
NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
Recipient: |
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Initial Amendment Date: | September 12, 2012 |
Latest Amendment Date: | September 12, 2012 |
Award Number: | 1257347 |
Award Instrument: | Standard Grant |
Program Manager: |
Sushil K Prasad
OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
Start Date: | October 1, 2012 |
End Date: | September 30, 2015 (Estimated) |
Total Intended Award Amount: | $178,806.00 |
Total Awarded Amount to Date: | $178,806.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
3112 LEE BUILDING COLLEGE PARK MD US 20742-5100 (301)405-6269 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2117b Hornbake Bldg College Park MD US 20742-4325 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | CI-TEAM |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
In this project, the researchers will collaborate with one of the foremost open education platforms, the Peer 2 Peer University (P2PU), to study how online cyberinfrastructure can be designed, implemented, and analyzed to foster educational experiences at a massive scale. With the rise of massively-open online course platforms (MOOCs), there is a great need to understand how these infrastructure technologies can be used to facilitate open education at scale. Specifically, this project involves (1) implementing and conducting design experiments on the P2PU platform, to generate new knowledge about how to improve cyberinfrastructures for open learning; (2) collecting and analyzing data from the P2PU platform to contribute foundational knowledge of open learning dynamics and the issues open learning communities face; and (3) working with P2PU to create and share publicly available datasets, practices, and standards that will spur wider big-data driven research on cyberinfrastructures for learning and education.
Enabled by new cyber-infrastructure technologies, a rapidly developing family of "massively open online courses" (MOOCs) hold the potential to make interactive educational experiences available at massive scale. At the same time, researchers, educators, and policy makers are increasingly interested in the potential for big-data driven learning-analytics, to transform how educational experiences are designed, deployed and evaluated. Together, these trends present several cyberinfrastructure challenges that will be explored in this project:
-- How should MOOC platforms be designed, deployed and evaluated? What design features support appropriate types of learner engagement? How do features, such as badges and group recommendations, facilitate meaningful involvement?
-- How can developing MOOC platforms be used to meet the growing needs for cyberinfrastructure skills education and workforce development? Do MOOCs provide a suitable platform for building the technical, managerial, and scientific skills necessary to use and support emerging cyberinfrastructures?
-- What cyberinfrastructure is needed to support high-impact, data-driven learning-analytics research? What data standards and practices are necessary to support studies of open communities for education and learning?
MOOC platforms have significant potential to increase the accessibility of STEM training, and of education more generally. Understanding open platforms such as P2PU also has the potential to broaden the population of individuals and institutions that can participate in the creation and design of open education experiences. This project will help us better to understand a rapidly emerging, highly disruptive example of cyberinfrastructure (MOOC platforms). The project will thus contribute to multiple research agendas in such fields as: computer-supported collaborative learning (CSCL); human-computer interaction (HCI); virtual and online communities; and, more generally, information systems, and organization science. The measures, standards, and practices pioneered in this project will also significantly accelerate the development of data-driven research and learning-analytics techniques suitable for the design, management, evaluation and improvement of the nation's growing educational cyber-infrastructure.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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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.
While much has been said about the potential of Massive Open Online Courses (or MOOCs) over the past several years, less attention has been given to the true costs and challenges of creating viable, effective MOOCs. While there have been numerous high profile successes involving ten's of thousands of students, these cases have all orignated from institutions that have substantial resources to draw on.
The goal of the UMD-P2PU project was to better understand, and ultimately reduce, the costs and challenges associated with creating effective MOOCs, and in doing so increase the number and diversity of organizations and people that can create and run MOOCs.
The results of the UMD-P2PU project include a publically available dataset describing the courses and actiivity on the P2PU Open MOOC platform and a series of peer-reviewed research papers modelling critical participant dynamics and describing central design challenges associated with MOOC creation. The findings and results of the project have also informed design changes to the core P2PU platform (a publically available MOOC hosting system) and P2PU "Course-in-a-box", a collection of tools and materials designed to faciliate the creation of MOOCs by individuals and organizations that do not have extensive technology support or expertise in house.
These results, findings, and publications serve to both advance our general understanding of how MOOCs function (or fail) and to make the power of MOOCs more widely available.
Last Modified: 02/10/2016
Modified by: Brian S Butler
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