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Authors: Irena Nančovska Šerbec ; Alenka Žerovnik and Jože Rugelj

Affiliation: University of Ljubljana, Slovenia

Keyword(s): Adaptive assessment, Formative assessment, Machine learning, Decision tree, Decision rules.

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 several formats:
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 (CSEDU 2011) - Volume 2: ATTeL; ISBN 978-989-8425-50-8; ISSN 2184-5026, SciTePress, pages 473-479. DOI: 10.5220/0003521104730479

@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 (CSEDU 2011) - Volume 2: ATTeL},
year={2011},
pages={473-479},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003521104730479},
isbn={978-989-8425-50-8},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Computer Supported Education (CSEDU 2011) - Volume 2: ATTeL
TI - ADAPTIVE ASSESSMENT BASED ON DECISION TREES AND DECISION RULES
SN - 978-989-8425-50-8
IS - 2184-5026
AU - Nančovska Šerbec, I.
AU - Žerovnik, A.
AU - Rugelj, J.
PY - 2011
SP - 473
EP - 479
DO - 10.5220/0003521104730479
PB - SciTePress