University of the Aegean

About: University of the Aegean is a education organization based out in Mytilene, Greece. It is known for research contribution in the topics: Population & Context (language use). The organization has 2818 authors who have published 8100 publications receiving 179275 citations. The organization is also known as: UAEG.

Emotion Measurement in Intelligent Tutoring Systems: What, When and How to Measure

Abstract: Affective or Emotion oriented computing constitutes an emerging research field that is still in its early stages. The lack of empirical results together with the complexity that attributes emotions, subjects research to a diversity of theories, models and tools. In the current paper we present a critical review of the state of the art on emotion measurement models, methods and tools and we suggest some informal rules towards their realistic use in education settings.

Using decision tree algorithms as a basis for a heart sound diagnosis decision support system

Abstract: Decision trees algorithms were used with promising results in various critical problems, concerning heart sound diagnosis. In general this diagnostic problem can be divided in many sub problems, each one dealing either with one morphological characteristic of the heart sound or with difficult to distinguish heart diseases. The sub problems of the discrimination of aortic stenosis from mitral regurgitation and the discrimination between the second heart sound split, opening snap and third heart sound, are used as case studies. Using signal-processing methods, we extracted the heart sound feature vector. Relevance analysis was performed using the uncertainty coefficient. Then for each heart sound diagnosis sub problem, a specific decision tree (DT) was constructed. decision tree pruning was also investigated. Finally, a general decision support system architecture for the heart sound diagnosis problem, is proposed. The partial diagnosis, given by these DT, can be combined using arbitration rules to give the final diagnosis. These rules can be implemented by another DT, or can be based on different methods, algorithms, or even on expert knowledge. All these can lead to an integrated decision support system architecture for heart sound diagnosis.

Patterns of syntactic development in children with Williams syndrome and Down's syndrome: evidence from passives and wh-questions.

Abstract: This study investigates the syntactic abilities of ten individuals with Williams syndrome (WS) (mean chronological age: 8;9 years; mean mental age: 4;8 years) and Down's syndrome (DS) (mean chronological age: 8;7 years; mean mental age: 4;6 years), matched individually on chronological age, mental age and performance IQ. The syntactic components investigated include the comprehension of passives and the production, comprehension and repetition of wh‐questions. Performance is compared to ten younger typically developing (TD) controls matched individually to both experimental groups on mental age (mean chronological age: 4;4 years; mean mental age: 5;0 years). Participants were given a standardized measure of grammatical ability and non‐standardized tasks exploring the comprehension of active and passive sentences, and the production, comprehension and repetition of a range of wh‐question types: wh‐subject, wh‐object, which NP‐subject and which NP‐object. Participants with WS and DS performed similarly on t...