College/University Counseling Centers Supporting Study Away: Challenges and Opportunities

Research points to significant numbers of students on college campuses experiencing mental health distress and an ever increasing number of college students who are choosing to make an off-campus educational experience a part of their college careers. When we consider both of these trends together, it is quite apparent that a significant number of students with mental health concerns will spend periods of time studying away from campus, with converging concerns among college mental health and study away professionals about how to best support these students. This article seeks to outline both challenges and opportunities inherent in the collaboration between campus professionals in supporting students with mental health issues before and during their study away experiences.     

Exploring the challenges experienced by international students during work-integrated learning in Australia

This study explores the challenges experienced by international students during Work Integrated Learning (WIL) in Australia. Student participation in WIL not only enhances individual student employability but also the attractiveness of Australia as a study destination. WIL, in particular work placements, is in high demand by international students who seek to gain relevant experience in their host country and increase their chances of employment post-study. Data were gathered from employers, academics and students on the challenges faced by international students during the WIL experience and how WIL is currently being managed for the international cohort. Stakeholders identified a number of challenges which impact on student performance and the success of their WIL experience. These include cultural differences, inflated expectations, difficulties managing assessment tasks, relatively weak language skills and an imbalance in the support needed by international students in comparison to what is on offer. Stakeholder strategies to manage these challenges are discussed.     

“Students Get What Flows Downward”: District Leaders’ Rationalizations of the Standardized Testing of Children

What do students stand to gain from high-stakes, standardized testing? We consider answers to this question from the perspective of urban district leaders tasked with designing and overseeing the implementation of standardized testing policies. Results revealed variation in leaders’ framing of and rationale for standardized testing with respect to benefits for students and whether/why students should strive for high test scores. Implications for both approaches to standardized testing and broader improvement initiatives are discussed.     

The elaboration theory of instruction: A model for sequencing and synthesizing instruction

This paper describes a novel instructional model for sequencing, syntheizing, and summarizing subject-matter content. The importance of such models is discussed, along with the need for a significant change in the role of subject-matter structure in instruction. A zoom-lens analogy is presented to facilitate an understanding of the elaboration model of instruction. Some basic concepts and principles upon which the model is based are described. The basic unvarying components of the elaboration model are described. And finally, some variations in the model for different kinds of goals are described. The elaboration model follows a general-to-detailed pattern of sequencing, as opposed to the hierarchically based sequences derived from Gagné-type task analyses.Many of the ideas described in this paper were developed under two projeets, one funded by Brigham Young University in Provo, Utah, and the other by the Navy Personnel Research and Development Center in San Diego, California; however, the ideas expressed do not necessarily constitute the opinions of the funding institutions.     

Optimal Design for Two-Level Random Assignment and Regression Discontinuity Studies

An important concern when planning research studies is to obtain maximum precision of an estimate of a treatment effect given a budget constraint. When research designs have a multilevel or hierarchical structure changes in sample size at different levels of the design will impact precision differently. Furthermore, there will typically be differential costs of enrolling additional units at different levels of the hierarchy. The optimal design problem in multilevel research studies involves determining the optimal sample size at each level of the design given specified design parameters and a specified marginal cost of recruitment at each level. The current work extends existing results by considering optimal design for (a) unbalanced random assignment designs and (b) regression discontinuity designs.