scholarly journals Data Communications and E-Learning

2005 ◽  
pp. 685-690
Author(s):  
Michael W. Dixon ◽  
Johan M. Karlsson ◽  
Tanya J. McGill
Keyword(s):  
Online Education ◽  
Learning Objects ◽  
Information And Communications Technology ◽  
Mediated Learning ◽  
Web Based ◽  
E Learning ◽  
Internet Support ◽  
Computer Based ◽  
Computer Aided Learning ◽  
And Training

Information and communications technology (ICT) has increasingly influenced higher education. Computer-based packages and other learning objects provide a useful supplement to students studying conventionally by illustrating aspects of the curriculum. Other packages are directed at aspects of course administration such as automated assessment (for example, see Randolph et al. (2002)). Initially such software and materials played only a supplementary role in course offerings, but this has changed rapidly. For example, Coleman et al. (1998) describe a successful early attempt to replace all lecturing with computer-aided learning. Remote delivery of courses also became a viable option because of the advent of the WWW. For example, Petre and Price (1997) report on their experiences conducting electronic tutorials for computing courses. Online education of various sorts is now routinely available to vast numbers of students (Alexander, 2001; Chen & Dwyer, 2003; Peffers & Bloom, 1999). Various terms have been used to label or describe forms of education supported by information technology. These include e-learning (e.g., Alexander, 2001; Campbell, 2004), Web-based learning (e.g. Huerta, Ryan & Igbaria, 2003; Khosrow-Pour, 2002), online learning (e.g., Simon, Brooks & Wilkes, 2003), distributed learning and technology-mediated learning (e.g., Alavi & Leidner, 2001); with e-learning probably the most commonly used term used to describe education and training that networks such as the Internet support.

scholarly journals Data Communications and E-Learning

2011 ◽  
pp. 908-913 ◽  
Author(s):  
Michael W. Dixon ◽  
Johan M. Karlsson ◽  
Tanya J. McGill
Keyword(s):  
Online Learning ◽  
Online Education ◽  
Global Economy ◽  
Learning Objects ◽  
Information And Communications Technology ◽  
Learning Needs ◽  
Mediated Learning ◽  
E Learning ◽  
Internet Support ◽  
And Gender

Information and communications technology (ICT) has increasingly influenced higher education. Computer-based packages and other learning objects provide a useful supplement to students studying conventionally by illustrating aspects of the curriculum. Other packages are directed at aspects of course administration such as automated assessment (for example, see Randolph et al. (2002)). Initially such software and materials played only a supplementary role in course offerings, but this has changed rapidly. For example, Coleman et al. (1998) describe a successful early attempt to replace all lecturing with computer-aided learning. Remote delivery of courses also became a viable option because of the advent of the WWW. For example, Petre and Price (1997) report on their experiences conducting electronic tutorials for computing courses. Online education of various sorts is now routinely available to vast numbers of students (Alexander, 2001; Chen & Dwyer, 2003; Peffers & Bloom, 1999). Various terms have been used to label or describe forms of education supported by information technology. These include e-learning (e.g., Alexander, 2001; Campbell, 2004), Web-based learning (e.g. Huerta, Ryan & Igbaria, 2003; Khosrow-Pour, 2002), online learning (e.g., Simon, Brooks & Wilkes, 2003), distributed learning and technology- mediated learning (e.g., Alavi & Leidner, 2001); with e-learning probably the most commonly used term used to describe education and training that networks such as the Internet support. E-learning has become of increasing importance for various reasons. These include the rise of the information and global economy and the emergence of a consumer culture. Students demand a flexible structure so that they can study, work and participate in family life at the same time (Campbell, 2004). This flexibility is reflected in alternative delivery methods that include online learning and Internet use. We have also become more sensitive to cultural and gender differences, and to the learning needs of the challenged. These needs may be addressed by e-learning (Campbell, 2004).

Customisation and the Interprofessional Application of E-Learning Objects

2010 ◽  
pp. 275-285
Author(s):  
Helen M. Lynch ◽  
Kerry Trabinger
Keyword(s):  
Learning Objects ◽  
Training System ◽  
Learning Object ◽  
Vocational Education And Training ◽  
Web Based ◽  
Learning Contexts ◽  
E Learning ◽  
Learning Object Repository ◽  
Tools And Techniques ◽  
And Training

Toolbox learning objects are a class of pedagogically rich, sophisticated e-learning objects created for the Australian vocational education and training system (VET). Their richness makes them very attractive to teachers and trainers working across a range of learning contexts but at the same time makes them difficult to reuse. While these e-learning objects have been designed to be customised and are often repurposed for use within one vocational context, an approach is emerging that sees them increasingly customised for reuse across a range of intervocational or interprofessional contexts. This chapter describes this approach, focusing on the tools and techniques of customisation, and presents a model of reuse that can be implemented elsewhere with any pedagogically rich web based e-learning object in intervocational and interprofessional settings. Toolbox learning objects are freely available to anyone with internet access from the Toolbox Learning Object Repository website. The Repository is fully searchable and objects can be previewed from the Repository website and downloaded without charge for educational use. This chapter will be of value to teachers, trainers and academics who are exploring the reuse of pedagogically rich web based e-learning resources for interprofessional or intervocational education.

scholarly journals THE ROLE OF ELECTRONIC EDUCATION IN THE EDUCATION SYSTEM

2021 ◽  
pp. 183-189
Keyword(s):  
Online Education ◽  
Education System ◽  
Web Based ◽  
Computer Based Training ◽  
E Learning ◽  
Pros And Cons ◽  
Computer Based ◽  
Electronic Education ◽  
System Today

The word e-learning is used synonymously with virtual knowledge, online education, computer-based training, web-based knowledge, and networked education. Whatever may be the explanation of e-learning, it is revamping the style traditional academia teaches and the learners grasp. E-Learning has made education easy for everyone including office-goers, housewives etc without compromising much. E-Learning is effective and powerful. It makes information easy to grasp and absorb. It imparts enhanced ability to learn and implement among the learners. This article is about the changes that are entering the education system today through information technology. In addition, the pros and cons of distance learning, which is widely used today, are extensively analyzed in this article.

scholarly journals HyCo – An Authoring Tool to Create Semantic Learning Objects for Web-Based E-learning Systems

2004 ◽  
pp. 344-348 ◽  
Author(s):  
Francisco J. García ◽  
Adriana J. Berlanga ◽  
Maria N. Moreno ◽  
Javier García ◽  
Jorge Carabias
Keyword(s):  
Learning Objects ◽  
Learning Systems ◽  
Authoring Tool ◽  
Web Based ◽  
Semantic Learning ◽  
E Learning

scholarly journals INTELLIGENT VOICE-BASED E-EDUCATION SYSTEM: A FRAMEWORK AND EVALUATION

2010 ◽  
pp. 327-334
Author(s):  
Ambrose Azeta ◽  
Charles K. Ayo ◽  
Aderemi Aaron Anthony Atayero ◽  
Nicholas Ikhu-Omoregbe
Keyword(s):  
Education System ◽  
User Satisfaction ◽  
Visually Impaired ◽  
Learning Objects ◽  
Usability Study ◽  
Web Based ◽  
System A ◽  
Autonomous Decision ◽  
E Learning ◽  
Phone Access

Voice-based web e-Education is a technology-supported learning paradigm that allows phone-access of learners to e-Learning web-based applications. These applications are designed mainly for the visually impaired. They are however lacking in attributes of adaptive and reusable learning objects, which are emerging requirements for applications in these domain. This paper presents a framework for developing intelligent voice-based applications in the context of e-Education. The framework presented supports intelligent components such as adaptation and recommendation services. A prototype Intelligent Voice-based E-Education System (iVEES) was developed and subjected to test by visually impaired users. A usability study was carried out using the International Standard Organization’s (ISO) 9241-11 specification to determine the level of effectiveness, efficiency and user satisfaction. Report of our findings shows that the application is of immense benefit, based on the system’s inherent capacity for taking autonomous decision that are capable of adapting to users’ requests.

A Holistic Professional Development Model

2017 ◽  
pp. 259-284
Author(s):  
Julie Ellen Golden ◽  
Victoria Brown
Keyword(s):  
Professional Development ◽  
Online Education ◽  
Program Planning ◽  
Future Research ◽  
Faculty Professional Development ◽  
Web Based ◽  
Online Curriculum ◽  
Professional Development Model ◽  
E Learning ◽  
Faculty Transition

Institutions struggle to develop online curriculum that meets increasing student demands for online education. The explosive growth of online learning necessitates that many higher education faculty transition from a traditional classroom to a web-based format, sometimes with little or no training. This chapter describes a holistic online faculty professional development (PD) model developed through use of a concerns-based adoption model (CBAM). The CBAM model provides an affective and behavioral lens for managing change. Through two of CBAM's components called stages of concern and levels of use, a PD plan was constructed that approaches the transition to distance learning as an ongoing process rather than simply as technology training. The holistic PD model considers each faculty member as an individual with unique needs. Components of the PD model and new Center for E-Learning (CeL) development and program building are explained. Impact on faculty and students and recommendations for program planning and future research are included.

Infallibility of Innovative Artefacts

2010 ◽  
pp. 86-106
Author(s):  
Karim A. Remtulla
Keyword(s):  
Adult Learning ◽  
Technological Innovation ◽  
Learning Objects ◽  
Cultural Impacts ◽  
Cultural Paradigm ◽  
E Learning ◽  
Learning Scenarios ◽  
Learning Research ◽  
Similarities And Differences ◽  
And Training

This chapter discusses the cultural paradigm of ‘innovative artefacts’ in the workplace. This cultural paradigm is one of two proposed paradigms that shape socio-culturally insensitive, technological artefactual approaches to workplace e-learning research and study. Subsequently, this paradigm also socially reshapes workplace e-leaning historicity for workplace adult education and training, resulting in socio-cultural impacts on the workforce. Technological innovation and business process change dominate workplace transformations. At the same time, any discussion on the socio-cultural impacts of workplace e-learning must also take into account that workplace e-learning is arguably both a technological innovation and as well as a business administration process, all of which affect adult learning in the workplace. Critical theory problematizes these relations between technology and technological progress as well as workplace e-learning. The ‘presumption of neutrality’ is highlighted as it influences the shaping of workplace e-learning and its dubious, shifting, and reversible impacts on the workforce. A focused discourse analysis of the connotations and assumptions that have further shaped e-learning for the workplace over the past decade illustrate workplace e-learning’s changing emphases over the years, from administrational to associational to artefactual, today. The technological artefacts of workplace elearning now deserve closer scrutiny. The similarities and differences between ‘online learning and simulations’, ‘learning objects’, and ‘learning management systems’ are highlighted as each of these technological artefacts, more often than not, is taken as equivalent to and a substitute for learning. The ‘presumption of neutrality’ now also comes to fruition in the ‘infallibility paradox’ for workplace e-learning. For workplace e-learning, adherence to the belief in the infallibility of innovative artefacts leads to two workplace e-learning scenarios: (a) instrumental instruction (see Chapter 7); and, (b) rational training (see Chapter 8).

Standards for Learning Objects and Learning Designs

2011 ◽  
pp. 827-850
Author(s):  
Morag Munro ◽  
Claire Kenny
Keyword(s):  
Future Development ◽  
Education And Training ◽  
Learning Objects ◽  
Design And Development ◽  
Learning Standards ◽  
E Learning ◽  
Critical Overview ◽  
And Training ◽  
Current Standards

E-learning standards are a contentious topic amongst educators, designers, and researchers engaged in the development of learning objects and learning designs. There is disagreement regarding the relative benefits and limitations of standards, while the relevance of standards to some education and training contexts has been questioned. It may be difficult for designers and educators to be sure that they need to implement standards, let alone to choose the most appropriate one from the plethora available. This chapter aims to provide individuals involved in the design and development of learning objects and learning designs with a wide-ranging critical overview of e-learning standards. It first traces the evolution of standards, and then examines their application in the present day. Finally, the chapter considers some of the limitations and criticisms of current standards, and suggests some possible directions for future development.

Conclusions

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Web Search ◽  
Web Based ◽  
E Learning ◽  
Computer Based ◽  
Intelligent Devices ◽  
Automated Data Integration ◽  
The Web

At the start of this book we outlined the challenges of automatic computer based processing of information on the Web. These numerous challenges are generally referred to as the ‘vision’ of the Semantic Web. From the outset, we have attempted to take a realistic and pragmatic view of this vision. Our opinion is that the vision may never be fully realized, but that it is a useful goal on which to focus. Each step towards the vision has provided new insights on classical problems in knowledge representation, MASs, and Web-based techniques. Thus, we are presently in a significantly better position as a result of these efforts. It is sometimes difficult to see the purpose of the Semantic Web vision behind all of the different technologies and acronyms. However, the fundamental purpose of the Semantic Web is essentially large scale and automated data integration. The Semantic Web is not just about providing a more intelligent kind of Web search, but also about taking the results of these searches and combining them in interesting and useful ways. As stated in Chapter 1, the possible applications for the Semantic Web include: automated data mining, e-science experiments, e-learning systems, personalized newspapers and journals, and intelligent devices. The current state of progress towards the Semantic Web vision is summarized in Figure 8.1. This figure shows a pyramid with the human-centric Web at the bottom, sometimes termed the Syntactic Web, and the envisioned Semantic Web at the top. Throughout this book, we have been moving upwards on this pyramid, and it should be clear that a great deal of progress that has been made towards the goal. This progress is indicated by the various stages of the pyramid, which can be summarized as follows: • The lowest stage on the pyramid is the basic Web that should be familiar to everyone. This Web of information is human-centric and contains very little automation. Nonetheless, the Web provides the basic protocols and technologies on which the Semantic Web is founded. Furthermore, the information which is represented on the Web will ultimately be the source of knowledge for the Semantic Web.

Towards a Personalized E-Learning System

2011 ◽  
pp. 2124-2134
Author(s):  
Elvis Wai Chung Leung ◽  
Qing Li
Keyword(s):  
Online Education ◽  
Economic Benefit ◽  
Learning System ◽  
Development Cost ◽  
Web Based ◽  
Course Materials ◽  
Web Based Learning ◽  
Interactive Environment ◽  
E Learning ◽  
The Web

To cope with the increasing trend of learning demand and limited resources, most universities are taking advantage of Web-based technology for their distance education or e-learning (Montelpare & Williams, 2000). One of the reasons is due to the significant price drop of personal computers in recent decades; the Internet and multimedia have penetrated into most households. Moreover, most students prefer to learn from an interactive environment through a self-paced style. Under the Web-based learning model, students can learn anytime, anywhere because they are not required to go to school on schedule (Appelt, 1997). Meanwhile, universities also enjoy the economic benefit due to the large student base that can share the development cost of course materials and other operational expenses. Gradually, more and more universities follow this similar way to provide online education.

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