DocumentCode :
1847577
Title :
A Framework of Deriving Adaptive Feedback from Educational Ontologies
Author :
Liu, Ben ; Chen, Hejie ; He, Wei
Author_Institution :
Beijing Inst. of Graphic Commun., Beijing
fYear :
2008
fDate :
18-21 Nov. 2008
Firstpage :
2476
Lastpage :
2480
Abstract :
Automatic feedback generation is an important feature of computer assisted assessment (CAA) systems. The direct and instant feedback can help examinees to diagnose their learning status, or learn by assessment. By incorporating certain measures, the automatically generated feedback can be adaptive and make it a desirable block for intelligent tutoring systems (ITS). In this paper we propose a framework to automatically generate adaptive feedback from metadata of items. The generated feedback can be rendered into human readable format; at same time it can also be used by ITS to support adaptive navigation. The scalability and feasibility of the framework are also discussed in the paper.
Keywords :
educational administrative data processing; intelligent tutoring systems; meta data; ontologies (artificial intelligence); automatic adaptive feedback generation; computer assisted assessment system; education objective; educational ontology; examinee learning status diagnosis; intelligent tutoring system; meta data; sentence template; Computer aided analysis; Computer graphics; Feedback; Helium; Humans; Intelligent systems; Navigation; Ontologies; Scalability; Standards organizations; Adaptive Feedback; computer assisted assessment; intelligent tutoring systems; metadata; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
Type :
conf
DOI :
10.1109/ICYCS.2008.183
Filename :
4709363
Link To Document :
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