DocumentCode :
1841883
Title :
TagAssessment: Using tagging technology for learner assessment
Author :
Kardan, Ahmad ; Sani, Mohammad Reza Fani ; Hosseini, Roya
fYear :
2012
fDate :
14-15 Feb. 2012
Firstpage :
34
Lastpage :
39
Abstract :
Nowadays, with development of Information technology, using e-learning for higher quality of education has been increased. On the other hand with the emergence of Web 2.0 and high interest for using its technologies such as tagging, annotating and social networking caused to more users participation than before. In this regard, one of the most popular technologies is Tagging. Usually users used to place tags on the contents as a reminder in future. In this paper, a novel method is proposed to assess the learners´ understandings. The mentioned method which is named TagAssessment computes the figure of relationship between the contents and the user´s tags and utilizes the obtained results for learner assessment. In this regard, the semantic distance between the tags associated to the content, and the concepts covered by the same content is calculated using WordNet tree ontology. In the evaluation process, ninety learners were asked to place their tags on the contents related to a BSc course to create a data set for further evaluation. The obtained results showed that as the smaller the distance between the learners´ tags and the contents are the better comprehension have been achieved.
Keywords :
computer aided instruction; information retrieval; ontologies (artificial intelligence); trees (mathematics); BSc course; Information technology; Web 2.0; WordNet tree ontology; e-learning; learner assessment; semantic distance; social networking; tagassessment; tagging technology; Collaboration; Electronic learning; Ontologies; Semantics; Standards; Tagging; E-Learning; Learner Assessment; Ontology; Tagging; Web 2.0; WordNet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Learning and E-Teaching (ICELET), 2012 Third International Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-0958-5
Type :
conf
DOI :
10.1109/ICELET.2012.6333362
Filename :
6333362
Link To Document :
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