Noncognitive factors and performance predictions

Behavioral Genetics of Noncognitive Factors A Behavioral Genetic Perspective on Noncognitive Factors and Academic Achievement

DataShopping for Performance Predictions

Mathematical models of learning have been created to capitalize on the regularities that are seen when individuals acquire new skills, which could be useful if implemented in learning management systems. One such mathematical model is the Predictive Performance Equation (PPE). It is the intent that PPE will be used to predict the performance of individuals to inform real-world education and tra...

proficiency level and factors fostering reticence in efl learners

according to cheng (1999), in recent esl/efl literature, asian (especially east asian) learners of english as a foreign/second language have been arguably reported as reticent and passive learners. the most common allegations are that these students are reluctant to participate in classroom discourse; they are unwilling to give responses; they do not ask questions; and they are passive and over...

College Performance Predictions and the SAT

The methods used in most SAT validity studies cannot be justified by any sample selection assumptions and are uninformative about the source of the SAT’s predictive power. A new omitted variables estimator is proposed; plausibly consistent estimates of the SAT’s contribution to predictions of University of California freshman grade point averages are about 20% smaller than the usual methods imp...

Semi-Empirical Multiprocessor Performance Predictions

This paper presents a multiprocessor performance prediction methodology supported by experimental measurements, which predicts the execution time of large application programs on large parallel architectures based on a small set of sample data. We propose a graph model to describe application program behavior. In order to precisely abstract an architecture model for the prediction, important an...