API endpoint Manual
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Sahan Bulathwela, Walid Ben
Romdhane and Victor Connes
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.
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Materials Catalogue
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A full dataset of all the materials in X5GON (100K OERs)
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Data Found at:
https://bit.ly/2pT5TFR
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Summary information about OER materials
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Materials Catalogue
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A full dataset of all the materials in X5GON
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Data Found at:
https://bit.ly/2pT5TFR
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API Overview
X5GON currently supports 2 main APIs:
1.
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Feed API
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Learning Analytics Machine API (LAM API)
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Python Coding Examples
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Go to Google document at:
https://bit.ly/2p3Ygwr
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Select
File
Save a copy in Drive
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Start Building !!!
7
This manual provides a comprehensive guide on the Cross-Modal, Cross-Cultural, Cross-Lingual, Cross-Domain, and Cross-Site Global OER Network API. It covers essential topics such as X5GON's AI-driven platform for delivering OER content, a full dataset of materials available, APIs overview, Feed API details, Learning Analytics Machine API, and Python coding examples. Explore the wide range of features and functionalities offered to enhance educational experiences globally.
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Presentation Transcript
Cross Modal, Cross Cultural, Cross Lingual, Cross Domain, and Cross Site Global OER Network API endpoint Manual Sahan Bulathwela, Walid Ben Romdhane and Victor Connes
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
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
Materials Catalogue A full dataset of all the materials in X5GON (100K OERs) Data Found at: https://bit.ly/2pT5TFR 3
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
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
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
Python Coding Examples Go to Google document at: https://bit.ly/2p3Ygwr Select File Save a copy in Drive Start Building !!! 7
