The expertise reversal effect occurs when learner's expertise moderates design principles derived from cognitive load theory. Although this effect is supported by numerous empirical studies, indicating an overall large effect size, the effect was never tested by inducing expertise experimentally and using instructional explanations in a…

The purpose of this research was to determine what types of reading strategies prospective English Teachers used to accomplish in their reading assignments and activities. The study was conducted at a state-run University, English Language Teaching Department in Turkey. The participants were 130 prospective English Teachers majoring English…

Purpose: This paper seeks to analyse the effectiveness and impact of how Google currently trains its new software engineers ("Nooglers") to become productive in the software engineering community. The research focuses on the institutions and support for practice-based learning and cognitive apprenticeship in the Google environment.…

Back in the 1990s Malcolm Coulthard announced the beginnings of an emerging discipline, "forensic linguistics", resulting from the interface of language, crime and the law. Today the courts are more than ever calling on language experts to help in certain types of cases, such as authorship identification, plagiarism, legal interpreting…

This guide to the discovery, analysis, production, communication, and use of statistical information through graphic forms produced by a computer is designed to enable researchers to conduct their analyses and report research results more effectively. It is designed both for individuals with little knowledge about the use of statistical graphs or…

This paper looks at bugs and errors in the following commonly used statistical packages: SAS, Statistical Package for the Social Sciences (SPSS), Biomedical Data Plan (BMDP), and Minitab. A section on using the Internet to keep up to date on these packages covers subscribing to statistical software lists, searching statistical software lists,…

Generalizability theory is based upon analysis of variance (ANOVA) and requires estimation of variance components for the ANOVA design under consideration in order to compute either G (Generalizability) or D (Decision) coefficients. Estimation of variance components has a number of alternative methods available using SAS, BMDP, and ad hoc…