The relevance of intellectual capital disclosure: empirical evidence from Spanish universities

The reporting of intellectual capital (IC) in higher education institutions is of vital importance, mainly owing to the fact that knowledge is the main output and input in these institutions. Furthermore, the increasing social concern about establishing procedures of accountability and ensuring information transparency in public universities prompted us to consider the need to disclose information on their IC. In this study, we developed a questionnaire that was sent to members of the Social Councils of Spanish public universities in order to identify the intangible elements about which university stakeholders demand most information. It was also used to see which groups of universities have stakeholders who are more proactive to the disclosure of IC. Our results represent a starting point for public universities to identify the most commonly requested information about IC. Universities can then develop an IC report that fits their own characteristics and environment.     

Translating quality in higher education: US approaches to accreditation of institutions from around the world

This article reports on findings from a sociolinguistic qualitative study exploring inter-discursive relations manifested in the approaches and strategies that regional accrediting agencies in the United States utilise when recognising foreign universities. Even as most countries have developed national quality assurance systems and whilst international rankings comparing institutions globally are available, a growing number of universities around the world seek recognition from American regional agencies. By comparing policy statements, manuals, guidelines and other documents, and after interviewing top-level officers at US accrediting agencies, this study makes explicit the assumptions and central discourses associated with US accreditation of non-US institutions of higher education, from the accreditors’ perspective. Following constant comparison and cultural critical discourse analysis, the study reveals concerns about the equivalency of quality, emphasis on capacity building and reluctance toward adapting US standards. An interest in building international partnerships, in order to respond to globalisation, is also identified.     

Iterated gain-based stochastic filters for dynamic system identification

We propose a novel form of nonlinear stochastic filtering based on an iterative evaluation of a Kalman-like gain matrix computed within a Monte Carlo scheme as suggested by the form of the parent equation of nonlinear filtering (Kushner–Stratonovich equation) and retains the simplicity of implementation of an ensemble Kalman filter (EnKF). The numerical results, presently obtained via EnKF-like simulations with or without a reduced-rank unscented transformation, clearly indicate remarkably superior filter convergence and accuracy vis-à-vis most available filtering schemes and eminent applicability of the methods to higher dimensional dynamic system identification problems of engineering interest.     

Nonlinear growth curves in developmental research

Developmentalists are often interested in understanding change processes, and growth models are the most common analytic tool for examining such processes. Nonlinear growth curves are especially valuable to developmentalists because the defining characteristics of the growth process such as initial levels, rates of change during growth spurts, and asymptotic levels can be estimated. A variety of growth models are described beginning with the linear growth model and moving to nonlinear models of varying complexity. A detailed discussion of nonlinear models is provided, highlighting the added insights into complex developmental processes associated with their use. A collection of growth models are fit to repeated measures of height from participants of the Berkeley Growth and Guidance Studies from early childhood through adulthood.     

Microfluidic wet spinning of chitosan-alginate microfibers and encapsulation of HepG2 cells in fibers

The successful encapsulation of human hepatocellular carcinoma (HepG2) cells would greatly assist a broad range of applications in tissue engineering. Due to the harsh conditions during standard chitosan fiber fabrication processes, encapsulation of HepG2 cells in chitosan fibers has been challenging. Here, we describe the successful wet-spinning of chitosan-alginate fibers using a coaxial flow microfluidic chip. We determined the optimal mixing conditions for generating chitosan-alginate fibers, including a 1:5 ratio of 2% (w∕w) water-soluble chitosan (WSC) solution to 2% (w∕w) alginate solution. Ratio including higher than 2% (w∕w) WSC solution increased aggregation throughout the mixture. By suspending cells in the WSC-alginate solution, we successfully fabricated HepG2 cell-laden fibers. The encapsulated HepG2 cells in the chitosan-alginate fibers were more viable than cells encapsulated in pure alginate fibers, suggesting that cross-linked chitosan provides a better environment for HepG2 cells than alginate alone. In addition, we found that the adhesion of HepG2 cells on the chitosan-alginate fiber is much better than that on the alginate fibers.     

Switching intentions in the context of open-source software movement: The paradox of choice

Education and Information Technologies - Open-source software movement presents a viable alternative to commercial operating systems. Linux-based operating systems are freely available and a...     

A Theory of Questions and Question Asking

This article focuses on knowledge goals, that is, the goals of a reasoner to acquire or reorganize knowledge. Knowledge goals, often expressed as questions, arise when the reasoner's model of the domain is inadequate in some reasoning situation. This leads the reasoner to focus on the knowledge it needs, to formulate questions to acquire this knowledge, and to learn by pursuing its questions. I develop a theory of questions and of question asking, motivated both by cognitive and computational considerations, and I discuss the theory in the context of the task of story understanding. I present a computer model of an active reader that learns about novel domains by reading newspaper stories.     

Agents control in intelligent learning systems: The case of reactive characteristics

Intelligent learning systems (ILSs) have evolved in the last few years basically because of influences received from multi-agent architectures (MAs). Conflict resolution among agents has been a very important problem for multi-agent systems, with specific features in the case of ILSs. The literature shows that ILSs with cognitive or pedagogical agents are prone to arbitration methods, where as ILSs with reactive agents are much in favor of control mechanisms. For these kind of systems, different control types are proposed based on the different stimuli that these agents will receive. These stimuli are aspects to be evaluated during the teaching/learning process such as: (1) error analysis, (2) learning styles, (3) analogies, (4) social aspects, etc.

The paper reviews several ILSs, related to our work; different control mechanisms are proposed to solve the agents' intervention conflicts. Finally, the use of several mechanisms is exemplified by the results of a specific ILS.