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Using Wikipedia and conceptual graph structures to generate questions for academic writing support
Abstract In this paper, we present a novel approachIn this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and Other. Using the content of the matched Wikipedia article, the system then constructs a conceptual graph structure representation for each key phrase and the questions are then generated based the structure. To evaluate the quality of the computer generated questions, we conducted a version of the Bystander Turing test, which involved 20 research students who had written literature reviews for an IT methods course. The pedagogical values of generated questions were evaluated using a semiautomated process. The results indicate that the students had difficulty distinguishing between computer-generated and supervisor-generated questions. Computer-generated questions were also rated as being as pedagogically useful as supervisor-generated questions, and more useful than generic questions. The findings also suggest that the computer-generated questions were more useful for the first-year students than for second or third-year students.ts than for second or third-year students.
Abstractsub In this paper, we present a novel approachIn this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and Other. Using the content of the matched Wikipedia article, the system then constructs a conceptual graph structure representation for each key phrase and the questions are then generated based the structure. To evaluate the quality of the computer generated questions, we conducted a version of the Bystander Turing test, which involved 20 research students who had written literature reviews for an IT methods course. The pedagogical values of generated questions were evaluated using a semiautomated process. The results indicate that the students had difficulty distinguishing between computer-generated and supervisor-generated questions. Computer-generated questions were also rated as being as pedagogically useful as supervisor-generated questions, and more useful than generic questions. The findings also suggest that the computer-generated questions were more useful for the first-year students than for second or third-year students.ts than for second or third-year students.
Bibtextype article  +
Doi 10.1109/TLT.2012.5  +
Has author Liu M. + , Calvo R.A. + , Aditomo A. + , Pizzato L.A. +
Has extra keyword Abstract concept + , Automatic question generation + , Conceptual graph + , First year students + , Key-phrase + , Literature review + , NAtural language processing + , Research fields + , Semi-automated + , Turing tests + , Wikipedia + , Abstracting + , Artificial intelligence + , Computational linguistics + , Graphic methods + , Natural language processing systems + , Quality control + , Supervisory personnel + , Teaching + , Websites + , Students +
Has keyword Automatic question generation + , Natural Language Processing + , Writing support +
Issn 19391382  +
Issue 3  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 251–263  +
Published in IEEE Transactions on Learning Technologies +
Title Using Wikipedia and conceptual graph structures to generate questions for academic writing support +
Type journal article  +
Volume 5  +
Year 2012 +
Creation dateThis property is a special property in this wiki. 8 November 2014 00:46:35  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 00:46:35  +
DateThis property is a special property in this wiki. 2012  +
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