Can an AI math co-teacher transform teaching and learning? Meeting the diverse needs of students in a special education setting requires a strategic, data-driven approach. With the right AI Math tools, educators can efficiently monitor student progress, pinpoint skill gaps, and adjust interventions in real time. EdTech tools shouldn’t just simplify instructional planning—they should empower teachers with insights that allow them to be more proactive in supporting students.
In my travels working with educators over the past two years, I often hear the same questions about artificial intelligence. Two of the biggest questions are, “How can AI support math instruction?” and “What tools are available for math teachers?” Educators frequently ask me about tools for teaching math and helping students succeed in the classroom. If you’ve been searching for an AI Math solution, too, then you’re in the right place.
Today on the blog, I’m excited to introduce EdLight’s AI math co-teacher and how it can support data-driven instruction to facilitate RTI (Response to Intervention) frameworks!
Practical Strategies for Using Student Data
Response to Intervention (RTI) frameworks help educators identify which students need extra support. As a teacher, you can gather information on student growth throughout the school week, using formative assessments to guide your instructional decisions. Without this structure, struggling students may go unnoticed for too long, making it harder to close learning gaps later on.
Once you have this formative assessment data, you can group students for targeted support and provide personalized interventions in small groups or one-on-one settings. These homogeneous groups (where students share similar needs) ensure every learner receives the support they need. But while personalized feedback is the goal, implementing it consistently can be a challenge. This is especially true when teachers are addressing multiple student needs, lesson planning, and administrative tasks.
Collecting, analyzing, and acting on student data takes time—and that’s where AI math platforms like EdLight come in. This AI math co-teacher works with you behind the scenes, making sure you can gather and use student data effectively without adding extra work to your plate. By providing instant, actionable insights, these tools help teachers make decisions on the spot. Instead of waiting until the end of the week to adjust instruction you can take action and support students right away.
AI Math Co-Teacher from EdLight
Although ChatGPT and Gemini have garnered lots of attention the past few years, artificial intelligence is much more than just a chatbot. For special education teachers balancing multiple student needs, analyzing math work in real time can feel impossible. EdLight simplifies this process by acting as an AI-powered math co-teacher. It helps you collect, review, and interpret student work instantly.
So how does EdLight work? With EdLight’s AI Math co-teacher, you can upload handwritten math work or scan student work using EdLight’s mobile app. I love how EdLight uses the work you’re already doing in your classroom (with paper and pencil) and helps you analyze that for intervention.
EdLight’s AI will review student work automatically based on the information and expectations you share, including standards. Instead of spending hours going through student responses, you’ll receive immediate feedback. EdLight’s platform identifies student needs and misconceptions, so you can adjust instruction on the spot. It’s your ticket to quickly making data-driven decisions in class.
Grab EdLight’s free RTI resources >>
EdLight doesn’t just highlight student misconceptions – it also suggests next steps for instruction, so teachers immediately know how to adjust their lessons. So if you’re new to supporting students with a particular math concept, are aren’t a content expert but offer support in a classroom, their suggestions can help you feel confident in the next steps for supporting students.
When a student struggles with a concept, the platform provides specific recommendations for differentiation. That could mean several things, from revisiting an earlier lesson, offering additional practice, or adjusting instructional pacing. These insights allow teachers to fine-tune their approach to meet students exactly where they are.
If you’re implementing an RTI framework, EdLight ensures that students receive timely support without the extra workload of manually reviewing a pile of assessments. With fewer administrative burdens, teachers can focus on what matters most—helping students grow in confidence and mastery.
Using AI Math Support in Special Education
When I first met with the EdLight team earlier this year, I was impressed by their commitment to making teachers’ lives easier while providing high-level support for students. Many educators I’ve spoken to share that math instruction can feel overwhelming, particularly when trying to meet the needs of students at different levels. Beyond instructional guidance, EdLight helps retain teachers by reducing burnout—giving educators the tools and insights they need to confidently teach math, even if they don’t consider themselves math experts.
EdLight’s real-time RTI support makes it easier to group students effectively, personalize learning pathways, and track progress toward IEP goals. It is designed specifically for special education teachers, coaches, and school leaders working with grades 3-8. With AI-powered recommendations, you can determine whether students need small group interventions, additional practice, or a review of foundational concepts.
EdLight’s AI Math Co-Teacher in Action
The team at EdLight has shared feedback from educators using their platform, and the results have been super promising. According to their case studies, students with learning differences in EdLight-supported classrooms perform on par with their general education peers. Surveys also suggest that teachers feel significantly more confident in using data to adjust instruction, thanks to EdLight’s insights.
Teachers who have integrated EdLight into their practice often say it reduces the stress of lesson planning and data analysis. Instead of spending late nights reviewing student work, they can rely on EdLight to provide instant insights and guide their next steps. This not only improves student learning outcomes but also makes instructional planning and teaching more manageable.
If you want to reducing teacher workloads and supporting teachers who are new to teaching math — or perhaps not math content experts but work with students in a supporting role — EdLight can help you make that happen. Sign up with EdLight today and transform your Special Education math instruction!
