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Award Abstract # 1444277
Collaborative Research: Deep Insights Anytime, Anywhere (DIA2) - Central Resource for Characterizing the TUES Portfolio through Interactive Knowledge Mining and Visualizations

NSF Org: DUE
Division Of Undergraduate Education
Recipient: GEORGE MASON UNIVERSITY
Initial Amendment Date: May 27, 2014
Latest Amendment Date: July 31, 2014
Award Number: 1444277
Award Instrument: Continuing Grant
Program Manager: Virginia Carter
vccarter@nsf.gov
 (703)292-4651
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: April 18, 2014
End Date: August 31, 2017 (Estimated)
Total Intended Award Amount: $372,251.00
Total Awarded Amount to Date: $372,251.00
Funds Obligated to Date: FY 2011 = $192,753.00
FY 2014 = $179,498.00
History of Investigator:
  • Aditya Johri (Principal Investigator)
    johri@gmu.edu
  • Carlotta Domeniconi (Co-Principal Investigator)
Recipient Sponsored Research Office: George Mason University
4400 UNIVERSITY DR
FAIRFAX
VA  US  22030-4422
(703)993-2295
Sponsor Congressional District: 11
Primary Place of Performance: George Mason University
VA  US  22030-4422
Primary Place of Performance
Congressional District:
11
Unique Entity Identifier (UEI): EADLFP7Z72E5
Parent UEI: H4NRWLFCDF43
NSF Program(s): TUES-Central Resource Project
Primary Program Source: 04001112DB NSF Education & Human Resource
04001415DB NSF Education & Human Resource
Program Reference Code(s): 9178
Program Element Code(s): 751400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

LEAD INSTITUTION: Purdue University

COLLABORATORS: Arizona State University, Stanford University and Virginia Polytechnic Institute and State University

PROJECT DESCRIPTION
This TUES Central Resource Project is designed to help those engaged in improving STEM education to synthesize knowledge produced through NSF investments through a web-based knowledge mining and interactive visualization platform. The Deep Insights Anytime, Anywhere (DIA2) project allows users (e.g., current and potential principle investigators, NSF/TUES program staff, and administrators at academic institutions) to interactively mine, synthesize, and visualize data at a scale that is not possible with currently available tools. DIA2 is based upon a more narrowly scoped Interactive Knowledge Networks for Engineering Education Research (iKNEER) prototype that targeted the engineering education research community, expanding the functionality by an order of magnitude in scale; integrating newer approaches in data mining and visualization into a fully deployed system.

The project has three major goals: (1) Empower the TUES community to leverage TUES investments by understanding the knowledge hidden within its networks; (2) Develop and apply cutting-edge, large-scale knowledge mining and visualization techniques for characterizing the portfolio of TUES and predecessor programs; and (3) Leverage social media optimization and integration to catalyze diffusion of TUES innovations, build a community and sustain the project impact. DIA2 enables users to explore massive amounts of data and make sense of it using a highly intuitive process. The system development approach combines theories of user-centered design, large-scale data mining, community formation, social network analysis, and interactive visualization. The project's evaluation plan includes both formative and summative approaches for documenting, testing, measuring, and sharing community outcomes, internal team working, and system performance.

BROADER SIGNIFICANCE
DIA2 offers a framework for understanding and characterizing the TUES program along with its predecessor programs. It makes data available to a large community of TUES users and allows them to analyze the portfolio to garner an understanding of how ideas are adopted by others in the community. It allows current and future PIs, NSF program officers and administrators at academic institutions to identify best practices and explore synergistic projects in their environments. Since DIA2 is a knowledge portal, it provides a unique opportunity to showcase work undertaken at underserved and underprivileged institutions in new and novel ways. The project team is employing a methodology that attempts to understand the needs of these communities, in order to better address the DIA2 system design requirements. Ultimately, DIA2 is focused on providing knowledge that will allow the community to increase the impact of NSF STEM investments that improve student learning.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 15)
Almatrafi, O. & Johri, A. "Showing and Telling: Response Dynamics in an Online Community of Makers." Proceedings of CSCL , 2017
Almatrafi, O., Johri, A., Rangwala, H. & Lester, J. "). Retention and Persistence among STEM Students: A Comparison of Direct Admit and Transfer Students across Engineering and Science." Proceedings of ASEE. , 2017
Chowdhury, B. & Johri, A. "U.S. Graduate Engineering Students? Perceptions of and Strategies towards Acquiring External Funding for their Education.." International Journal of Engineering Education. , v.30 , 2014 , p.1136
Gelman, B., Beckley, C. Johri, A., Yang, S. & Domeniconi, C. "Online Urbanism: Interest-based Subcultures as Drivers of Informal Learning in an Online Community." ACM Learning at Scale. , 2016
Gelman, B., Revelle, M., Domeniconi, C., Veeramachaneni, K. & Johri, A. "Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs." Proceedings of IEEE Educational Data Mining. , 2016
Johri, A. & Yang, S. "Scaffolded Help for Informal Learning: How Experts Support Newcomers? Productive Participation in an Online Community." Communities and Technologies, 2017 , 2017
Madhavan, K., Elmqvist, N., Vorvoreanu, M., Chen, X., Wong, X., Xian, H., Dong, Z., Johri, A. "DIA2: Web-based Cyberinfrastructure for Visual Analysis of Funding Portfolios." IEEE Transactions on Visualization and Computer Graphics. , v.20 , 2014 , p.1823
Molnar, Andreea, McKenna, Ann F., Liu, Qing, Vorvoreanu, Mihaela and Madhavan, Krishna "Using Visualization to Derive Insights from Research Funding Portfolios." IEEE Computer Graphics & Applications. , v.May/Jun , 2015
Revelle, M., Domeniconi C. & Johri, A. "Evidence of Temporal Artifacts in Social Networks." Proceedings of MUSE Workshop, ECML-PKDD. , 2015
Revelle, M., Domeniconi, C. & Johri, A. "Persistent Roles in Online Social Networks." ECML-PKDD , 2016
Revelle, M., Domeniconi, C. & Johri, A. "Persistent Roles in Online Social Networks." Proceedings of ECML PKDD. , 2016
(Showing: 1 - 10 of 15)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

 The DIA2 project has resulted in the development and implementation of a system that helps different stakeholders -- researchers, program officers, policy makers -- better understand the overall terrain of NSF funding with a focus on projects related to education and learning. The DIA2 system, which is available online for anyone to use (http://www.dia2.org), has been developed using state of the art technology coupled with human-centered design principles to ensure that not only is the information provided by the system useful, it is also usable. DIA2 readily provides information regarding the primary topics that are being researched, the primary researchers in any given domain, the location of projects, and how the overall field has changed over time. In addition to the online system, DIA2 has made intellectual advances in multiple fields including human-computer interaction, data mining, information visualization, and innovation diffusion. Some of the areas it has advanced include a better understanding of research communities over time; visual representation of how research topics change longitudinally; human-centered design principles for studying research communities; and, a better understanding of how similar systems can be used and advance understanding of research. The DIA2 project was a large multi-institutional effort and in addition to supporting productive collaboration of faculty across institutions, the project has support over a dozen graduate students and two postgraduate researchers. These students and postdocs have gone on to hold academic jobs as well as jobs in the industry. 


Last Modified: 08/17/2017
Modified by: Aditya Johri

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