MACE: Mobile Artificial Conversational Entity for Adapting Domain Knowledge and Generating Personalized Advice

Mobile learning offers, with the help of handheld devices, a continuous access to the learning process. With the advent of mobile learning, educational systems are changing, offering the possibility of distance education without the restrictions of place and time. As such, new technological advancements are employed by mobile learning. This paper presents the design, development and evaluation of a novel artificial conversational entity, incorporated in a mobile learning system for personalized English language instruction. More specifically, it offers amelioration of the domain knowledge model by adapting it to the students' needs and to the pace that they prefer to receive learning. Moreover, it creates personalized tutoring advice in order to support students in the educational process. Finally, it can assist the procedure of assessments since it automatically generates questions to assess the knowledge level of students. The evaluation of the mobile tutoring system presents promising results regarding the incorporation of this new technology in digital education with the aim of creating a student-centric learning experience.