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Werner, Linda; McDowell, Charlie; Denner, Jill – Journal of Educational Data Mining, 2013
Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…
Descriptors: Electronic Learning, Learning Processes, Educational Research, Data Collection
Weathers, Robert – School Business Affairs, 2013
The modern student information systems (SIS) is a powerful administrative tool with robust functionality. As such, it is essential that school and district administrators consider the top trends in modern student information systems before going forward with system upgrades or new purchases. These trends, described herein, are: (1) Support for…
Descriptors: Information Systems, School Districts, Data Collection, Telecommunications
Moore, Carol A.; Whittaker, Bob – New England Journal of Higher Education, 2013
A new and rigorous examination of cost structures on the academic side of colleges and universities is needed in order to continue increasing access and serve the historic role of educating future citizens and functioning as an economic driver of society. Only rethinking the development and delivery of the curriculum will address today's issue of…
Descriptors: Curriculum Development, Higher Education, Cost Effectiveness, Costs
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Gillette, Brandon; Leinmiller-Renick, Kelsey; Foga, Steve – Science Teacher, 2013
Understanding the behavior of ice sheets (thick, continent-size ice masses) and glaciers (smaller, flowing masses of ice) is increasingly important as our climate changes, particularly in the Polar Regions. This article describes two lessons, based on the 5E (engage, explore, explain, elaborate, and evaluate) model, that help students practice…
Descriptors: Science Instruction, Data Collection, Scientific Research, Climate
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Varisoglu, Behice; Sahin, Abdullah; Goktas, Yuksel – Educational Sciences: Theory and Practice, 2013
The purpose of this study was to determine trends in the subject areas, methods, data collection tools, data analysis methods, and sample types used in recent studies on Turkish education, published in journals from 2000-2011. A total of 558 articles from 44 journals were selected from databases by the purposive sampling method and examined using…
Descriptors: Foreign Countries, Educational Research, Research Methodology, Data Collection
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Sharratt, Lyn; Fullan, Michael – Journal of Staff Development, 2013
Education is overloaded with programs and data. The growth of digital power has aided and abetted the spread of accountability-driven data--Adequate Yearly Progress, test results for every child in every grade, Common Core standards, formative and summative assessments. Technology accelerates the onslaught of data. All this information goes for…
Descriptors: Data Collection, Faculty Development, Capacity Building, Academic Achievement
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Nackerud, Shane; Fransen, Jan; Peterson, Kate; Mastel, Kristen – portal: Libraries and the Academy, 2013
In Fall 2011, staff at the University of Minnesota Libraries-Twin Cities undertook a project to measure how often, and in what ways, students used the Libraries' services. Partnering with the University's Office of Institutional Research, the team investigated ways to match library service usage to individual accounts while retaining patron…
Descriptors: Library Services, Graduate Students, Institutional Research, Library Research
Polo, Blanca J. – ProQuest LLC, 2013
Much research has been done in regards to student programming errors, online education and studio-based learning (SBL) in computer science education. This study furthers this area by bringing together this knowledge and applying it to proactively help students overcome impasses caused by common student programming errors. This project proposes a…
Descriptors: Computer Science Education, Programming, Online Courses, Electronic Learning
Rodriguez, Jacinto – ProQuest LLC, 2013
This mixed method exploratory case study was used to explore the effect data overload has on project management, how data overload affects project management effectiveness, how prepared program office staff is to manage multiple projects effectively, and how the program office's organizational structure and data management systems affect project…
Descriptors: Knowledge Management, Program Administration, Public Agencies, Data Collection
Martha, VenkataSwamy – ProQuest LLC, 2013
Networks, such as social networks, are a universal solution for modeling complex problems in real time, especially in the Big Data community. While previous studies have attempted to enhance network processing algorithms, none have paved a path for the development of a persistent storage system. The proposed solution, GraphStore, provides an…
Descriptors: Networks, Information Storage, Graphs, Statistical Data
Koc, Levent – ProQuest LLC, 2013
With increasing Internet connectivity and traffic volume, recent intrusion incidents have reemphasized the importance of network intrusion detection systems for combating increasingly sophisticated network attacks. Techniques such as pattern recognition and the data mining of network events are often used by intrusion detection systems to classify…
Descriptors: Bayesian Statistics, Computer Security, Computer Networks, Data Collection
National Post-School Outcomes Center, 2013
Since 2004, U.S. states have collected information from former students with disabilities about their employment and further education activities in the first year after leaving high school. About one year after they leave school, young adults who had Individualized Education Programs (IEPs) are asked some very important questions: Are they…
Descriptors: Individualized Education Programs, High School Graduates, Graduate Surveys, School Districts
Visali, Videhi; Swami, Niraj – International Association for Development of the Information Society, 2013
Learning analytics can promote pedagogically informed use of learner data, which can steer the progress of technology mediated learning across several learning contexts. This paper presents the application of analytics to a mobile learning solution and demonstrates how a pedagogical sense was inferred from the data. Further, this inference was…
Descriptors: Telecommunications, Handheld Devices, Educational Research, Data Collection
Blakey, Gabriella Duran – ProQuest LLC, 2013
One of the most challenging aspects of being a school leader is the struggle to get the school staff to embark on school improvement initiatives. The culture of the school can be a powerful driver or a resister to our ability to move a school forward to increase student learning. New teachers struggle to understand the culture of the school along…
Descriptors: Acculturation, Teacher Attitudes, Beliefs, Academic Achievement
Texas Education Agency, 2013
The Texas Education Agency (TEA) prepares an annual report on graduates and dropouts in Texas public secondary schools. This report includes state summaries of the annual dropout rate, longitudinal graduation and dropout rates, and state attrition rates. In addition to statewide statistics, the report provides historical information about dropout…
Descriptors: Secondary School Students, Graduation Rate, Dropout Rate, Student Attrition
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