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政大典藏 > College of Informatics > Department of Computer Science > Periodical Articles > Item 140.119/75058

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75058

Title:	Automated Scoring for Creative Problem Solving Ability with Ideation-Explanation Modeling
Authors:	Li, Tsai-yen 李蔡彥 Chang, Chun-yen Wang, Hao-chuan
Contributors:	資科系
Date:	2005
Issue Date:	2015-05-08 16:08:10 (UTC+8)
Abstract:	This paper describes an automated scorer for assessing students` Creative Problem-Solving (CPS) abilities via modeling the intra-structure of students` essays describing their thoughts on solving particular problems. The automated scorer aims to grade students` open-ended responses to an essay-question-type CPS ability test, instead of using typical Likert-type or multiple-choice questions that may be imper- fect to assess the creative perspective of human problem-solving. The scorer is dis- tinguishable to most generic automated essay scoring systems that a bipartite graph- based representation is explicitly built for the pair-wise relation between a student`s ideas and self-explained reasons for a CPS task. This design will enable several ana- lytical approaches for CPS, such as quantitative scoring and qualitative diagnoses. The preliminary empirical evaluation with 20 students` data shows that the scoring results of the scorer is satisfactory and highly correlated with those of human experts (Pearson`s r=.67~.82) in terms of quantitative scoring task. The approach provides a promising solution to support large-scaled studies on human creativity and may fur- ther enable CPS-aware personalization systems.
Relation:	International Conference on Computers in Education - ICCE , pp. 524-531
Data Type:	article
Appears in Collections:	[Department of Computer Science ] Periodical Articles

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WangChangLi_ICCE_05.pdf		266Kb	Adobe PDF2	799	View/Open

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