INTELLIGENT RECOMMENDER SYSTEM FOR ONLINE QUIZ GAME

ABSTRACT From e-commerce to social networking sites, recommender systems are gaining more and more interest. They provide connections, news, resources, or products of interest. Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kinds of people, raising new challenges to education when using Internet as a medium. Information overload results from the availability of a large number of information on any topic in this jet age. To avoid information overload, a recommender system is important. Recommender systems form decision support systems for individuals as well as whole organisations by customising and recommending information or actions. Game based learning has been studied and seen as an important alternative or supplement to traditional teaching. Existing web based platforms that utilize the power of the Internet in order to provide efficient access to information regarding computer learning games aim to create online communities. Game-Based Learning is an issue that concerns game developers, educators and trainees. However, electronic educational games can be highly entertaining, but studies have shown that they do not always trigger learning. To enhance the effectiveness of educational games, we proposed an intelligent recommender agent for online quiz game. The recommendation systems have been tried in e-commerce to entice purchasing of goods, social networking sites and in e-learning environment to recommend courses to students but as yet to be implemented in online quiz game. Therefore, an intelligent recommendation system for online quiz game is implemented. The motivation behind this project is to make quiz-based game full of fun, enjoyable, interactive and educative with an intelligent recommender agent as the catalyst. The recommendations will be based on the user profile, preferences and the performance of the user during the game play. The techniques used are content filtering and a randomization algorithm. In conclusion, this system will be useful and vital to promoting learning amongst students in schools and increasing the learning habit of students. Keywords: Recommender Agent, Game-based learning, E-learning, Quiz game