Project Name

Learning
Synapps

Abstract Context

An AI-supported learning system transforming text-based topics into interactivee concept networks.

System Interface Visualization

Overview

Learning Synapps is an AI-supported learning system that enables learners to visualize relationships and build their own knowledge maps.

Recursive Expansion

Implemented context-aware explanations to support sensemaking beyond linear reading and surface-level definitions.

Visual Sensemaking

Moving beyond static text to dynamic, manipulatable knowledge structures that adapt to the learner's inquiry.

01 — INTERFACE

Context-Aware Interface

The interface adapts to show relevant nodes based on the user's current reading path, reducing visual clutter.

02 — INTERACTION

Knowledge Mapping

Users can pin (right click), bookmark (drag the node into the resource library in the bottom right corner), and connect nodes to form their own mental models, externalizing their understanding.

Applied Principles

Integrating learning sciences to enhance cognitive processing.

Scaffolding

Applied principles of scaffolding to gradually increase complexity as the learner demonstrates mastery.

Learner Control

Empowered users through filtering, pinning, and spatial reorganization features.

Cognitive Load

Managed cognitive load through bookmarking features and clean, focused visual hierarchy.