Attracting and retaining competent teachers is a key concern when it comes to managing the supply and demand for teachers. This article examines the motivation that prompts people to enter or leave the teaching profession with the aim of identifying a decision framework for defining teacher policies. The results are based on the teacher workforce planning system put in place by the Education Department of the Swiss Canton of Geneva. Having identified the most influential factors affecting teacher motivation, we rated these with regard to their responsiveness to policy measures in a bid to identify levers for deriving effective teacher policies. This decision framework highlights three main issues to serve as a focus for policy measures—the characteristics of the job activities, working conditions and professional image. Finally, priority policy measures have been derived from motivational inducement systems, which include task, leadership, reward, professional development and social systems.
An approach to automatic detection of syllable boundaries is presented. We demonstrate the use of several manually constructed grammars trained with a novel algorithm combining the advantages of treebank and bracketed corpora training. We investigate the effect of the training corpus size on the performance of our system. The evaluation shows that a hand-written grammar performs better on finding syllable boundaries than does a treebank grammar.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.