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基於知識結構之適性診斷測驗系統的防猜選題策略

A Study of Reducing Guessing Effects in Knowledge Structure-Based Adaptive Testing System

摘要


「以知識結構為基礎之適性測驗」(knowledge structure based adaptive testing,KSAT)現有的選題策略中,若學生猜中上位試題,導致系統判定下位試題皆正確,會影響電腦化適性測驗的預測精準度。 因此本研究將改良以知識結構為基礎之適性測驗的選題策略,降低受試者猜測度,以提升適性測驗之預測精準度,並於以知識結構為基礎之適性測驗系統上進行模擬實驗,以評估改良後的選題策略之成效。 根據模擬實驗結果,改良後的選題策略可用較少的施測題數達到較佳的預測精準度。

並列摘要


We proposed a strategy to improve the item-selection strategy in knowledge structure-based adaptive testing system(KSAT) in order to reduce guessing effects. Thus we proceeded simulate experimentation in KSAT to evaluate the efficiency of improved item-selection strategy. KSAT is an adaptive testing system based on knowledge structure which not only decrease the test items but also preserve prediction accuracy. However, the prediction accuracy in KSAT will be affected by guessing items of upper-level concept . According to results of simulate experimentation, the improved strategy can decrease the test items and preserve prediction accuracy.

參考文獻


何政翰(2004)。國小數學領域電腦適性化測驗系統之建製。國立台中師範學院。
吳慧珉(2006)。KSAT選題策略強韌性探究。測驗統計年刊。14,1-16。
許志毅(2004)。國小數學領域電腦化適性診斷測驗及補救教學系統之內容開發及試用-以「扇形」單元為例。國立台中師範學院。
郭伯臣()。,未出版。
郭伯臣()。,未出版。

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林清煌(2012)。以貝氏網路為基礎之國中數學數位教材及電腦適性測驗之研發─以最大公因數與最小公倍數單元為例〔碩士論文,亞洲大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0118-1511201215461357
莊峰魁(2012)。「光」單元之選擇題與建構反應試題之線上測驗研發〔碩士論文,亞洲大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0118-1511201215465305

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