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Awaida, Sameh M.; Mahmoud, Sabri A. – Educational Research and Reviews, 2012
In this paper we present the state of the art in writer identification and verification of handwritten text. In addition, a special and extensive survey of writer identification and verification of Arabic handwritten text is also included. Different feature extraction techniques are addressed showing the different research groups' efforts as well…
Descriptors: Authors, Identification, Handwriting, Evaluation Methods
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Wright, Hazel R. – Cambridge Journal of Education, 2012
Empirical research focused on women studying childcare in an English further education college found the participants strangely contented despite demanding lifestyles. They were intent on integrating their family, work and educational commitments rather than actively seeking future gain, an understanding that led to the development of an original…
Descriptors: Foreign Countries, Educational Research, Adult Education, Females
Whitehurst, Grover J.; Chingos, Matthew M.; Gallaher, Michael R. – Brookings Institution, 2013
School districts occupy center stage in education reform in the U.S. They manage nearly all public funding and are frequently the locus of federal and state reform initiatives, e.g., instituting meaningful teacher evaluation systems. Financial compensation for district leaders is high, with many being paid more than the chief state school officers…
Descriptors: School Districts, Superintendents, Academic Achievement, Influences
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
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Nosofsky, Robert M.; And Others – Psychological Review, 1994
A rule-plus-exception model (RULEX) of classification learning is proposed. According to RULEX, people learn to classify objects by forming simple logical rules and remembering occasional exceptions to these rules. Because the learning process is stochastic, people will vary in the rules formed and exceptions stored. (SLD)
Descriptors: Classification, Individual Differences, Learning, Logical Thinking
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Ellis, Ann E.; Oakes, Lisa M. – Developmental Psychology, 2006
A sequential-touching task was used to investigate whether 14-month-old infants can rapidly change how they categorize a set of objects, recognizing new groupings of objects they had previously categorized in a different way. When presented with a collection of objects that could be categorized by shape (balls vs. blocks) or material (soft vs.…
Descriptors: Infants, Classification, Sequential Approach, Dimensional Preference