Difference between revisions of "ADAPT2"
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[[Image:adapt2-arcitecture.gif|thumb|'''100'''|ADAPT<sup>2</sup> Architecture]] | [[Image:adapt2-arcitecture.gif|thumb|'''100'''|ADAPT<sup>2</sup> Architecture]] | ||
| − | ADAPT<sup>2</sup> (read adapt-square) - Advanced Distributed Architecture for Personalized Teaching and Training - is a framework targeted at providing personalization and adaptation services for developers of content that lacks personalization. | + | [[ADAPT2|ADAPT<sup>2</sup>]] (read adapt-square) - Advanced Distributed Architecture for Personalized Teaching and Training - is a framework targeted at providing personalization and adaptation services for developers of content that lacks personalization. |
| − | ADAPT<sup>2</sup> consists of the following principal components. | + | [[ADAPT2|ADAPT<sup>2</sup>]] consists of the following principal components. |
| − | * Knowledge Tree - portal | + | * [[Knowledge Tree]] - portal |
| − | * CUMULATE - user-modeling server | + | * [[CUMULATE]] - user-modeling server |
* Adaptive Shells | * Adaptive Shells | ||
* Content Servers | * Content Servers | ||
| − | * PERSEUS - personalization service engine | + | * [[PERSEUS]] - personalization service engine |
== Knowledge Tree == | == Knowledge Tree == | ||
| − | Knowledge Tree is a | + | {| |
| + | | valign="top" | [[Image:KnowledgeTreeLogo.gif|thumb|left|'''100'''|Knowledge Tree]] | ||
| + | | valign="top" | [[Knowledge Tree]] is a link aggregating portal. It presents content structured according to the folder-document paradigm. [[Knowledge Tree]] provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. ([[Knowledge Tree|more]]) | ||
| + | |} | ||
== CUMULATE == | == CUMULATE == | ||
| − | CUMULATE is a cental user modeling server responsible for collecting evidence of user activity and for generating assertions about user knowledge and mastery. ([[CUMULATE|more]] on CUMULATE) | + | [[CUMULATE]] is a cental user modeling server responsible for collecting evidence of user activity and for generating assertions about user knowledge and mastery. ([[CUMULATE|more]] on CUMULATE) |
== Adaptive Shells == | == Adaptive Shells == | ||
| Line 21: | Line 24: | ||
== Content Servers == | == Content Servers == | ||
| − | Content servers provide learning objects for students to interact with. Content servers that work with ADAPT<sup>2</sup> include: [[WebEx]], [[QuizPACK]], [[WADEIn|c/jWADEIn]], [[SQLKnoT]], [[QuizJET]] (PAWS native), | + | Content servers provide learning objects for students to interact with. Content servers that work with [[ADAPT2|ADAPT<sup>2</sup>]] include: [[WebEx]], [[QuizPACK]], [[WADEIn|c/jWADEIn]], [[SQLKnoT]], [[QuizJET]] (PAWS native), [http://ictg.cosc.canterbury.ac.nz:8000/ SQL Tutor] (University of Canterbury, New Zealand) Jeliot (Johensuu University), Problets (Ramapo College, US). |
== PERSEUS == | == PERSEUS == | ||
| − | [[PERSEUS|more]] | + | [[Image:Perseus.gif|thumb|100px|PERSEUS]] |
| + | [[PERSEUS]] is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. [[PERSEUS]] protocols are based on [http://en.wikipedia.org/wiki/Rdf RDF] and [http://en.wikipedia.org/wiki/RSS_(file_format)#RSS_1.0 RSS 1.0]. Although, [[PERSEUS]] was initially developed for [[ADAPT2|ADAPT<sup>2</sup>]] framework, its data model permits seamless support of any other hypermedia application. Currently [[PERSEUS]] supports social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques. | ||
| + | |||
| + | ==Standardization == | ||
| + | Data models of [[ADAPT2|ADAPT<sup>2</sup>]] components are partially serialized as [http://en.wikipedia.org/wiki/Resource_Description_Framework RDF]. For more information refer to [[ADAPT2 RDF Binding|ADAPT<sup>2</sup> RDF Binding]]. | ||
| + | |||
| + | == Contacts == | ||
| + | * [[User:Myudelson | Michael V. Yudelson]] | ||
| + | * [[User:Sergey | Sergey Sosnovsky]] | ||
Latest revision as of 00:54, 19 May 2009
Contents
Overview
ADAPT2 (read adapt-square) - Advanced Distributed Architecture for Personalized Teaching and Training - is a framework targeted at providing personalization and adaptation services for developers of content that lacks personalization.
ADAPT2 consists of the following principal components.
- Knowledge Tree - portal
- CUMULATE - user-modeling server
- Adaptive Shells
- Content Servers
- PERSEUS - personalization service engine
Knowledge Tree
| Knowledge Tree is a link aggregating portal. It presents content structured according to the folder-document paradigm. Knowledge Tree provides authentication and authorization and implements a simplified form of access control. It supports collaborative authoring and social annotation. (more) |
CUMULATE
CUMULATE is a cental user modeling server responsible for collecting evidence of user activity and for generating assertions about user knowledge and mastery. (more on CUMULATE)
Adaptive Shells
Adaptive shells aka value-adding services - are providing adaptation and personalization. They serve as wrappers for learning objects from content servers. Examples of adaptive shells include NavEx, QuizGuide, and Knowledge Sea II.
Content Servers
Content servers provide learning objects for students to interact with. Content servers that work with ADAPT2 include: WebEx, QuizPACK, c/jWADEIn, SQLKnoT, QuizJET (PAWS native), SQL Tutor (University of Canterbury, New Zealand) Jeliot (Johensuu University), Problets (Ramapo College, US).
PERSEUS
PERSEUS is a Personalization Service Engine. It provides adaptive support for non-personalized (educational) hypermedia systems by abstracting content presentation/aggregation from user modeling. PERSEUS protocols are based on RDF and RSS 1.0. Although, PERSEUS was initially developed for ADAPT2 framework, its data model permits seamless support of any other hypermedia application. Currently PERSEUS supports social navigation, topic-based navigation, concept-based navigation, and adaptive filtering techniques.
Standardization
Data models of ADAPT2 components are partially serialized as RDF. For more information refer to ADAPT2 RDF Binding.
