Abstract
This article describes a new feature of the adaptive assessment system SIETTE that allows for the static and dynamic generation of questions from tables of data for knowledge assessment. Almost the same approach can be used to generate questions from data collected in a spreadsheet, a database query, or a semantic web query using SPARQL. The main problem faced with question generation is ensuring that the questions are valid for assessment. For this reason, most of the existing systems propose to use this mechanism only for low-stakes assessments. In this paper, we propose a methodology to control question generation quality and measure the impact of potential invalid instances on the final score as well as recommend some strategies to overcome these problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chaudhri, V.K., Clark, P.E., Overholtzer, A., Spaulding, A.: Question generation from a knowledge base. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) EKAW 2014. LNCS (LNAI), vol. 8876, pp. 54–65. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13704-9_5
Le, N.-T., Kojiri, T., Pinkwart, N.: Automatic question generation for educational applications – the state of art. In: van Do, T., Thi, H.A.L., Nguyen, N.T. (eds.) Advanced Computational Methods for Knowledge Engineering. AISC, vol. 282, pp. 325–338. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06569-4_24
Unger, C., Bühmann, L., Lehmann, J., Ngonga Ngomo, A.C., Gerber, D., Cimiano, P.: Template-based question answering over RDF data. In: Proceedings of the 21st International Conference on World Wide Web, WWW 2012, pp. 639. ACM Press, New York (2012)
Tamura, Y., Takase, Y., Hayashi, Y., Nakano, Y.I.: Generating quizzes for history learning based on wikipedia articles. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2015. LNCS, vol. 9192, pp. 337–346. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20609-7_32
Foulonneau, M., Ras, E.: Using educational domain models for automatic item generation beyond factual knowledge assessment. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds.) EC-TEL 2013. LNCS, vol. 8095, pp. 442–447. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40814-4_36
Cablé, B., Guin, N., Lefevre, M.: An authoring tool for semi-automatic generation of self-assessment exercises. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 679–682. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39112-5_87
Bühmann, L., Usbeck, R., Ngonga Ngomo, A.-C.: ASSESS — automatic self-assessment using linked data. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 76–89. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25010-6_5
Vega-Gorgojo, G.: Clover Quiz: a trivia game powered by DBpedia. Semantic-Web-Journal.Net
Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-de, J.L.: SIETTE : a web based tool for adaptive testing. Int. J. Artif. Intell. Educ. 14(1), 1–33 (2004)
Conejo, R., Guzmán, E., Trella, M.: The SIETTE automatic assessment environment. Int. J. Artif. Intell. Educ. 26(1), 270–292 (2016)
Rios, A., Millán, E., Trella, M., Pérez-de-la Cruz, J.L., Conejo, R.: Internet based evaluation system. In: Artificial Intelligence in Education, vol. 64 pp. 1896–1898 (1999)
Bongir, A., Attar, V., Janardhanan, R.: Automated quiz generator. Adv. Intell. Syst. Comput. 683, 174–188 (2018)
Alsubait, T., Parsia, B., Sattler, U.: Generating multiple choice questions from ontologies: how far can we go? In: Lambrix, P., et al. (eds.) EKAW 2014. LNCS (LNAI), vol. 8982, pp. 66–79. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17966-7_7
Jouault, C., Seta, K.: Content-dependent question generation for history learning in semantic open learning space. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds.) ITS 2014. LNCS, vol. 8474, pp. 300–305. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07221-0_37
Olney, A., Graesser, A., Person, N.: Question generation from concept maps. Dialogue Discourse 3(2), 75–99 (2012)
Wainer, H., Thissen, D.: How is reliability related to the quality of test scores? what is the effect of local dependence on reliability? Educ. Measure. Issues Pract. 15(1), 22–29 (1996)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Conejo, R., Barros, B., Bertoa, M.F. (2018). Measuring the Quality of Assessment Using Questions Generated from the Semantic Web. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10947. Springer, Cham. https://doi.org/10.1007/978-3-319-93843-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-93843-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93842-4
Online ISBN: 978-3-319-93843-1
eBook Packages: Computer ScienceComputer Science (R0)