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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
Warick, Carrie – National College Access Network, 2018
Each year, there are millions of students nationwide who are selected for this audit-like process after completing their Free Application for Federal Student Aid (FAFSA). In fact, over half of Pell Grant-eligible FAFSA applicants were selected for verification for the 2016-17 FAFSA filing cycle. That's over 5.4 million students who spent hours…
Descriptors: Federal Aid, Student Financial Aid, Audits (Verification), Financial Aid Applicants
Bolat, Mualla – Journal of Education and Training Studies, 2016
The purpose of this study is to develop and assess a model aimed at teaching astronomy to deaf students. Thus, a 7 day-long project of indoor and outdoor activities was developed. Since the purpose of our study was to teach astronomy to deaf students, our sample was determined by using purposeful sampling technique. The sample of this study…
Descriptors: Astronomy, Teaching Methods, Deafness, Science Instruction
Kern, Holger L.; Stuart, Elizabeth A.; Hill, Jennifer; Green, Donald P. – Journal of Research on Educational Effectiveness, 2016
Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…
Descriptors: Educational Research, Generalization, Sampling, Participant Characteristics
Dey, Anindita; Ghosh, Paromita – International Journal of Art & Design Education, 2016
The investigation probed relationships among human-figure drawing, field-dependent-independent cognitive style and self-esteem of 10-15 year olds. It also attempted to predict human-figure drawing scores of participants based on their field-dependence-independence and self-esteem. Area, stratified and multi-stage random sampling were used to…
Descriptors: Freehand Drawing, Correlation, Cognitive Style, Self Esteem
Mubarik, Shujaat; Chandran, V. G. R.; Devadason, Evelyn S. – Learning Organization, 2016
Purpose: This study aims to examine the influence of relational capital quality on client loyalty, comprising both behavioral and attitudinal, in the pharmaceutical industry of Pakistan. Design/methodology/approach: The partial least squares technique is used to test the relationship using a sample of 111 pharmaceutical firms. We applied a…
Descriptors: Foreign Countries, Industry, Pharmacology, Behavior
Culbertson, Michael J.; Billig, Shelley H. – Regional Educational Laboratory Central, 2016
Rural districts have long faced challenges in closing achievement gaps between subgroups of students. This brief report describes key decision points and considerations for decision-makers interested in identifying rural districts that have closed academic achievement gaps. Examining practices in these districts may suggest activities associated…
Descriptors: Rural Schools, School Districts, Academic Achievement, Achievement Gap
Esen-Aygun, Hanife; Sahin-Taskin, Cigdem – Journal of Education and Practice, 2017
This research aimed to understand primary teachers' views of primary teachers' social-emotional learning and social-emotional learning programs in Turkey. Findings revealed that although most of the teachers had heard of the concept of social-emotional learning, they could not give a detailed explanation of it. Additionally, most of them were not…
Descriptors: Teacher Attitudes, Social Development, Emotional Development, Program Effectiveness
Lucassen, Mathijs F. G.; Fleming, Theresa M.; Merry, Sally N. – Journal of LGBT Youth, 2017
Researchers often experience difficulties recruiting hard-to-reach populations. This is especially so for studies involving those who have been historically stigmatized, such as individuals who challenge heteronormative expectations or people who experience mental ill health. The authors aimed to obtain the views of sexual minority adolescents (n…
Descriptors: Research Methodology, Social Bias, Participation, Sampling
Tangwanichagapong, Siwaporn; Nitivattananon, Vilas; Mohanty, Brahmanand; Visvanathan, Chettiyappan – International Journal of Sustainability in Higher Education, 2017
Purpose: This paper aims to describe the effects of 3R (reduce, reuse and recycle) waste management initiatives on a campus community. It ascertains the environmental attitudes and opinions of the residents and investigates their behavioral responses to waste management initiatives. Practical implications for enhancing sustainable waste management…
Descriptors: Campuses, Environmental Education, Foreign Countries, Sanitation
Sullivan, Patricia A. – ProQuest LLC, 2017
The purpose of this research was to investigate the relationship between leaders' self-awareness and their effectiveness. The population included leaders with at least five years of experience in a leadership role. Participants were recruited by snowball sampling methods; the researcher used a diverse network of professionals to recruit other…
Descriptors: Metacognition, Leadership Effectiveness, Leadership Styles, Measures (Individuals)
Doroudi, Shayan; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2017
The gold standard for identifying more effective pedagogical approaches is to perform an experiment. Unfortunately, frequently a hypothesized alternate way of teaching does not yield an improved effect. Given the expense and logistics of each experiment, and the enormous space of potential ways to improve teaching, it would be highly preferable if…
Descriptors: Teaching Methods, Matrices, Evaluation Methods, Models
Pustejovsky, James Eric – AERA Online Paper Repository, 2017
Methods for meta-analyzing single-case designs (SCDs) are needed in order to inform evidence based practice in special education and to draw broader and more defensible generalizations in areas where SCDs comprise a large part of the research base. The most widely used outcomes in single-case research are measures of behavior collected using…
Descriptors: Effect Size, Research Design, Meta Analysis, Observation
Eid, Michael; Koch, Tobias – Measurement: Interdisciplinary Research and Perspectives, 2014
Higher-order factor analysis is a widely used approach for analyzing the structure of a multidimensional test. Whenever first-order factors are correlated researchers are tempted to apply a higher-order factor model. But is this reasonable? What do the higher-order factors measure? What is their meaning? Willoughby, Holochwost, Blanton, and Blair…
Descriptors: Factor Analysis, Measurement, Theories, Executive Function
Zu, Jiyun; Puhan, Gautam – Journal of Educational Measurement, 2014
Preequating is in demand because it reduces score reporting time. In this article, we evaluated an observed-score preequating method: the empirical item characteristic curve (EICC) method, which makes preequating without item response theory (IRT) possible. EICC preequating results were compared with a criterion equating and with IRT true-score…
Descriptors: Item Response Theory, Equated Scores, Item Analysis, Item Sampling

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