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Application of Interactive Classification System in University Study Course Comparison

Informatics in education, 2015-01, Vol.14 (1), p.15-36 [Peer Reviewed Journal]

Copyright Institute of Mathematics and Informatics 2015 ;ISSN: 1648-5831 ;EISSN: 2335-8971 ;DOI: 10.15388/infedu.2015.02

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Title:
Application of Interactive Classification System in University Study Course Comparison
Author: Vasilecas, Olegas ; Rencis, Edgars ; Birzniece, Ilze ; Rudzajs, Peteris ; Kalibatiene, Diana
Subjects: Accuracy ; Artificial intelligence ; Austria ; Automation ; Business Administration Education ; Classification ; Comparative Education ; Computer Assisted Instruction ; Computer Software ; Course Descriptions ; Curricula ; curricula comparison ; Curriculum Development ; Education ; Essay|Book Review |Scientific Life ; Exchange ; Exchange Programs ; Foreign Countries ; Higher Education ; inductive learning ; Information Science Education ; Information Systems ; interactive classification ; Interactive systems ; International Cooperation ; Knowledge Management ; Latvia ; Learning ; Machine learning ; Management Systems ; Manuals ; Russia ; Similarity ; Student Mobility ; Universities
Is Part Of: Informatics in education, 2015-01, Vol.14 (1), p.15-36
Description: The growing amount of information in the world has increased the need for computerized classification of different objects. This situation is present in higher education as well where the possibility of effortless detection of similarity between different study courses would give the opportunity to organize student exchange programmes effectively and facilitate curriculum management and development. This area which currently relies on manual time-consuming expert activities could benefit from application of smartly adapted machine learning technologies. Data in this problem domain is complex leading to inability for automatic classification approaches to always reach the desired result in terms of classification accuracy. Therefore, our approach suggests an automated/semi-automated classification solution, which incorporates both machine learning facilities and interactive involvement of a domain expert for improving classification results. The system’s prototype has been implemented and experiments are carried out. This interactive classification system allows to classify educational data, which often comes in unstructured or semi-structured, incomplete and/or insufficient form, thus reducing the number of misclassified instances significantly in comparison with the automatic machine learning approach.
Publisher: Vilnius: Vilniaus Universiteto Leidykla
Language: Lithuanian;English
Identifier: ISSN: 1648-5831
EISSN: 2335-8971
DOI: 10.15388/infedu.2015.02
Source: ERIC Full Text Only (Discovery)
CEEOL: Open Access
ProQuest Central
DOAJ Directory of Open Access Journals

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Application of Interactive Classification System in University Study Course Comparison

Copyright Institute of Mathematics and Informatics 2015 ;ISSN: 1648-5831 ;EISSN: 2335-8971 ;DOI: 10.15388/infedu.2015.02

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