AcumeIQ is the first teaching platform built on decades of cognitive science, educational psychology, and AI research — delivering personalized, standards-aligned instruction that actually works.
80%
Reduction in Lesson Planning Time
100%
Standards-Aligned Content
5x
Faster Grading & Feedback
K-12
All Grade Levels Supported
Everything teachers and students need in one place — no external tools, no extra accounts, no complexity.
Generate comprehensive weekly lesson plans aligned to your state standards in minutes. Each plan includes bellringers, TWIRL activities, assessments, and differentiation strategies — all set in real-world contexts students care about.
AI grades student work instantly with detailed, constructive feedback tied to rubric criteria. Teachers save hours every week while students get the immediate, specific feedback research shows they need to improve.
Track every student's proficiency across every standard in real-time. The gradebook shows mastery trends, identifies struggling students early, and ensures no standard gets left behind with our LRU curriculum rotation algorithm.
AI-curated YouTube videos embedded directly into lessons with watch tracking. Students get carefully selected multimedia content that reinforces the day's learning objectives without ever leaving the platform.
Auto-generated assessments with multiple question types — multiple choice, true/false, fill-in-the-blank, drag-and-drop, matching, and short answer. Every question is aligned to the lesson's standards and difficulty level.
Manage classes, enroll students via class codes or invite links, track engagement, and communicate through built-in messaging. A complete digital classroom with gamification features like XP, levels, and achievements.
Every feature in AcumeIQ is grounded in peer-reviewed educational research. We don't just use AI for convenience — we use it to implement what cognitive science has proven works.
Sweller's Cognitive Load Theory (1988) shows that working memory has limited capacity. Our AI structures lessons to manage intrinsic, extraneous, and germane cognitive load — breaking complex standards into scaffolded daily progressions so students build understanding without overwhelm.
Applied in: Lesson scaffolding, daily progression design, vocabulary introduction pacing
Black & Wiliam's landmark research (1998) proved that formative assessment with timely, specific feedback produces the largest learning gains of any educational intervention. Our AI grading delivers detailed rubric-aligned feedback within seconds of submission — not days later.
Applied in: Auto-grading, per-question feedback, rubric criteria analysis, revision suggestions
Marzano's research on standards-based grading demonstrates that tracking proficiency by standard — not by assignment average — gives the most accurate picture of student learning. Our mastery tracking system monitors each student's proficiency across every standard with trend analysis and early intervention flags.
Applied in: Standards mastery dashboard, proficiency tracking, LRU curriculum rotation
Ladson-Billings (1995) and Gay (2000) established that connecting academic content to students' cultural contexts dramatically increases engagement and achievement. Our AI frames every lesson through real-world contexts students actually care about — gaming, music, sports, entrepreneurship, and social justice.
Applied in: Engagement context selection, bellringer design, real-world TWIRL activities
Roediger & Karpicke (2006) showed that spaced retrieval practice is far superior to massed study. Our LRU (Least Recently Used) algorithm automatically rotates through curriculum standards, ensuring students revisit concepts at optimal intervals rather than cramming everything into one unit and forgetting it.
Applied in: LRU standard rotation, spiral curriculum design, auto-suggested lesson topics
Deci & Ryan's Self-Determination Theory (1985) identifies autonomy, competence, and relatedness as core intrinsic motivators. Our XP system, achievement badges, and level progression tap into competence motivation, while student choice in how they engage with content supports autonomy.
Applied in: XP rewards, level progression, achievement system, engagement tracking
Mayer's Cognitive Theory of Multimedia Learning (2001) demonstrates that students learn better from words and pictures together than from words alone. Our platform embeds AI-curated video content directly into lessons, combining visual, auditory, and text-based instruction for each learning objective.
Applied in: Embedded YouTube videos, multimedia lesson content, visual vocabulary support
Tomlinson's research on differentiation (2001) shows that students learn best when instruction meets them where they are. Every AI-generated lesson includes specific intervention strategies for struggling learners and acceleration activities for advanced students — built in, not bolted on.
Applied in: Lesson differentiation strategies, RtI support, multi-difficulty worksheets
From setup to student mastery in four simple steps.
Add your subject, grade level, and state standards. Invite students with a class code.
AI creates full weekly lesson plans with activities, videos, and assessments aligned to your standards.
Students access lessons, watch videos, complete interactive worksheets, and submit practice — all in one place.
AI grades instantly. You see real-time mastery data by standard, identify gaps, and adjust instruction.
Join educators who are spending less time planning and grading — and more time doing what they love: teaching.
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