Difference between revisions of "ADL"

From PAWS Lab
Jump to: navigation, search
(Description)
Line 1: Line 1:
 
This page is for the ADL project.
 
This page is for the ADL project.
  
== Description ==  
+
== Description ==
 +
 
 +
PAWS participation in ADL is focused in the development of MasteryGrids system. Mastery Grids is a visual-rich, interactive, adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open user modeling, and multi-type learning materials support. It presents and compares user learning progress and knowledge level (mastery) by colored grids, tracks user activities and feedbacks dynamically and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. question, example) of learning materials.
 +
The architecture supporting Mastery Grids fulfills a major objective, portability, which is the ability to be integrated to other systems with little set up and modification. The architecture is modular and includes different software components:
 +
 
 +
frontend user-system interaction interface, the Mastery Grids interafce,
 +
 
 +
backend Aggregate services communicating between the main interface and user modeling services,
 +
 
 +
backend user modeling services, and
 +
 
 +
backend content providing applications.
  
 
== Resource ==  
 
== Resource ==  

Revision as of 15:10, 11 March 2015

This page is for the ADL project.

Description

PAWS participation in ADL is focused in the development of MasteryGrids system. Mastery Grids is a visual-rich, interactive, adaptive E-learning platform with integrated functionalities enabling multi-facet social comparison, open user modeling, and multi-type learning materials support. It presents and compares user learning progress and knowledge level (mastery) by colored grids, tracks user activities and feedbacks dynamically and provides flexible user-centered navigation across different content levels (e.g. topic, question) and different content types (e.g. question, example) of learning materials. The architecture supporting Mastery Grids fulfills a major objective, portability, which is the ability to be integrated to other systems with little set up and modification. The architecture is modular and includes different software components:

frontend user-system interaction interface, the Mastery Grids interafce,

backend Aggregate services communicating between the main interface and user modeling services,

backend user modeling services, and

backend content providing applications.

Resource

tutorials/slide/github

Publications