Talk:Meta University

Meta University page is the Scope definition of the project, it should:

1. Define the scope summary (What, how, who, why, what does represent, and soon) - Pedro's obs: It should be done, but I think we have even confused more when we should polish and review. I am going to break into small sub meanings so that it can become more clear. Understand, as a principle of communication, we start direct, we develop and we end to be technical. If you punch technical before being soft, you get rebounded just like bad reentry in atmosphere.
2. Define the period of time the project will be applicable - All projects have a beginning and an end, their also have parts that are defined into deliverables and packages of work (also can be known as items or user stories), those packages need to be defined also when they start and done
3. Define People and type of people involved - better known as stakeholders - at least in the 3 main categories: suppliers, buyers (both externals) and owners (students, professors, employees, and always internals)
4. Define a previsional project budget, including a previsional costar the whole lifeTime project
5. Define the Success Criteria for each deliverable of work.

In the following schema, try to define with short sentences, binary relations and close thoughts. (e.g. This road is red. This road has the purpose to go to Shanghai. avoid narrative thinking)

Scope summary defintion schema Define what exactly is MU

• • (1)
  • (2)
  • (3) etc...

Where this idea came from? What are the successors? What do we do at MU? What is the target candidates of MU? How hard is to make the courses? What is MU Based on? Why should I choose MU instead of a common university or even Cambridge? Do I get a College degree here? Is there any teachers Who represents MU? is it a country or a group of people? How is it sponsored? tuitions? or how? What comes after MU, professionally? what are my exits? Will I become an engineer?

Logic Model (Meta University) Template:LogicModel 02 22, 2022
Abstract Specification Context As Moore's Law shifted the paradigm of data processing by claiming that data processing capabilities will grow at an exponential pace. This exponential growth assumption has not only guided the development of technologies, but also challenged social and economic believes around the world. It also becomes a theory that shapes our perception of the half-life of useful knowledge. Since all knowledge must be representable in some form of processable data, the functions of universities in general are about creating intuitive data presentation, effective data processing, and providing of highly-available data content. Goal The goal of MU is to enable all learnable organizations to become self-aware through the following tri-fold knowledge organization framework: Establish a sound cognitive foundation grounded on data: Data Structures and Algorithms to process the data. Support decisions with effective methods: Teach computational thinking to improve upon mental models and the awareness and skills to use computing tools. Improve upon the system of knowledge: Publish knowledge content and create data manipulation methods and tools to attenuate unnecessary information asymmetry. Success Criteria Organizations and individuals that contribute to MU-based learning activities must be able to exchange data in a consistent format that is compliant with a common data exchange format defined by the MU community. MU-related data content should be labeled by a common time-stamping system that defines the partial ordering sequences of data updates across all MU data sets. The degree of MU success will be continuously measured by the amount of published knowledge content that reached consensus according to the consensus reaching process defined by MU community.
Concrete Implementation Given Inputs When Process is executed... Then, we get Outputs PKC the software package Computing resources for running PKC MU Participants Participant Signed Constitution Budget and Endowment of resources Publicly witness time progression (witness by blockchains). Common PKC DevOps Cycles. Team-based cycles of MU program execution. Organizationally-independent PKC-bound Data Assets including PKC DevOps Records Organization-specific Data interpreted given PKC Data Assets Accomplish observable societal impact according to organizational consensus
Boundary/Safety Conditions of Meta University The adoption of PKC as a common knowledge/ data repository All participants have access to at least one shared instance of PKC. Data and Network Security mechanisms employed by PKCs are not breached.

Definition on CpL and CpL = Xp/t

The objective to have CpL is to substitute completely inaccurate scores of intelligence such as IQ tests. This score system, is a metric reporting on intelligence but also person capabilities and should be replicated to any education institution. CpL can be only performed with enough time since time is the "key" for measuring any skill of an individual.

Capacity of Learning (as a grade) or CpL

$CpL=Xp/t$

CpL is a total score value for measuring human capacity in a similar way as the IQ specially created for MU. Instead of a "full of flaws" test such as IQ, CpL uses time to correct the accuracy of intelligence and by a progressive method. Before measuring what a human brain can be or do at the time of a test, it challenges the capacity of the individual to adapt and improve through several different and unique experiences to become better. Therefore, each individual that complete the experiences faster than others and with the same quality means that has a better capacity to learn, adapt and provide actual value in a job, challenge, research or even diplomatic discussion.

CpL corrects the current intelligence measuring systems because it has an extra variable which is essential to life.

' How do we calculate CpL?

1. $CpL$ is calculated through a dynamic variable called experience ($Xp$) divided by time($t$).
2. Experience (or $Xp(t)$) is a dynamic variable, meaning that it is a variable that changes constantly according to the real input of work. In other words, the amount of experience of learning will change over time, and the experience value will be labeled by MU process of learning. This means that our CpL grade can simply change without any personal action but by normal activity of all other participants
3. Defining Experience is calculated through a groups of projects called Challenges:
   1. A Challenge can be a course like “learn foundations of JavaScript” , a simple service or any other activity that requires effective and measurable human behavior and time.
   2. It is temporary and has a defined beginning and an end.
   3. Challenges can’t be considerer if they are not finished, and realData can’t be used if the candidate simply delays giving a big lag in the time to complete.
   4. Xp Projects are always defined with a fix value of 100 and have a timeStamp aggregated.
   5. Project timeStamp is calculated through 2 means: by realData (by user direct experience) and dataAgregation (by a process of ML, grouping unsupervised data). realData is fundamental as a corrective of dataAgregation which is fundamental to have timeStamps when there is no history records yet on projects.
   6. timeStamp is defined by units expressed in days. For smaller projects a fraction of daytime should be applied.
   7. timeStamp is the maximum amount of time, real or predicted, to complete the Challenge and known as possible.
      1. Calculating Challenges (Ch) it is = 100 * Challenge timeStamp.
4. time($t$) is the sum of candidate realTime challenges (that are included in XP).
5. Experience($Xp$) is the sum of all Challenges
6. grading chart CpL = 100 it means that the person has the top capacity to learn on the subjects applied. but we have certain fallbacks:
   1. A person can do better than the best time which will make the CpL pass 100, however, every time the time is improved it is also updated.
   2. Since there is two means of verify the best timeStamp of a challenge, the new timestamp is never strictly updated to the person that has a better record of that time, which makes that user to pass the scale of CpL>100
7. Running Challenges requires a “clock engine" on PKC feeding the timeStamp

1. Additionally, out of university borders, to other areas such as a common package of work to a company, this metric is still valid and will put on test for life the participants making sure that each adaptation can be improved and not limited to a simple exam or quiz test.

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