Intelligent pupil analysis of student progress system
Data
2012Autorius
Kaklauskas, Artūras
Vlasenko, Andrej
Raudonis, Vidas
Zavadskas, Edmundas Kazimieras
Metaduomenys
Rodyti detalų aprašąSantrauka
Various methodologies are used in the effort to predict the knowledge of students. A sufficient amount of studies worldwide prove an interrelation between persons’ cognitive load to pupil size. The Intelligent Pupil Analysis of Student Progress (IPASP) System for assessing student progress were developed on the basis of the aforementioned methodologies, the fifteen years of experience with distance learning and the seven years of experience with technology for pupil analysis by the authors of this article. The IPASP System developed by these authors is superior to the systems due to the use of pupil analysis and special algorithm which permits a more detailed analysis of the knowledge attained by a student.