The Application of Agent-Based Information Push Technology in Mobile Learning

This chapter presents the architecture of an agent-based m-Learning platform, “Personalised Ubiquitous Learning Platform” (PULP), which incorporates adaptive personalisation and collaborative learning for the development of enhanced e-learning. The main objective of this platform is to provide University College Dublin with a single supported intelligent mobile learning environment that will promote adaptive and collaborative learning, human computer interaction on mobile clients anywhere, anytime and also to provide useful recommendation about available educational resources. The system aims to enhance the students’ learning experience in third level educational environment.

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A Performance Evaluation of a Multi-Agent Mobile Learning System

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v10i2.4873 ◽

2016 ◽

Vol 10 (2) ◽

pp. 10 ◽

Cited By ~ 1

Author(s):

Collins N Udanor ◽

Ogbonna U. Oparaku

Keyword(s):

Mobile Learning ◽

New Technologies ◽

Distributed Applications ◽

Learning System ◽

Multi Agent System ◽

Development Environment ◽

Agent Based ◽

Multi Agent ◽

Mobile Learning System ◽

Agent Development

Mobile devices have emerged as our daily companion whose applicability evolves as the day unfolds. One of such applications is in the area of learning, called mobile learning (M-learning). However, as with all new technologies, M-learning is faced with the issues of standard, content packing, and deployment. And like other distributed applications on ubiquitous networks, M-learning is challenged with performance issues. This work shows the implementation and evaluation of a model for intelligent mobile learning system (IMLS) using a multi-agent system (MAS), such as the Java Agent Development Environment (JADE) framework. Two M-learning applications (agent-based and non-agent) were developed, deployed and tested. The agent-based application is deployed using an HTTP-based Message Transfer Protocol (MTP). The results suggest that agents can increase the performance of an M-learning application up to eight times.

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Total etch dentin bonding systems: scanning electron microscopy of the resin-dentin hybrid layer

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130092 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1092-1093

Author(s):

Jorge Perdigao

Keyword(s):

Composite Resin ◽

Mechanical Interlocking ◽

Hybrid Layer ◽

Agent Based ◽

Dentin Bonding ◽

Acid Agent ◽

Bond Strengths ◽

Main Component ◽

Bonding Systems ◽

New Generation

In 1955, Buonocore introduced the etching of enamel with phosphoric acid. Bonding to enamel was created by mechanical interlocking of resin tags with enamel prisms. Enamel is an inert tissue whose main component is hydroxyapatite (98% by weight). Conversely, dentin is a wet living tissue crossed by tubules containing cellular extensions of the dental pulp. Dentin consists of 18% of organic material, primarily collagen. Several generations of dentin bonding systems (DBS) have been studied in the last 20 years. The dentin bond strengths associated with these DBS have been constantly lower than the enamel bond strengths. Recently, a new generation of DBS has been described. They are applied in three steps: an acid agent on enamel and dentin (total etch technique), two mixed primers and a bonding agent based on a methacrylate resin. They are supposed to bond composite resin to wet dentin through dentin organic component, forming a peculiar blended structure that is part tooth and part resin: the hybrid layer.

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