ADAPTIVE ASSESSMENT BASED ON DECISION TREES AND DECISION RULES

Irena Nančovska Šerbec, Alenka Žerovnik, Jože Rugelj

Abstract

In the e-learning environment we use adaptive assessment based on machine learning models called decision trees and decision rules. Adaptation of testing procedure relies on performance, current knowledge of test participants, on the goals of educators and on the properties of knowledge shown by participants. The paper presents sequential process of adaptive assessment where human educator or intelligent tutoring system uses different adaptive rules, based on machine learning models, to make formative assessments.

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Paper Citation


in Harvard Style

Nančovska Šerbec I., Žerovnik A. and Rugelj J. (2011). ADAPTIVE ASSESSMENT BASED ON DECISION TREES AND DECISION RULES . In Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011) ISBN 978-989-8425-50-8, pages 473-479. DOI: 10.5220/0003521104730479


in Bibtex Style

@conference{attel11,
author={Irena Nančovska Šerbec and Alenka Žerovnik and Jože Rugelj},
title={ADAPTIVE ASSESSMENT BASED ON DECISION TREES AND DECISION RULES},
booktitle={Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011)},
year={2011},
pages={473-479},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003521104730479},
isbn={978-989-8425-50-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Computer Supported Education - Volume 2: ATTeL, (CSEDU 2011)
TI - ADAPTIVE ASSESSMENT BASED ON DECISION TREES AND DECISION RULES
SN - 978-989-8425-50-8
AU - Nančovska Šerbec I.
AU - Žerovnik A.
AU - Rugelj J.
PY - 2011
SP - 473
EP - 479
DO - 10.5220/0003521104730479