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.

scholarly journals Estudio cuantitativo sobre el uso docente de herramientas teleformativas en el ámbito de la programación y bases de datos

2010 ◽  
pp. a133
Author(s):  
Pablo César Muñoz Carril ◽  
Mercedes González Sanmamed
Keyword(s):  
Virtual Environments ◽  
Learning Environments ◽  
Teaching Experience ◽  
Learning Systems ◽  
E Learning ◽  
Inferential Analysis ◽  
The University ◽  
Entornos Virtuales

El artículo que presentamos muestra los resultados más significativos obtenidos en un estudio cuantitativo tipo "survey", desarrollado con docentes de la Universidad de A Coruña que utilizaban sistemas teleformativos como suplemento a sus clases presenciales. Uno de los objetivos clave de dicha investigación se centraba en conocer cuál era el nivel de aplicación y uso que el profesorado universitario realizaba respecto a herramientas tele-educativas pertenecientes al área de programación y bases de datos. Los análisis inferenciales realizados determinaron que existían variables de tipo profesional (como la "experiencia docente utilizando entornos virtuales" y la "categoría administrativa") que influían de forma significativa en el nivel de aplicación y uso que mostraba el profesorado en el área de programación y bases de datos bajo contextos teleformativos.  AbstractThis article shows most relevant results obtained in a survey developed with professors from the University of A who use e-learning systems to complement their lecture classes. The main objective of the research was to identify how much the professors used telematic applications and tools in the programming area and databases at the e-learning environments. The inferential analysis performed showed that there are certain variables (such as "teaching experience using virtual environments" and "administrative category"), which significantly influenced the level of application and use that showed teachers in the programming area and databases at the e-learning environments.

Considering Students' Emotions in Computer-Mediated Learning Environments

2006 ◽  
pp. 122-138 ◽  
Author(s):  
Patrícia A. Jaques ◽  
Rosa M. Viccari
Keyword(s):  
Artificial Intelligence ◽  
Human Computer Interaction ◽  
Learning Environments ◽  
State Of The Art ◽  
Learning Systems ◽  
New Work ◽  
Mediated Learning ◽  
Current State ◽  
Computer Mediated ◽  
E Learning

This text aims to present the current state of the art of the e-learning systems that consider the student’s affect. It presents the perspectives adopted by researchers for the solution of problems (for example, which kind of tools we might use to recognize users’ emotions) and also some better-known works in order to exemplify. It also describes the necessary background to understand these studies, including some concepts in the fields of Artificial Intelligence, Computers in Education, and Human-Computer Interaction, and a brief introduction on the main theories about emotion. The authors conclude the chapter by presenting challenges and the main difficulties of research in affectivity in e-learning systems and ideas on some new work on the matter.

Multimedia Technologies in Education

Gamification ◽  
2015 ◽  
pp. 908-929
Author(s):  
Lucio Tommaso De Paolis ◽  
Egidijus Vaškevičius ◽  
Aušra Vidugirienė
Keyword(s):  
Augmented Reality ◽  
Learning Environments ◽  
3D Models ◽  
Interactive Learning Environments ◽  
Educational Role ◽  
E Learning ◽  
Multimedia Technologies ◽  
Virtual And Augmented Reality ◽  
Surgery Education ◽  
Education Process

As different means of information visualization become more popular and available both as commercial or open source products, there is an opportunity to use them in the education process by providing students with a larger variety of tools for mastering the required information and skills related to a learning object. The chapter discusses the use of various multimedia tools and edutainment (any entertaining application that has an educational role) in education and e-learning. The need and opportunities of applying 3D models, virtual and augmented reality, and certain means for controlling interactive learning environments are described in detail. Examples of 3D modeling, virtual, and augmented reality applications in history, arts, and medicine (surgery) education are provided.

Affective Agents in E-Learning Platforms

2012 ◽  
pp. 1225-1233
Author(s):  
Christos N. Moridis ◽  
Anastasios A. Economides
Keyword(s):  
Artificial Intelligence ◽  
Learning Environments ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Human Learning ◽  
Human Reasoning ◽  
Conversational Agents ◽  
Emotional Aspects ◽  
E Learning ◽  
Learning Platforms

During recent decades there has been an extensive progress towards several Artificial Intelligence (AI) concepts, such as that of intelligent agent. Meanwhile, it has been established that emotions play a crucial role concerning human reasoning and learning. Thus, developing an intelligent agent able to recognize and express emotions has been considered an enormous challenge for AI researchers. Embedding a computational model of emotions in intelligent agents can be beneficial in a variety of domains, including e-learning applications. However, until recently emotional aspects of human learning were not taken into account when designing e-learning platforms. Various issues arise when considering the development of affective agents in e-learning environments, such as issues relating to agents’ appearance, as well as ways for those agents to recognize learners’ emotions and express emotional support. Embodied conversational agents (ECAs) with empathetic behaviour have been suggested to be one effective way for those agents to provide emotional feedback to learners’ emotions. There has been some valuable research towards this direction, but a lot of work still needs to be done to advance scientific knowledge.

Techniques, Technologies and Patents Related to Intelligent Educational Systems

2011 ◽  
pp. 1-28
Author(s):  
Jim Prentzas ◽  
Ioannis Hatzilygeroudis
Keyword(s):  
Artificial Intelligence ◽  
Learning Systems ◽  
Future Research ◽  
Educational Systems ◽  
Learner Characteristics ◽  
Tutoring Systems ◽  
Artificial Intelligence Methods ◽  
E Learning ◽  
Future Research Directions ◽  
Intelligent Methods

E-learning systems play an increasingly important role in lifelong learning. Tailoring the learning process to individual needs is a key issue in such systems. Intelligent Educational Systems (IESs) are e-learning systems employing Artificial Intelligence methods to effectively adapt to learner characteristics. Main types of IESs are Intelligent Tutoring Systems (ITSs) and Adaptive Educational Hypermedia Systems (AEHSs) incorporating intelligent methods. In this chapter, the authors present technologies and techniques used in the primary modules of IESs and survey corresponding patents. They present issues and problems involving specific IES modules as well as the overall IES. The authors discuss solutions offered for such issues by Artificial Intelligence methods and patents. They also discuss categorization aspects of patents related to IESs and briefly present the work described in some representative patents. Lastly, the authors outline future research directions regarding IESs.

AI and AR

2021 ◽  
pp. 216-231
Author(s):  
Anita M. Cassard ◽  
Brian W. Sloboda
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Augmented Reality ◽  
Learning Environments ◽  
Virtual Learning Environments ◽  
Learning Assessment ◽  
New Learning Environments ◽  
New Learning ◽  
Available Technology ◽  
The Impact

This chapter presents some of the possibilities and approaches that are used in the application of AI (artificial intelligence) and AR (augmented reality) in the new learning environments. AI will add another dimension to distance learning or eLearning that in some cases already includes AR (augmented reality) virtual learning environments. Because of this advent in available technology and the impact it will have on learning, assessment of newly structured parameters and their impact on student outcomes is crucial when measuring student learning. For some of us there might be a concern about the domination of AI as seen in the movie The Terminator, but we can take ease in the notion that it is not only AI versus humans. A new version of human augmented intelligence (HI) is being developed as we speak.

scholarly journals Competency Based Approach: Modeling and Implementation

2020 ◽  
Vol 15 (02) ◽  
pp. 230 ◽  
Author(s):  
Malika Sedra ◽  
Samir Bennani
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Learning Environments ◽  
Computer Networks ◽  
Business Process ◽  
Learning Systems ◽  
Educational Content ◽  
E Learning ◽  
Competency Based

The expansion of computer networks has at the same time given impetus to the distance learning environments. E-learning systems are also advanced and more efficient. However, these platforms offer such complex teaching functionalities that designers find themselves poorly equipped to succeed in their engineering processes. This article presents a tool that makes it easier for designers to produce educational content according to the Competency-Based Approach (CBA). We propose an implementation of the CBA after its modeling via ontology. Our module can be grafted to any author system oriented pedagogy based skills. We have advocated for Service for Oriented Architecture as a software solution to model our business process that consists of a set of interconnected services that are modeled and implemented. The proposed system is the result of a coordina-tion of, services, incorporating the order of competences explained by a distance education, which integrates and interacts according to an orchestration plan.

Conversation Theory Conceptualized in E-Learning Environments

2008 ◽  
pp. 80-90
Author(s):  
Janet Holland ◽  
Marcus Childress
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Acquisition ◽  
Learning Environments ◽  
Current Literature ◽  
Exchange Of Information ◽  
E Learning ◽  
Vital Component ◽  
Conversation Theory

This chapter examines Gordon Pask’s Conversation Theory, comparing his approach to the current literature about the growing field of E-learning as a vital component for knowledge acquisition. For this chapter, conversation and dialogue are simply defined as an exchange of information between students and instructors. This exchange can be informal like a conversation or more formal like a dialogue (Merriam-Webster’s, 1974). Pask developed his Conversation Theory based primarily on an exchange of information between a human and an artificial intelligence, i.e. a computer

PENINGKATAN KINERJA SISTEM E-LEARNING DALAM PERSPEKTIF UNIVERSITAS 4.0 MENGGUNAKAN KERANGKA IT BALANCED SCORECARD

2020 ◽  
Vol 21 (1) ◽  
pp. 42-48
Author(s):  
Nadidah Ayu Syafitri ◽  
Muhammad Izman Herdiansyah
Keyword(s):  
Balanced Scorecard ◽  
Future Orientation ◽  
Learning Systems ◽  
Learning System ◽  
Corporate Contribution ◽  
E Learning ◽  
User Orientation ◽  
The University ◽  
Operational Excellence

Bina Darma University (UBD) as one of the university based information technology currently has been assisted by the use of IT in implementing its strategy. University 4.0 is a university that makes students as a learning center and assisted by the use of IT.  UBD in conducting learning has been assisted by e-learning which is one of the benchmarks of 4.0 University perspectives. E-Learning implementation assists the learning process by students and lecturers. The performance of the e-learning system has not been measured. Measurements are performed to improve the quality of e-learning systems in the 4.0 university perspective. To perform analysis used the IT framework Balanced Scorecard consisting of four perspectives namely Corporate Contribution/Business Contribution, User Orientation, Operational Excellence and Future Orientation. The result of this research is an improved analysis of quality and strategies to improve the quality of e-learning systems in the 4.0 university perspective.

Sign in / Sign up

Export Citation Format

Share Document