This study investigated the relations among preservice elementary teachers’ ideas about evolution, their understanding of basic science concepts and college science coursework. Forty-two percent of 240 participants did not accept the theory of human evolution, but held inconsistent ideas about related topics, such as co-existence of humans and dinosaurs and plate tectonics. Accepting the theory...

Computer-based teachable agents are a promising compliment to classroom instruction. However, little is known about how children think about these artificial agents. In this study, we investigated children’s concepts about the intentionality of a software agent they had interacted with and tested whether these concepts would change in response to exposure to the agent. We also tested whether in...

INTRODUCTION If climate change is the 21st Century's biggest public health threat, research faces the major challenge of providing adequate evidence for vulnerable communities to adapt to the health effects of climate change. Available information about best practice in climate adaptation suggests it is inclusive of socio-economic disadvantage and local community factors such as access to healt...

Climate is one of the most important factors that influence the quality and quantity of crops. Understanding the natural features of any region, especially about the climate, can play a major role in making plans and land use planning. Sugar beet, is one of the major industrial plants, that in addition to producing one of the most fundamental basic needs of society, namely sugar, it can have ot...

to present a multiple-instructor, active-learning strategy in the undergraduate medical curriculum. this educational research is a descriptive one. shared teaching sessions, were designed for undergraduate medical students in six organ-system based courses. sessions that involved in-class discussions of integrated clinical cases were designed implemented and moderated by at least 3 faculties (c...

Motivation Most problems in nature have several (possibly conflicting) objectives to be satisfied. Many of these problems are frequently treated as single-objective optimization problems by transforming all but one objective into constraints. What is a multiobjective optimization problem? The Multiobjective Optimization Problem (MOP) (also called multicriteria optimization, multiperformance or ...