scholarly journals Learning Objects and Their Implications on Learning: A Case of Developing the Foundation for a New Knowledge Infrastructure

10.28945/2907 ◽  
2005 ◽  
Author(s):  
Peter Bednar ◽  
Christine Welch ◽  
Almerindo Graziano

In an era of lifelong learning, empowerment of the learner becomes fundamental. Therefore exploitation of the full potential of learning objects depends upon creation of an appropriate infrastructure to promote symmetrical control of inquiry. The learner needs to be empowered because learning is a discovery process and thus must be under his or her own control. In early stages of education it is often assumed that choice of material is to be decided by experts. At the more advanced stages, however, any subject problem space becomes more complex, and thus any decision related to relevance of inquiry properly rests with the learner. However without access to relevant contextual material (in addition to content) the learner will not be in a position to make responsible judgments. Two problems are to be adduced. First, current attempts to contextualise content, such as those based on the use of Metadata etc, have been shown to be insufficient. Secondly, current developments in infrastructure assume that access and control of inquiry rests with the provider and fail to accommodate support of symmetrical dialogue. Many strategies for the use of Learning Objects assume that a learner wishes to be led through the material and precludes the possibility of an educational experience which promotes critical thinking (such as that inspired by Socratic method). We would argue that an infrastructure is needed which is capable of supporting both types of learning practice.

Author(s):  
Paul Battersby

Globalization is complex, dynamic, and unpredictable. A commensurably dynamic mode of analysis is thus required for the necessary task of comprehending globalization’s intricacies and consequences. Adopting a creative, problem-based technique, this chapter develops a global approach to problem orientation. Irregular migration is the topic focus used to map out how a complex problem space can be constructed and how notions of complexity can be imaginatively applied to explore avenues for global response. A global problem orientation accepts that new knowledge can form at the interstices of different systems or schools of thought. The creative–imaginative technique discussed in this chapter encourages the use of divergent models or paradigms in tandem to enable thick description and deep analysis of complex problem spaces.


2009 ◽  
Vol 3 (S2) ◽  
pp. S160-S165 ◽  
Author(s):  
Jeanne S. Ringel ◽  
Melinda Moore ◽  
John Zambrano ◽  
Nicole Lurie

ABSTRACTObjective: To assess the extent to which the systems in place for prevention and control of routine annual influenza could provide the information and experience needed to manage a pandemic.Methods: The authors conducted a qualitative assessment based on key informant interviews and the review of relevant documents.Results: Although there are a number of systems in place that would likely serve the United States well in a pandemic, much of the information and experience needed to manage a pandemic optimally is not available.Conclusions: Systems in place for routine annual influenza prevention and control are necessary but not sufficient for managing a pandemic, nor are they used to their full potential for pandemic preparedness. Pandemic preparedness can be strengthened by building more explicitly upon routine influenza activities and the public health system’s response to the unique challenges that arise each influenza season (eg, vaccine supply issues, higher than normal rates of influenza-related deaths). (Disaster Med Public Health Preparedness. 2009;3(Suppl 2):S160–S165)


2013 ◽  
Vol 198 ◽  
pp. 451-456 ◽  
Author(s):  
Rafał P. Jastrzębski ◽  
Alexander Smirnov ◽  
Katja Hynynen ◽  
Janne Nerg ◽  
Jussi Sopanen ◽  
...  

This paper presents the practical results of the design analysis, commissioning, identification, sensor calibration, and tuning of an active magnetic bearing (AMB) control system for a laboratory gas blower. The presented step-by-step procedures, including modeling and disturbance analysis for different design choices, are necessary to reach the full potential of the prototype in research and industrial applications. The key results include estimation of radial and axial disturbance forces caused by the permanent magnet (PM) rotor and a discussion on differences between the unbalance forces resulting from the PM motor and the induction motor in the AMB rotor system.


2019 ◽  
Author(s):  
A. M. Khalili

The dream of building machines that have human-level intelligence has inspired scientists for decades. Remarkable advances have been made recently; however, we are still far from achieving this goal. In this paper, I propose an alternative perspective on how these machines might be built focusing on the scientific discovery process which represents one of our highest abilities that requires a high level of reasoning and remarkable problem-solving ability. By trying to replicate the procedures followed by many scientists, the basic idea of the proposed approach is to use a set of principles to solve problems and discover new knowledge. These principles are extracted from different historical examples of scientific discoveries. Building machines that fully incorporate these principles in an automated way might open the doors for many advancements.


2021 ◽  
Author(s):  
tiantian zhang ◽  
Bin Li ◽  
Yuying Liu ◽  
Shou Liu

Abstract Background Echinococcosis is a severe zoonotic disease that imposes a substantial burden on human life. Numerous studies on echinococcosis have involved a variety of risk factors, and it is difficult to evaluate the key risk factors. The objectives of this meta-analysis are to summarize available data on the prevalence of human echinococcosis and identify the key risk factors for echinococcosis. Methods Relevant studies were comprehensively searched in the PubMed, EMBASE, Web of Science, Cochrane, Chinese National Knowledge Infrastructure (CNKI), Chongqing VIP Information (VIP), Wanfang and SinoMed databases from database inception until August 22, 2020. A random-effects model was used to estimate the pooled odds ratio (OR) and 95% confidence interval (CI) by integrating the OR values of each risk factor. The I2 and Q statistics were calculated to evaluate the heterogeneity, and potential sources of heterogeneity were identified using sensitivity analysis and subgroup analysis. Publication bias was estimated by funnel plots and Egger’s test. Results A total of 1026 studies were identified through the database search, of which 26 were eligible for this meta-analysis. In total, 23 and 9 of the 26 studies were cystic echinococcosis (CE) and alveolar echinococcosis (AE) studies, respectively (6 papers included both AE and CE). The pooled prevalence of echinococcosis was 5.52% (95% CI: 5.47%-5.58%). Ethnicity (OR = 2.93, 95% CI: 1.81–4.75; I2 = 0), being a herder (OR = 2.66, 95%CI95% CI: 2.25–3.14; I2 = 8%), not washing hands before meals (OR = 2.40, 95% CI: 1.34–4.28; I2 = 82.8%) and being female (OR = 1.45, 95% CI: 1.26–1.66; I2 = 33.9%) were risk factors for AE. The top five risk factors for CE were ethnicity (OR = 3.18, 95% CI: 1.55–6.52; I2 = 79.2%), nomadism (OR = 2.71, 95% CI: 1.65–4.47; I2 = 55.8%), drinking nonboiled water (OR = 2.47, 95% CI: 1.36–4.47; I2 = 85.7), feeding viscera to dogs (OR = 2.35, 95% CI: 1.89–2.91; I2 = 21.5%), and being a herder (OR = 2.19, 95% CI: 1.67–2.86; I2 = 85.1%). The study design-specific subgroup analysis showed that the heterogeneity of CE risk factors decreased to varying degrees. Conclusions Specific characteristics (i.e., ethnicity and herder status) and behaviors (i.e., not washing hands before meals and feeding viscera to dogs ) are possible risk factors for echinococcosis. This study provided remarkable insight for future prevention and control of echinococcosis.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Xiaomei Wang ◽  
Qi An ◽  
Zilong He ◽  
Wei Fang

Studying the structure and evolution characteristics of social networks is of great significance in assessing and controlling the outbreak of infectious diseases. Therefore, it is necessary to find research trends in this field. In this study, 1,752 documents (2001–2020) related to the relationship between the social network and epidemic published from Scopus, WOS (Web of Science), and CNKI (China National Knowledge Infrastructure) databases were studied to provide a more comprehensive overview of the frontiers of research in this field, including epidemics in social networks, spread of disease, influence of different factors on the spread of the epidemic, prevention and control strategies of the epidemic, and comparison of various strategies. Besides, several new research directions in this field worthy of attention of researchers are discussed.


Author(s):  
Miloš Milutinović ◽  
Vukašin Stojiljković ◽  
Saša Lazarević

L2 language learning is an activity that is becoming increasingly ubiquitous and learner-centric in order to support lifelong learning. Applications for learning are constrained by multiple technical and educational requirements and should support multiple platforms and multiple approaches to learning. This chapter investigates the possibility of applying ontology-based, dynamically generated learning objects implemented on a cloud computing infrastructure in order to satisfy these requirements. Previous work on using mobile learning objects is used as a starting point in an attempt to design a system that will preserve all of the advantages of utilizing learning objects, while eliminating any flaws and maximizing compatibility with existing systems. A model of a highly modular, flexible, multiplatform language learning system is presented along with some implementation remarks and advices for future implementation.


Author(s):  
Jeong Yong Ahn ◽  
Akugizibwe Edwin

Throughout the world, mathematics plays a vital role for the educational and developmental aspirations of any country. The quest to teach mathematical knowledge in a viable and effective way so as to induce creativity and applicability among learners is an ongoing challenge, especially for developing countries. A better understanding of how students learn mathematics coupled with effective application of mathematical e-learning can enhance meaningful learning of mathematics and make the subject more exciting. In this note, we introduce a mathematical e-learning model suitable for the modern digital era based on the learning theories of social constructivism, social realism, and connectivity. We then discuss the feasibility of implementing the model on an open source e-learning platform. Our findings reveal that the platform offers a developer’s tool for coding and customizing templates to attain higher levels of usage and interactivity in which learners can create and control learning objects while they observe the results.   


2002 ◽  
pp. 274-295
Author(s):  
Dave Pollard

In this article, Dave Pollard, Chief Knowledge Officer at Ernst & Young Canada since 1994, relates the award-winning process his firm has used, and which many of the corporations that have visited the Centre for Business Knowledge in Toronto are adapting for their own needs, to transform the company from a knowledge-hoarding to a knowledge-sharing enterprise. The article espouses a five-phase transformation process: • Developing the Knowledge Future State Vision, Knowledge Strategy and Value Propositions • Developing the Knowledge Architecture and Determining its Content • Developing the Knowledge Infrastructure, Service Model and Network Support Mechanisms • Developing a Knowledge Culture Transformation Program • Leveraging Knowledge into Innovation The author identifies possible strategies, leading practices, and pitfalls to avoid in each phase. He also explores the challenges involved in identifying and measuring intellectual capital, encouraging new knowledge creation, capturing human knowledge in structural form, and enabling virtual workgroup collaboration.


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