Difference between revisions of "ADAPT2"
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== Adaptive Shells == | == Adaptive Shells == | ||
| − | + | ADAPT2 supports multiple types of adaptive shells (aka value-adding services) which are the key components for providing adaptation and personalization. Adaptive shells stand between a portal and learning objects coming from multiple content servers. In contrast to the portal, which is not personalized, adaptive shells can provide personalized access to learning objects. The ability to insert various adaptive shells between the portal and the learning content makes possible to explore various personalization approaches. Examples of adaptive shells explored by our lab in the past include [[NavEx]] for concept-based personalization, [[QuizGuide]] for topic-based personalization, and[[Knowledge Sea II]] for social navigation support and several shells for studies social comparisons - [[Progressor]], [[Progressor+]]. Since 2015 most of our research use [[Mastery Grids]]. | |
== Content Servers == | == Content Servers == | ||
Revision as of 21:47, 20 January 2025
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
- Content Servers
- Adaptive Shells, AKA Value-added services
- 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 central user modeling server responsible for collecting evidence of user activity and for generating user models, i.e., assertions about the knowledge and mastery of individual users. Personalization components of the architecture, such as personalized shells and personalized learning content, could get access to the user models (using CUMULATE protocols) to offer personalized access and other personalized services to the end users. ==> (more on CUMULATE)
Adaptive Shells
ADAPT2 supports multiple types of adaptive shells (aka value-adding services) which are the key components for providing adaptation and personalization. Adaptive shells stand between a portal and learning objects coming from multiple content servers. In contrast to the portal, which is not personalized, adaptive shells can provide personalized access to learning objects. The ability to insert various adaptive shells between the portal and the learning content makes possible to explore various personalization approaches. Examples of adaptive shells explored by our lab in the past include NavEx for concept-based personalization, QuizGuide for topic-based personalization, andKnowledge Sea II for social navigation support and several shells for studies social comparisons - Progressor, Progressor+. Since 2015 most of our research use Mastery Grids.
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.
