eric.ed.gov har udgivet: The combined goals of recruiting and retaining effective teachers are often difficult to realize due to fluctuating student enrollments and class-size targets, teaching-load norms or requirements, and budgetary and resource constraints. While schools and districts market and recruit bright new teachers to the field, they too, struggle to maintain enticing career development standards that would retain the most effective teachers in the district. With the high turnover in schools, student achievement suffers. Teacher attrition has grown by 50% over the past fifteen years. The national teacher turnover rate has risen to 16.8%. In urban schools, it is over 20% and, in some schools and districts, the teacher dropout rate is actually higher than the student dropout rate. School districts fall into a chronic cycle of hiring and… Continue Reading →
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tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract This study investigated the influence of strategy training instruction and an extrinsic incentive on American fourth- and fifth-grade students’ (N = 35) performance, confidence in performance, and calibration accuracy. Using an experimental design, children were randomized to either an experimental group (strategy training and an extrinsic incentive) or a comparison group in an after-school Brain Train Club. Data on performance and confidence ratings were collected pretest and again at posttest. Accuracy was calculated by comparing confidence in performance to actual… Continue Reading →
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tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have deserved increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples and performance evaluation. The general problem of recognising complex pattern with arbitrary patterns with arbitrary orientation, location and scale remains unsolved. New and emerging application, such as data mining, web… Continue Reading →
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