Cloud-Based Learning

2018 ◽  
pp. 183-212
Author(s):  
Luc Zwartjes
Keyword(s):  
Social Context ◽  
Learning Environment ◽  
Virtual Learning Environment ◽  
Learning Paradigm ◽  
Personal Learning ◽  
Personalised Learning ◽  
Personal Learning Environment ◽  
Different Types ◽  
E Learning

The chapter initially presents styles and types of education, clarifying the differences between differentiation, individualisation and personalisation. To implement personalised learning the learning paradigm must be adopted. According to research we can distinguish different types: e-learning, i-learning, m-learning and u-learning. Many organizations have developed a virtual learning environment (VLE) as a supplement to the traditional type of education. So the existing VLE should be adjusted to a personal learning environment (PLE) that places the focus on the appropriation of different tools and resources by the learner, whereby the learner is situated within a social context which influences the way in which they use media, participate in activities and engage in communities. Finally, a checklist with criteria has been used to weigh the quality of personalised learning courses. This work was realized in the context of the “School on the Cloud” Project.

A Hybrid Analysis of E-Learning Types and Knowledge Sharing Measurement Indicators

2014 ◽  
pp. 60-70
Author(s):  
Davood Qorbani ◽  
Iman Raeesi Vanani ◽  
Babak Sohrabi ◽  
Peter Forte
Keyword(s):  
Learning Environment ◽  
Knowledge Sharing ◽  
Conceptual Model ◽  
Learning Environments ◽  
Hybrid Analysis ◽  
Different Types ◽  
E Learning ◽  
Social Organizational ◽  
Learning Types

E-learning as a method of effective transference of knowledge is being widely used. This chapter introduces a conceptual model that shows administrators/directors of e-learning environments how to recognize and utilize different sets of knowledge sharing indicators (a combination of individual, social, organizational, and technical indicators) to enhance the quality of learning in e-learning environments. A model in which different types of e-learning can be employed is introduced and elaborated. Then, several knowledge-sharing indicators that have the potential of facilitating and enhancing the e-learning environment are presented. Finally, the conceptual model of knowledge sharing indicators to facilitate different types of e-learning environments is provided and discussed.

scholarly journals A Social Web-Based Personalized Learning Environment: Proposing a PLE

2020 ◽  
Vol 8 (5) ◽  
pp. 3420-3424
Keyword(s):  
Learning Environment ◽  
Object Representation ◽  
Learning Preferences ◽  
Technology Enhanced Learning ◽  
Knowledge Modeling ◽  
Web Based ◽  
Personal Learning ◽  
Personalised Learning ◽  
E Learning ◽  
Enhanced Learning

The nature of e-learning has been advanced in the manner of how it structures with the advance of Web 2.0 and 3.0. Contemporary educational hypermedia is slowly but surely providing personalised user experience. Research in technology-enhanced learning is now more student oriented, in other words it is as a personalised learning environment. But, according to the progress of projects which has been published, it has been said that personal learning environment is left as a theory and the field has been faded. In this paper we have proposed our model by providing learners with three learning object representation options. In which users will have options to get either up to date content or mostly advanced content first or according to their learning preferences. Domain and knowledge modeling features are also detailed. Finally, empirical results for the affect values of the model were presented.

Personal Learning Environment Box (PLEBOX): A new approach to E-learning platforms

2011 ◽  
Vol 21 (S1) ◽  
pp. E100-E109 ◽  
Author(s):  
Tiago M. C. Simões ◽  
Joel J. P. C. Rodrigues ◽  
Isabel de la Torre
Keyword(s):  
Learning Environment ◽  
New Approach ◽  
Personal Learning ◽  
Personal Learning Environment ◽  
E Learning ◽  
Learning Platforms

Evolving a Social Networking Platform into a Smart Personalised Learning Environment (PLE) or the Other Way Around

2014 ◽  
Vol 3 (2) ◽  
pp. 1-24 ◽  
Author(s):  
Steve Goschnick
Keyword(s):  
Learning Environment ◽  
Social Networking ◽  
Learning Environments ◽  
Data Structures ◽  
Learning Experience ◽  
Management Systems ◽  
Personal Learning ◽  
Personalised Learning ◽  
Personal Learning Environment ◽  
The Individual

The future of learning environments lies with the merging of the better aspects of Learning Management Systems (LMS), with those popularised in Social Networking platforms, to personalise the individual learning experience in a PLE (Personal Learning Environment). After examining the details of a particularly flexible LMS, followed by the investigation of several key data structures behind the Facebook social networking platform, this paper then demonstrates how such a merging can be done at the conceptual schema level, and presents a list of novel features that it then enables.

A Hybrid Analysis of E-Learning Types and Knowledge Sharing Measurement Indicators

2016 ◽  
pp. 395-405
Author(s):  
Davood Qorbani ◽  
Iman Raeesi Vanani ◽  
Babak Sohrabi ◽  
Peter Forte
Keyword(s):  
Learning Environment ◽  
Knowledge Sharing ◽  
Conceptual Model ◽  
Learning Environments ◽  
Hybrid Analysis ◽  
Different Types ◽  
E Learning ◽  
Social Organizational ◽  
Learning Types

E-learning as a method of effective transference of knowledge is being widely used. This chapter introduces a conceptual model that shows administrators/directors of e-learning environments how to recognize and utilize different sets of knowledge sharing indicators (a combination of individual, social, organizational, and technical indicators) to enhance the quality of learning in e-learning environments. A model in which different types of e-learning can be employed is introduced and elaborated. Then, several knowledge-sharing indicators that have the potential of facilitating and enhancing the e-learning environment are presented. Finally, the conceptual model of knowledge sharing indicators to facilitate different types of e-learning environments is provided and discussed.

Specification of an Adaptable and Inclusive E-Learning Support System

2010 ◽  
pp. 207-227
Author(s):  
Steve Green
Keyword(s):  
Learning Environment ◽  
Support System ◽  
Learning Support ◽  
User Profiles ◽  
Personal Learning ◽  
Personal Learning Environment ◽  
Learning Support System ◽  
E Learning

The chapter outlines the problems associated with inclusive e-learning and the role that user profiles and an adaptation service can have to support personalization. The chapter introduces the idea of an Adaptable Personal Learning Environment (APLE) and looks at how one component, the Transformation, Augmentation and Substitution Service (TASS), can be formally specified using Prolog. The compliance with a range of standards is identified: in particular the IMS ACCLIP and ACCMD standards for accessible learner profiles and learner object metadata and the AccessForAll proposals. The chapter also considers issues of IMS and SCORM content packaging, learner information profiles and the JISC definitions for a Personal Learning Environment, all within the context of inclusive e-Learning support.

THE PROCESS OF DIGITALIZATION OF EDUCATIONAL INSTITUTIONS

2020 ◽  
Author(s):  
Муса Увайсович Ярычев
Keyword(s):  
Learning Environment ◽  
Education System ◽  
New Teacher ◽  
Educational Institutions ◽  
Quality Of Education ◽  
Necessary Condition ◽  
Teacher Competencies ◽  
Important Condition ◽  
E Learning

В статье рассматривается вопрос о цифровизации школы, как важном условии повышения качества образования. Организованная при помощи электронных форм среда обучения предоставляет ученикам большую самостоятельность. Необходимым условием совершенствования системы образования выступает создание новых, необходимых для цифровой экономики компетенций педагога. The article considers the issue of school digitalization as an important condition for improving the quality of education. The e-learning environment provides students with greater independence. A necessary condition for improving the education system is the creation of new teacher competencies necessary for the digital economy.

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