A Conceptual Framework for Extending Domain Model of AI-enabled Adaptive Learning with Sub-skills Modelling

Ioana Ghergulescu, Conor Flynn, Conor O’Sullivan, Ivo van Heck, Martijn Slob

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 Harvard Style

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, pages 116-123. DOI: 10.5220/0010451201160123


in Bibtex Style

@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},
}


in EndNote Style

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
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