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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Diagnosing examinees' attributes-mastery using the Bayesian inference for binomial proportion: a new method for cognitive diagnostic assessment

Kim, Hyun Seok (John) 05 July 2011 (has links)
Purpose of this study was to propose a simple and effective method for cognitive diagnosis assessment (CDA) without heavy computational demand using Bayesian inference for binomial proportion (BIBP). In real data studies, BIBP was applied to a test data using two different item designs: four and ten attributes. Also, the BIBP method was compared with DINA and LCDM in the diagnosis result using the same four-attribute data set. There were slight differences in the attribute mastery probability estimate among the three model (DINA, LCDM, BIBP), which could result in different attribute mastery pattern. In Simulation studies, it was found that the general accuracy of the BIBP method in the true parameter estimation was relatively high. The DINA estimation showed slightly higher overall correct classification rate but the bigger overall biases and estimation errors than the BIBP estimation. The three simulation variables (Attribute Correlation, Attribute Difficulty, and Sample Size) showed impacts on the parameter estimations of both models. However, they affected differently the two models: Harder attributes showed the higher accuracy of attribute mastery classification in the BIBP estimation while easier attributes was associated with the higher accuracy of the DINA estimation. In conclusion, BIBP appears an effective method for CDA with the advantage of easy and fast computation and a relatively high accuracy of parameter estimation.
2

認知診斷模式在英語簡單句之驗證與應用 / The Verification and Application of Cognitive Diagnosis Models on English Simple Sentences

趙珮晴 Unknown Date (has links)
英語簡單句的認知診斷模式測驗,具有積極的教育意義,其訊息可以協助國小學生瞭解自己,也可以幫助國中小學校進行補救教學,促進國中英語課程的銜接。本研究對象為429位基隆市國民小學六年級學生,自編具有英語簡單句六個認知屬性的試題及其相關影響因素的測量問卷,研究發現如下: 壹、古典測驗理論之試題分析探索題目和相關影響因素: 一、英語簡單句題目,具有內部一致性信度和選項誘答力。 二、英語簡單句題目,以2個或3個認知屬性的題目比僅有1個認知屬性的題目具有難度與鑑別度。 三、自我效能、內在動機題目,具有良好的建構效度和內部一致性信度。 貳、以認知診斷模式分析英語簡單句測驗: 一、對於不良試題,認知診斷模式和古典測驗理論之試題分析結果可相呼應。 二、英語簡單句題目以G-DINA模式進行分析較為適當。 三、DINA模式和G-DINA模式的分析結果,大致相同。 四、僅有1個認知屬性的題目,有較高猜測參數,可能需要再檢視Q矩陣結構或修改試題。 五、認知屬性中,人稱代名詞單複數的判斷之精熟程度最高,而現在式一般動詞在單數或複數人稱上的使用之精熟程度最低。 六、精熟組型中,有幾乎一半的學生均具備全部的認知屬性;但是,也有約略二成的學生不具備任一認知屬性。 參、女學生、有課後英語文課程、高自我效能和高內在動機者,具有較多認知屬性個數的精熟組型 最後,本研究根據研究結果,提出供教育相關當局與人員之教學與研究建議。

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