Evaluation of auto-generated distractors in multiple choice questions from a semantic network-Reference-Cited by-同舟云学术

Evaluation of auto-generated distractors in multiple choice questions from a semantic network

Published:2019-05-21 Issue:6 Volume:29 Page:1019-1036
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Zhang Lishan¹,VanLehn Kurt²

Affiliation:

1. National Engineering Research Center for E-learning, Central China Normal University, Wuhan, People’s Republic of China

2. Computing, Informatics and Decision Science Engineering, Arizona State University, Tempe, AZ, USA

Funder

National Natural Science Foundation of China

Division of Undergraduate Education

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2019.1619586

Reference47 articles.

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3. Aleven, V., McLaren, B. M., Sewall, J. & Koedinger, K. R. (2006). The cognitive tutor authoring tools (CTAT): Preliminary evaluation of efficiency gains. Paper presented at the Intelligent Tutoring Systems.

4. Alsubait, T., Parsia, B. & Sattler, U. (2014). Generating multiple choice questions from ontologies: lessons learnt. Paper presented at the The 11th OWL: Experiences and Directions Workshop (OWLED2014).

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