基于程序性知识学习的项目状态转移函数与多分知识结构

doi:10.16451/j.cnki.issn1003-6059.202203003

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Abstract In the assessment of procedural knowledge, skills refer to the operation paths relevant to the solution of an item. Based on the learning assessment of procedural knowledge, a method of delineating polytomous knowledge structure from the state structure of the item itself is proposed to establish a polytomous assessment system for problem solving. Firstly, the response values are set according to the solution or operation process of each item to obtain the item-specific response value set. The item state space is defined by item state transition function, and the problem space is extended to polytomous case. Then,the conjunctive skill maps are derived from the operation paths, and the polytomous knowledge structures delineated by the conjunctive skill maps are discussed. The results show that the polytomous knowledge structure delineated by a skill map based on the conjunctive model satisfies the item-wise intersection closure. Finally, the algorithm steps of delineating polytomous knowledge structure are given, and the effectiveness of the proposed algorithm is illustrated by an example.

Key words： Item State Transition Function Operation Path Conjunctive Skill Map Polytomous Knowledge Structure

Received: 11 November 2021

ZTFLH:

TP 182

Fund:National Natural Science Foundation of China(No.11871259,11971287), Natural Science Foundation of Fujian Province(No.2019J01748,2020J02043)

Corresponding Authors: LI Jinjin, Ph.D., professor. His research interests include topology, rough set and concept lattice.

About author:: SUN Xiaoyan, master, lecturer. Her research interests include topology, rough set and concept lattice.

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Cite this article:

SUN Xiaoyan,LI Jinjin. Item State Transition Functions and Polytomous Knowledge Structures Based on Procedural Knowledge Learning[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(3): 223-242.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202203003 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2022/V35/I3/223

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