Requirements Framework for Personalized Real-Time Feedback in Interactive Agent-Based E-Learning Systems

2013 ◽  
pp. 290-300
Author(s):  
Godfrey Omoda-Onyait ◽  
Jude T. Lubega ◽  
Gilbert Maiga
Keyword(s):  
Real Time ◽  
Learning Systems ◽  
Agent Based ◽  
E Learning

Modeling agent‐based performance evaluation for e‐learning systems

2008 ◽  
Vol 26 (3) ◽  
pp. 345-362 ◽  
Author(s):  
Hsiao‐Ya Chiu ◽  
Chieh‐Chung Sheng ◽  
An‐Pin Chen
Keyword(s):  
Performance Evaluation ◽  
Learning Systems ◽  
Agent Based ◽  
E Learning

The Role of Affect in an Agent-Based Collaborative E-Learning System Used for Engineering Education

2009 ◽  
pp. 510-528
Author(s):  
Mohamed Ben Ammar ◽  
Mahmoud Neji ◽  
Adel M. Alimi
Keyword(s):  
Facial Expressions ◽  
Affective Computing ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Learning Systems ◽  
Learning System ◽  
Agent Based ◽  
Affective Behaviors ◽  
E Learning

Affective computing is a new artificial intelligence area that deals with the possibility of making computers able to recognize human emotions in different ways. This chapter represents an implemented framework, which integrates this new area with an intelligent tutoring system. The authors argue that tutor agents providing socially appropriate affective behaviors would provide a new dimension for collaborative learning systems. The main goal is to analyse learner facial expressions and show how affective computing could contribute to learning interactions, both by recognizing learner emotions during learning sessions and by responding appropriately.

scholarly journals Improving the adaptability of multi-agent based E-learning systems

2018 ◽  
Vol 7 (4) ◽  
pp. 5
Author(s):  
Francisco PINTO-SANTOS ◽  
Hector SÁNCHEZ SAN BLAS ◽  
Manuel SALGADO DE LA IGLESIA ◽  
Xuzeng MAO
Keyword(s):  
Learning Systems ◽  
Agent Based ◽  
E Learning ◽  
Multi Agent

Towards an Interactive Agent-Based Approach to Real-Time Feedback (IAARF) in E-Learning System

2012 ◽  
pp. 317-328 ◽  
Author(s):  
Godfrey Omoda-Onyait ◽  
Jude T. Lubega ◽  
Gilbert Maiga ◽  
Richard O. Angole
Keyword(s):  
Real Time ◽  
Learning System ◽  
Agent Based ◽  
E Learning

Temporal Navigation in a Session in a Mobile Distance Learning System

2013 ◽  
Vol 284-287 ◽  
pp. 3563-3568
Author(s):  
Jang Ho Lee
Keyword(s):  
Distance Learning ◽  
Real Time ◽  
Mobile Device ◽  
Learning Systems ◽  
Learning System ◽  
Time Interaction ◽  
Distance Learning System ◽  
E Learning ◽  
Lecture Session

Typical mobile distance learning system allows students to download and play the video of lecture, which lacks synchronous capability. Although a few synchronous mobile e-learning systems enable students to experience the video and presentation materials of a lecture in real time and real-time interaction with the lecturer, they still have the problem of not allowing students to navigate and re-experience the lecture session including video and slides with annotation. Thus, we present a mobile distance learning system that enables students to join the ongoing lecture, watch video and annotated slides, interacts with the lecturer with text in real-time as well as to store the lecture session on their mobile device and play them later. During the play of a lecture session, a student can navigate the session in terms of time and re-experience the video, slides with annotation, and text-based interaction among the lecturer and students.

High Performance Publisher/Subscriber Communication for Adaptive, Collaborative Web-Based Learning

2011 ◽  
pp. 664-676
Author(s):  
Yugyung Lee ◽  
Markus Junginger ◽  
James Geller
Keyword(s):  
Real Time ◽  
High Performance ◽  
Learning Systems ◽  
Learning System ◽  
Web Based ◽  
Course Materials ◽  
Web Based Learning ◽  
New Learning ◽  
E Learning ◽  
Tool Set

The inability of current Internet-based learning systems to deal with different kinds of learners and the high cost of developing a new learning system are well-known problems in e-learning. To overcome these problems, we have designed a learning middleware suite, called the Collaborative and Sharable Learning (CoSL) system. CoSL is a tool set for building e-learning systems and for developing course materials for an e-learning environment. Given the geographic distribution of the components of a Web-based e-learning system, it is crucial to support fast communication between providers and consumers of e-learning course materials. In this paper, a high performance Publisher/Subscriber communication system has been designed for real-time communication between participants. CoSL allows us to build and manage global real-time learning systems in a distributed and heterogeneous environment.

Platform for Analysing and Encouraging Student Activity on Contest and E-learning Systems

2018 ◽  
Vol 12 ◽  
pp. 85-98
Author(s):  
Bojan Kostadinov ◽  
Mile Jovanov ◽  
Emil STANKOV
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Educational Policy ◽  
Learning Systems ◽  
Data Sources ◽  
Or Education ◽  
Student Activity ◽  
The World ◽  
E Learning ◽  
Analyse Data

Data collection and machine learning are changing the world. Whether it is medicine, sports or education, companies and institutions are investing a lot of time and money in systems that gather, process and analyse data. Likewise, to improve competitiveness, a lot of countries are making changes to their educational policy by supporting STEM disciplines. Therefore, it’s important to put effort into using various data sources to help students succeed in STEM. In this paper, we present a platform that can analyse student’s activity on various contest and e-learning systems, combine and process the data, and then present it in various ways that are easy to understand. This in turn enables teachers and organizers to recognize talented and hardworking students, identify issues, and/or motivate students to practice and work on areas where they’re weaker.

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