XTutor

An intelligent tutor system for science and math based on excel

Roxana Gheorghiu, Kurt VanLehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

VanLehn argued that an essential feature of many intelligent tutoring systems (ITSs) is that they provide feedback and hints on every step of a multi-step solution.But if step-based feedback and hints alone suffice for strong learning gains, as Anderson et al. conjecture ([1]), then perhaps a lightweight tutoring system that employ only feedback and bottom-out hints would have advantages. This motivates the current project.Using Excel there are some immediately advantages that can be obtained: most people is familiar with its user interface and its notation for mathematical expressions, Excel already contains facilities for solving some systems of equations and it can be easy combined with many other pieces of software, making it easier for instructors to include the tutor in their course activities. Finally, web-based delivery is simple because most students already have and use Excel.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages749-751
Number of pages3
Volume5091 LNCS
DOIs
StatePublished - 2008
Externally publishedYes
Event9th International Conference on Intelligent Tutoring Systems, ITS 2008 - Montreal, QC, Canada
Duration: Jun 23 2008Jun 27 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5091 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Intelligent Tutoring Systems, ITS 2008
CountryCanada
CityMontreal, QC
Period6/23/086/27/08

Fingerprint

Excel
Intelligent systems
Intelligent Systems
Feedback
Intelligent Tutoring Systems
Web-based
Notation
User Interface
User interfaces
System of equations
Immediately
Students
Software

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Gheorghiu, R., & VanLehn, K. (2008). XTutor: An intelligent tutor system for science and math based on excel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5091 LNCS, pp. 749-751). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5091 LNCS). https://doi.org/10.1007/978-3-540-69132-7-98

XTutor : An intelligent tutor system for science and math based on excel. / Gheorghiu, Roxana; VanLehn, Kurt.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS 2008. p. 749-751 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5091 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gheorghiu, R & VanLehn, K 2008, XTutor: An intelligent tutor system for science and math based on excel. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5091 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5091 LNCS, pp. 749-751, 9th International Conference on Intelligent Tutoring Systems, ITS 2008, Montreal, QC, Canada, 6/23/08. https://doi.org/10.1007/978-3-540-69132-7-98
Gheorghiu R, VanLehn K. XTutor: An intelligent tutor system for science and math based on excel. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS. 2008. p. 749-751. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-69132-7-98
Gheorghiu, Roxana ; VanLehn, Kurt. / XTutor : An intelligent tutor system for science and math based on excel. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5091 LNCS 2008. pp. 749-751 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{fc723e46b17f47fca78ffe59fb4ee4a9,
title = "XTutor: An intelligent tutor system for science and math based on excel",
abstract = "VanLehn argued that an essential feature of many intelligent tutoring systems (ITSs) is that they provide feedback and hints on every step of a multi-step solution.But if step-based feedback and hints alone suffice for strong learning gains, as Anderson et al. conjecture ([1]), then perhaps a lightweight tutoring system that employ only feedback and bottom-out hints would have advantages. This motivates the current project.Using Excel there are some immediately advantages that can be obtained: most people is familiar with its user interface and its notation for mathematical expressions, Excel already contains facilities for solving some systems of equations and it can be easy combined with many other pieces of software, making it easier for instructors to include the tutor in their course activities. Finally, web-based delivery is simple because most students already have and use Excel.",
author = "Roxana Gheorghiu and Kurt VanLehn",
year = "2008",
doi = "10.1007/978-3-540-69132-7-98",
language = "English (US)",
isbn = "3540691308",
volume = "5091 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "749--751",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - XTutor

T2 - An intelligent tutor system for science and math based on excel

AU - Gheorghiu, Roxana

AU - VanLehn, Kurt

PY - 2008

Y1 - 2008

N2 - VanLehn argued that an essential feature of many intelligent tutoring systems (ITSs) is that they provide feedback and hints on every step of a multi-step solution.But if step-based feedback and hints alone suffice for strong learning gains, as Anderson et al. conjecture ([1]), then perhaps a lightweight tutoring system that employ only feedback and bottom-out hints would have advantages. This motivates the current project.Using Excel there are some immediately advantages that can be obtained: most people is familiar with its user interface and its notation for mathematical expressions, Excel already contains facilities for solving some systems of equations and it can be easy combined with many other pieces of software, making it easier for instructors to include the tutor in their course activities. Finally, web-based delivery is simple because most students already have and use Excel.

AB - VanLehn argued that an essential feature of many intelligent tutoring systems (ITSs) is that they provide feedback and hints on every step of a multi-step solution.But if step-based feedback and hints alone suffice for strong learning gains, as Anderson et al. conjecture ([1]), then perhaps a lightweight tutoring system that employ only feedback and bottom-out hints would have advantages. This motivates the current project.Using Excel there are some immediately advantages that can be obtained: most people is familiar with its user interface and its notation for mathematical expressions, Excel already contains facilities for solving some systems of equations and it can be easy combined with many other pieces of software, making it easier for instructors to include the tutor in their course activities. Finally, web-based delivery is simple because most students already have and use Excel.

UR - http://www.scopus.com/inward/record.url?scp=70349847583&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349847583&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-69132-7-98

DO - 10.1007/978-3-540-69132-7-98

M3 - Conference contribution

SN - 3540691308

SN - 9783540691303

VL - 5091 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 749

EP - 751

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -