Learning Repository Adaptibility in an Agent-Based University Environment
📝 Abstract
Automated e-Learning Systems (AeLS) are fundamental to contemporary educational concepts worldwide. It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge dissemination. Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability in tailoring the content management to meet specific individual needs. The volume of fast growing AeLS content of supplement material and exchanged communication combined with the already huge material archived in the university libraries is enormous and needs sophisticated managing through electronic repositories. Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems. This paper depicts a successful implementation of an Integrated Intelligent Agent Based University Information System (IABUIS).
💡 Analysis
Automated e-Learning Systems (AeLS) are fundamental to contemporary educational concepts worldwide. It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge dissemination. Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability in tailoring the content management to meet specific individual needs. The volume of fast growing AeLS content of supplement material and exchanged communication combined with the already huge material archived in the university libraries is enormous and needs sophisticated managing through electronic repositories. Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems. This paper depicts a successful implementation of an Integrated Intelligent Agent Based University Information System (IABUIS).
📄 Content
International Journal of Computer Science & Information Technology (IJCSIT) Vol 8, No 3, June 2016 DOI:10.5121/ijcsit.2016.8308 103
LEARNING REPOSITORY ADAPTABILITY IN AN AGENT-BASED UNIVERSITY ENVIRONMENT
Vanco Cabukovski1, Roman Golubovski1 and Riste Temjanovski2
1Faculty of Natural Sciences and Mathematics, Ss Cyril and Methodius University, Skopje, Macedonia
2Faculty of Economics, “Goce Delcev” University, Stip, Macedonia
ABSTRACT
Automated e-Learning Systems (AeLS) are fundamental to contemporary educational concepts worldwide. It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge dissemination. Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability in tailoring the content management to meet specific individual needs. The volume of fast growing AeLS content of supplement material and exchanged communication combined with the already huge material archived in the university libraries is enormous and needs sophisticated managing through electronic repositories. Such integration of content management systems (CMS) present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems. This paper depicts a successful implementation of an Integrated Intelligent Agent Based University Information System (IABUIS).
KEYWORDS
Intelligent University Information System; Library Information System; Adaptive e-Learning System.
- INTRODUCTION
Agent-based systems technology has generated lots of excitement in the recent years because of its promise as a new paradigm for conceptualizing, designing and implementing software systems. The high majority of agent-based systems consist of a single agent. However, as technology gets more advanced, addressing complex applications increases and the need for distributed systems consisting of multiple agents that communicate in a peer-to-peer fashion is becoming apparent [1][2].
Multi-agent systems are designed as a collection of interacting autonomous agents, each having their own capacities and goals that are situated in a common environment. This interaction might involve communication, i.e. passing information, from one agent to another and with their environment [2].
An information system is very important part of the contemporary university. The university achievements in the education and the science areas straightly depend on the university activities computerization and the level of that computerization [3]. The university information system is created as an integrated system, aiming to computerize all university processes. Processes use general university registers, general classifications. It allows for individual users to avoid the International Journal of Computer Science & Information Technology (IJCSIT) Vol 8, No 3, June 2016 104 different interpretation of the same data. All data are stored in a centralized database. This way it allows avoidance of data duplication. Information is gathered, stored in a database and managed, where the first sources are placed, i.e. in the university subdivisions. That’s why the circulation time of documents decreases, less logic mistakes are made, and search and elimination of mistakes can be done effectively. The information system is based on University computer network. Fiber optic lines connect the most university subdivisions. It ensures quick and reliable information transmission. The client–server architecture is used for the university information system. It enhances data reliability and security, in connection with Internet technologies.
Professors and university staff have many different type of work to prepare. University resources (time, money, classrooms etc.) need to be allocated in a detailed manner by the staff. Scheduling and planning of exams must be done in exact time by professors. Huge production of teaching material each year, administrative and teaching data and library’s collections need to be integrated on university level in knowledge and information university system, fully standardized and made compatible on state and global level.
A model of an Integrated Intelligent (Agent-Based) Univesity Information System - IABUIS with an embedded multi-agent infrastructure has been developed at the Faculty of Natural Sciences and Mathematics with the University Ss. Cyril and Methodius. It is designed to control University’s administration and education system. Many procedures related with educational and non-educational programs in an university e
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