Policy‐making in a cuts culture

The financial constraints imposed upon local government over the past decade have forced many authorities to make savings rapidly and in conditions of considerable uncertainty. Education, as the largest spender and with falling pupil numbers, has often provided the bulk of these savings. In many authorities these have been made in an unplanned, piecemeal fashion and have seriously damaged the service. This paper considers the possibility of a ‘cuts culture’ in which continuing contraction is planned for as part of corporate policy. It raises important questions about the nature of schooling, the relationship between schools and the community and control over the financing of education. It suggests that a case might be made for substantial change, but not unbridled, insensitive reform. The importance of defending, as well as reforming the system is stressed, and the organizational implications of this are considered.     

SCHOOL PSYCHOLOGIST DIAGNOSTIC DECISION‐MAKING: A PILOT STUDY

The current study examined the diagnostic decision‐making of school psychologists as a function of a student's disability and academic performance with three research questions using a randomly‐selected sample of school psychologists from the state of Texas. Results from the first research question indicated that school psychologists significantly differentiated between what diagnoses were considered most correct according to the DSM‐IV and what diagnoses would be in a child's best interest at school. Results from the second research question indicated that this differentiation in diagnostic decision‐making was present as significantly associated with academic performance. Results from the third and final research question indicated that school psychologists differed in their diagnostic decision‐making according to their perceptions about the particular disability.     

Exploring university-based teacher educators’ teaching beliefs and practice: a Hong Kong study

This study explores two higher education-based language teacher educators’ teaching beliefs and how they implemented their beliefs in classroom practice. Drawing on data from in-depth interviews and classroom observation, the findings revealed the teacher educators’ multiple and complex beliefs, which were derived from their past experiences and continued to be shaped and transformed through their professional work. The study also shows that while the participants tried to act in accordance with their beliefs in their teaching of teachers, they encountered some contextual obstacles (e.g. the ‘publish-or-perish’ system) which resulted in the gap between their beliefs and practice. Through their continuous reflections and agentive work, the teacher educators tried to close the gap and facilitate their students’ learning to teach. This study concludes with some implications for current teacher education and higher education on how to promote language teacher educators’ cognitive learning and continuous development.     

Conceptualizing Magnification and Scale: The Roles of Spatial Visualization and Logical Thinking

This study explored factors that contribute to students’ concepts of magnification and scale. Spatial visualization, logical thinking, and concepts of magnification and scale were measured for 46 middle school students. Scores on the Zoom Assessment (an assessment of knowledge of magnification and scale) were correlated with the Test of Logical Thinking (TOLT) and a series of four spatial visualization tests. Results showed that the TOLT was significantly correlated with the Zoom Assessment. There was also a significant correlation between the TOLT and spatial visualization assessments MV1 (Shape Memory), MV2 (Building Memory), the Storage Test, and the Surface Development Test. The implications of this study for further research are discussed.     

Gifted students' individual differences in distance-learning computer-based calculus and linear algebra

We examine student performance in computer-based calculus and linear algebra courses offered by Stanford University to pre-college students of high mathematical ability. Our analysis puts special emphasis on modeling student performance over time and on capturing long-term trend effects. The sequential nature of students' responses to course exercises is characterized through the use of stochastic and nonlinear models. We find that student performance varies widely within this group for a variety of different measures, including error rates, times to completion, progress rates, and latency of response. In addition, we measure the informational efficiency of the courses through a Markov order analysis of student response sequences. For the performance measures studied, the 75th and the 25th percentile of sampled values differ by a factor of approximately two. We also find that there is little correlation among the performance measures, which suggests that student performance in this ability range may not be well characterized by any single performance measure or ability parameter.