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Radwin, David; Hensley, Elisabeth – College Board Advocacy & Policy Center, 2012
The implementation of the Common Core State Standards (CCSS) over the coming years will provide an opportunity for K-12 and postsecondary educators to share and use data effectively to support alignment between the sectors and reduce the need for remedial education. This brief describes how these groups can work together to make the most of data…
Descriptors: Elementary Secondary Education, State Standards, Alignment (Education), Incidence
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
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Valencia-Garcia, Rafael; Garcia-Sanchez, Francisco; Casado-Lumbreras, Cristina; Castellanos-Nieves, Dagoberto; Fernandez-Breis, Jesualdo Tomas – Behaviour & Information Technology, 2012
The advent of Web 2.0, also called the Social Web, has changed the way people interact with the Web. Assisted by the technologies associated with this new trend, users now play a much more active role as content providers. This Web paradigm shift has also changed how companies operate and interact with their employees, partners and customers. The…
Descriptors: Web Sites, Informal Education, Electronic Publishing, Semantics
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Tanes, Zeynep; Arnold, Kimberly E.; King, Abigail Selzer; Remnet, Mary Ann – Computers & Education, 2011
Feedback is a crucial form of information for learners. With the availability of new educational technologies, the manner in which feedback is delivered has changed tremendously. Existing research on the learning outcomes of the content and nature of computer mediated feedback is limited and contradictory. "Signals" is an educational data-mining…
Descriptors: Feedback (Response), Curriculum Development, Educational Technology, Content Analysis
Southern Regional Education Board (SREB), 2015
The Southern Regional Education Board (SREB)-State Data Exchange is a one-of-a-kind regional program with 23 statewide higher education governing and coordinating board partners. The Data Exchange annually collects, compiles, and publishes: (1) the most current and detailed comparative statistics on postsecondary education in the 16 SREB states;…
Descriptors: Consortia, Clearinghouses, Regional Programs, Data Collection
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Lee, In Heok – Career and Technical Education Research, 2012
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Descriptors: Vocational Education, Data Collection, Maximum Likelihood Statistics, Educational Research
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Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
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Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue – Journal of Information Systems Education, 2012
The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…
Descriptors: Computers, Schools, Foreign Countries, Computer Science
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Powell, Cynthia B.; Mason, Diana S. – Journal of Science Education and Technology, 2013
Chemistry instructors in teaching laboratories provide expert modeling of techniques and cognitive processes and provide assistance to enrolled students that may be described as scaffolding interaction. Such student support is particularly essential in laboratories taught with an inquiry-based curriculum. In a teaching laboratory with a high…
Descriptors: Cognitive Processes, Outcome Measures, Chemistry, Statistical Analysis
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Grover, Lovleen Kumar; Mehra, Rajni – Journal of Statistics Education, 2008
The field of Data Mining like Statistics concerns itself with "learning from data" or "turning data into information". For statisticians the term "Data mining" has a pejorative meaning. Instead of finding useful patterns in large volumes of data as in the case of Statistics, data mining has the connotation of searching for data to fit preconceived…
Descriptors: Statistics, Data Processing, Differences, Mathematics Education
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Boyer, Kristy Elizabeth; Phillips, Robert; Ingram, Amy; Ha, Eun Young; Wallis, Michael; Vouk, Mladen; Lester, James – International Journal of Artificial Intelligence in Education, 2011
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…
Descriptors: Markov Processes, Intelligent Tutoring Systems, Tutoring, Program Effectiveness
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D'Allegro, Mary Lou; Kerns, Stefanie – Journal of College Student Retention: Research, Theory & Practice, 2011
Data mining and statistical analyses at a less selective institution reveal that the relationships between parents' educational level and some first year success indicators are not linear. Specifically, students who report that either parent or guardian(s) have an educational level beyond a baccalaureate degree or do not report parent education…
Descriptors: First Generation College Students, Educational Attainment, Data Processing, Pattern Recognition
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Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
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Banta, Trudy W., Ed. – Assessment Update, 2012
This issue of "Assessment Update" presents the following articles: (1) Expectations for Assessment Reports: A Descriptive Analysis (Keston H. Fulcher, Matthew Swain, and Chris D. Orem); (2) Editor's Notes: A Surprising Reaction (Trudy W. Banta); (3) Getting SMART with Assessment: ACTION Steps to Institutional Effectiveness (Eric Daffron…
Descriptors: Higher Education, Educational Practices, Educational Trends, Educational Development
West, Darrell M. – Brookings Institution, 2012
Twelve-year-old Susan took a course designed to improve her reading skills. She read short stories and the teacher would give her and her fellow students a written test every other week measuring vocabulary and reading comprehension. A few days later, Susan's instructor graded the paper and returned her exam. The test showed that she did well on…
Descriptors: Data Processing, Internet, Pattern Recognition, Data Analysis
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