DocumentCode
1091428
Title
Improving Student Performance Using Self-Assessment Tests
Author
Guzmán, Eduardo ; Conejo, Ricardo ; Pérez-de-la-Cruz, José-Luis
Author_Institution
Univ. of Malaga, Malaga
Volume
22
Issue
4
fYear
2007
Firstpage
46
Lastpage
52
Abstract
Testing is the most generic and perhaps most widely used mechanism for student assessment. Most tests are based on the classical test theory, which says that a student´s score is the sum of the scores obtained in all questions plus some kind of error. The most relevant is that the student test result depends heavily on the individual´s learning preferences or abilities and also on the actual test´s format. According to this theory, tests aren´t necessarily useful in intelligent educational systems, which require accurately obtaining the student´s knowledge state to guide the learning process. Yet the Web has created a new generation of intelligent systems-adaptive hypermedia systems which offer new types of instructional interaction. Educational AHSs adapt the learning process on the basis of the student´s learning preferences, knowledge, and availability. One such Web-based tool is Siette (the system of intelligent evaluation using rests), which infers student knowledge using adaptive testing.
Keywords
Internet; educational administrative data processing; hypermedia; intelligent tutoring systems; Siette Web-based tool; adaptive hypermedia systems; adaptive testing; classical test theory; individual learning preferences; instructional interaction; intelligent educational systems; intelligent evaluation; intelligent tutoring system; self-assessment tests; student knowledge state; student performance; Adaptive systems; Automatic testing; Collaboration; Computer languages; Computer science; Databases; Intelligent systems; Mobile computing; System testing; Timing; adaptive hypermedia; adaptive testing; personalized content delivery and generation; system evaluation; user-modeling techniques;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2007.71
Filename
4287273
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