Neurodiversity-Aware Platform for Education (NAPE)
Neurodiversity-Aware Platform for Education (NAPE) aims to enhance comprehension and retention by tailoring educational materials to diverse cognitive styles, making learning more accessible to all.
Background
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Challenge: Educational materials often assume uniform cognitive approaches, creating barriers for neurodiverse learners. Attention difficulties, slower processing speeds, or sequencing challenges are prevalent among learners with ADHD, dyslexia, and autism.
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Our Solution: Customizable educational materials designed to improve comprehension and retention across diverse learners.
Segmentation Algorithm
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We developed a unique segmentation algorithm which inserts a 4-second pause in the video whenever a step occurs in pre-recorded instructional material for block-based programming (e.g., clicking on a block, dragging an item, or explaining a concept within Scratch).
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These pauses allow learners to process each step, reducing cognitive load and enhancing task performance.
ICER Paper
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In summer 2024, we conducted a study which examined ADHD learners’ interaction with segmented vs. traditional instructional videos.
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Performance metrics included errors, hesitations, and task completion time.
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Key Findings: Segmented learning improves comprehension and reduces cognitive overload among ADHD participants.
AI Development
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NAPE uses AI to adapt educational content based on user behavior and learning preferences.
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AI Capabilities: This AI algorithm analyzes engagement patterns to offer adaptive feedback tailored to each learner’s strengths and needs.
Want to Learn More?
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Questions: Email vpim [at] cmu [dot] edu with interest/questions, or if you’d like to read our paper.
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We are looking for CMU students with AI development experience for fall 2025 or later.
People
Chris Lee
Emily Yu
