Main Page

Main Page
Context	Provide Orientation for HDX students.
Goal	Help HDX students become aware of ICT tools
Criteria	Increased usage of PKC
Outputs	Pages created using PageFlow
Process	Content to be edited using features listed in PageFlow
Inputs	Active Participants and Semantic MediaWiki
Boundaries	No access to qualified computers or Internet-connected Modern Browsers

Welcome to the landing page of XLP microservice. The XLP microservice is a scalable ICT platform aims at helping our participants to publish their learning experience for individuals as well as the community connected through the Internet. An operational goal is to motivate collaborative users to share data in a common place.

The rationale is to create a smooth workflow that increases sharing and reduces cycle time. To maximize the interaction, we hope that XLP microservice will serve as an information hub, linked to resources stored or managed by commercial data service providers, such as Google Drive, Github, or many other private and public Internet-connected resources.

ICT Tools for Learning

Given the distributed nature of our online learning program, there are many ICT tools that help develop one's digital native skills. Knowing that there will be many different skill levels in our highly diverse cohort, we have created a multi-tiered approach to engage your participation.

1. Non-Digital Native: All participants will frequently use popular web-apps and smartphone apps during the program.
2. Content Creator: All participants will have read/write access to the dedicated instances of Semantic MediaWiki. Since all content are automatically version controlled, we will allow dedicated content-organizers in your own teams to maintain data integrity for your own team.
3. Self-Service Agent: All participants will be given instruction material to learn to operate their own Semantic MediaWiki instance for personal knowledge management. However, installation and operation of this personal data instrument is not required for all participants.

Universal Data Abstraction

In the era of Big Data, the required skill set can be summarized in one term:Universal Data Abstraction. Knowing the potentials and boundaries of Universal Data Abstraction is to acquire the skill to use available resources to capture data of any sort, and use them under various contexts, including working with many people.

MediaWiki and Universal Data Abstraction

Currently, the most mature Open Source technology in helping students develop the skill set on Universal Data Abstraction is through Semantic MediaWiki. We prepared PKC to help you experience the universality of data abstraction by running a public instance of MediaWiki for you, and prepared this instruction to help you operate PKC on your own. PKC stands for Personal Knowledge Container, it a customized version of MediaWiki that can be operated by organization of varying sizes, so that data ownership can be universal. There are many MediaWiki related resources for knowledge management, you can find them in references grouped as footnotes.

Personal Knowledge Container (PKC)

This MediaWiki instance is powered by Semantic MediaWiki, and orchestrated in a data publishing workflow, named Personal Knowledge Container. If you plan to have a privately operated knowledge container, please consider following the instructions in PKC to own one for yourself.

Signed Pages

No pages meet these criteria.

Semantic Search

The following list shows all the Technical Term:

Artificial Intelligence, Cognitive Science, Computing Science, Machine Learning, Mathematical logic, Mathematics, Reinforcement learning, Supervised learning, Universality, Unsupervised learning

References

172.22.0.1 06:34, 28 April 2021 (UTC)