Paper Info
Title
A Reusable Software Architecture for Personalized Learning Systems
Abstract
This paper addresses issues associated with requirements for personalized learning systems and their software architecture. These systems aim to provide unique learning experiences through adapting to a variable set of learners' characteristics at different levels of sophistication in many various contexts using a broad range of technologies. The diversity in personalized learning systems makes it difficult to represent user requirements in a way that software designers are able to use directly. Identifying a process to implement effectively personalized learning software systems remains a serious challenge. We propose a software architecture that simplifies the creation of early design models from requirements and facilitates effective communication between technical designers and stakeholders. First, we define general concepts of personalized learning software systems, and then elaborate a reusable software architecture for personalized learning software systems that can be used in different contexts. Finally, we map various personalized learning software systems from different contexts to the proposed architecture.
Year
DOI
Venue
2018
10.1109/INNOVATIONS.2018.8605997
2018 International Conference on Innovations in Information Technology (IIT)
Keywords
Field
DocType
Learning Personalization,Software Architecture,Design,Requirements
Data modeling,Architecture,Software engineering,Computer science,Computer network,Software system,Software,Personalized learning,Software architecture,User requirements document,Sophistication
Conference
ISSN
ISBN
Citations 
2325-5498
978-1-5386-6674-6
0
PageRank 
References 
Authors
0.34
19
2
Name
Order
Citations
PageRank
Heba Ismail143.45
Boumediene Belkhouche25517.44