Using Web-based technologies to support learning needs in a high-growth, knowledge-based industry

Author(s):  
V.P. Kochikar ◽  
S. Yegneshwar
1998 ◽  
Vol 12 (4) ◽  
pp. 222-226
Author(s):  
Adelaide Maria Coelho Baěta

This paper examines the significance of the technology incubator in Brazil's transition from an industrial to a knowledge-based economy. The author examines how incubators can contribute to technology development and enterprise creation, stressing their ability to provide a two-way flow of information between higher education institutions and the private sector, breaking down the mutual distrust that has often hindered the successful exploitation of R&D in the past. The author discusses both the learning needs of companies and the ways in which universities need to change to adapt to the demands of the new knowledge society, placing this analysis in the context of how incubators can be organized to function efficiently. In illustration, she provides the working example of the Biominas Incubator in the state of Minas Gerais.


Author(s):  
Keith T. Shubeck ◽  
Scotty D. Craig ◽  
Xiangen Hu

Live-action training simulations with expert facilitators are considered by many to be the gold-standard in training environments. However, these training environments are expensive, provide many logistical challenges, and may not address the individual’s learning needs. Fortunately, advances in distance-based learning technologies have provided the foundation for inexpensive and effective learning environments that can simultaneously train and educate students on a much broader scale than live-action training environments. Specifically, intelligent tutoring systems (ITSs) have been proven to be very effective in improving learning outcomes. The Virtual Civilian Aeromedical Evacuation Sustainment Training (VCAEST) interface takes advantage of both of these technologies by enhancing a virtual world with a web-based ITS, AutoTutor LITE (Learning in Interactive Training Environments). AutoTutor LITE acts as a facilitator in the virtual world by providing just-in-time feedback, presenting essential domain knowledge, and by utilizing tutoring dialogues that automatically assess user input. This paper will discuss the results of an experimental evaluation of the VCAEST environment compared to an expert-led live-action training simulation.


Author(s):  
Naoufel Khayati ◽  
Wided Lejouad-Chaari

In this paper, we present a distributed collaborative system assisting physicians in diagnosis when processing medical images. This is a Web-based solution since the different participants and resources are on various sites. It is collaborative because these participants (physicians, radiologists, knowledgebasesdesigners, program developers for medical image processing, etc.) can work collaboratively to enhance the quality of programs and then the quality of the diagnosis results. It is intelligent since it is a knowledge-based system including, but not only, a knowledge base, an inference engine said supervision engine and ontologies. The current work deals with the osteoporosis detection in bone radiographies. We rely on program supervision techniques that aim to automatically plan and control complex software usage. Our main contribution is to allow physicians, who are not experts in computing, to benefit from technological advances made by experts in image processing, and then to efficiently use various osteoporosis detection programs in a distributed environment.


Author(s):  
Paul Smart

AbstractThe World Wide Web has had a notable impact on a variety of epistemically relevant activities, many of which lie at the heart of the discipline of knowledge engineering. Systems like Wikipedia, for example, have altered our views regarding the acquisition of knowledge, while citizen science systems such as Galaxy Zoo have arguably transformed our approach to knowledge discovery. Other Web-based systems have highlighted the ways in which the human social environment can be used to support the development of intelligent systems, either by contributing to the provision of epistemic resources or by helping to shape the profile of machine learning. In the present paper, such systems are referred to asknowledge machines. In addition to providing an overview of the knowledge machine concept, the present paper reviews a number of issues that are associated with the scientific and philosophical study of knowledge machines. These include the potential impact of knowledge machines for the theory and practice of knowledge engineering, the role of social participation in the realization of knowledge-based processes, and the role of standardized, semantically enriched data formats in supporting thead hocassembly of special-purpose knowledge systems and knowledge processing pipelines.


Author(s):  
Patrick S.W. Fong ◽  
Ka-chi Wong

Knowledge is regarded as the most important asset for sustainable success in today’s knowledge-based economy, and it has become the main competitive tool for many businesses. Proper capture and reuse of knowledge reduces the risk of “reinventing the wheel.” Building surveyors play a major role in building maintenance. Owing to the unique nature of building maintenance, building surveyors need sufficient knowledge and experience to facilitate their decision-making process. Apart from gaining this knowledge and experience by direct participation, learning from others is a sound alternative. However, insufficiencies have been found in the current practice on this aspect, and thus the aim of this chapter is to study whether a proposed Web-based prototype knowledge management system would be a feasible solution for capturing and reusing knowledge and experience in building maintenance. A questionnaire survey was conducted in this research to study the opinions of professional building surveyors on the capture and reuse of knowledge and experience in building maintenance, as well as the requirements of a proposed Web-based prototype system.


Author(s):  
Yongming Shi ◽  
Si Fan ◽  
Yun Yue

In the past two decades, computers and web-based technologies have created a computer-based focus in the field of education. The computer-supported teaching and learning has revolutionised the concept of education around the world, which creates both opportunities and challenges in the field of education. It is believed that computer-based technologies have developed to augment the traditional learning and teaching at all educational levels. Computer-supported education empowers learners by promoting the notions of learner-centred learning approach, encouraging interactions among students or between students and lecturer, and addressing the individualized learning needs. This chapter explains some important concepts in computer-supported education, and presents the learning theories that underpin this area. Furthermore, it discusses the benefits of web-based technologies for students at various levels and issues that require further research.


Author(s):  
Percy Kwok

Because of the ever changing nature of work and society under knowledge-based economy in the 21st century, students and teachers need to develop ways of dealing with complex issues and thorny problems that require new kinds of knowledge that they have not ever learned or taught (Drucker, 1999). Therefore, they need to work and collaborate with others. They also need to be able to learn new things from a variety of resources and people, and to investigate questions and bring their learning back to their dynamic life communities. There have arisen recent learning community approaches (Bereiter, 2002; Bielaczyc & Collins, 1999) and learning ecology (Siemens, 2003) or information ecology approaches (Capurro, 2003) to education. These approaches fit well with the growing emphasis on lifelong, lifewide learning and knowledge-building works. Following this trend, the Internet technologies have been translated into a number of strategies for teaching and learning (Jonassen, Howland, Moore, & Marra, 2003) with supportive development of one-to-one (e.g., e-mail posts), one-to-many (such as e-publications), and many-to-many communications (like video-conferencing). The technologies of computer-mediated communications (CMC) make online instructions possible and have the potential to bring enormous changes to student learning experience of the real world (Rose & Winterfeldt, 1998). It is because individual members of learning communities or ecologies help synthesize learning products via deep information processing processes, mutual negotiation of working strategies, and deep engagement in critical thinking, accompanied by an ownership of team works in those communities or ecologies (Dillenbourg, 1999). In short, technology in communities is essentially a means of creating fluidity between knowledge segments and connecting people in learning communities. However, this Webbased collaborative learning culture is neither currently emphasized in local schools nor explicitly stated out in intended school curriculum guidelines of formal educational systems in most societies. More than this, community ownership or knowledge-construction in learning communities or ecologies may still be infeasible, unless values in learning cultures are necessarily transformed after technical establishment of Web-based learning communities or ecologies.


2008 ◽  
pp. 1-1
Author(s):  
Kuo-Yu Liu ◽  
Herng-Yow Chen

Over the last decade, the emerging Web technologies have opened a new era for distance education, where online courses can be created and accessed in a very easy way not previously available. Many online courses based on HTML pages thus are now available in cyberspace for synchronous or asynchronous distance learning (Anderson, Beavers, VanDeGrift, & Videon, 2003; Gregory, 1999; Muller & Ottmann, 2000; Shi et al., 2003; Siddiqui & Zubairi, 2000). However, without the support of multimedia, the static HTML pages can only serve as different kinds of simple “dumb” lecture notes on a network. Thus most students may lose interest quickly and eventually give up self-learning (Zimmer, 2003). Furthermore, this kind of unguided, static HTML pages are clearly insufficient for diverse learning needs and for different knowledge domains. With the dramatic development of multimedia technologies, we can integrate various media and provide students with vivid multimedia lectures on the Web. For example, the presentation techniques of online language courses should stress the importance of multimedia (e.g., voice and video) and document interaction flexibility (e.g., random access and repeated play of a specific speech segment) much more than other courses do (Brett, 1998; McLoughlin, Hutchinson, & Koplin, 2002).


Author(s):  
Christopher Walton

In the previous chapter we described three languages for representing knowledge on the Semantic Web: RDF, RDFS, and OWL. These languages enable us to create Web-based knowledge in a standard manner with a common semantics. We now turn our attention to the techniques that can utilize this knowledge in an automated manner. These techniques are fundamental to the construction of the Semantic Web, as without automation we do not gain any real benefit over the current Web. There are currently two views of the Semantic Web that have implications for the kind of automation that we can hope to achieve: 1. An expert system with a distributed knowledge base. 2. A society of agents that solve complex knowledge-based tasks. In the first view, the Semantic Web is essentially treated a single-user application that reasons about some Web-based knowledge. For example, a service that queries the knowledge to answer specific questions. This is a perfectly acceptable view, and its realization is significantly challenging. However, in this book we primarily subscribe to the second view. In this more-generalized view, the knowledge is not treated as a single body, and it is not necessary to obtain a global view of the knowledge. Instead, the knowledge is exchanged and manipulated in a peer-to-peer (P2P) manner between different entities. These entities act on behalf of human users, and require only enough knowledge to perform the task to which they are assigned. The use of entities to solve complex problems on the Web is captured by the notion of an agent. In human terms, an agent is an intermediary who makes a complex organization externally accessible. For example, a travel agent simplifies the problem of booking a holiday. This concept of simplifying the interface to a complex framework is a key goal of the Semantic Web. We would like to make it straightforward for a human to interact with a wide variety of disparate sources of knowledge without becoming mired in the details. To accomplish this, we want to define software agents that act with similar characteristics to human agents.


2011 ◽  
pp. 1130-1139
Author(s):  
Adams Bodomo

At the beginning of the 21st century, we are faced with an age of rapid technological development in information and communication. Issues of educational reform have never been more urgent than now. One of the major challenges is how to design our educational system, in general, and our methods of instruction, in particular, to produce graduates who are better prepared to take up jobs in a knowledge-based environment characterized by a pervasive use of information communications technology (ICT). ICTs, especially modern digital ones, include various types of computers; digital cameras; local-area networking; the Internet and the World Wide Web; CD-ROMs and DVDs; and applications such as word processors, spreadsheets, tutorials, simulations, e-mail, digital libraries, computer-mediated conferencing, videoconferencing, and virtual reality (Blurton, 1999). Four main features of these modern digital ICTs make them stand out as very useful educational tools. These are integration of multimedia, flexibility of use, connectivity, and interactivity (Blurton, 1999). The main focus


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