Student progress assessment with the help of an intelligent pupil analysis system

Students 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 authors of this article have developed an Intelligent Pupil Analysis (IPA) System. A sufficient amou...

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Bibliographic Details
Published in:Engineering applications of artificial intelligence 2013-01, Vol.26 (1), p.35-50
Main Authors: Kaklauskas, Arturas, Vlasenko, Andrej, Raudonis, Vidas, Zavadskas, Edmundas Kazimieras, Gudauskas, Renaldas, Seniut, Mark, Juozapaitis, Algirdas, Jackute, Ieva, Kanapeckiene, Loreta, Rimkuviene, Silva, Kaklauskas, Gabrielius
Format: Article
Language:English
Subjects:
Artificial intelligence
Assessments
e-Examination
e-Learning
Expert systems
Historical information
Intelligent systems
Knowledge
Pupil analysis
Pupil size
Pupils
Stresses
Students
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Summary:Students 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 authors of this article 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 article, compared to the research results published earlier, is as follows: the IPA System developed by the authors 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 article ends with a case study to demonstrate the practical operation of the IPA System. ► Authors developed and present original Intelligent Pupil Analysis (IPA) System. ► IPA System developed by the authors is superior to the traditional pupil analysis research. ► This is due to the integration of pupil analysis with subsystems of decision support, recommender and intelligent tutoring systems and innovative models. ► This permits a more detailed analysis of the knowledge attained by a student. ► Authors present a case study to demonstrate the effectiveness of the IPA System.
ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2012.01.006