You are here:

Application of Interactive Classification System in University Study Course Comparison

, , , ,

Informatics in Education Volume 14, Number 1, ISSN 1648-5831


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. [A bibliography is included.]


Birzniece, I., Rudzajs, P., Kalibatiene, D., Vasilecas, O. & Rencis, E. (2015). Application of Interactive Classification System in University Study Course Comparison. Informatics in Education, 14(1), 13-34. Retrieved December 2, 2022 from .

This record was imported from ERIC on November 3, 2015. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.