Using syntactic text analysis to estimate educational tasks’ difficulty and complexity
- 作者: Naumov I.S.1, Vykhovanets V.S.1
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隶属关系:
- Institute of Control Sciences
- 期: 卷 77, 编号 1 (2016)
- 页面: 159-178
- 栏目: Large Scale Systems Control
- URL: https://ogarev-online.ru/0005-1179/article/view/150207
- DOI: https://doi.org/10.1134/S0005117916010100
- ID: 150207
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详细
We suggest a routine for automatic estimation of complexity and difficulty of educational tasks. This routine is based on syntactic text analysis, phrases’ predicative structures identification, and semantic network construction. Then we develop a mathematical model which employs a notion on semantic distance between notions–words to calculate the amount of knowledge in a semantic network. We show that the amount of knowledge in a semantic network is a measure in the set of all semantic networks, and the semantic distance makes this set the metric one.
作者简介
I. Naumov
Institute of Control Sciences
编辑信件的主要联系方式.
Email: naigsa@gmail.com
俄罗斯联邦, Moscow
V. Vykhovanets
Institute of Control Sciences
Email: naigsa@gmail.com
俄罗斯联邦, Moscow
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