Automarking web service

Quan Meng; Laurie Cutrone; Maiga Chang; Kinshuk

doi:10.1109/ICALT.2013.46

Automarking web service

Quan Meng, Laurie Cutrone, Maiga Chang, Kinshuk

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The research team has leveraged the research conducted in recent Natural Language Processing studies and designed a computerized marking mechanism for marking students' short-answers based on the semantic meaning of those answers. An open access Auto marking web service has been developed to provide short-answer marking service for everyone. Auto marking service is also a self-sustainable complete online exam system which schools and teachers can use it to create their own item bank and tests, to manual and to auto mark students' answer sheets, and to review the results from various perspectives such as test, item, and individual student.

Original language	English
Title of host publication	Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Pages	146-148
Number of pages	3
DOIs	https://doi.org/10.1109/ICALT.2013.46
Publication status	Published - 2013
Event	2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013 - Beijing, China Duration: 15 Jul. 2013 → 18 Jul. 2013

Publication series

Name	Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013

Conference

Conference	2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013
Country/Territory	China
City	Beijing
Period	15/07/13 → 18/07/13

Keywords

WordNet
computerized grading
natural language processing
short-answer question
web service

Access to Document

10.1109/ICALT.2013.46

Cite this

@inproceedings{6804764828d5441bad251ea0d8a82a82,

title = "Automarking web service",

abstract = "The research team has leveraged the research conducted in recent Natural Language Processing studies and designed a computerized marking mechanism for marking students' short-answers based on the semantic meaning of those answers. An open access Auto marking web service has been developed to provide short-answer marking service for everyone. Auto marking service is also a self-sustainable complete online exam system which schools and teachers can use it to create their own item bank and tests, to manual and to auto mark students' answer sheets, and to review the results from various perspectives such as test, item, and individual student.",

keywords = "WordNet, computerized grading, natural language processing, short-answer question, web service",

author = "Quan Meng and Laurie Cutrone and Maiga Chang and Kinshuk",

year = "2013",

doi = "10.1109/ICALT.2013.46",

language = "English",

isbn = "9780769550091",

series = "Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013",

pages = "146--148",

booktitle = "Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013",

note = "2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013 ; Conference date: 15-07-2013 Through 18-07-2013",

}

Meng, Q, Cutrone, L, Chang, M & Kinshuk 2013, Automarking web service. in Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013., 6601889, Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013, pp. 146-148, 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013, Beijing, China, 15/07/13. https://doi.org/10.1109/ICALT.2013.46

Automarking web service. / Meng, Quan; Cutrone, Laurie; Chang, Maiga et al.
Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013. 2013. p. 146-148 6601889 (Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

TY - GEN

T1 - Automarking web service

AU - Meng, Quan

AU - Cutrone, Laurie

AU - Chang, Maiga

AU - Kinshuk,

PY - 2013

Y1 - 2013

N2 - The research team has leveraged the research conducted in recent Natural Language Processing studies and designed a computerized marking mechanism for marking students' short-answers based on the semantic meaning of those answers. An open access Auto marking web service has been developed to provide short-answer marking service for everyone. Auto marking service is also a self-sustainable complete online exam system which schools and teachers can use it to create their own item bank and tests, to manual and to auto mark students' answer sheets, and to review the results from various perspectives such as test, item, and individual student.

AB - The research team has leveraged the research conducted in recent Natural Language Processing studies and designed a computerized marking mechanism for marking students' short-answers based on the semantic meaning of those answers. An open access Auto marking web service has been developed to provide short-answer marking service for everyone. Auto marking service is also a self-sustainable complete online exam system which schools and teachers can use it to create their own item bank and tests, to manual and to auto mark students' answer sheets, and to review the results from various perspectives such as test, item, and individual student.

KW - WordNet

KW - computerized grading

KW - natural language processing

KW - short-answer question

KW - web service

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U2 - 10.1109/ICALT.2013.46

DO - 10.1109/ICALT.2013.46

M3 - Published Conference contribution

AN - SCOPUS:84885220825

SN - 9780769550091

T3 - Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013

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BT - Proceedings - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013

T2 - 2013 IEEE 13th International Conference on Advanced Learning Technologies, ICALT 2013

Y2 - 15 July 2013 through 18 July 2013

ER -

Automarking web service

Abstract

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Keywords

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