Difference between revisions of "Projects"

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This page presents a list of funded projects performed by PAWS Lab. Most recent projects are show on the top of the list.
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This page presents a list of funded projects performed by PAWS Lab. Most recent projects are shown on the top of the list.
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==[[Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education]]==
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The mission of this collaborative project is to support the CS Education community by supplying documentation and infrastructure to help with adopting shared standards, protocols, and tools. In this way we hope to promote
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* development and broader re-use of innovative learning content that is instrumented for rich data collection;
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* formats and tools for analysis of learner data; and
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* best practices to make large collections of learner data and associated analytics available to researchers in the CSE, data science, and learner science communities.
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For a fuller description of our vision and goals, see the [home page of the project https://cssplice.github.io/]
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Supported by NSF grant EHR 1740775 (2017-2021). [[Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education|==> more]]
  
 
==[[Open Corpus Personalized Learning]]==
 
==[[Open Corpus Personalized Learning]]==
This project challenges the assumption that adaptive hypermedia systems require expensive knowledge engineering for domain and content modeling. It replaces carefully-crafted domain model with automatically-created domain models, lowering the cost of developing such systems while also providing a wider range of instructional paths through the content.  
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This project challenges the assumption that adaptive hypermedia systems require expensive knowledge engineering for domain and content modeling. It replaces the carefully-crafted domain model with automatically-created domain models, lowering the cost of developing such systems while also providing a wider range of instructional paths through the content.  
  
 
Supported by NSF grant IIS 1525186 (2015-2018). [[Open Corpus Personalized Learning|==> more]]
 
Supported by NSF grant IIS 1525186 (2015-2018). [[Open Corpus Personalized Learning|==> more]]

Revision as of 22:27, 4 September 2018

This page presents a list of funded projects performed by PAWS Lab. Most recent projects are shown on the top of the list.

Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education

The mission of this collaborative project is to support the CS Education community by supplying documentation and infrastructure to help with adopting shared standards, protocols, and tools. In this way we hope to promote

  • development and broader re-use of innovative learning content that is instrumented for rich data collection;
  • formats and tools for analysis of learner data; and
  • best practices to make large collections of learner data and associated analytics available to researchers in the CSE, data science, and learner science communities.

For a fuller description of our vision and goals, see the [home page of the project https://cssplice.github.io/]

Supported by NSF grant EHR 1740775 (2017-2021). ==> more

Open Corpus Personalized Learning

This project challenges the assumption that adaptive hypermedia systems require expensive knowledge engineering for domain and content modeling. It replaces the carefully-crafted domain model with automatically-created domain models, lowering the cost of developing such systems while also providing a wider range of instructional paths through the content.

Supported by NSF grant IIS 1525186 (2015-2018). ==> more

Adaptive Navigation Support and Open Social Learner Modeling for PAL

The goal of this project is to leverage the power of open social learner modeling and adaptive navigation support in the context of the envisioned Personalized Assistant for Learning (PAL).

Supported by the Distributed Learning Initiative contract W911QY13C0032 (2013-2016). ==> more

Ensemble: Enriching Communities and Collections to Support Education in Computing

Ensemble is a cross-university collaborative effort that aims to bring together the global community of computing educators around a growing set of content collections with high-quality educational resources.

Supported by NSF (2008-2014). ==> more

Engaging Students in Online Reading Through Social Progress Visualization

This project explores an alternative approach to encourage student online textbook reading using a social progress visualization interface.

Supported by Innovation in Education Award, University of Pittsburgh (2012-2013). ==> more

Personalized Social Systems for Local Communities

The project explored the use of personalization and mobile computing to increase user engagement in location-bound social systems.

Supported by Google (2010-2012). ==> more

Personalization and social networking for short-term communities

The project explored a range of approaches, which can enable reliable social networking and personalization in communities, which exist for short period of time, like researchers attending a specific conference.

Supported by NSF (2010-2011). In collaboration with Jung Sun Oh. ==> more

Modeling and Visualization of Latent Communities

The project focused on the problem of discovering latent communities from Social Web data and presenting this data in visual form.

Supported by the Institute for Defense Analysis and NSF (2010-2012). ==> more

Personalized Exploratorium for Database Courses

The project focused on developing and evaluation of a personalized educational environment for teaching Database courses.

Supported by NSF (2007-2008). In collaboration with Vladimir Zadorozhny. ==> more

GALE: Distillation with Utility-Optimized Transcription and Translation

Supported by DARPA (2005-2007) In collaboration with Carnegie Mellon University and IBM ==> more

Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization

The project focused on developing technologies for personalized access to information based on adaptive navigation support, collaborative filtering, and information visualization.

Supported by NSF (2005-2010). ==> more

Adaptive Explanatory Visualization for Learning Programming Concepts

The project focused on developing and studying adaptive explanatory visualization technologies for C and Java programming languages.

Supported by NSF (2004-2007). In collaboration with Michael Spring. ==> more

Individualized Exercises for Assessment and Self-Assessment of Programming Knowledge

The project focused developing and evaluating a personalized assessment technology for programming courses.

Supported by NSF (2003-2005). ==> more

Educational Software for Teaching and Learning Information Retrieval

Supported by Innovation in Education Award, University of Pittsburgh (2003-2004). ==> more

Supporting Learning from Examples in a Programming Course

Supported by Innovation in Education Award, University of Pittsburgh (2001-2002). ==> more

Adaptive Electronic Textbooks for World Wide Web

Supported by NSF (1997-1998). In collaboration with John Anderson and Gerhard Weber ==> more