Database Team
Team Members: Nadirah Cogbill, Patrina Bly, and Robyn Evans
Team Mentor: Jeff Wood
Key Words: HTML5, MySQL, Mobile Web App, PHP, and Web App
Website: http://nia.ecsu.edu/ur/1112/teams/database/index.html

Abstract
The Elizabeth City State University is a rural, Historically Black College/University (HBCU) located in Northeastern North Carolina. The campus is easily located through the use of the Google Maps software at http://maps.google.com/, but the identification and location of buildings within the campus has not been undertaken. This project will start with building a database of buildings along with their geographic location, history, departments/programs, and other interesting facts. The database and entry form will be built in MySQL on a PHP server allowing participants to enter data from anywhere Internet access is available. This project will then research applying this data to the Google Maps site to provide labeling and information to users. The database and information will be made available through a traditional web site and a mobile site using HTML5 and be used in conjunction with a mobile web app being developed by a second research team. This project will form the basis for future projects integrating water testing, ice depth visualization, and other projects requiring visualization of data.

Title: Race to the Top: Five-Year View of Math Sprint Competition at Camelot Elementary School 2005-2010
Team Members: Michael Austin, Nadirah Cogbill, Yo'Shante Bridgers
Team Mentor: Dr. Darnell Johnson, Mr. Brian Jordan, Mr. Kaiem Frink
Key Words: AYP, Math Sprint, SOL
Website: http://nia.ecsu.edu/ur/1011/teams/math/research.html

Abstract
Given Virginia's Standards of Learning (SOL) (1995) mandates, Virginia's elementary teachers and school leaders utilized research for teaching methods that encouraged gains on the end of course mathematics tests. The relationship between teacher motivation methods and student achievement on Virginia's End of Course SOL Test for elementary deserves investigation. Camelot Elementary School is a Title I school housing high concentrations of minority students who normally achieve lower test score gains than students in other district and state schools. Camelot has a student population receiving at least seventy percent free and reduced lunch nested in a low middle class neighborhood in Chesapeake, Virginia.
This research was based on school effectiveness by developing and testing hypotheses about the specific relationships between student competition and statewide testing results in elementary mathematics for grades three, four, and five at Camelot Elementary School in Chesapeake, Virginia. The study compiled data from the "Math Sprint Competition", a series of student group related reviews of state released test items in a math test relay format. Research focused on methods for motivating a group of students motivated by the use of a math sprint competition from 2005 to 2010 to show achievement growth during the same time period. Students must maintain an annual pass rate in mathematics to meet Annual Yearly Progress (AYP) as recommended by the national "No Child Left Behind Act" of 2001. Student learning activities were compared from teaching methods that included: direct instruction, problem-based learning, technology aided instruction, cooperative learning, manipulative, models, and multiple representations, communication, and study skills.
A cohort of twenty mathematics teachers from Camelot Elementary School participated in this research to ascertain how frequently they used research-based teaching methods and determined the influence of teaching methods on their students' achievement. A multiple regression analysis was used to show results from a 40-item statewide test for each grade level. Individual Pearson Product Moment Correlations were conducted to determine which variables possess strong and statistically significant relationships. This analysis determined if gains on the end of the year SOL mathematics scores were a result of an impact of the series of math sprint competitions used as motivators before each benchmark assessment leading to the SOL tests in 3rd, 4th, and 5th grade mathematics.

Title: Evaluation of Cloud Storage for Preservation and Distribution of Polar Data.
Team Members: Nadirah Cogbill, JerNettie Burney, Robyn Evans, Michael Austin
Team Mentor: Marlon Pierce, Yu (Marie) Ma, Xiaoming Gao, and Jun Wang
Key Words: Amazon S3, EC2, SQS, Bucket, Regions, Cloud Computing
Poster

Abstract
The team goal was to find a service that could both store large amounts of data that Polar Grid has collected, and also be sure that the data will be preserved for researchers of the future to continue to use the data. For this reason, the team looked to a cloud storage service for the solution. Cloud storage is the storing of data that is accessible as a service by the use of a network. In this case, the team decided to research online storage using Amazon Web Services (AWS) and researched what AWS was, how reliable it was, how much data could be stored, and if data would be lost over an extended period of time. AWS is a cloud computing platform that is offered by Amazon.com that is made up of different computing services that are also known as web services. Within AWS, there is a service called the Simple Storage Service (S3) that is a user-friendly way of storing data over the Internet. The project shifted to investigate more about what is S3 and if it provided the services needed to aid PolarGrid. There were questions pertaining to S3 that the group researched. One of the questions was the guarantee of the reliability that S3 mentioned in their Service Level Agreement, which is the service terms promised to the user. Also, there was mentioning of a "durability" guarantee of the service by 99.9999999%. What did Amazon mean by "durability"? What does that percentile guarantee? Is that percentile guaranteed over a lifetime or only a few days? What is the likelihood of losing irreplaceable field data over various time scales (years, decades, and longer)? Financially, the group was to investigate how cost efficient it would be for Polar Grid to use this service. Polar Grid uses 26 Terabytes and over 300,000 files, and it was the duty of the group to investigate how Polar Grid would be charged. Would be for how much data will be stored, how much time the data will be stored in this service, or both. For this project, the aim of the group was to have these questions answered so that Polar Grid may have a secure place to store its mounds amount of data.

Title:Research and Implementation of Data Submission Technologies in Support of CReSIS Polar and Cyberinfrastructure Research Projects at Elizabeth City State University
Team Members: Nadirah Cogbill, Matravia Seymore
Team Mentor: Jeff Wood
Key Words: Data Submission, Forms, CReSIS, Polar Research, Dreamweaver, MySQL, PHP, Adobe LiveDesign, Google Doc
Website: http://nia.ecsu.edu/ur/0910/teams/mmt/Index.html

Abstract
The Center of Excellence in Remote Sensing Education and Research (CERSER) on the campus of Elizabeth City State University often has a requirement for the collection of information from various individuals and institutions in support of the CReSIS and Cyberinfrastructure research projects. This information may be of a general nature such as registrations or surveys, but may also contain sensitive information such as Social Security numbers. The 2009-2010 Multimedia Team implemented procedures for the development of online and print data collection methods. Three different approaches were utilized to construct general data submission forms and implement them on web servers utilized by CERSER. Web-based forms were created using Adobe Dreamweaver CS4, phpMyAdmin, Google Docs, and PHP. Printable forms were produced using Adobe LiveCycle Designer. This investigation also researched the requirements and procedures required to develop a secure server for the collection of sensitive data. The implementation of a secure server will be taken up by a future research team.