scholarly journals E-Learning Assistant System Based on Virtual Human Interaction Technology

2007 ◽  
pp. 551-554 ◽  
Author(s):  
Xue Weimin ◽  
Xia Wenhong
Keyword(s):  
Human Interaction ◽  
Virtual Human ◽  
E Learning

scholarly journals The Application of Affective Computing Technology to E-Learning

2014 ◽  
pp. 109-128
Author(s):  
Nik Thompson ◽  
Tanya Jane McGill
Keyword(s):  
Affective Computing ◽  
Physiological State ◽  
Affective State ◽  
Significant Proportion ◽  
Human Interaction ◽  
Human Communication ◽  
Tutoring Systems ◽  
User Input ◽  
E Learning ◽  
New Generation

This chapter discusses the domain of affective computing and reviews the area of affective tutoring systems: e-learning applications that possess the ability to detect and appropriately respond to the affective state of the learner. A significant proportion of human communication is non-verbal or implicit, and the communication of affective state provides valuable context and insights. Computers are for all intents and purposes blind to this form of communication, creating what has been described as an “affective gap.” Affective computing aims to eliminate this gap and to foster the development of a new generation of computer interfaces that emulate a more natural human-human interaction paradigm. The domain of learning is considered to be of particular note due to the complex interplay between emotions and learning. This is discussed in this chapter along with the need for new theories of learning that incorporate affect. Next, the more commonly applicable means for inferring affective state are identified and discussed. These can be broadly categorized into methods that involve the user’s input and methods that acquire the information independent of any user input. This latter category is of interest as these approaches have the potential for more natural and unobtrusive implementation, and it includes techniques such as analysis of vocal patterns, facial expressions, and physiological state. The chapter concludes with a review of prominent affective tutoring systems in current research and promotes future directions for e-learning that capitalize on the strengths of affective computing.

Effective Implementation of an Interuniversity E-Learning Initiative

2014 ◽  
pp. 273-293
Author(s):  
Daniel Perez-Gonzalez ◽  
Pedro Soto-Acosta ◽  
Simona Popa
Keyword(s):  
Higher Education ◽  
Information And Communication Technologies ◽  
Higher Education Institutions ◽  
Communication Technologies ◽  
Human Interaction ◽  
Educational Approach ◽  
Class Environment ◽  
Information And Communication ◽  
E Learning ◽  
Spanish Higher Education

Education has expanded from the traditional in-class environment to the new digital phenomenon where teaching is assisted by Information and Communication Technologies (ICT). This wave of e-learning is challenging the effectiveness of the traditional educational approach still in place at higher education institutions. Academics and professionals agree that, to adapt higher education institutions to the 21st century, it is imperative to extend the use of ICT as well as the virtualization of many human-interaction activities. In this sense, public institutions and international reports suggest the need to deepen the application and study of e-learning within higher education as a means for achieving flexible, dynamic, and personalized e-learning initiatives. This chapter presents a case study that analyzes the implementation of a virtual interuniversity campus in which nine Spanish higher education institutions took part. For this purpose, the genesis of the project and the main characteristics of the virtual environment are described.

Replicating Human Interaction to Support E-Learning

2006 ◽  
pp. 494-503
Author(s):  
William A. Janvier ◽  
Claude Ghaoui
Keyword(s):  
Learning Styles ◽  
Text Messaging ◽  
Learning Experience ◽  
Human Interaction ◽  
Learning Tools ◽  
Tutoring Systems ◽  
Language Patterns ◽  
E Learning ◽  
Communication Preference ◽  
The Way

HCI-related subjects need to be considered to make e-learning more effective; examples of such subjects are: psychology, sociology, cognitive science, ergonomics, computer science, software engineering, users, design, usability evaluation, learning styles, teaching styles, communication preference, personality types, and neuro-linguistic programming language patterns. This article discusses the way some components of HI can be introduced to increase the effectiveness of e-learning by using an intuitive interactive e-learning tool that incorporates communication preference (CP), specific learning styles (LS), neurolinguistic programming (NLP) language patterns, and subliminal text messaging. The article starts by looking at the current state of distance learning tools (DLTs), intelligent tutoring systems (ITS) and “the way we learn”. It then discusses HI and shows how this was implemented to enhance the learning experience.

A Model for Meaningful E-Learning at Canadian Universities

2015 ◽  
pp. 78-113 ◽  
Author(s):  
Lorraine Carter ◽  
Vince Salyers
Keyword(s):  
Research Study ◽  
Institutional Support ◽  
University Research ◽  
Human Interaction ◽  
Support Design ◽  
Canadian Universities ◽  
The World ◽  
It Support ◽  
E Learning ◽  
Learning Scenarios

There is no questioning the growth of e-learning in universities around the world. Whether or not we are doing it effectively and meaningfully is where the uncertainty lies. In this chapter, two e-learning researchers from Canada offer their perspective on e-learning in that country. This perspective includes a snapshot of the Canadian e-learning landscape as well as the results of a multi-university research study called the Meaningful E-Learning or MEL project. The authors explore four themes derived from the MEL project and represented by the acronym HIDI (human interaction, IT support, design, and institutional support) in relation to three e-learning scenarios. While each element of HIDI is recognized as important, the criticality of institutional support and design cannot be overemphasized in the pursuit of excellence in e-learning.

scholarly journals Computer-Human Interaction and Collaboration: Challenges and Prospects

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 616
Author(s):  
Manuel Ortega
Keyword(s):  
Artificial Intelligence ◽  
Augmented Reality ◽  
Learning Environments ◽  
Learning Systems ◽  
Human Interaction ◽  
Collaborative Systems ◽  
Learner Support ◽  
La Mancha ◽  
E Learning ◽  
The University

Through a series of projects carried out by the Computer–Human Interaction and COllaboration (CHICO) group of the University of Castilla-La Mancha, some proposals are presented to improve the current e-Learning systems by making use of different paradigms of human-computer interaction. Synchronous and asynchronous collaborative systems, ubiquitous computing, and augmented reality can improve the current learning environments. The use of artificial intelligence mechanisms for both learner support and assessment complements these techniques. Emphasis is also placed on the use of automatic application generation techniques using models.

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