Difference between revisions of "Projects"
Line 1: | Line 1: | ||
− | This page presents a list of funded projects performed by PAWS Lab. | + | This page presents a list of funded projects performed by PAWS Lab. The most recent projects are shown at the top of the list. |
+ | |||
+ | ==[[ HELPeR - Health e-Librarian with Personalized Recommender]]== | ||
+ | As the Internet has become a prominent source of health information to guide patients’ decision-making and self-management activities, patients strongly indicate they need navigational support to locate appropriate information on the Internet. The overall goal of our project is to build and implement a “Health E-Librarian with Personalized Recommendations (HELPeR)”, a personalized digital librarian that provides individualized, reliable online information relevant to the patient’s needs, interests, and knowledge across the disease trajectory. | ||
+ | |||
+ | For a fuller description of our vision and goals, see the [home page of the project http://www.pitt.edu/~dah44/helper/] | ||
+ | |||
+ | Supported by NIH grant R01-LM013038-02 (2019-2022). [[https://www.grantome.com/grant/NIH/R01-LM013038-02|==> more]] | ||
==[[Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education]]== | ==[[Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education]]== |
Revision as of 14:19, 21 January 2021
This page presents a list of funded projects performed by PAWS Lab. The most recent projects are shown at the top of the list.
Contents
- 1 HELPeR - Health e-Librarian with Personalized Recommender
- 2 Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education
- 3 Open Corpus Personalized Learning
- 4 Adaptive Navigation Support and Open Social Learner Modeling for PAL
- 5 Ensemble: Enriching Communities and Collections to Support Education in Computing
- 6 Engaging Students in Online Reading Through Social Progress Visualization
- 7 Personalized Social Systems for Local Communities
- 8 Personalization and social networking for short-term communities
- 9 Modeling and Visualization of Latent Communities
- 10 Personalized Exploratorium for Database Courses
- 11 GALE: Distillation with Utility-Optimized Transcription and Translation
- 12 Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization
- 13 Adaptive Explanatory Visualization for Learning Programming Concepts
- 14 Individualized Exercises for Assessment and Self-Assessment of Programming Knowledge
- 15 Educational Software for Teaching and Learning Information Retrieval
- 16 Supporting Learning from Examples in a Programming Course
- 17 Adaptive Electronic Textbooks for World Wide Web
HELPeR - Health e-Librarian with Personalized Recommender
As the Internet has become a prominent source of health information to guide patients’ decision-making and self-management activities, patients strongly indicate they need navigational support to locate appropriate information on the Internet. The overall goal of our project is to build and implement a “Health E-Librarian with Personalized Recommendations (HELPeR)”, a personalized digital librarian that provides individualized, reliable online information relevant to the patient’s needs, interests, and knowledge across the disease trajectory.
For a fuller description of our vision and goals, see the [home page of the project http://www.pitt.edu/~dah44/helper/]
Supported by NIH grant R01-LM013038-02 (2019-2022). [> more]
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
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
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