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As the P-12 student landscape continues to grow in cultural and linguistic diversity, teacher preparation programs have yet to adequately prepare teacher candidates' teaching and learning skills in meeting the academic and socio-emotional needs of diverse student demographics. This article examines teacher candidates’ cultural competence and cultural responsiveness to enhance candidates' educator preparation and stimulate candidates' personal growth development as developing culturally and linguistically responsive new teachers. While many teacher preparation programs require one multicultural or diversity education course, the authors examine a minority serving institution's integration of a cultural immersion experience for teacher candidates as one way of supporting their development as culturally and linguistically sustaining pedagogues. This paper aims at supporting school districts' need of culturally competent new teachers who have the content knowledge and pedagogy to teach and support culturally and linguistically diverse children. Recognizing this need, this qualitative analysis highlights the importance of and a need for cultural and linguistic competence among teacher candidates. Findings from this study provides a means by which universities can implement cross-cultural coursework and field-based experiences to prepare culturally responsive teacher candidates.

Partitioned analysis is an increasingly popular approach for modeling complex systems with behaviors governed by multiple, interdependent physical phenomena. Yielding accurate representations of reality from partitioned models depends on the availability of all necessary constituent models representing relevant physical phenomena. However, there are many engineering problems where one or more of the constituents may be unavailable because of lack of knowledge regarding the underlying principles governing the behavior or the inability to experimentally observe the constituent behavior in an isolated manner through separate-effect experiments. This study aims to enable partitioned analysis in such situations with an incomplete representation of the full system by inferring the behavior of the missing constituent.

This paper presents a statistical method for inverse analysis infer missing constituent physics. The feasibility of the method is demonstrated using a physics-based visco-plastic self-consistent (VPSC) model that represents the mechanics of slip and twinning behavior in 5182 aluminum alloy. However, a constituent model to carry out thermal analysis representing the dependence of hardening parameters on temperature is unavailable. Using integral-effect experimental data, the proposed approach is used to infer an empirical constituent model, which is then coupled with VPSC to obtain an experimentally augmented partitioned model representing the thermo-mechanical properties of 5182 aluminum alloy.

Results demonstrate the capability of the method to enable model predictions dependent upon relevant operational conditions. The VPSC model is coupled with the empirical constituent, and the newly enabled thermal-dependent predictions are compared with experimental data.

The method developed in this paper enables the empirical inference of a functional representation of input parameter values in lieu of a missing constituent model. Through this approach, development of partitioned models in the presence of uncertainty regarding a constituent model is made possible.

Salford based paint manufacturer, Granyte Surface Coatings plc, has announced several key board changes, took effect from 1st June. Having attained the age of 60yrs, William Junner will retire as managing director, continuing as executive chairman with speical responsibility for overseas development and acquisitions strategy. His previous role will be undertaken by Gordon Hall, the present Group sales director. That position, in turn, will be filled by the current Southern area sales manager, Brian Williams.