Review on multi-agent system collaboration in learning management system domain by deploying wireless sensor networks for student location detection
Student location detection in Learning Management System (LMS) by utilizing Multi-Agent System (MAS) which contains sensor nodes is a new area of research. This study reviews several studies to ascertain the potential of integrating these two technologies to automate students’ class attendance in...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/39091/1/Review%20on%20multi.pdf http://psasir.upm.edu.my/id/eprint/39091/ http://thescipub.com/abstract/10.3844/jcssp.2014.995.1002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Student location detection in Learning Management System (LMS) by utilizing Multi-Agent System
(MAS) which contains sensor nodes is a new area of research. This study reviews several studies to
ascertain the potential of integrating these two technologies to automate students’ class attendance in
Higher Learning Institutions (HLIs). Currently, the HLIs are using paper-based process to record
students’ attendance in the class, that is time consuming and is not possible to monitor students all the
time, that they suppose to be in learning environment. Introducing the sensor networks and MAS in
LMS system is to enable the instructors or lecturers to be aware of the presence of their students once
they reach the system’s domain. The collaboration using MAS facilitates the retrieval and recording of
students’ details from the sensors and then sends them to LMS servers through Cluster Head Sensor.
The information that is collected and recorded by the agents include the signal strength of the students’
device and their profiles which can facilitate to know the exactly locations of the students, by
comparing such information with the information already stored in LMS database. Therefore, a system
architecture that comprises MAS with sensor networks in LMS is presented in this study for
monitoring students’ attendance in the classes and labs. This type of system architecture with improved
LMS features is more focused and intended for HLIs that follow the blended learning system. This
proposed system has potential of boosting learning process in HLIs by providing new feature in LMS that
monitor students’ activities in blended systems, that support classroom and online teachings. |
|---|