Michalis (Michael) Feidakis

mfeid

              

 Office:  ΖΒ214, Building Ζ, Campus 2

 Tel: +30(210)538.1637

 Office hours: Thursday, 11am-1pm

 Lab: ΖΒ109, Building Ζ, Campus 2

 Lab tel:  +30(210)538.1112

 E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 Personal Webpage: https://consert.eee.uniwa.gr/mfeid/ 

Discipline: Information Processing in Electronic Learning

 

Education

May 9 - Oct 13

Doctorate (PhD)

Department of Cultural Technology & Communication, University of the Aegean, Mytilene in collaboration with the Department of Computer Science of the Open University of Catalonia, Barcelona, Spain http://www.ct.aegean.gr/ - http://www.uoc.edu 

Thesis: A Computational Model to Embed Emotion Awareness into eLearning Environments 

Sep 01 - Sep 02

Master of Science (MSc) in Multimedia and Internet Computing, Loughborough University, Loughborough(UK), 2002, http://www.lboro.ac.uk/

Sep95 - Feb 01

Degree in Informatics (BSc), Athens University of Economics and Business, 2001, http://www.aueb.gr/

Research

Affective Computing, Affective Learning, Distance Learning, Computer-Supported Collaborative Learning, Artificial Intelligence, Machine Learning

Publications

  • Feidakis, M., Chatzigeorgiou, C., Karamperi, C., Giannakos, L., Xefteris, V.-R., Ntioudis, D., Tsanousa, A., Kogias, D. G., Patrikakis, C., Meditskos, G., Gorgogetas, G., Vrochidis, S., & Kompatsiaris, I. (2021). Smart Interconnected Infrastructures for Security and Protection: The DESMOS Project. Computers, 10(9), 116. https://doi.org/10.3390/computers10090116 
  • Feidakis, M., Rangoussi, M., Kasnesis, P., Patrikakis, C., Kogias, D., & Charitopoulos, A. (2019). Affective Assessment in Distance Learning: A Semi-explicit Approach. The International Journal of Technologies in Learning, 26(1), 19–34. https://doi.org/10.18848/2327-0144/CGP/v26i01/19-34
  • Feidakis, M., Kasnesis, P., Giatraki, E., Giannousis, C., Patrikakis, C., & Monachelis, P. (2019). Building Pedagogical Conversational Agents, Affectively Correct: Proceedings of the 11th International Conference on Computer Supported Education, 100–107. https://doi.org/10.5220/0007771001000107
  • Feidakis, M. (2016). A Review of Emotion-Aware Systems for e-Learning in Virtual Environments. In Formative Assessment, Learning Data Analytics and Gamification (pp. 217–242). Elsevier. https://doi.org/10.1016/B978-0-12-803637-2.00011-7
  • Feidakis, M., Daradoumis, T., Caballé, S., & Conesa, J. (2014). Embedding emotion awareness into e-learning environments. International Journal of Emerging Technologies in Learning (iJET), 9(7), 39-46
  • Feidakis, M., Caballé, S., Daradoumis T., Gañán, D., & Conesa, J (2014). Providing emotion awareness and affective feedback to collaborative learning scenarios. Int. Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), 24(2), 141-168.
  • Feidakis, M., Daradoumis, T., Caballe, S., & Conesa, J. (2013). Measuring the Impact of Emotion Awareness on e-learning Situations. 
  • Feidakis, M., Daradoumis, T., Caballé, S., Conesa, J., & Gañán, D., (2013). A Dual-Modal System that Evaluates User’s Emotions in Virtual Learning Environments and Responds Affectively. Journal of Universal Computer Science (JUCS) 19(11), 1638-1660. [Indexed in ISI SCI, 2011 IF = 0.398, Ranking 2012: IF: 0.762, Q3: 54/100, Category: COMPUTER SCIENCE, THEORY & METHODS].
  • Feidakis, M., & Daradoumis, T. (2013). A framework for designing computer-supported learning systems with sensibility. International Journal of e-Collaboration (IJeC), 9(1), 57-70. doi:10.4018/jec.2013010105.
  • Feidakis, M., Daradoumis, T., Caballé, S., & Conesa, J. (2012). Design of an emotion-aware e-learning system. International Journal of Knowledge and Learning (IJKL), 8(3-4), 219-238. doi:10.1504/IJKL.2012.051676.

Undergraduate Courses

  • Object-Oriented Programming (OOP) (2nd Semester)
  • Web Applications Development (7th Semester)

Postgraduate Courses 

  • Modern Digital & Internet Technologies, Program: MPhil ICT in Education (1st Semester)
  • Information and Communication Technologies for Education, Program: MPhil ICT in Education (2nd Semester)
  • Wearable and Affective Computing, MSc AI and Deep Learning

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