Global OER Network API Endpoint Tutorial and X5GON Overview

cross modal cross cultural cross lingual cross n.w
1 / 8
Embed
Share

"Explore the cross-modal, cross-cultural, cross-lingual, and cross-domain OER network API tutorial by Sahan Bulathwela, Walid Ben Romdhane, and Victor Connes. Learn about X5GON, an AI-driven platform providing OER content aggregation, curation, personalization, and creation with a massive materials catalogue. Discover the Feed API and Learning Analytics Machine API to access OER meta-information and AI features. Python coding examples available for your projects."

  • OER Network
  • API Tutorial
  • X5GON Overview
  • Learning Analytics
  • Python Coding

Uploaded on | 1 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global OER Network API endpoint Tutorial Sahan Bulathwela, Walid Ben Romdhane and Victor Connes

  2. X5GON X5GON (https://platform.x5gon.org/) A new AI-driven platform that will deliver OER content from everywhere, for the students need at the right time and place. Aggregation Curation Personalization Creation 1

  3. Materials Catalogue A full dataset of all the materials in X5GON (100K OERs) Data Found at: https://bit.ly/2pT5TFR Summary information about OER materials id: Material ID to be used to query the APIs title: title of the OER resource type: Type of content (pdf, mp4 etc.) language: Language (en, fr, sl etc.) keywords: A set of keywords about the content (Not ordered) concepts: Most relevant Wikipedia concepts about content (Most relevant to least relevant) 2

  4. Materials Catalogue A full dataset of all the materials in X5GON (100K OERs) Data Found at: https://bit.ly/2pT5TFR 3

  5. API Overview X5GON currently supports 2 main APIs: 1. Feed API: The set of endpoints that will allow browsing and accessing meta-information about the OER materials feed. 2. Learning Analytics Machine (LAM API): The set of API endpoints that provide AI features extracted from the OER materials 4

  6. Feed API Base URL : https://platform.x5gon.org/api/v1 Docs: https://platform.x5gon.org/products/feed Two main components: Query REST API https://platform.x5gon.org/products/feed#query- rest-api Recommender REST API https://platform.x5gon.org/products/feed#recom mender-rest-api 5

  7. Learning Analytics Machine API (LAM API) Base URL : https://platform.x5gon.org/api/v1 Docs: http://wp3.x5gon.org/lamapidoc Multiple components: Temporal Distance Difficulty Pre-process 6

  8. Python Coding Examples Go to Microsoft Azure Notebook project at: https://bit.ly/33LGH3a Clone Project Start Building !!! 7

More Related Content