Autors: Pleshkova, P. S., Bekiarski, B. A., Boumiza S.
Title: Development of Simulation Models for Interactive Audiovisual Control of Students in the E-Learning Environment
Keywords: E-Learning, interactive simulation models, audiovisual control

Abstract: E-Learning can be defined as an online training or telematics education. This type of platform is used in multiple universities to achieve their strategic goals such as increase the effectiveness of teaching. The advantages of e-learning are the possibility of permanent teacher - student's connection for discussion and explanations. One of the e-learning drawbacks is the impossibility of the teacher to known whether or not students understand correct the e-learning materials. Therefore, the goal of this article is to propose the interactive simulation models for teacher audiovisual control of the student's e-learning process recognizing and analysing their voice and visual emotions.


  1. Rachid, Z., Sihem, Z., Olfa, C, 2012, Les Normes E-learning Comme Garant de Qualite de L'enseignement A Distance dans le Contexte Educatif Tunisien, Le Cas de L'UVT Institut superieur de documentation, Volume Numero 4, Janvier, pp. pp.68-75
  2. Joshi, C., Cheeran, A.N., 2014, MATLAB based features extraction using mel frequency cepstrum coefficients for automatic speech recognition, International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3 (6). June, pp. 112-125
  3. Banda, N., Robinson, P., 2011, Noise analysis in audio-visual emotion recognition, International Conference on Multimodal Interaction, Volume 2 (6) June, pp. 23-38
  4. Gupta, Al., Tiwari, R., 2015, Face detection using modified viola jones algorithm, International Journal of Recent Research in Mathematics Computer Science and Information Technology, Volume 1 (2), pp. 32-44


2018 International Conference on High Technology for Sustainable Development, HiTech 2018, 2018, Bulgaria, ISBN 978-153867039-2

Цитирания (Citation/s):
1. Gorovaya V, Khudoverdova S. Information modeling technology in the conditions of students visual learning. Volume 2494, 20192019 International Scientific Conference Innovative Approaches to the Application of Digital Technologies in Education and Research, SLET 2019; Stavropol-Dombay; Russian Federation; 20 May 2019 through 23 May 2019; Code 154115 - 2019 - в издания, индексирани в Scopus или Web of Science
2. Pipit Utami, Rudy Hartanto, Indah Soesanti. A Study on Facial Expression Recognition in Assessing Teaching Skills: Datasets and Methods. January 2019, Procedia Computer Science 161:544-552, DOI:10.1016/j.procs.2019.11.154, License CC BY-NC-ND 4.0 - 2019 - в издания, индексирани в Scopus или Web of Science

Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание