An Adaptive Web Tool for Self-assessment using Lightweight User Profiles

Fotis Lazarinis, Vassilios S. Verykios, Chris Panagiotakopoulos


This paper presents an adaptive tool for self-assessments. The proposed system supports the selection of assessment items from an item bank based on a number of criteria such as the topic, the difficulty level of the items and a lightweight learner profile. For interoperability reasons, the assessment items are encoded using the IMS QTI standard and the topics are represented in Topic Maps XML. Items are included in the Topic Map as occurrences in one or more subtopics. The items are retrieved using parameterized XQuery scripts and they are adaptively presented to the user based on their knowledge level. Furthermore, some visual clues are associated to the items in the test that participants should attempt. The evaluation experiments showed that the tool supports more effectively self-assessment and motivates users to be more actively engaged.


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Paper Citation

in Harvard Style

Lazarinis F., S. Verykios V. and Panagiotakopoulos C. (2015). An Adaptive Web Tool for Self-assessment using Lightweight User Profiles . In Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-108-3, pages 14-23. DOI: 10.5220/0005403700140023

in Bibtex Style

author={Fotis Lazarinis and Vassilios S. Verykios and Chris Panagiotakopoulos},
title={An Adaptive Web Tool for Self-assessment using Lightweight User Profiles},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - An Adaptive Web Tool for Self-assessment using Lightweight User Profiles
SN - 978-989-758-108-3
AU - Lazarinis F.
AU - S. Verykios V.
AU - Panagiotakopoulos C.
PY - 2015
SP - 14
EP - 23
DO - 10.5220/0005403700140023