Knowledge Space Framework: An API for representation, persistence and visualization of knowledge spaces
Syed Nasar

TL;DR
This paper introduces a graph-based framework with a standardized API to improve the management, representation, and visualization of knowledge spaces for adaptive learning systems, addressing key tooling challenges.
Contribution
It presents a novel API and framework for representing, persisting, and visualizing knowledge spaces to facilitate integration with external adaptive learning systems.
Findings
Developed a graph-based knowledge management framework
Designed a standardized API for external ALS integration
Addressed tooling challenges in knowledge space management
Abstract
This paper will discuss the challenges in tooling around the management and utilization of knowledge space structures, via standardized APIs for external Adaptive Learning Systems (ALS) to consume. It then describes how these challenges are addressed in a graph based knowledge management framework application designed for external ALSs.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning
