An open learning environment for the diagnosis, assistance and evaluation of students based on artificial intelligence

Maria Samarakou, Andreas Papadakis, Emmanouil Fylladitakis, Antonis Hatziapostolou, Grammatiki Tsaganou, Wolf-Gerrit Fruh

Research output: Contribution to journalArticle

10 Citations (Scopus)
161 Downloads (Pure)

Abstract

The personalized diagnosis, assistance and evaluation of students in open learning environments can be a challenging task, especially in cases that the processes need to be taking place in real-time, classroom conditions. This paper describes the design of an open learning environment under development, designed to monitor the comprehension of students, assess their prior knowledge, build individual learner profiles, provide personalized assistance and, finally, evaluate their performance by using artificial intelligence. A trial test has been performed, with the participation of 20 students, which displayed promising results.
Original languageEnglish
Pages (from-to)36-44
JournalInternational Journal of Emerging Technologies in Learning
Volume9
Issue number3
DOIs
Publication statusPublished - 2014

Keywords

  • Learning Environments (OLEs)
  • Artificial Intelligence (A.I.) assisted learning
  • elearning

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