Today's UniversityE-Learning Information Systems

Service Oriented Architecture (SOA) as a design pattern that presents systems as collection of reusableservices that can be exposed and consumed on the Internet with standard interfaces has many advantages that canbe achieved on technical, managerial, and implementation aspects of the system. Integrating UniversityManagement Information Systems (UMIS) and Learning Management Systems (LMS) can be achievedeffectively, efficiently, and with minor modifications of both systems via SOA utilization. SOA can also be usefulin integrating long decades and efforts of adaptive and intelligent features of E-Learning in today's informationsystems. Both UMIS and LMS; as the two major components of learning information systems can make use ofadaptive and intelligent features became available over decades. Adaptive and intelligent features in informationsystems are many, and they can be utilized in new learning systems. Presenting adaptive and intelligent features asservices with standard interfaces will allow different E-Learning systems to adopt them, so they will be reusableand newly introduced information systems will not have to redo the work again, besides, wrapping adaptive andintelligent features with standard interfaces will present a separation of interests that help adaptive and intelligentfeatures' researchers and developers to focus more on their target and transfer the responsibility of utilizing thosefeatures in different information systems to information systems specialists. Today's E-Learning informationsystems' architects can make use of SOA in integrating major E-Learning components together, side by side withadaptive and intelligent features to provide students with personalized learning environment. This article reviewsthe E-Learning different models. Reviewing the E-Learning proposed systems, architectures, and frameworks starting from traditionalE-Learning systems through adaptive E-Learning systems supported by intelligent ELearning features, methods,and techniques yields E-Learning researchers to Services based Adaptive and Intelligent E-Learning Systems.