Share Paper: A student diagnosing and evaluation system for laboratory-based academic exercises

  1. Maria Samarakou, Technological Educational Institute (T.E.I.) of Athens, Greece
  2. Emmanouil Fylladitakis, Technological Educational Institute (T.E.I.) of Athens, Greece
  3. Pantelis Prentakis, Technological Educational Institute (T.E.I.) of Athens, Greece
  4. Andreas Papadakis, School of Pedagogical & Technological Education (ASPETE), Greece
  5. John Gelegenis, Technological Educational Institute (T.E.I.) of Athens, Greece
  6. Grammatiki Tsaganou, University of Athens, Greece
  7. Nikolaos Tselikas, University of Peloponnese (UoP), Greece
Wednesday, March 27 4:30 PM-5:00 PM Grand Ballroom B

Abstract: Monitoring and evaluating a group of students during computer based laboratory exercises is a challenging task, especially in the case that the evaluation takes place in real-time classroom conditions. A diagnosis usually requires taking into account both the comprehension of theoretical principles and the student's competence with the use of the scientific tools. In this paper an artificial intelligence educational system using fuzzy logic is being presented, capable of diagnosing the students, provide support and evaluate them based not only on the end result but on their performance across the entire exercise. A preliminary build of the system described in ...