Article

A Scalable Intelligent Tutoring System Framework for Computer Science Education

Authors:

Rachel HarsleyAuthors Info & Claims

CSEDU 2015: Proceedings of the 7th International Conference on Computer Supported Education - Volume 1

Pages 372 - 379

https://doi.org/10.5220/0005453103720379

Published: 23 May 2015 Publication History

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.

Cited By

View all

Qi RFossati DZhang JSherriff MHeckman SCutter PMonge A(2020)Unlimited Trace TutorProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366939(427-433)Online publication date: 26-Feb-2020
https://dl.acm.org/doi/10.1145/3328778.3366939
Jiao JHan DLiu YNakayama MLou FBannier BWatanabe H(2018)Exploiting critical factors for higher education course construction of teaching in a second languageProceedings of the 10th International Conference on Education Technology and Computers10.1145/3290511.3290545(39-43)Online publication date: 26-Oct-2018
https://dl.acm.org/doi/10.1145/3290511.3290545
Harsley RFossati DDi Eugenio BGreen NCaspersen MEdwards SBarnes TGarcia D(2017)Interactions of Individual and Pair Programmers with an Intelligent Tutoring System for Computer ScienceProceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education10.1145/3017680.3017786(285-290)Online publication date: 8-Mar-2017
https://dl.acm.org/doi/10.1145/3017680.3017786
Show More Cited By

Index Terms

A Scalable Intelligent Tutoring System Framework for Computer Science Education
1. Applied computing
  1. Education
2. Social and professional topics
  1. Professional topics
    1. Computing education

Recommendations

Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System
CSCW '16 Companion: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion

This paper focuses on the motivation, design, and initial prototype implementation of Collab-ChiQat. Collab-ChiQat is a collaborative reconceptualization of an existing intelligent tutoring system for Computer Science Education originally intended for ...
Towards an Intelligent Tutoring System Architecturethat Supports Remedial Tutoring

For successful teaching to take place an intelligent tutoring system has to be able to cope with any student errors that may occur during a tutoring interaction. Remedial tutoring is increasingly viewed as a central part of the overall tutoring process, ...
Tutoring model for promoting teaching skills of computer science prospective teachers
ITiCSE '08: Proceedings of the 13th annual conference on Innovation and technology in computer science education

One of the greatest challenges Computer Science (CS) teachers face is that of guiding their pupils through problem-solving processes, i.e., the process of constructing a solution for a given problem as an algorithm or a computer program. This paper ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CSEDU 2015: Proceedings of the 7th International Conference on Computer Supported Education - Volume 1

May 2015

544 pages

ISBN:9789897581076

Editors:
Markus Helfert
Dublin City University
,
Maria Teresa Restivo
FEUP
,
Susan Zvacek
University of Denver
,
James Uhomoibhi
University of Ulster

Publisher

SCITEPRESS - Science and Technology Publications, Lda

Setubal, Portugal

Publication History

Published: 23 May 2015

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Qi RFossati DZhang JSherriff MHeckman SCutter PMonge A(2020)Unlimited Trace TutorProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366939(427-433)Online publication date: 26-Feb-2020
https://dl.acm.org/doi/10.1145/3328778.3366939
Jiao JHan DLiu YNakayama MLou FBannier BWatanabe H(2018)Exploiting critical factors for higher education course construction of teaching in a second languageProceedings of the 10th International Conference on Education Technology and Computers10.1145/3290511.3290545(39-43)Online publication date: 26-Oct-2018
https://dl.acm.org/doi/10.1145/3290511.3290545
Harsley RFossati DDi Eugenio BGreen NCaspersen MEdwards SBarnes TGarcia D(2017)Interactions of Individual and Pair Programmers with an Intelligent Tutoring System for Computer ScienceProceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education10.1145/3017680.3017786(285-290)Online publication date: 8-Mar-2017
https://dl.acm.org/doi/10.1145/3017680.3017786
Harsley RGreen NAlizadeh MAcharya SFossati DDi Eugenio BAlZoubi OAlphonce CTims JCaspersen MEdwards S(2016)Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring SystemProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844637(675-680)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844637
AlZoubi OFossati DDi Eugenio BGreen NAlizadeh MHarsley RSettle ASteinbach TBoisvert D(2015)A Hybrid Model for Teaching RecursionProceedings of the 16th Annual Conference on Information Technology Education10.1145/2808006.2808030(65-70)Online publication date: 29-Sep-2015
https://dl.acm.org/doi/10.1145/2808006.2808030
Di Eugenio BGreen NAlZoubi OAlizadeh MHarsley RFossati DSettle ASteinbach TBoisvert D(2015)Worked-out Examples in a Computer Science Intelligent Tutoring SystemProceedings of the 16th Annual Conference on Information Technology Education10.1145/2808006.2808011(121-121)Online publication date: 29-Sep-2015
https://dl.acm.org/doi/10.1145/2808006.2808011

Abstract

Cited By

Index Terms

Recommendations

Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System

Towards an Intelligent Tutoring System Architecturethat Supports Remedial Tutoring

Tutoring model for promoting teaching skills of computer science prospective teachers

Comments

Information

Published In

Publisher

Publication History

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations