Authors: Iryna Nikolayeva, Eric Cherel
Topic: Technologies for Open Education
Sector: Higher Education
UNESCO Area of Focus: Building capacity
Session Format: Presentation
AbstractOn any given subject, chances are that thousands of online learning resources already exist. But which ones are fit for a specific learner? How can she find the right one, on her exact area of interest, of the right complexity for her unique needs? Our project aims to provide a solution.
We designed a tool that leverages artificial and human intelligence to qualify semi-automatically any online resource. We link it to concepts based on the full list of Wikipedia articles, therefore covering a broad range of human knowledge. Using this ontology has powerful benefits, as Wikipedia covers millions of subjects in dozens of languages and evolve quickly as new concepts emerge, leveraging hundreds of thousands of contributors. Our system also does a rough evaluation of the complexity of the resources, assessed automatically through its lexical complexity.
This results in an annotated library of resources. This library can be shown on an interactive concept map, allowing the browsing to be fun, visual and organized. This map, along with its resources, can then be shared via a link, or with a given group or WeLearn users. After presenting the tool, we will make a live demo. WeLearn is open source, free to use, and already available online.
EdTech, artificial intelligence, collective intelligence, crowdsourcing, online learning ressources, wikipedia