Notice of Retraction: Using Ontological Engineering for Computer Education on Online E-learning Community System

2009 ◽  
Author(s):  
Wei-Shuo Lo ◽  
I-Chu Chung ◽  
Han-Jie Hsu
Keyword(s):  
Learning Community ◽  
Computer Education ◽  
Ontological Engineering ◽  
Community System ◽  
E Learning

scholarly journals SMARTPHONE E-LEARNING PENETRATION ON COMPUTER SCIENCE AND COMPUTER EDUCATION STUDENTS

2018 ◽  
Author(s):  
Ramadiani Ramadiani ◽  
Ahmad Nizar Hidayanto ◽  
Azainil Azainil
Keyword(s):  
Computer Science ◽  
Computer Education ◽  
Education Students ◽  
E Learning

scholarly journals Designing and Implementing Curriculum for Students with Special Needs: A Case Study of a Thinking Curriculum

2006 ◽  
Vol 1 (1) ◽  
Author(s):  
Tas Adam ◽  
Anna Rigoni ◽  
Arthur Tatnall
Keyword(s):  
Special Needs ◽  
Learning Community ◽  
Curriculum Design ◽  
School Environment ◽  
Pilot Project ◽  
Students With Special Needs ◽  
Knowledge And Skills ◽  
E Learning ◽  
Transition Issues

Over the years, ICT has emerged as a platform that is seen to enhance the knowledge and skills of students in mainstream learning environments. A growing number of schools however, now provide a separate alternative enrolment for students with special needs. Although there are valid opinions on what is the best method of educating these students (integration vs. segregation) it has been noted by many researchers that technology can play a major role in the learning process. In this paper, an e-learning paradigm is applied in a holistic manner to a special learning community with the aim of determining an appropriate e-learning model and platform to support curriculum design. The paper focuses on a pilot project at a suburban school for students with special needs. The aims of the project are to observe the level of immersion and engagement and its impact on curriculum outcomes of the group. This research project further investigates the transition issues and approaches for this group and the links and relationships beyond the normal school environment. The project has been funded by the School of Information Systems and the School Community.

E-Learning Ecosystems Through the Co-Creation of Value From Service Ecosystems

2019 ◽  
pp. 106-123
Author(s):  
Lorna Uden
Keyword(s):  
Learning Environment ◽  
Learning Community ◽  
Physical Environment ◽  
Service System ◽  
Learning System ◽  
E Learning ◽  
Service Ecosystems ◽  
Learning Ecosystem ◽  
Learning Professionals

Recently the e-learning community has begun to view the e-learning environment as a self-sustaining ecosystem that provides learners with the tools and surroundings they need to achieve their learning. An e-learning ecosystem is a community where organisms interact with one another and with their physical environment. Every organism has a role to fulfil and there must be a harmonious balance between all aspects of the ecosystem in order for the organisms to flourish and evolve. An e-learning system can be considered as a service system—the application of competences for the benefit of another. What exactly are the characteristics of an e-learning ecosystem and how can e-learning professionals create such an ecosystem that provide values for the different elements of the e-learning ecosystem? This chapter shows the concepts of service ecosystems that can be used to design an effective e-learning ecosystem that will provide value to the different stakeholders involved.

Building a Learning Community Online

2011 ◽  
pp. 309-321
Author(s):  
Tessa Owens ◽  
Petra Luck
Keyword(s):  
Online Learning ◽  
Learning Community ◽  
Community Of Practice ◽  
Student Evaluations ◽  
Early Years ◽  
Early Years Education ◽  
Education And Care ◽  
E Learning

This chapter reviews a pilot e-learning project at Liverpool Hope University Col-lege. It will illustrate an approach to online learning aimed at students working inthe early years education and care sector and attempts to demonstrate the devel-opment of a “community of practice.” This chapter will discuss how the contextinformed the rationale for the approaches taken by the staff team and providescommentary from student evaluations highlighting their experiences.

An Ontology-Driven System for E-Learning and Knowledge Management

2010 ◽  
pp. 302-324 ◽  
Author(s):  
Gilbert Paquette
Keyword(s):  
Knowledge Management ◽  
Research Network ◽  
Software Systems ◽  
Operation System ◽  
Ontological Engineering ◽  
Modeling Tool ◽  
Graphic Model ◽  
Driven System ◽  
E Learning ◽  
Run Time

Between 2003 and 2008, within the LORNET research network (www.lornet.org), our team has been designing and developing TELOS, an innovative operation system for eLearning and knowledge management environments that is driven by a technical ontology. After presenting the underlying principles of this system, we will develop a graphic model of the resulting ontology that captures the conceptual architecture of the system. Next, we will present the main aggregation modeling tool and the way it is related to the TELOS Ontology. Finally, we will illustrate how the ontology is used to drive the system at run-time. The conclusion will discuss the contri- bution of this research to the field of ontological engineering of software systems.

E-Learning Environment

2005 ◽  
pp. 1001-1005
Author(s):  
Mizue Kayama ◽  
Toshio Okamoto
Keyword(s):  
Learning Community ◽  
The Internet ◽  
Computer Assisted ◽  
Concept System ◽  
New Learning ◽  
E Learning ◽  
The Many ◽  
Assisted Instruction ◽  
Learning Ecology ◽  
Learning Issues

Nowadays, the concept/system of e-learning (or eLearning) is widespread with the advent and prevalence of the Internet. Via the Internet, people can communicate with each other at anytime and from anywhere. People can also share, rebuild, stock, and reuse various kinds of information. Here, it is clear that e-learning gets citizenship in the educational society instead of CAI (computer-assisted instruction) and CMI (computer-managed instruction). As a response to society’s advance, it is necessary to construct a new learning ecology, such as a learning organization or a learning community. To date, the need for an understanding of e-learning issues has not been met by a coherent set of principles for examining past work and plotting fruitful directions. Obviously, it would be difficult to document the many seeds sown now.

From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior

2011 ◽  
pp. 313-325
Author(s):  
Klaus Jantke ◽  
Christoph Igel ◽  
Roberta Sturm
Keyword(s):  
Learning Community ◽  
Information And Communication Technologies ◽  
Process Model ◽  
Communication Technologies ◽  
Technology Enhanced Learning ◽  
Learning Approaches ◽  
Learning Tools ◽  
It Systems ◽  
Information And Communication ◽  
E Learning

Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most current IT systems appear as more or less complex tools. The more ambitious the problems in the application domain are, the more complex are the tools. This is one of the key obstacles to a wider acceptance of technology enhanced learning approaches (e-learning, for short). In computer science, in general, and in e-learning, in particular, we do need a paradigmatic shift from tools of a growing complexity to intelligent assistants to the human user. Computerized assistants that are able to adapt to their human users’ needs and desires need some ability to learn. In e-learning, in particular, they need to learn about the learner and to build an internal model of the learner as a basis of adaptive system behavior. Steps toward assistance in e-learning are systematically illustrated by means of the authors’ e-learning projects and systems eBuT and DaMiT. These steps are summarized in some process model proposed to the e-learning community.

From E-Learning Tools to Assistants by Learner Modelling and Adaptive Behavior

2007 ◽  
pp. 212-231 ◽  
Author(s):  
Klaus Jantke ◽  
Christoph Igel ◽  
Roberta Sturm
Keyword(s):  
Learning Community ◽  
Information And Communication Technologies ◽  
Process Model ◽  
Communication Technologies ◽  
Technology Enhanced Learning ◽  
Learning Approaches ◽  
Learning Tools ◽  
It Systems ◽  
Information And Communication ◽  
E Learning

Humans need assistance in learning. This is particularly true when learning is supported by modern information and communication technologies. Most current IT systems appear as more or less complex tools. The more ambitious the problems in the application domain are, the more complex are the tools. This is one of the key obstacles to a wider acceptance of technology enhanced learning approaches (e-learning, for short). In computer science, in general, and in e-learning, in particular, we do need a paradigmatic shift from tools of a growing complexity to intelligent assistants to the human user. Computerized assistants that are able to adapt to their human users’ needs and desires need some ability to learn. In e-learning, in particular, they need to learn about the learner and to build an internal model of the learner as a basis of adaptive system behavior. Steps toward assistance in e-learning are systematically illustrated by means of the authors’ e-learning projects and systems eBuT and DaMiT. These steps are summarized in some process model proposed to the e-learning community.

Sign in / Sign up

Export Citation Format

Share Document