Structuring the e-Learning Environment

2011 ◽  
pp. 195-220
Author(s):  
Katy Campbell
Keyword(s):  
Information Retrieval ◽  
Learning Environment ◽  
Information Architecture ◽  
Visual Design ◽  
Design Elements ◽  
Learning Content ◽  
E Learning ◽  
The Web ◽  
The Way

In this chapter, you will encounter some ideas about structuring the e-Learning environment so that your clients/users are able to easily access and use the learning content. The environment is where you reflect the structure of your domain by sequencing topics, showing concept relationships, and supporting reader interaction with the information. The way you organize the environment to support learning and information retrieval is known as information architecture. On the Web, the site architecture is revealed in the visual design, elements with which users interact. Visual design and the interactions it reflects are called the interface.

AWLA

2006 ◽  
pp. 254-270
Author(s):  
Manuel O. Cantero ◽  
Pedro P. Sanchez-Villalon
Keyword(s):  
Learning Environment ◽  
Language Learning ◽  
Interactive Systems ◽  
Web Based ◽  
The Core ◽  
Learning Content ◽  
E Learning ◽  
Constructivist Perspective ◽  
Enhanced Learning ◽  
The Web

As e-learning gets more widespread, its definition is becoming more distinctive, implying the use of the Web for learning. The Web’s original functionality was to provide access to materials located in servers. This has been the core strategy for e-learning. However, the Web is becoming more versatile. The new interactive Web functionalities are organized in services offered to users. The content-based Learning Management Systems are evolving into more interactive systems providing agent-like learning services rather than only learning content. By designing an interactive environment with a learning objective, we can develop an effective e-learning appliance: the application of strategic Web functionalities on a technologically enhanced learning environment. Designed under the constructivist perspective, A Writing e-learning Appliance (AWLA) is an organized set of interactive Web-based utilities that, when applied in a technologically enhanced learning environment, allow learners to develop their writing skill in language learning and fulfil writing activities in any other discipline, both individually and in collaboration.

Automatic Organization and Generation of Presentation Slides for E-Learning

2012 ◽  
Vol 10 (3) ◽  
pp. 35-52 ◽  
Author(s):  
K. Sathiyamurthy ◽  
T. V. Geetha
Keyword(s):  
Distance Education ◽  
Language Processing ◽  
Learning System ◽  
Learning Material ◽  
Content Creation ◽  
Learning Content ◽  
E Learning ◽  
Processing Techniques ◽  
The Web ◽  
Extract Information

The effectiveness of an e-learning system for distance education to a large extent depends on the relevancy and presentation of learning content to the learner. The ability to gather documents on a particular topic from the web and adapt the contents of the document to suit the learner is an important task from the content creation perspective of e-learning. For the developer of e-learning material the provision to automatically extract, organize, and present content material would improve its effectiveness. This paper proposes to extract information from documents using language processing techniques and organizing the content into appropriate presentation slides for learning purposes using domain ontology and learning oriented pedagogy ontology.

Online Learning Environments

2011 ◽  
pp. 678-685 ◽  
Author(s):  
Riu Hu ◽  
Shuyan Wang
Keyword(s):  
Online Learning ◽  
Learning Environment ◽  
Learning Environments ◽  
Communication Systems ◽  
The Internet ◽  
Electronic Communications ◽  
Online Learning Environments ◽  
Computer Communication ◽  
E Learning ◽  
The Web

Online learning, which was defined as a learning environment using computer communication systems for learning delivery and interaction (Harasim, 1990), has been involved into all facets of society’s education. Online learning can be considered as a subset of the category of e-learning because it refers specifically to learning that is occurring via the Internet or Intranet. Online learning environment normally refers to learning via electronic communications, coursework, and/or information posted on the Web, and through other instructional activities by using Internet.

Intelligent Adaptable e-Assessment for Inclusive e-Learning

2020 ◽  
pp. 1185-1199
Author(s):  
Lilyana Nacheva-Skopalik ◽  
Steve Green
Keyword(s):  
Human Rights ◽  
Learning Environment ◽  
Open Source ◽  
Learning System ◽  
Access To Education ◽  
Education Systems ◽  
Learning Content ◽  
E Learning ◽  
Individual Needs ◽  
The Individual

Access to education is one of the main human rights. Everyone should have access to education and be capable of benefiting from it. However there are a number who are excluded, not because of a lack of ability but simply because they have a disability or specific need which current education systems do not address. A learning system in which content, tools and interfaces can be personalised and adapted to the individual needs and preferences of a variety of learners, including those with disabilities, becomes inclusive. Assessment is an integral part of an e-learning environment and therefore it has to provide not only inclusive e-learning content but also inclusive e-assessment. The proposed research investigates an intelligent adaptable e-learning system for assessing students' level of skill, knowledge and understanding regardless of their disabilities or accessibility needs. It is based on an innovative use of world's first open source adaptable widget design and authoring toolkit (WIDGaT) as the prototyping environment.

A Software Platform for Enhancing Integrity in Online Testing

2014 ◽  
pp. 166-182
Author(s):  
Stu Westin
Keyword(s):  
Learning Environment ◽  
Software Platform ◽  
Web Based ◽  
Software Application ◽  
Perceived Needs ◽  
Custom Software ◽  
E Learning ◽  
Further Development ◽  
Examination Process ◽  
The Web

This chapter describes a software platform that is designed to facilitate the integrity of Web-based exams and assessments. The purpose of the chapter is to share the success of the approach and to promote its further development and use in the e-learning environment. The custom software application, which is named eTAP (electronic Test Administration Platform), has been developed by the author for use in his own courses and is designed in response to his perceived needs in this setting. In addition to e-cheating mitigation, the software addresses the issues of real-time attendance monitoring and activity logging, while providing a well-structured, consistent experience for the students and for the instructor. The assessment platform provided by eTAP uses a software sandbox mechanism to control the examination process. That is, once the application is started, the examinee is limited to specific sanctioned computer functionality and is restricted to a well-defined, relevant region of the Web.

Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 42-66
Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi
Keyword(s):  
Cluster Analysis ◽  
Academic Performance ◽  
Learning Environment ◽  
Learning Process ◽  
Recommendation System ◽  
Learning Systems ◽  
Traditional Learning ◽  
Huge Number ◽  
E Learning ◽  
The Web

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

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