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Using Wikipedia and Conceptual Graph Structures to Generate Questions for Academic Writing Support
- Source :
-
IEEE Transactions on Learning Technologies . 3rd Qtr 2012 5(3):251-263. - Publication Year :
- 2012
-
Abstract
- 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. (Contains 12 tables and 4 figures.)
Details
- Language :
- English
- ISSN :
- 1939-1382
- Volume :
- 5
- Issue :
- 3
- Database :
- ERIC
- Journal :
- IEEE Transactions on Learning Technologies
- Publication Type :
- Academic Journal
- Accession number :
- EJ993170
- Document Type :
- Journal Articles<br />Reports - Research
- Full Text :
- https://doi.org/10.1109/TLT.2012.5