A computational model to understand, analyse, and advise on human learning.
|Author||Fridolin Wild <firstname.lastname@example.org>|
|Date of publication||2016-04-27 16:25:06|
|Maintainer||Fridolin Wild <email@example.com>|
|License||GPL (>= 2)|
accessor: Accessor for a Person's Performances
addition: Adding performance's meaning vectors.
competences: Calculate Competence Positions
cosine: Cosine measure
datasets: Data sets provided with the MPIA package
dimcalc_var: Calculate the optimal number of Eigenvalues to be retained.
Domain-class: Class '"Domain"'
DomainManager: Administer multiple social semantic spaces.
DomainManager-class: Class '"DomainManager"'
groups: Identify groups of persons with identical competence...
HumanResourceManager-class: Class '"HumanResourceManager"'
identity: Testing for Identity
mpia-package: Meaningful Purposive Interaction Analysis (MPIA)
names: The Names of a Performance or Person
near: Who or What is Near?
overlap: Find conceptual overlap between performances
path: The Learning Path
Performance: Record of an Activity Trace
Performance-class: Class '"Performance"'
performances: The Performances of a Single or All Persons
Person: Digital Representation of a Learner
Person-class: Class '"Person"'
plot: Plot Domains, Performances, and Persons
position: The Position of a Person
print: Print an Object
proximity: Proximity: Measure Associative Closeness
show: Show an Object
summary: Summary methods of the mpia package
terms: The top loading Terms of a Person or Performance
toponymy: Find landmarks in the map and label them
Visualiser: The Visualiser Object
Visualiser-class: Class '"Visualiser"'