The only platform with differentiated instruction strategies built in
Colleague AI integrates tiered assignments, text scaffolding, UDL choice boards, multiple assessment methods, and rigor-level generation into your core workflow. No extra tools. No extra training. Just differentiation that actually works, backed by research with the University of Washington.
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Differentiation is essential—and now it's built in
Teachers know that students arrive with different reading levels, learning preferences, and paces. But creating multiple versions of the same lesson, assignment, or assessment takes hours. Most platforms treat differentiation as an afterthought. Colleague AI is different. Differentiation strategies are woven into the core platform—tiered assignments, text scaffolding, UDL choice boards, multiple assessments, and rigor-level generation are there by default, backed by research and ready to use.
Five specific tools, unlimited options
Design assignments that meet students at their level. Colleague AI generates multiple versions of the same task—one for students who need more scaffolding, one for grade-level learners, and one for students ready to go deeper. Same learning goal, three different entry points.
When a text is too complex, Colleague AI simplifies it without losing meaning. Pre-teach vocabulary, chunk paragraphs, add context clues, and provide glossaries—all automatically. Students access the same content at their reading level, staying engaged with grade-level material.
Universal Design for Learning means giving students options. Colleague AI creates choice boards that let students demonstrate learning in multiple ways—video, written reflection, presentation, infographic, discussion. More students engage because they work through their preferred modality.
One quiz doesn't measure all learners fairly. Colleague AI generates assessments in multiple formats—multiple choice, short answer, performance tasks, portfolios, and oral presentations. You gather richer evidence of what students actually know, not just what they can test on.
Blooming's taxonomy meets AI. Set a learning objective and Colleague AI generates tasks that span recall, comprehension, application, analysis, synthesis, and evaluation. Differentiate by cognitive demand, not just volume. Advanced learners get complex problems; beginning learners build confidence with foundational tasks.
Built in, not bolted on. Research-backed, not guesswork.
Colleague AI is built on evidence-based differentiation strategies, backed by research with the University of Washington and the AmplifyLearn.AI Research Center. These tools work together because they're designed for the reality of diverse classrooms. You don't choose between tiering and scaffolding—you use both. You don't pick one assessment method—you offer many. Colleague AI makes differentiation the default, not an extra step.
Saves Hours Per Week
Generating multiple versions of assignments, assessments, and materials takes minutes instead of hours. Teachers report 50% reduction in prep time for differentiated lessons.
Meets Every Learning Level
Tiering isn't one-off anymore. With built-in tools for scaffolding, choice, and rigor adjustment, every student has access to the same content at their level.
Backed by Research
Backed by research with the University of Washington and the AmplifyLearn.AI Research Center, led by Dr. Min Sun. Differentiation strategies matter—and Colleague AI helps you implement them.
Meet every student using differentiated instruction strategies.
Stop spending weekends creating multiple versions. Start meeting every student's learning level in your regular workflow. Colleague AI is the only platform with differentiated instruction strategies embedded from the ground up—research-backed, ready now.
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Create and Improve Assessments
Create assessments aligned to standards and generate rubrics in minutes.
Significantly Reduce Time on Grading
Use AI for grading, without removing human involvement. Improve feedback quality without sacrificing time.
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