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Authors: Ioana Ghergulescu 1 ; Conor Flynn 1 ; Conor O’Sullivan 1 ; Ivo van Heck 2 and Martijn Slob 2

Affiliations: 1 Adaptemy, Dublin, Ireland ; 2 AlgebraKIT, Eindhoven, The Netherlands

Keyword(s): AI-enabled Adaptive Learning System, User Modelling, Scaffolding.

Abstract: This paper proposes a conceptual framework of an AI-ALS that extends the Domain Model with sub-skill modelling, to empower teachers with insights, create student awareness of sub-skills mastery level and provide better learning recommendations. The paper also presents the BuildUp Algebra Tutor, an online maths platform for secondary schools based on the proposed framework, that provides step-by-step scaffolding. Results from a pilot study with 5th grade students showed that the scaffolding improved the student success rate by 27.43%, and that the learner model achieves high sub-skill prediction performance with an AUC of up to 0.944. Moreover, survey results show an increase in student self-reported metrics such as confidence.

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Paper citation in several formats:
Ghergulescu, I.; Flynn, C.; O’Sullivan, C.; van Heck, I. and Slob, M. (2021). A Conceptual Framework for Extending Domain Model of AI-enabled Adaptive Learning with Sub-skills Modelling. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-502-9; ISSN 2184-5026, SciTePress, pages 116-123. DOI: 10.5220/0010451201160123

@conference{csedu21,
author={Ioana Ghergulescu. and Conor Flynn. and Conor O’Sullivan. and Ivo {van Heck}. and Martijn Slob.},
title={A Conceptual Framework for Extending Domain Model of AI-enabled Adaptive Learning with Sub-skills Modelling},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2021},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010451201160123},
isbn={978-989-758-502-9},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - A Conceptual Framework for Extending Domain Model of AI-enabled Adaptive Learning with Sub-skills Modelling
SN - 978-989-758-502-9
IS - 2184-5026
AU - Ghergulescu, I.
AU - Flynn, C.
AU - O’Sullivan, C.
AU - van Heck, I.
AU - Slob, M.
PY - 2021
SP - 116
EP - 123
DO - 10.5220/0010451201160123
PB - SciTePress

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