Abstract
Generating questions for evaluation and assessment of learner’s knowledge, in an e-learning system, is usually a tedious job for the instructor. There are approaches being made to automatically generate questions from content of an e-learning course. However, there is a general procedure of using only the content provided by the instructor, to generate questions, which are applicable on these automated question generation systems. Here a proposed approach to develop questions from the instructional objectives of an e-learning system, irrespective of the e-learning content, is presented. These questions which are being generated are aimed to satisfy the instructional objectives of the instructor and learning objectives to the learner. This reduces the necessity of questions being generated from a particular content and provides a proposed methodical framework to generate questions having similar instructional and learning objectives.
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References
Inamullah, H.M.: A study of lower-order and higher-order questions at secondary level. Asian Soc. Sci. 7(9), 149 (2011)
Alsubait, T., Parsia, B., Sattler, U.: Automatic generation of analogy questions for student assessment: an ontology-based approach. Res. Learning Technol. 20, (2012)
Papasalouros, A., Kanaris, K., Kotis, K.: Automatic generation of multiple choice questions from domain ontologies. In: IADIS e-Learning Conference, pp. 427–434 (2008)
Ali, H., Chali, Y., Hasan, S.: Automatic question generation from sentences. In: Proceedings of QG2010: The Third Workshop on Question Generation, pp. 58–67 (2010)
Heilman, M.: Automatic factual question generation from text. Ph.D. Dissertation, Carnegie Mellon University (2011)
Skalban, Y., Le, An. Ha., Specia, L., Mitkov, R.: Automatic question generation in multimedia-based learning. In: COLING (Posters), pp. 1151–1160 (2012)
Huang, Y.T., Tseng, Y.M., Sun, Y.S., Chen, M.C.: TEDQuiz: Automatic Quiz Generation for TED Talks Video Clips to Assess Listening Comprehension. In: IEEE 14th International Conference on Advanced Learning Technologies, pp. 350–354. IEEE Press, Athens (2014)
Iwane, N., Chunming, G., Yoshida, M.: Question generation for learner centred learning. In: IEEE 13th International Conference on Advanced Learning Technologies, pp. 330–332. IEEE Press, Beijing (2013)
Paul, D.V., Naik, S.B., Rane, P., Pawar, J.D.: Use of an evolutionary approach for question paper template generation. In: IEEE Fourth International Conference on Technology for Education, pp. 144–148. IEEE Press, Hyderabad (2013)
Kale, V.M., Kiwelekar, A.W.: An Algorithm for question paper template generation in question paper generation system. In: International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, pp. 256–261, IEEE Press, Konya (2013)
Al-Yahya, M.: OntoQue: A question generation engine for educational assessment based on domain ontologies. In: 11th IEEE International Conference on Advanced Learning Technologies, pp. 393–395. IEEE Press, Athens (2011)
Johnson, K., Hall, T., O’Keeffe, D.: Generation of Quiz Objects (QO) with a Quiz Engine Developer (QED). In: IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 120–122. IEEE Press (2005)
Blooms Taxonomy: http://en.wikipedia.org/wiki/Bloom’s_taxonomy
Shorser, L.: Blooms taxonomy interpreted for mathematics (1999). http://www.math.toronto.edu/writing/BloomsTaxonomy.pdf
Bloom, B.S.: Taxonomy of educational objectives: The classification of educational goals: Handbook I, cognitive domain. Longmans, Green, New York (1956)
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Das, S., Chatterjee, R., Mandal, J.K. (2016). An Approach for Creating Framework for Automated Question Generation from Instructional Objective. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 379. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2517-1_51
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DOI: https://doi.org/10.1007/978-81-322-2517-1_51
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