An Open Learning Environment for the Diagnosis, Assistance and Evaluation of Students Based on Artificial Intelligence

• Main Authors: Maria Samarakou, Andreas Papadakis, Emmanouil D Fylladitakis, Antonios Hatziapostolou, Grammatiki Tsaganou, Wolf Gerrit Früh
• Format: Article
• Language: English
• Published: Kassel University Press 2014-05-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: Learning Environments (OLEs); Diagnosis; Evaluation; Artificial Intelligence (A.I.) assisted learning; elearning
• Online Access: http://online-journals.org/index.php/i-jet/article/view/3367

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.