Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level-Reference-Cited by-同舟云学术

Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level

Published:2019-07-17 Issue: Volume: Page:22-27
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Anikin Anton,Sychev Oleg

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-25719-4_4

Reference16 articles.

1. Al-Yahya M (2014) Ontology-based multiple choice question generation. Sci World J 2014. https://doi.org/10.1155/2014/274949

2. Alsubait T, Parsia B, Sattler U (2013) A similarity-based theory of controlling MCQ difficulty. In: 2013 second international conference on e-learning and e-technologies in education (ICEEE), pp 283–288, Sept 2013. https://doi.org/10.1109/ICeLeTE.2013.6644389

3. Anikin A, Litovkin D, Kultsova M, Sarkisova E (2016) Ontology-based collaborative development of domain information space for learning and scientific research. In: Ngonga Ngomo AC, Křemen P (eds.) Knowledge engineering and semantic web: 7th international conference, KESW 2016, Prague, Czech Republic, 21–23 September 2016, Proceedings, pp. 301–315

4. Anikin A, Litovkin D, Sarkisova E, Petrova T, Kultsova M (2019) Ontology-based approach to decision-making support of conceptual domain models creating and using in learning and scientific research. In: IOP conference series: materials science and engineering, vol 483, p 012074. https://doi.org/10.1088/1757-899x/483/1/012074

5. Bloom BS, Engelhart MB, Furst EJ, Hill WH, Krathwohl DR (1956) Taxonomy of educational objectives. The classification of educational goals. Handbook 1: cognitive domain. Longmans Green, New York

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