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
-
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.
-
Our Solution: Customizable educational materials designed to improve comprehension and retention across diverse learners.
Segmentation Algorithm
-
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).
-
These pauses allow learners to process each step, reducing cognitive load and enhancing task performance.
ICER Paper
-
In summer 2024, we conducted a study which examined ADHD learners’ interaction with segmented vs. traditional instructional videos.
-
Performance metrics included errors, hesitations, and task completion time.
-
Key Findings: Segmented learning improves comprehension and reduces cognitive overload among ADHD participants.
AI Development
-
NAPE uses AI to adapt educational content based on user behavior and learning preferences.
-
AI Capabilities: This AI algorithm analyzes engagement patterns to offer adaptive feedback tailored to each learner’s strengths and needs.
Interested?
-
We are recruiting undergraduates at CMU to join this project in Spring 2025 (units available).
-
How to Apply: Email vpim [at] cmu [dot] edu with interest & questions. You do not need any research experience to join!
People
Baramee (Bing) Bhakdibhumi
Chris Lee
