Autors: StefanovaStoyanova, V. S.
Title: New Model of Conception for Building Adaptive Systems for Distance Electronic Learning, (ASDEL)
Keywords: Distance Electronic Learning Systems, Adaptive Electronic Learning Systems, Psychological and personal circumstances, model of the current psycho-physiological state, Hyper-media systems, Robotics, Robofessor

Abstract: The present paper deals with a new conceptual model of the Adaptive System for Distance Electronic Learning (ASDEL), which removes the shortcomings of existing reference models. The new model develops previous models, compensate for their shortcomings mainly through a structure, in which there is a clear division between the content and the order of its presentation to the trainee, support for different learning styles and learner goals and also support standards for the exchange of learning content. The new model embeds five major independent sub models: - learner model (goals and preferences, style of learning, knowledge and results of incoming tests); - model of the subject area (ontologies, content, metadata of content) ; - model of adaptation (system of rules, narrative pattern, metadata of narrative) ; - model of the current psycho-physiological state (pulse, temperature, tremor, blood pressure, skin resistance, sweating, signaling motion analysis) ; - model of the personality



    Cax Technologies, isue No 5, December 2017, issue 5, 2017, Bulgaria, ISBN ISSN 1314-9628. December, 2017

    Цитирания (Citation/s):
    1. Business Intelligent Systems Data Processing, Stankov I., - 2020 - в издания, индексирани в Scopus или Web of Science
    2. I Stankov, D Gotseva, An Overview ofSecurity and Risk Management in Business Intelligence Systems, - 2020 - в издания, индексирани в Scopus или Web of Science
    3. R. Trifonov, O. Nakov, S. Manolov, G. Tsochev and G. Pavlova, "Possibilities for Improving the Quality of Cyber Security Education through Application of Artificial Intelligence Methods," 2020 International Conference Automatics and Informatics (ICAI), 2020, pp. 1-4, doi: 10.1109/ICAI50593.2020.9311333. - 2020 - в издания, индексирани в Scopus или Web of Science

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