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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

E-learning adoption in a campus university as a complex adaptive system: mapping lecturer strategies

Russell, Carol , Faculty of Engineering, UNSW January 2008 (has links)
The adoption of e-learning technologies in campus universities has not realised its potential for meeting the learning needs and expectations of 21st century students. By modelling university learning and teaching as a complex adaptive system, this thesis develops a new way of understanding and managing the adoption of new learning technologies in campus universities. The literature on learning and teaching in higher education indicates that lecturers??? ability to innovate in their teaching is constrained by tacit and discipline-specific educational knowledge. Introducing new methods and technologies into mainstream university teaching requires explicit review of educational knowledge, and requires support from departmental and institutional organizational systems. Research on organizational change in other contexts, such as manufacturing industry, has used complex adaptive systems modelling to understand the systemic interdependence of individual strategies, organizations and technologies. These models suggest that the integration of new e-learning technologies into mainstream campus university teaching will involve corresponding change processes. Part of this change requires the linking up of diverse disciplinary perspectives on learning and teaching. The thesis develops a conceptual framework for researching university learning and teaching as a complex adaptive system that includes learning technologies, people, and their organization within a university. Complex adaptive systems theory suggests that the capacity of a campus university to adapt to new e-learning technologies will be reflected in patterns in the strategies of those lecturers who are early adopters of those technologies. A context-specific study in the University of New South Wales used cognitive mapping to represent and analyse the strategies of a group of 19 early adopters of e-learning technology. These early adopters were participants in a cross-discipline Fellowship programme intended to develop their ability to act as change agents within the university. Analysis of the maps gathered before and after the Fellowship, triangulated with data on the Fellows??? participation in organizational change, leads to a new way of modelling how university learning and teaching systems, including their technologies, adapt within a complex and changing higher education context.
2

Privacy in the Age of the Internet

Russell, Bronwen Elizabeth 15 April 2009
This paper addresses the claim that there is zero privacy for Canadians on the internet. For the interpersonal computing era 1992 to 2007, the relationship between the three major agents (i.e., individual users, federal government, and business) operating on the internet was examined. Three questions guided the research: how has the popular press educated Canadians about internet privacy? what has been the response of the federal government? how have online companies protected the privacy of Canadians? Content analyses of (a) Macleans magazine, (b) the Privacy Commissioner's Annual Reports to Parliament, (c) and the privacy policies of the most visited websites were conducted. Complex Adaptive Systems theory indicated that privacy is an emergent property arising from the interaction of the agents and that the internet is an environment where the agents' interactions lead to limited privacy.
3

Privacy in the Age of the Internet

Russell, Bronwen Elizabeth 15 April 2009 (has links)
This paper addresses the claim that there is zero privacy for Canadians on the internet. For the interpersonal computing era 1992 to 2007, the relationship between the three major agents (i.e., individual users, federal government, and business) operating on the internet was examined. Three questions guided the research: how has the popular press educated Canadians about internet privacy? what has been the response of the federal government? how have online companies protected the privacy of Canadians? Content analyses of (a) Macleans magazine, (b) the Privacy Commissioner's Annual Reports to Parliament, (c) and the privacy policies of the most visited websites were conducted. Complex Adaptive Systems theory indicated that privacy is an emergent property arising from the interaction of the agents and that the internet is an environment where the agents' interactions lead to limited privacy.
4

E-learning adoption in a campus university as a complex adaptive system: mapping lecturer strategies

Russell, Carol , Faculty of Engineering, UNSW January 2008 (has links)
The adoption of e-learning technologies in campus universities has not realised its potential for meeting the learning needs and expectations of 21st century students. By modelling university learning and teaching as a complex adaptive system, this thesis develops a new way of understanding and managing the adoption of new learning technologies in campus universities. The literature on learning and teaching in higher education indicates that lecturers??? ability to innovate in their teaching is constrained by tacit and discipline-specific educational knowledge. Introducing new methods and technologies into mainstream university teaching requires explicit review of educational knowledge, and requires support from departmental and institutional organizational systems. Research on organizational change in other contexts, such as manufacturing industry, has used complex adaptive systems modelling to understand the systemic interdependence of individual strategies, organizations and technologies. These models suggest that the integration of new e-learning technologies into mainstream campus university teaching will involve corresponding change processes. Part of this change requires the linking up of diverse disciplinary perspectives on learning and teaching. The thesis develops a conceptual framework for researching university learning and teaching as a complex adaptive system that includes learning technologies, people, and their organization within a university. Complex adaptive systems theory suggests that the capacity of a campus university to adapt to new e-learning technologies will be reflected in patterns in the strategies of those lecturers who are early adopters of those technologies. A context-specific study in the University of New South Wales used cognitive mapping to represent and analyse the strategies of a group of 19 early adopters of e-learning technology. These early adopters were participants in a cross-discipline Fellowship programme intended to develop their ability to act as change agents within the university. Analysis of the maps gathered before and after the Fellowship, triangulated with data on the Fellows??? participation in organizational change, leads to a new way of modelling how university learning and teaching systems, including their technologies, adapt within a complex and changing higher education context.
5

Modeling complex adaptive systems and complexity for interactive art

Sommerer, Christa January 2002 (has links)
Complex System Sciences, as a field of research, has emerged in the past decade. It studies how parts of a system give rise to the collective behaviours of the system and how the system interacts with its environment. It approaches the question of how life on earth could have appeared by searching for inherent structures in living systems and trying to define common patterns within these structures. Complex Systems are also often described as systems where the whole is more complex than the mere sum of its parts, and these systems are also considered to be at the point of maximum computational ability, maximum fitness and maximum evolvability. Several scientific models have simulated Complex Adaptive Systems. These try to model the emergence of complexity within computer-simulated environments inhabited by artificially evolving organisms. My objective in this thesis is to study the application of Complex Systems and Complex Adaptive Systems to Interactive Art and to test how one could construct interactive systems that can create dynamic and open-ended image structures that increase in complexity as users interact with them. Ideally, these interactive artworks should become comparable to Complex Adaptive Systems or even become Complex Systems themselves by satisfying some of the key properties of such systems.
6

THE USE AND IMPACT OF DISASTER RECOVERY INDICATORS FROM THE PERSPECTIVE OF COMPLEX ADAPTIVE SYSTEMS THEORY: THE CASE OF THE NEW ORLEANS INDEX

January 2016 (has links)
acase@tulane.edu / 1 / Melissa Schigoda
7

Innovation as a complex adaptive system

Engler, Joseph John 01 May 2009 (has links)
Innovation has long been considered crucial for companies to gain a competitive edge in the global marketplace. Unfortunately, a solid understanding of the system of innovation does not exist. The literature lacks formal definitions and methodologies for the system of innovation. Many surrogates for innovation metrics have been posited in past research but none have solidified the overall concept of an innovation system or science. It has been speculated that innovation as a system is complex. Additionally, some researchers have suggested that this innovation system is adaptive. In these instances, of the literature, surrogates were again utilized in place of solid modeling and hypothesis that is benchmarked against real world case studies. Surrogates, such as patent citation, do serve a useful purpose to assist in the understanding of the historic nature of the innovation system but they fall short of defining the system completely. This paper seeks to aid in the solidification of a hypothesis of the system of innovation as a complex adaptive system. Initial consideration is directed towards the historic interactions that have taken place in the system of innovation. These interactions are viewed through the surrogate of patent citation as there is little other record of innovation. The novelty of this paper is that patent citations form not the core but rather a starting point for the definition of innovation as a complex adaptive system. Various models are built using techniques of cellular automata as well as agent-based modeling to assist in the understanding of the principles at work in the innovation system. These models present startling evidence that there exists an upper bound on the number of interactions any one invention should utilize in its course towards being deemed an innovation. Additionally, the models describe the benefits of partnership between innovating entities in a rapidly changing marketplace such as the current technological markets. This paper asserts specific conclusions, from the models, that assist in understanding that the system of innovation is truly a complex adaptive system. The models are further supported through real world examples.
8

Matching supply to demand: relating local structural adaptation to global function

Desai, Ketaki Vimalchandra 15 May 2009 (has links)
The heart and microvasculature have characteristics of a complex adaptive system. Extreme challenges faced by these organ systems cause structural changes which lead to global adaptation. To assess the impact of myocardial interstitial edema on the mechanical properties of the left ventricle and the myocardial interstitium, we induced acute and chronic interstitial edema in dogs. With chronic edema, the primary form of collagen changed from type I to III and left ventricular chamber compliance significantly increased. The resulting functional adaptation allows the chronically edematous heart to maintain left ventricular chamber compliance when challenged with acute edema, thus, preserving cardiac function over a wide range of interstitial fluid pressures. To asses the effect of microvascular occlusions, we reintroduced the Pallid bat wing model and developed a novel mathematical model. We hypothesized that microvessels can switch from predominantly pressure-mediated to shear-mediated responses to ensure dilation during occlusions. Arterioles of unanesthetized Pallid bats were temporarily occluded upstream (n=8) and parallel (n=4) to vessels of interest (20-65 mm). In both cases, the vessels of interest rapidly dilated (36+24 %, 37+33 %), illustrating that they responded appropriately to either decreased pressure or increased shear stress. The model not only reproduced this switching behavior, but reveals its origin as the nonlinear shear-pressure-radius relationship. The properties of the heart and microvasculature were extended to characterize a “Research-Intensive Community” (RIC) model, to provide a feasible solution consistent with the Boyer Commission, to create a sustainable physiology research program. We developed and implemented the model with the aim of aligning diverse goals of participants while simultaneously optimizing research productivity. While the model radically increases the number of undergraduate students supported by a single faculty member, the inherent resilience and scalability of this complex adaptive system enables it to expand without formal institutionalization.
9

SEA CHANGE : Social-ecological co-evolution in Baltic Sea fisheries

Hentati-Sundberg, Jonas January 2015 (has links)
Sustainable management of natural resources requires an in-depth understanding of the interplay between social and ecological change. Linked social-ecological systems (SES) have been described as complex adaptive systems (CAS), which mean that they are irreducible, exhibit nonlinear dynamics, have interactions across scales and are uncertain and unpredictable. These propositions have however rarely been tested empirically, in part due to a lack of methodological approaches and suitable datasets. In this thesis, I address this methodological and empirical gap in a study of long-term change of Baltic Sea fisheries. In Paper I, we develop the concept of fishing style through integrating multivariate statistical analysis and in-depth interviews. We thereby identify an intermediate level of detail for analyzing social-ecological dynamics, embracing the case specific and context dependent approaches of the social sciences with the generalizable and quantifiable approaches from the natural sciences. In Paper II we ask: How has the Baltic Sea fishery been regulated over time, and can we identify a way to quantify regulations in order to be able to analyze their effects? We analyze all regulatory changes in Sweden since 1995 with a new methodology and conclude that there is a clear trend towards increased micro-management. In Paper III, we use the fishing styles developed in Paper I and examine how they have changed over time. We relate these changes to the dynamics of regulation (Paper II), as well as to the dynamics of fish stocks and prices. We conclude that regulation has been the main driving force for observed changes, but also that regulation has prompted significant specialization and decline in flexibility for fishers over time. These changes are unintended consequences and may represent a looming risk for the long-term sustainability of this social-ecological system. Paper IV zooms in on a particular fishery, the pelagic trawl fishery for sprat Sprattus sprattus and Atlantic herring Clupea harengus, mainly targeted for the production of fishmeal and fish oil. Suspicions of non-compliance in this fishery motivated us to apply a statistical approach where we used socioeconomic data to re-estimate the historical catches in this fishery (a novel approach to catch-reconstruction estimates). We found that catches had been significantly underreported over several years, with consequences for the quality of stock assessments and management. The study underlines the importance of understanding linked social, economic and ecological dynamics for sustainable outcomes. Finally, Paper V takes a longer historical look at the Baltic Sea fishery, using regionally disaggregated data from 1914-2009 (96 years), which were analyzed with a novel type of nonlinear statistical time-series methods (Empirical Dynamical Modeling). Our analysis explicitly recognized the potential nonlinear dynamics of SES and showed high predictability across regions of catches and prices of cod Gadus morhua and herring. The signal was generally nonlinear and predictability decreased strongly with time, suggesting that the dynamics of this SES are ever-changing. To our knowledge, this is the first long-term analysis of a SES using empirical data and methods developed from the CAS field of research. The main contributions of this thesis are the integrated analysis of social and ecological data, the development of novel methods for understanding SES dynamics, insights on the ever-changing nature of CAS and the quantitative analysis of management outcomes. Future work should focus on assessing the generality of these findings across a broad range of SES and evaluate alternative governance approaches given the complexity and uncertainty of SES suggested by this thesis. / <p>At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 5: Manuscript.</p>
10

A complete implementation of John Holland's echo model for complex adaptive systems /

Graham, Lee January 1900 (has links)
Thesis (M.C.S.)--Carleton University, 2001. / Includes bibliographical references (p. 87). Also available in electronic format on the Internet.

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