Physical Space and the Resource-Based View of the College

Space serves as a key resource for colleges and universities, and institutions exchange information about it with each other and with prospective students. Using content analysis to examine several widely circulated publications, this study looked for differences in the value attributed to space when institutional leaders present it to students and to other institutions. More broadly, I hope to suggest how differences in the presentation of space could indicate divergent priorities that can damage institutional trustworthiness.     

Technology use and learning characteristics of students in higher education: Do generational differences exist?

As digital technologies form an inextricable part of young people's everyday lives, some commentators claim that the current generation of learners think and learn differently from their predecessors. This study investigated the validity of this claim by surveying 799 undergraduate and 81 postgraduate students at a large research‐intensive university in New Zealand to document their use of digital technologies on university and social activities and comparing three age groups of students (under 20, 20–30 and over 30) to see whether there were any differences in their learning characteristics. The findings of the study showed that while students spent a large amount of time on digital technologies, the range of digital technologies they used was rather limited. There were also no practical generational differences in the technology use pattern and learning characteristics found in this study. The results of this study suggest that generation is not a determining factor in students' use of digital technologies for learning nor has generation had a radical impact on learning characteristics of higher education students.     

Transparency and Opacity: Levinasian Reflections on Accountability in Australian Schooling

Abstract

This article draws on the philosophy of Emmanuel Levinas to consider, from an ethical perspective, the current transparency and accountability agenda in Australian schooling. It focuses on the case of the My School website and the argument that transparent publication of comparative performance data via the website provides a basis for making things better in schooling. The article argues that while technologies of accountability may have potential benefits, they cannot provide a basis for this ethical project. Instead, the ethical experience described by Levinas arises from an encounter with opacity in the face-to-face relation with the Other, who is harshly illuminated by the transparency promised through calculation and comparison. Such encounters with opacity hold the potential to disrupt the politics of visibility promoted by transparency agendas and provide an alternative to the growing practice of ‘accountability at a distance’ based on performance data.     

Natural language processing to identify the creation and impact of new technologies in patent text: Code,data, and new measures

We develop natural language processing techniques to identify the creation and impact of new technologies in the population of U.S. patents. We validate the new techniques and their improvement over traditional metrics based on patent classification and citations in two case-control studies. First, we collect patents linked to awards such as the Nobel prize and the National Inventor Hall of Fame. These patents likely cover radically new technologies with a major impact on technological progress and patenting. Second, we identify patents granted by the United States Patent and Trademark Office but simultaneously rejected by both the European and Japanese patent office. Such patents arguably lack novelty or cover small incremental advances over prior art and should have little impact on technological progress. We provide open access to code, data, and new measures for all utility patents granted by the USPTO up to May 2018 (see https://zenodo.org/record/3515985, DOI: 10.5281/zenodo.3515985).     

Innovation,growth and the transition to net-zero emissions

The climate crisis and the global economic impact of the Covid-19 crisis occur against a background of slowing growth and widening inequalities, which together imply an urgent need for a new environmentally sustainable and inclusive approach to growth. Investments in “clean” innovation and its diffusion are key to shaping this, accompanied by investments in complementary assets including sustainable infrastructure, and human, natural and social capital which will not only help achieve net-zero greenhouse gas emissions, but will also improve productivity, living standards and the prospects of individuals. In this article, we draw on the theoretical and empirical evidence on the opportunities, drivers and policies for innovation-led sustainable growth. We highlight the importance of a coordinated set of long-term policies and institutions that can enable and foster private sector investments in clean innovation and assets quickly and at scale. In doing so, we draw inspiration from Chris Freeman's work on the system-wide drivers of innovation, and his early vision of achieving environmental sustainability by reorienting growth.     

Environmental education program evaluation in the new millennium: what do we measure and what have we learned?

We conducted a systematic literature review of peer-reviewed research studies published between 1999 and 2010 that empirically evaluated the outcomes of environmental education (EE) programs for youth (ages 18 and younger) in an attempt to address the following objectives: (1) to seek reported empirical evidence for what works (or does not) in EE programming and (2) to uncover lessons regarding promising approaches for future EE initiatives and their evaluation. While the review generally supports consensus-based best practices, such as those published in the North American Association for Environmental Education’s Guidelines for Excellence, we also identified additional themes that may drive positive outcomes, including the provision of holistic experiences and the characteristics and delivery styles of environmental educators. Overall, the evidence in support of these themes contained in the 66 articles reviewed is mostly circumstantial. Few studies attempted to empirically isolate the characteristics of programs responsible for measured outcomes. We discuss general trends in research design and the associated implications for future research and EE programming.     

From eligibility assessment to intervention for students with autism spectrum disorder

The mean age of identification for autism spectrum disorder (ASD) occurs during the months before children enter kindergarten. The incidence and prevalence of “autistic behaviors” in the general population are not fully understood, however, census-matched studies of these behaviors have yielded important new data. As children presenting with behaviors characteristic of ASD enter school, school psychologists are increasingly faced with the assessment and determination of individuals with disabilities improvement act (IDEIA) eligibility, often with students yet to be formally diagnosed with ASD. In many US states, a clinical diagnosis of ASD is not required for a child's eligibility to be served under the category of other health impaired as autism. Nor does a diagnosis of ASD automatically qualify a student as eligible under IDEIA. Eligibility hinges on educational impact. This article briefly reviews the current state of knowledge as it relates to understanding and evaluating children with suspected ASD in the schools, offers a framework for assessment, and discusses a set of proposed guidelines to assist in effectively utilizing assessment data in the development of individualized education plan goals.     

Tensions in Community Health Improvement Initiatives: Communication and Collaboration in a Managed Care Environment

Between the years 1993 and 2000, the W. K. Kellogg Foundation sponsored the Comprehensive Community Health Models (CCHMs) Initiative in three Michigan counties. CCHMs was comprised of three closely related community initiatives carried out in the midst of a failed national health care reform effort and the continued penetration of managed care arrangements into many health care systems. This experimental initiative set out to test the hypothesis that traditional healthcare system animosities and exclusionary practices could be overcome by stakeholder participation in an ongoing, structured, collaborative dialogue about improving access to health services. In the process of collecting data through surveys, interviews, content analysis, and observation, we were struck by the occurrence of several overarching tensions that we perceive to exist in our data. The present article elucidates five such tensions and suggests how third parties such as communication researchers, evaluators, and practitioners can facilitate community health improvement initiatives and better their own data interpretation by acknowledging and understanding these tensions.