This page presents a list of funded projects performed by PAWS Lab. The most recent projects are shown at the top of the list.
- 1 New Projects
- 2 Current Projects
- 2.1 Integrating complementary learning principles in aphasia rehabilitation via adaptive modeling
- 2.2 An Interactive Electronic Textbook for Python Programming and Data Science Courses
- 2.3 HELPeR - Health e-Librarian with Personalized Recommender
- 2.4 Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education
- 2.5 CSEdPad
- 3 Past Projects
- 3.1 Open Corpus Personalized Learning
- 3.2 Adaptive Navigation Support and Open Social Learner Modeling for PAL
- 3.3 Ensemble: Enriching Communities and Collections to Support Education in Computing
- 3.4 Engaging Students in Online Reading Through Social Progress Visualization
- 3.5 Personalized Social Systems for Local Communities
- 3.6 Personalization and Social Networking for Short-Term Communities
- 3.7 Modeling and Visualization of Latent Communities
- 3.8 Personalized Exploratorium for Database Courses
- 3.9 GALE: Distillation with Utility-Optimized Transcription and Translation
- 3.10 Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization
- 3.11 Adaptive Explanatory Visualization for Learning Programming Concepts
- 3.12 Individualized Exercises for Assessment and Self-Assessment of Programming Knowledge
- 3.13 Educational Software for Teaching and Learning Information Retrieval
- 3.14 Supporting Learning from Examples in a Programming Course
- 3.15 Adaptive Electronic Textbooks for World Wide Web
Large Language Models in Programming Authoring Interfaces
Rully Hendrawan [LLM for domain modeling](https://docs.google.com/presentation/d/1EjlC0MUKzbWKfOMHJffrVXJ31cbjJFcxIv5F9HBjULU/edit?usp=sharing)
Aphasia, commonly caused by stroke or other acquired brain injuries, can have a negative effect on an individual’s quality of life, often leading to depression and feelings of isolation. A primary frustration for people with aphasia is anomia, or word-finding difficulty. In this NIH-funded project, an interdisciplinary team of researchers will work on developing and evaluating novel adaptive computer-based aphasia treatments to help improve the efficiency and long-term impact of language treatment.
Supported by NIH grant (2021 - 2026). more
Peter Brusilovsky proposes to develop AdaPT, an interactive and adaptive system for learning and practicing Python programming and Data Science skills, which fuses a well-tested electronic textbook with a large volume of “smart” interactive learning content: worked code examples, code animations, and several types of automatically assessed practice problems. The system uses advanced learner modeling to trace the growth of learner’s knowledge and skills and to identify misunderstood concepts. Adapting dynamically to the current state of knowledge, it suggests most appropriate interactive content to practice at every step of learning. More details on the Award can be found here.
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 detailed 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 more complete 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
Supported by NSF grant IIS 1822752 (2018-2023). ==> more
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
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
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
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
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 evaluating 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 on developing and evaluating a personalized assessment technology for programming courses.
Supported by NSF (2003-2005). ==> more
Supported by Innovation in Education Award, University of Pittsburgh (2003-2004). ==> more
Supported by Innovation in Education Award, University of Pittsburgh (2001-2002). ==> more