Meta University/Scope
MU Scope Summary
Meta University is a data-centric knowledge management project, which means that it will provide an intellectual framework and operational platform to enable data-centric knowledge management.
More concretely, MU provides a step-by-step curriculum to lead students and learning organizers to utilize PKC, so that an increasingly larger community could practice the use of modern data-intensive infrastructures to conduct daily chores and develop new skills collaboratively.
The MU project therefore will present a living, dedicated to specifying the organizational principles, functional features, required resources, and tools for running interoperable data-centric knowledge management organizations. It is created to allow people to better leverage existing data instrumentation to learn, but individually and organizationally.
Time Periods
- The initial formulation of MU will take about 45 days, starting from March 1st, 2022, to April 15th, 2022. During this period, the basic feature of MU, in terms of people, process, and technologies.
- The initial operational period of MU will take three months, starting from April 15th, 2022, to July 15th, 2022. During this period, a small group of students will be using features defined by MU to conduct learning experiments and collect operational data.
- The initial refinement of MU will take two more months, starting from July 1st, 2022, to September 15th, 2022. During this period, participants of the initial MU project will create a document summarizing how to run MU using the proposed methods and tools.
Participants
- Data Scientists and Learning Organizers: Muhammad Haviz and Ben Koo will be working on designing the infrastructure to enable learning activities and data retention.
- Content Providers and Students: Surya University and Gasing Method students will be the initial practitioners to adopt PKC and MU.
- The initial budget of MU is shown below: Meta Unviersity/Budget
- The main success criteria are to be judged by the viral adoption of MU as a generic model for content exchange and learning assessment.