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Using Wikipedia and Conceptual Graph Structures to Generate Questions for Academic Writing Support

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4 Author(s)
Ming Liu ; Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia ; Calvo, R.A. ; Aditomo, A. ; Pizzato, L.A.

In 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.

Published in:

Learning Technologies, IEEE Transactions on  (Volume:5 ,  Issue: 3 )