For students in industrialized countries, where a better education no longer correlates to having a higher living standard, Artificial Intelligence (AI) and personalized learning environments can play an important role in providing the required motivation for these students to learn (Andersen, 2011). Today’s Intelligent Learning Systems (ILS) can include sophisticated AI agents which may have advanced animated interfaces and, in some cases, may even mimic emotional responses and interactions. Based on the design of early expert systems, these ILS are good at storing and providing large amounts of information but they lack the innate, sophisticated reasoning and decision making abilities of human teachers. Today’s technologies could be improved immediately by adopting standardized frameworks and the work of Marvin Minsky on intelligent machines points to areas for exploration to improve current systems (Boyle, 1998). Future trends in this area point to integration with social networks, both technologically and pedagogically, and Web 3.0, termed the ‘semantic web’, could make these systems genuinely able to understand the information they contain leading to greater adaptation to the needs of individual student.