AN OPPORTUNITY TO BETTER UNDERSTAND SCHOOLING: THE GROWING PRESENCE OF PISA IN THE AMERICAS*

The Programme for International Student Assessment (PISA) has been developed by the Organisation for Economic Co-operation and Development to provide participating nations with internationally comparative mean literacy scores in reading, mathematics, and science for students nearing the end of compulsory schooling. The number of nations from the Americas that are participating in PISA has been increasing over the past 4 administrations. This 2-part paper (a) outlines the reaction to PISA within the media of both North and South America and (b) presents an Americas-specific example of the ways in which the PISA dataset can be used for more exploratory analysis through the lens of policy and curriculum suggestions, rather than just league table comparisons. We used multilevel modeling of scientific literacy predicted on a number of school-level background variables. Results point to the importance of socioeconomic background of the student as well as the school in predicting scientific literacy across all nations in the study; however, other school-level significant predictors were more nation-specific. Interpretations of these models as well as next steps are discussed.     

Teaching Bioinformatics and Neuroinformatics by Using Free Web-based Tools

This completely computer-based module''s purpose is to introduce students to bioinformatics resources. We present an easy-to-adopt module that weaves together several important bioinformatic tools so students can grasp how these tools are used in answering research questions. Students integrate information gathered from websites dealing with anatomy (Mouse Brain Library), quantitative trait locus analysis (WebQTL from GeneNetwork), bioinformatics and gene expression analyses (University of California, Santa Cruz Genome Browser, National Center for Biotechnology Information''s Entrez Gene, and the Allen Brain Atlas), and information resources (PubMed). Instructors can use these various websites in concert to teach genetics from the phenotypic level to the molecular level, aspects of neuroanatomy and histology, statistics, quantitative trait locus analysis, and molecular biology (including in situ hybridization and microarray analysis), and to introduce bioinformatic resources. Students use these resources to discover 1) the region(s) of chromosome(s) influencing the phenotypic trait, 2) a list of candidate genes—narrowed by expression data, 3) the in situ pattern of a given gene in the region of interest, 4) the nucleotide sequence of the candidate gene, and 5) articles describing the gene. Teaching materials such as a detailed student/instructor''s manual, PowerPoints, sample exams, and links to free Web resources can be found at http://mdcune.psych.ucla.edu/modules/bioinformatics.     

Tuning bubbly structures in microchannels

Foams have many useful applications that arise from the structure and size distribution of the bubbles within them. Microfluidics allows for the rapid formation of uniform bubbles, where bubble size and volume fraction are functions of the input gas pressure, liquid flow rate, and device geometry. After formation, the microchannel confines the bubbles and determines the resulting foam structure. Bubbly structures can vary from a single row ("dripping"), to multiple rows ("alternating"), to densely packed bubbles ("bamboo" and dry foams). We show that each configuration arises in a distinct region of the operating space defined by bubble volume and volume fraction. We describe the boundaries between these regions using geometric arguments and show that the boundaries are functions of the channel aspect ratio. We compare these geometric arguments with foam structures observed in experiments using flow-focusing, T-junction, and co-flow designs to generate stable nitrogen bubbles in aqueous surfactant solution and stable droplets in oil containing dissolved surfactant. The outcome of this work is a set of design parameters that can be used to achieve desired foam structures as a function of device geometry and experimental control parameters.     

Problem Solving Academic Workloads Management: A University Response1

Universities are challenged to maintain a work environment where academic staff fulfil traditional academic duties while responding to a diverse student population, a competitive research environment, and an escalation of administrative tasks within an accountability‐based climate. This paper analyses the development and implementation of a workloads policy at a New Zealand university through a joint university management and staff union initiative. The workloads policy was built on the principles of equity, transparency, reasonableness, safety and acceptability to staff. The integrity and effectiveness of adoption is evaluated through analyses of work requirements, workloads models and the findings from case studies of implementation by six diverse units from across the university. Based on our evaluation, we highlight aspects of the policy and procedures that have promise and suggest modifications where particular processes and outcomes fell short of stated goals for institutional change.