Beginning science teacher cognition and its origins in the preservice secondary science teacher program

The objectives of this study were to (a) identify the major tenets of a preservice secondary science education program as expressed by science education faculty, (b) identify knowledge structures that beginning secondary science teachers have constructed about the teaching and learning of science, and (c) identify the correlatives that exist between the first two objectives. The study was grounded in the postulates of teacher cognition in that teachers construct their own schema from their experiences in order to comprehend, plan for, and respond to the dynamics of their classroom. This qualitative study consisted of interviews and observations of beginning science teachers, interviews with science education faculty, and an analysis of the course syllabi of that faculty. Methods of single and cross-case analytic induction were combined to analyze the data. Based on the data, it may be concluded that aspects of the program, such as student-centered learning, cooperative learning, general pedagogical knowledge, and pedagogical content knowledge, were adopted into the schema of the beginning teachers; the degree of adoption appeared to be linked to the individual's most significant learning experiences and the constraints of the school situation. © 1997 John Wiley & Sons, Inc. J Res Sci Teach 34: 633–653, 1997.     

Classroom Attrition in Computer Science

Students drop out of university courses for a multitude of reasons. Whatever the cause, the costs of an unsuccessful attempt to complete a course are significant to student and university alike. This paper examines student attrition in computer science classes with the hope of identifying common causes and ultimately reducing the number of students dropping computer science courses. Survey data were analyzed to determine if reasons for dropping differed for various groupings of students including undergraduate/graduate, male/female, computer science major/non‐major, and service/non‐service courses.     

Path analysis and residual plotting as methods of environmental scanning in higher education: An illustration with applications and enrollments

In this study we propose using path analysis and residual plotting as methods supporting environmental scanning in strategic planning for higher education institutions. As an illustration, path models of three levels of independent variables, that is, socioeconomic background, current economic variables, and educational variables, are developed. The dependent variables measuring applications and enrollments at a research university, Virginia Tech, and enrollments at four-year institutions in Virginia are regressed on the independent variables. The residuals from the multiple regression models are plotted on the county maps of Virginia to identify the geographic regions in which the applications and enrollments at Virginia Tech and the enrollments in colleges and universities of Virginia are higher or lower than expected according to the models. The implications of the variables in the models and the geographic distributions of residuals for strategic planning decisions are discussed.     

Colour vision in animals

The nature of human colour vision has been the subject of much research, and is generally well understood. By contrast, relatively little is known about colour vision in animals. This partly reflects experimental problems for it is difficult to know whether an animal is responding to a colour cue or to some other external stimulus. This article review current knowledge about colour vision in vertebrates.