Title: Intelligent Interfaces for Technology-Enhanced Learning
Abstract: Current research in the field of Human-Computer Interaction (HCI), through its usercentred, user sensitive and learner-centred design approaches, places the requirements of the individual as the focus of all theoretical and practical advances, stressing the importance to design technologies for human needs.The role of transparent interfaces and adjustable interactions, suited to different particular needs, thus becomes even more important for users' success.Users with a wide variety of background, abilities, motivations and goals are using computers for quite diverse purposes.In such contexts of knowledge society for all, the role of system interfaces that are more closely tailored to the way people naturally work, live and acquire knowledge is unquestionably important.Intelligent User Interfaces (IUIs) have been advocated as means for making systems individualized or personalized, thus enhancing the systems flexibility and attractiveness.The ability to adapt is one frequently cited indication of intelligence.This implies the adaptation of the interface behaviour to user's individual characteristics, therefore generally relying upon the use of user models.The chapter elaborates on intelligent interfaces for Technology-Enhanced Learning (TEL) systems, stressing the need to move from the traditional one-size-fits-all paradigm to adaptive and personalized one that takes into account various users' personal characteristics.In order to enrich the process of knowledge acquisition and enhance the system ability to improve the learning experience, TEL systems need to adapt continuously to their users.This can be achieved by initiating and updating a relevant user model.Although acknowledging that differences among individuals have an effect on learning, as of now, user modelling has not yet happened as expected in addressing the variety of the learning environment in terms of personalization and individual user profiles.First, the chapter introduces TEL system with interaction style adaptation developed in order to support intelligent tutoring.The main objective of a research is both, to improve the learning experience and increase the system's intelligent behaviour.The system offers interaction adaptivity through the provision of suitable interaction styles rather then functionality.Different interface types along with adequate interaction styles are automatically switched basing on knowledge about the individual user and her/his interaction session, which is acquired dynamically during run-time.The user model developed to support interface adaptation strongly relies on user individual differences.In order to consider innovations in user sensitive research, the engaged user model should be www.intechopen.com