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= Systems =
This page presents the main types of topics and technologies explored by PAWS Lab. As other Wiki pages, it is permanently in construction.
 
== Personalized Learning Systems ==
 
Personalized learning technologies provide an alternative to the dominant “one-size-fits-all” approach to treating diverse student audiences. While having a relatively long history, this research direction moved to the forefront only recently when modern information technologies opened new learning opportunities for a wide range of students. Nowadays, personalized learning is considered to be a top priority research direction by many experts. For example, [http://www.engineeringchallenges.org/cms/8996/9127.aspx advanced personalized learning] was named among [http://www.engineeringchallenges.org/ 14 Grand Challenges for Engineering] along with preventing nuclear terror and making solar energy economical. It has also been listed among the highest funding priorities in [http://cacm.acm.org/magazines/2010/2/69358-assessing-the-changing-us-it-rd-ecosystem/fulltext Communications of the ACM].
 
Personalized learning technologies enable e-learning systems to maintain a model of the goals, preferences and knowledge of each student and apply this model to adapt the system performance to the student making the learning process more efficient and enjoyable. In so doing, various kinds of personalized e-learning systems demonstrated their ability to help students acquire knowledge faster, improve learning outcomes, reduce navigational overhead, and increase student engagement. Our team is interested a range of personalized learning technologies, focusing on modeling learner knowledge of the subject. Individual models of learner knowledge that our systems maintain are used to guide learners to the most appropriate learning content using course sequencing and adaptive navigation support technologies. Some systems also use the models to deliver adaptive visualization. Below is the list of personalized learning systems developed by our group. Most of these systems are open for anyone to use and explore online.
 
Systems:
* [[QuizGuide]]
* [[NavEx]]
* [[Database Exploratorium]]
* [[KnowledgeZoom]]
* [[MasteryGrids]]
* [[JavaGuide]]
* [[Progressor]]
* [[ProgressorPlus]]
 
== Adaptive Information Access Systems ==
Systems:
* [[Proactive]]
* [[TaskSieve]]
* [[YourNews]]
 
== Social Information Access Systems ==
Systems:
* [[ImageSieve]]
* [[NameSieve]]
 
== Personalized Social Systems for Local Communities ==
Systems:
* [[Conference Navigator 3]]
* [[Eventur]]
* [[CoMeT]]
 
= Technologies =


== Architectures for Personalized E-Learning ==
== Architectures for Personalized E-Learning ==
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Adaptive Program Visualization [[IMPROVE|more]]
Adaptive Program Visualization [[IMPROVE|more]]


==Cross-Domain Recommendation==
== Cross-Domain Recommendation==
 
== Domain Modeling For Adaptive Educational Systems ==
* [[Domain Modeling]]
 
== Learner Modeling ==
* [[Learner Modeling]]
 
== Navigation in Video Lectures ==
* [[virtPresenter]]
* [[virtPresenter II]]


== Open Corpus Adaptive Hypermedia ==
== Open Corpus Adaptive Hypermedia ==


== Open Social Student Modeling ==
== Open Learner Modeling ==
 
More at [[Open Learner Modeling]]
 
* [[ELM-ART]]
* [[InterBook]]
* [[QuizGuide]]
* [[JavaGuide]]
* [[QuizMap]]
* [[Progressor]]
* [[ProgressorPus|Progressor+]]
* [[Mastery Grids Interface]]


== Social Navigation ==
== Social Navigation ==
* [[Knowledge Sea]]
* [[AnnotatEd]]
* [[virtPresenter]]
* [[virtPresenter II]]
* [[Conference Navigator]]
* [[CoMeT]]
* [[QuizMap]]
* [[Progressor]]
* [[ProgressorPus|Progressor+]]
* [[MasteryGrids]]
* [[ReadingCircle]]


== Worked-out Examples in Programming ==
== Worked-out Examples in Programming ==
== User-Controlled Personalization ==
* [[YourNews]]
* [[TaskSieve]]
* [[TalkExporer]]
* [[SetFusion]]

Latest revision as of 15:39, 6 December 2023

This page presents the main types of topics and technologies explored by PAWS Lab. As other Wiki pages, it is permanently in construction.

Architectures for Personalized E-Learning

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. more

Adaptive Electronic Textbooks

==> more

Adaptive Information Visualization

Adaptive Navigation Support

Adaptive Program Visualization

Adaptive Program Visualization more

Cross-Domain Recommendation

Domain Modeling For Adaptive Educational Systems

Learner Modeling

Navigation in Video Lectures

Open Corpus Adaptive Hypermedia

Open Learner Modeling

More at Open Learner Modeling

Social Navigation

Worked-out Examples in Programming

User-Controlled Personalization

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