智慧型系統應用於小學國語文章分級評估

An Evaluation of Intelligent Systems Applied on Grading Mandarin Articles in Elementary School

張志成(Chih-Chen Chang)

指導教授 ： 黃有評

大同大學/電機資訊學院/資訊工程學系所/碩士(2008年)

摘要

實行教育改革以來，教材設計在一綱多本的架構下，雖然造就了教材的多樣性，可是，不同的難易度設計，卻在不同學年與相異版本上產生銜接的真空帶。本研究嘗試以類神經網路技術，針對國小國語課文的用字量與用字難度方面做研究，找出各學年課文中具有典型特徵的文章，並依此典型特徵訓練倒傳遞網路，以做為課文合適學年的辨識。本研究設計出一套可分辨文章合適學年的系統，系統同時整合了人性化的操作介面，提供文章修改建議並能即時修改即時分析及顯示分析結果。本項研究成果可供小學文章作者，未來撰寫課文時做為是否符合學年使用的參考。

關鍵字

智慧型系統 ； 類神經網路 ； 小學文章 ； 分級

並列摘要

The design of teaching materials, under the construction of one outline and multiple textbook edition, has diversified the teaching materials since the implementation of educational reform. The design of various levels of contents generates a gap between academic years and textbook versions. This research, conducted by way of artificial neural network, aims at evaluating the amount and level of words of Chinese essays in elementary schools. The articles chosen from each grade are used to train a neural network that can classify the essays to the proper academic years. The proposed model can be applied to modify and analyze articles, and display its results immediately. The users can use the outcome of this research for reference when they plan to write articles for primary schools in the future.

並列關鍵字

Intelligent Systems ； Artificial Neural Network ； Articles in Elementary Schools ； Grading

參考文獻

[19] L. Cameron, “Measuring vocabulary size in English as an additional language,” Language Teaching Research, pp.145-173, May 2002.

[22] A.K. Jain, M.N. Murty, and P.J. Flynn, “Data clustering: a review,” ACM Computing Surveys, vol. 31, no. 3, pp.264-323, September 1999.

[23] D. Roussinov and H.C. Chen, “Document clustering for electronic meetings: an experimental comparison of two techniques,” Decision Support Systems, vol. 27, no. 1, pp.67-79, September 1999.

[26] H.U. Bauer and K. Pawelzik, “Quantifying the neighborhood preservation of self-organizing feature maps,” IEEE Trans. Neural Networks, vol. 3, no. 4, pp.570-579, July 1992.

[27] Mehrotra, K, Chilukuri K. M. and Sanjay R., Elements of Artificial Neural Networks, London: A Bradford Book The MIT Press, p.8, 1997.