班級適性化測驗系統之建置-以英語學習護照為例; Development of a Class-based Computerized Adaptive Test System - An Example of an English Learning Passport System

NCU Institutional Repository > 資訊電機學院 > 網路學習科技研究所 > 博碩士論文 > Item 987654321/10102

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題名:	班級適性化測驗系統之建置-以英語學習護照為例;Development of a Class-based Computerized Adaptive Test System - An Example of an English Learning Passport System
作者:	黃本杲;Ben-Gao Huang
貢獻者:	網路學習科技研究所
關鍵詞:	電腦適性化測驗;試題反應理論;學習護照;item response theory;computerized adaptive test;learning passport
日期:	2004-06-28
上傳時間:	2009-09-22 12:06:45 (UTC+8)
出版者:	國立中央大學圖書館
摘要:	本研究旨在利用網路技術與資料庫，以試題反應理論為理論基礎，建置一實施於中小學班級教學環境的網路適性化學習護照系統，老師可以透過本系統建置適性化學習護照及安排學生自學素材。系統除了對學生施測外，亦可以輔助學生在此環境進行線上自學，並於自學後再自我挑戰。隨者地球村形成，英語學習益受重視，同時多媒體、資訊科技與網路技術的發達使得英語學習環境不斷的進步創新，目前英語能力檢測亦逐漸改採電腦化適性測驗。本研究以國小英語聽力測驗做為系統實作案例，並以國小五年級常態編班之學生為估算試題參數樣本，施測對象亦以班級為單位。本系統除了依班級樣本反應來估算試題參數外，亦提供手動設定試題難易等級功能，初步測試結果證明本適性化護照系統之能力估算值與傳統測驗具強相關之關係，使用單參數、三參數或老師自設難易等級均測試出類似結果，本系統在班級教學具可行性。 The purpose of this study is to design and evaluate a class-based computerized adaptive learning passport system which can support class instruction. The estimating function of the system is based on item response theory. Teachers can build item bank and construct adaptive or traditional test by using this system. After test, students can study online learning materials by themselves and doing the same learning passport repeatedly to achieve the teaching goal. As the global village has formed, English learning is much more important than ever. Due to the innovations of multimedia, information and network technologies are more and more useful, the media of language learning has transformed to multimedia, computer and network. The search was implemented in elementary school and practiced on EFL listening test. The test results show that using one class as the estimating parameters population can implement computerized adaptive learning passport, and using teacher defining difficulty degree also can get similar effect. This class-based computerized adaptive learning passport can be implemented in school.
顯示於類別:	[網路學習科技研究所 ] 博碩士論文

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