Student Progress Assessment with the Help of an Intelligent Pupil Analysis System

Abstract

AbstractStudents and lecturers would like to know how well students have learned the study materials being taught. A formal test or exam would cause needless stress for students. To resolve this problem, the author along with their colleagues have developed an Intelligent Pupil Analysis (IPA) System. A sufficient amount of studies worldwide prove an interrelation between pupil size and a person’s cognitive load. The obtained research results are comparable with the results from other similar studies. The original contribution of this chapter, compared to the research results published earlier, is as follows: the IPA System developed by the authors in conjunction with colleagues is superior to the traditional pupil analysis research due to the integration of pupil analysis with subsystems of decision support, recommender and intelligent tutoring systems and innovative Models of the Model-base, which permit a more detailed analysis of the knowledge attained by a student. This chapter ends with a case study to demonstrate the practical operation of the IPA System.KeywordsCognitive LoadRecommender SystemPupil DilationPupil SizePupil DiameterThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.