The demand for software for Computer-Assisted Language Learning (CALL) is increasing considerably. However a drawback of most, if not all, of the currently available CALL software is that it cannot provide very helpful feedback to the learner. The aim of this project was to work towards providing a more adequate and user-oriented interface for CALL. The project focused on the design of an appli...

The main purpose of Intelligent Design and Modelling Environments is to offer students the opportunity to acquire knowledge while working on a sequence of given or self-selected problems chosen from the application domain. Earlier, we developed intelligent problem solving environments (IPSEs, Möbus, 1995) for various curricula and applications. Now we extend this approach to intelligent design ...

Queueing Modelling is proposed in the domain of Intelligent User Interfaces and, more generally, in the field of Human-Computer Interaction. It is argued that Queueing Modelling can facilitate assessment of the current state and prediction of the future behaviour of user-computer interaction. This assessment can be used as the basis for adaptations either at design-time or at run-time, and can ...

The paper deals with the awareness of and the adaptation to the context in audio-augmented environments. Taking into account the relationship between aural and visual perceptions, we focus on the issues and the potential of adapting intelligent audio interfaces to augment the visual real environment. The description of the LISTEN project, a system for the creation of immersive audio-augmented e...

Emotion-oriented eCommerce is a new research field. Intelligent emotion recognition techniques based on modern mathematical models using computational intelligence are presented. Progression within this field of study is highlighted. The requirements for designing of intelligent emotion-oriented eCommerce systems are defined. A model for simulation of intelligent emotion-oriented eCommerce syst...

The paper presents a detailed set of intelligent agents for the modelling of learner’s emotions in intelligent tutoring systems. Functions and interaction of the agents, the overall decision making process and the involvement of the agents in the affective loop of an intelligent tutoring system are described. The most widespread categories of inputs for the determination of a learner’s emotiona...

Database (DB) modelling is the cornerstone of an efficient database. Students require extensive practice to excel in modelling databases due to the analysis and design nature of the task. Conventionally, DB modelling is taught in a classroom environment where the instructor demonstrates the task using typical cases and students practice modelling in labs or tutorials. However, there will never ...

This paper presents roles and role models as new abstractions for specifying, modelling, and designing intelligent agent systems. The approach is particularly valuable for applications that involve information and process management because it represents a unified approach. Software agents, objects, processes, organizations, and people can play roles and can therefore be incorporated into a rol...

in this paper we propose and construct fuzzy algebraic additive model, for the estimation of risk in various fields of human activities or nature’s behavior. though the proposed model is useful in a wide range of scientific fields, it was designed for to torrential risk evaluation in the area of river evros. clearly the model’s performance improves when the number of parameters and the actual d...

One aim of intelligent tutoring systems is to tailor lessons to each individual student’s needs. To do this a tutoring system requires a model of the student’s knowledge. Cognitive modelling aims to produce a detailed explanation of the student’s progress. Feature Based Modelling forms a cognitive model of the student by creating aspects of problem descriptions and of students’ responses. This ...