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Deep Learning Based Imbalanced Data Classification and Information Retrieval for Multimedia Big Data
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
Escorcia, Dyanne; Passerault, Jean-Michel; Ros, Christine; Pylouster, Jean – Metacognition and Learning, 2017
We studied the processes involved in synthesis writing, focusing on planning, editing and self-regulation strategies. The aims of the study were a) to analyse the temporal distribution of cognitive strategies and self-regulation across the different phases of writing, b) to identify different writing approaches (i.e., profiles), and c) to…
Descriptors: College Students, Humanities, Writing (Composition), Synthesis
Froelich, Amy G.; Stephenson, W. Robert – Teaching Statistics: An International Journal for Teachers, 2013
This article presents activities appropriate for the first half of a general introductory statistics course. All activities revolve around the same data set collected early in the course. The activities require students to make decisions about how they should proceed. (Contains 2 tables and 5 figures.)
Descriptors: Statistics, Introductory Courses, Active Learning, Teaching Methods
Tekin, Ahmet – Eurasian Journal of Educational Research, 2014
Problem Statement: There has recently been interest in educational databases containing a variety of valuable but sometimes hidden data that can be used to help less successful students to improve their academic performance. The extraction of hidden information from these databases often implements aspects of the educational data mining (EDM)…
Descriptors: Foreign Countries, Prediction, Grade Point Average, Undergraduate Students
Özoglu, Murat – Educational Sciences: Theory and Practice, 2015
This study investigates the issue of mobility-related teacher turnover in Turkey through both quantitative and qualitative methods. The quantitative findings derived from descriptive and correlational analyses of countrywide teacher-assignment and transfer data indicate that a high rate of mobility-related turnover is observed in the…
Descriptors: Foreign Countries, Faculty Mobility, Labor Turnover, Experienced Teachers
Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Lipscomb, Stephen; Chiang, Hanley; Gill, Brian – Mathematica Policy Research, Inc., 2012
The Commonwealth of Pennsylvania plans to develop a new statewide evaluation system for teachers and principals in its public schools by school year 2013-2014. To inform the development of this evaluation system, the Team Pennsylvania Foundation (Team PA) undertook the first phase of the Pennsylvania Teacher and Principal Evaluation…
Descriptors: Academic Achievement, Models, Outcomes of Education, Teacher Evaluation
Lipscomb, Stephen; Chiang, Hanley; Gill, Brian – Mathematica Policy Research, Inc., 2012
The Commonwealth of Pennsylvania plans to develop a new statewide evaluation system for teachers and principals in its public schools by school year 2013-2014. To inform the development of this evaluation system, the Team Pennsylvania Foundation (Team PA) undertook the first phase of the Pennsylvania Teacher and Principal Evaluation…
Descriptors: Academic Achievement, Models, Outcomes of Education, Teacher Evaluation
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 3, Mathematics Education
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 5, Mathematics Education
Remer, Rory; Burton, Nancy – 1971
The relative precision of four methods of estimating missing data in principal components analysis was investigated. Artificial data with known characteristics, obtained from Cattell's "Plasmode: 30-10-4-2," was used with one third of the data on half of the variables being systematically eliminated. The four methods of missing data estimation…
Descriptors: Comparative Analysis, Computation, Correlation, Data Analysis
Peer reviewedNorwood, Karen S.; Coston, Yvonne M. – Arithmetic Teacher, 1993
Describes four activities for grade levels K-3, 4-5, and 6-8 and for the family that explore statistical concepts using a manipulative familiar to students-SKITTLES candies. Concepts explored include frequency graphs, data collection and analysis, probability, measures of central tendency, averaging, and correlation coefficients. Includes…
Descriptors: Computation, Cooperative Learning, Correlation, Data Analysis
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries

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