Abstract
This research aims to automatically generate questions to support history learning. The questions are generated semantically with natural language patterns using Linked Open Data (LOD). The generated questions are designed to reinforce history learning by supporting acquisition of new information and encouraging learners to think about their knowledge. In this paper, we describe an evaluation assessing the capability of the system to generate questions of a quality high enough to support learning. The evaluation had two main results: first, the questions generated by the system cover 87% of the questions generated by humans. Second, we confirmed that the system can generate questions that enhance history thinking of the same quality as human generated questions.
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Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia-A crystallization point for the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web 7(3), 154–165 (2009)
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247-1250 (2008)
Bransford, J.D., Brown, A., Cocking, R.: How people learn: Mind, brain, experience, and school. National Research Council, Washington (1999)
Graesser, A., Ozuru, Y., Sullins, J.: What is a good question?. In: Bringing Reading Research To Life. Guilford Press (2010)
Husbands, C.: What is history teaching?: Language, ideas and meaning in learning about the past. Open University Press, Berkshire (1996)
Jouault, C., Seta, K.: Adaptive self–directed learning support by question generation in a semantic open learning space. International Journal of Knowledge and Web Intelligence 4(4), 349–363 (2013)
Otero, J.: Question generation and anomaly detection in texts. In: Hacker, D.J., Dunlosky, J., Graesser, A. C. (Eds.). Handbook of Metacognition in Education, pp. 47-59. Routledge (2009)
Roth, W.M.: Teacher questioning in an open-inquiry learning environment: Interactions of context, content, and student responses. Journal of Research in Science Teaching 33(7), 709–736 (1996)
SparkNotes Editors: SparkNote on World War I (1914–1919). SparkNotes LLC. (2005). http://www.sparknotes.com/history/european/ww1/ (accessed December 12, 2014)
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Jouault, C., Seta, K., Hayashi, Y. (2015). Quality of LOD Based Semantically Generated Questions. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_86
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DOI: https://doi.org/10.1007/978-3-319-19773-9_86
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