: https://www.colleague.ai/ai-for-schools/our-partners-grants/ -form.

Colleague AI, University of Washington Partner With AiEDU and School Districts on NSF-funded Educator AI Initiative Collaboration Marks National Effort to Lead Educator AI Training in AI Competency, Tool Proficiency, Pedagogy, and Ethics

Why do we spend so much time on R&D and co-designing with teachers, school leaders, district leaders, and even students?

Because it affects what you build, your design, and even your technical architecture - and the result is you get a much better product!

A study was recently released with this exact conclusion:
"We conclude with recommendations for responsible AIED adoption in K-12 settings, emphasizing that AIED tools, to be embraced and well utilized by educators, must center their needs, concerns, and voices throughout the design process, not as a final validation step or one-time consultation."

SO MANY edtech companies ask teachers and prospective users to do a final validation, or "try our product and we'll adjust it afterwards." That simply does not work.

Research paper here: https://library.iated.org/view/FREEMAN2026TEA

Day 2 was a blast out in St. Louis!

Great discussions and insights on how AI is and can be used in K-12.

Today and tomorrow we're at the Educator AI Summit in St. Louis, Missouri, hosted by Hancock School District.

Stop by our booth and say hello to Pete! He'll also be speaking at the conference.

Did you know that Colleague AI has a tool specifically to help teachers support multi-language learners?

Choose the option "Supporting multi-lingual learners" on your dashboard and start sharing with our AI assistant Claire what you need.

This, combined with our AI Tutor for students that's available and speaks 60+ languages, means teachers have a way to quickly and effectively support, instruct, and teach ALL students in their classroom, even on Day 1!

We're hiring, this time in customer success!

If you are or know an experienced EdTech customer support professional interested in joining our Education Success team as an Education Success Manager, apply today!

Most AI/SaaS/PaaS companies consider this a customer success role, but to succeed in this role, you also need to understand K-12.

Check out the job description and apply today:

Education Success Manager - Colleague.ai Title and seniority (Education Success Manager or Senior Regional Education Success Manager) will be determined based on the candidate's experience and