Question generation model based on key-phrase, context-free grammar, and Bloom’s taxonomy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-020-10356-4.pdf
Reference41 articles.
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2. Al-Yahya, M. (2011). OntoQue: A question generation engine for educational assesment based on domain ontologies. In Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, ICALT 2011 (pp. 393–395). IEEE. https://doi.org/10.1109/ICALT.2011.124.
3. Bloom, B.S. (1956). Taxonomy of educational objectives: The classification of educational goals.
4. Chao, Z., & Li, L. (2018). The combination of context information to enhance simple question answering. In Proceedings - 2018 5th international conference on behavioral, economic, and socio-cultural computing, BESC 2018 (pp. 109–114). https://doi.org/10.1109/BESC.2018.8697305.
5. Diab, S., & Sartawi, B. (2017). Classification of questions and learning outcome statements (LOS) into Bloom’s taxonomy (BT) by similarity measurements towards extracting of learning outcome from learning material. International Journal of Managing Information Technology, 9(2), 01–12. https://doi.org/10.5121/ijmit.2017.9201.
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