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Authors: Nick Green 1 ; Omar AlZoubi 2 ; Mehrdad Alizadeh 1 ; Barbara Di Eugenio 1 ; Davide Fossati 2 and Rachel Harsley 1

Affiliations: 1 University of Illinois at Chicago, United States ; 2 Carnegie Mellon University in Qatar, Qatar

Keyword(s): Intelligent Tutoring Systems, Computer Science Education, Linked Lists, Systems Architecture, Teaching Strategies, Worked-out Examples.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Computer-Supported Education ; e-Learning ; Enterprise Information Systems ; Information Technologies Supporting Learning ; Intelligent Tutoring Systems ; Learning/Teaching Methodologies and Assessment ; Mentoring and Tutoring

Abstract: Computer Science is a difficult subject with many fundamentals to be taught, usually involving a steep learning curve for many students. It is some of these initial challenges that can turn students away from computer science. We have been developing a new Intelligent Tutoring System, ChiQat-Tutor, that focuses on tutoring of Computer Science fundamentals. Here, we outline the system under development, while bringing particular attention to its architecture and how it attains the primary goals of being easily extensible and providing a low barrier of entry to the end user. The system is broadly broken down into lessons, teaching strategies, and utilities, which work together to promote seamless integration of components. We also cover currently developed components in the form of a case study, as well as detailing our experience of deploying it to an undergraduate Computer Science classroom, leading to learning gains on par with prior work.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Green, N.; AlZoubi, O.; Alizadeh, M.; Di Eugenio, B.; Fossati, D. and Harsley, R. (2015). A Scalable Intelligent Tutoring System Framework for Computer Science Education. In Proceedings of the 7th International Conference on Computer Supported Education - CSEDU; ISBN 978-989-758-107-6; ISSN 2184-5026, SciTePress, pages 372-379. DOI: 10.5220/0005453103720379

@conference{csedu15,
author={Nick Green. and Omar AlZoubi. and Mehrdad Alizadeh. and Barbara {Di Eugenio}. and Davide Fossati. and Rachel Harsley.},
title={A Scalable Intelligent Tutoring System Framework for Computer Science Education},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - CSEDU},
year={2015},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005453103720379},
isbn={978-989-758-107-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Computer Supported Education - CSEDU
TI - A Scalable Intelligent Tutoring System Framework for Computer Science Education
SN - 978-989-758-107-6
IS - 2184-5026
AU - Green, N.
AU - AlZoubi, O.
AU - Alizadeh, M.
AU - Di Eugenio, B.
AU - Fossati, D.
AU - Harsley, R.
PY - 2015
SP - 372
EP - 379
DO - 10.5220/0005453103720379
PB - SciTePress