Mathematical models for academic webs: Linear relationship or non-linear power law?

Previous studies of academic web interlinking have tended to hypothesise that the relationship between the research of a university and links to or from its web site should follow a linear trend, yet the typical distribution of web data, in general, seems to be a non-linear power law. This paper assesses whether a linear trend or a power law is the most appropriate method with which to model the relationship between research and web site size or outlinks. Following linear regression, analysis of the confidence intervals for the logarithmic graphs, and analysis of the outliers, the results suggest that a linear trend is more appropriate than a non-linear power law.     

A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling

A great obstacle for wider use of structural equation modeling (SEM) has been the difficulty in handling categorical variables. Two data sets with known structure between 2 related binary outcomes and 4 independent binary variables were generated. Four SEM strategies and resulting apparent validity were tested: robust maximum likelihood (ML), tetrachoric correlation matrix input followed by SEM ML analysis, SEM ML estimation for the sum of squares and cross-products (SSCP) matrix input obtained by the log-linear model that treated all variables as dependent, and asymptotic distribution-free (ADF) SEM estimation. SEM based on the SSCP matrix obtained by the log-linear model and SEM using robust ML estimation correctly identified the structural relation between the variables. SEM using ADF added an extra parameter. SEM based on tetrachoric correlation input did not specify the data generating process correctly. Apparent validity was similar for all models presented. Data transformation used in log-linear modeling can serve as an input for SEM.     

Behavioural additionality of R&D subsidies: A learning perspective

The use of R&D grants as a policy instrument has been motivated by economic arguments of market failure. Neo-classical econometric studies have analysed the additionality of one Euro of subsidies on both the investments of companies in the R&D process and the output of that R&D process. More recently, behavioural additionality has been launched as a third form of additionality. In contrast to input and output additionality, behavioural additionality is related to changes in the processes that take place within the firm. In this paper, we analyse the determinants of the behavioural additionality of R&D grants. To explain the mechanism through which behavioural additionality is obtained, we use organizational learning theory as a guide to formulate our hypotheses. Hypotheses are tested using a telephone survey of 192 recipients of R&D grants provided by the IWT in Flanders in 2001–2004, matched to a sample of 84 firms that undertake innovation activities but which had never had a grant bid accepted. We find that congenital learning and interorganizational learning lead to increased behavioural additionality. However, these learning effects decrease with the number of subsidized projects that are undertaken by the company.     

Can cities shape socio-technical transitions and how would we know if they were?

This paper asks two - relatively simple - questions: can cities shape socio-technical transitions? And how would we know if they were? There are three key objectives. The first of these is to set out emerging, and in our view, convincing evidence, that large world cities have political aspirations to develop purposive and managed change in the socio-technical organisation of infrastructure networks that can be characterised as ‘systemic’ transitions. The second objective is conceptual in orientation and seeks to address how we understand transitions at the scale of the city, the role of ‘the city’ in undertaking transitions, and review both the strengths and shortcomings of the multi-level perspective (MLP) on socio-technical transitions in addressing this. The third objective is to identify what an urban transition would look like, and then constructs a new framework to conceptualise and research urban transitions. The paper then summarises the key aspects and implications of our argument.     

Creating value in ecosystems: Crossing the chasm between knowledge and business ecosystems

Policy makers take initiatives to stimulate knowledge ecosystems in technology hotspots. It is implicitly assumed that these ecosystems will lead to value networks through which the participating companies can realize a competitive advantage. Value networks refer to business ecosystems where the value proposition is offered by a group of companies which are mutually complementary. The strategy literature suggests that business ecosystems lead to competitive advantages for each of the partners in the ecosystem. Based on a unique hand-collected database of 138 innovative start-ups in the region of Flanders, we analyze the knowledge and business ecosystem and the financial support network. We find that the knowledge ecosystem is well structured and concentrated around a number of central actors while the business ecosystem is almost non-existent at the local level. Further, we find that the financial support network is almost 100% publicly backed and fails to bridge the knowledge and business ecosystem. The implications for policy makers who tend to focus on the development of local ecosystems are discussed.     

A case for critical constructivism and critical thinking in science education

While constructivism has made a considerable mark concerning learning in many areas of school learning, much less is evident relating to the education and professional development of teachers. This paper not only deals with the implementation and evaluation of such a constructivist course, but extends the argument towards the induction of teachers into “critical constructivism” through their own action research projects. Data is drawn from a single case study which illuminates the induction process and illustrates the changes taking place in the professional life and the reflective practice of one teacher as she deals with scientific concepts with two classes of 11–15 and 18–25 year olds. The Brazilian setting for the course lends resonance to its international significance.     

Developing a smart classroom infrastructure to support real-time student collaboration and inquiry: a 4-year design study

Instructional Science - K-12 classroom settings are not yet incorporating emerging technologies such as ubiquitous computing, augmented reality, nor even touch surfaces, despite the significant...     

Empowerment for individual agency: an analysis of international organizations’ curriculum recommendations

Much recent research stresses the increasing relevance of international organisations (IOs) for national education policymaking. Yet, IOs’ curriculum recommendations have remained largely out of scope, although they provide a forceful example of ‘soft’ governance. Based on a content analysis of 83 documents from 42 inter/-nongovernmental, global and regional organisations involved in international education networks between 1990 and 2015, this paper identifies an expansive field of IOs directing growing attention to such curricular issues as student needs, educational goals and content, as well as issues of teaching and learning. In line with much cross-national curriculum research, analysis provides evidence for the trend towards a global curriculum model stressing empowerment, individual agency and psychosocial development. The article argues that the strong focus on human capabilities and human capital in IOs’ curriculum policies reflects wider cultural transformations in contemporary world society. The article concludes by arguing for an expanded analytical scope of IOs’ educational work and a reconsideration of causal explanations in curriculum theories.     

Nutritional strategies to optimize training and racing in middle-distance athletes

Middle-distance athletes implement a dynamic continuum in training volume, duration, and intensity that utilizes all energy-producing pathways and muscle fibre types. At the centre of this periodized training regimen should be a periodized nutritional approach that takes into account acute and seasonal nutritional needs induced by specific training and competition loads. The majority of a middle-distance athlete's training and racing is dependant upon carbohydrate-derived energy provision. Thus, to support this training and racing intensity, a high carbohydrate intake should be targeted. The required energy expenditure throughout each training phase varies significantly, and thus the total energy intake should also vary accordingly to better maintain an ideal body composition. Optimizing acute recovery is highly dependant upon the immediate consumption of carbohydrate to maximize glycogen resynthesis rates. To optimize longer-term recovery, protein in conjunction with carbohydrate should be consumed. Supplementation of beta-alanine or sodium bicarbonate has been shown to augment intra- and extracellular buffering capacities, which may lead to a small performance increase. Future studies should aim to alter specific exercise (resistance vs. endurance) and/or nutrition stimuli and measure downstream effects at multiple levels that include gene and molecular signalling pathways, leading to muscle protein synthesis, that result in optimized phenotypic adaptation and performance.