Bourdieu’s habitus and field: implications on the practice and theory of critical action learning

This paper considers the logic of practice of the French sociologist Pierre Bourdieu in relation to critical action learning: in particular habitus which is co-created with field and the interplay amongst the two in the form of misrecognition and risk. We draw on interviews with participants who have experienced action learning as part of an NHS leadership programme. We argue that Bourdieu provides helpful ways of understanding and explaining the complex processes of social interactions which are centre stage in action learning – especially the ‘social friction’ through which action learners gain new insights and new prompts to action in their workplace from learning set members. These insights can support action learning practitioners keen to explore their own practice.     

Technological agglomeration and the emergence of clusters and networks in nanotechnology

Research and development at the nanoscale requires a large degree of integration, from convergence of research disciplines in new fields of enquiry to new linkages between start-ups, regional actors and research facilities. Based on the analysis of two clusters in nanotechnologies (MESA+ (Twente) and other centres in The Netherlands and Minatec in Grenoble in France), the paper discusses the phenomenon of technological agglomeration: co-located scientific and technological fields associated to coordinated technology platforms to some extent actively shaped by institutional entrepreneurs. Such co-location and coordination are probably a pre-requisite for the emergence of strong nanoclusters.     

Two-stage screening for math problem-solving difficulty using dynamic assessment of algebraic learning

The purpose of this study was to explore the utility of a dynamic assessment (DA) of algebraic learning in predicting third graders' development of mathematics word-problem difficulty. In the fall, 122 third-grade students were assessed on a test of math word-problem skill and DA of algebraic learning. In the spring, they were assessed on word-problem performance. Logistic regression was conducted to contrast two models. One relied exclusively on the fall test of math word-problem skill to predict word-problem difficulty on the spring outcome (less than the 25th percentile). The second model relied on a combination of the fall test of math word-problem skill and the fall DA to predict the same outcome. Holding sensitivity at 87.5%, the universal screener alone resulted in a high proportion of false positives, which was practically reduced when DA was included in the prediction model. Findings are discussed in terms of a two-stage process for screening students within a responsiveness-to-intervention prevention model.     

On the importance of a cognitive processing perspective: an introduction

Children with learning problems require early intervention. If it is evidence based and implemented with integrity and intensity, it will accelerate the academic progress of many students. This is the hope and expectation of the many supporters of responsiveness-to-intervention (RTI). A minority of children, however, will not respond sufficiently to such intervention because of learning disorders like specific learning disabilities (SLD). Some RTI models do not include research-backed methods to identify these children, nor do RTI practitioners often produce the data necessary to develop individualized instruction for them. The authors suggest practitioners go beyond typical RTI assessment data documenting responsiveness/ unresponsiveness to conduct comprehensive evaluations of these most difficult-to-teach students and to include in their evaluations carefully chosen cognitive measures. This special issue presents the work of teams of researchers, which suggests that cognitive and neuropsychological assessments can provide information to further understand SLD, which in turn can guide development of promising interventions.     

Government management of two media-facilitated crises involving dioxin contamination of food

Incidents become crises through a constant and intense public scrutiny facilitated by the media. Two incidents involving dioxin contamination of food led to crises in Belgium and the Republic of Ireland in 1999 and 2008, respectively. Thought to cause cancer in humans, dioxins reached the food supply in both incidents through the contamination of fat used for animal feed. The food and agricultural industries connected to each incident relied on crisis management activities of federal governments to limit adverse public reaction. Analysis of the management of the two crises by their respective federal governments, and a subsequent review of crisis management literature, led to the development of an effective crisis management model. Such a model, appropriately employed, may insulate industries associated with a crisis against damaged reputations and financial loss.     

A framework for ICT-enabled real-time production planning and control

This paper aims to develop a conceptual framework for real-time production planning and control（PPC）.Firstly,we discuss the most prominently applied contemporary information and communication technologies for PPC.Enterprise resource planning（ERP） systems that integrate the value chain in an enterprise,manufacturing execution systems that manage and control the production on shopfloor,and advanced planning and scheduling（APS）systems that develop solutions for complex planning problems are the planning and control systems that have been analyzed.We emphasize the application of radio frequency identification as the most advanced and promising emerging real-time data capture technology that is currently available to manufacturers.Having analyzed the features and shortcomings of the individual systems perse,and by considering the advantages that may be realized through effective integration of these otherwise discrete systems,we propose a framework for real-time PPC.     

Novice teacher vertical professional development? Exploring teachers’ and coaches’ beliefs throughout a two-year induction program

Learning Environments Research - The pedagogical beliefs of novice teachers and their coaches throughout a two-year induction program and how those beliefs impact their induction experiences were...     

Identifying Key Features of Effective Active Learning: The Effects of Writing and Peer Discussion

We investigated some of the key features of effective active learning by comparing the outcomes of three different methods of implementing active-learning exercises in a majors introductory biology course. Students completed activities in one of three treatments: discussion, writing, and discussion + writing. Treatments were rotated weekly between three sections taught by three different instructors in a full factorial design. The data set was analyzed by generalized linear mixed-effect models with three independent variables: student aptitude, treatment, and instructor, and three dependent (assessment) variables: change in score on pre- and postactivity clicker questions, and coding scores on in-class writing and exam essays. All independent variables had significant effects on student performance for at least one of the dependent variables. Students with higher aptitude scored higher on all assessments. Student scores were higher on exam essay questions when the activity was implemented with a writing component compared with peer discussion only. There was a significant effect of instructor, with instructors showing different degrees of effectiveness with active-learning techniques. We suggest that individual writing should be implemented as part of active learning whenever possible and that instructors may need training and practice to become effective with active learning.