Open Access
Subscription Access
結合線上診斷評量系統之適性補救教學研究
Abstract
本研究主要目的在建立六年級數學領域「比與比值」單元的線上電腦化適性診斷測驗題庫及補救教學教材。透過實際的線上施測與補救教學的準實驗設計,同時探討此電腦化適性診斷測驗之省題率和精準度、適性選題下錯誤類型與子技能的預測精準度、與補救教材的教學成效。
研究結果顯示:接受此電腦化適性診斷測驗的受試者,比接受全測驗平均可節省39.22%的題目,平均預測精準度為93.22%。在此適性選題下,錯誤類型診斷的精準度平均達96.64%。且以補救教學結構做為補救教學基礎的實驗組,進步幅度大於50%。最後,依據研究結果提出相關建議,以做為後續研究的參考。This study aims to establish an adaptive remedial teaching material and a computerized adaptive diagnostic system on the mathematical unit of ”Ratio” on Grade 6. By on-line testing, we explore the economizing rate, the prediction accuracy of the computerized adaptive diagnostic mathematics test and the accuracy diagnose of the existence of bugs and sub-skills of students. We also evaluate the effect of the adaptive remedial teaching material via adaptive remedial instruction.
The major findings of this study are summarized as follows: The rate of saving items by the computerized adaptive diagnostic system is 39.22% and prediction accuracy is 93.22%. After analyzing the bugs, the prediction accuracy is 96.64%. By adaptive remedial instruction based on knowledge structure, the experimental group had improved above 50%. Finally, according to the experiment result we can render some related suggestions, and be the reference resources for follow-up studies.
研究結果顯示:接受此電腦化適性診斷測驗的受試者,比接受全測驗平均可節省39.22%的題目,平均預測精準度為93.22%。在此適性選題下,錯誤類型診斷的精準度平均達96.64%。且以補救教學結構做為補救教學基礎的實驗組,進步幅度大於50%。最後,依據研究結果提出相關建議,以做為後續研究的參考。This study aims to establish an adaptive remedial teaching material and a computerized adaptive diagnostic system on the mathematical unit of ”Ratio” on Grade 6. By on-line testing, we explore the economizing rate, the prediction accuracy of the computerized adaptive diagnostic mathematics test and the accuracy diagnose of the existence of bugs and sub-skills of students. We also evaluate the effect of the adaptive remedial teaching material via adaptive remedial instruction.
The major findings of this study are summarized as follows: The rate of saving items by the computerized adaptive diagnostic system is 39.22% and prediction accuracy is 93.22%. After analyzing the bugs, the prediction accuracy is 96.64%. By adaptive remedial instruction based on knowledge structure, the experimental group had improved above 50%. Finally, according to the experiment result we can render some related suggestions, and be the reference resources for follow-up studies.
Keywords
電腦化適性診斷測驗; 適性補救教學; 知識結構; 貝氏網路; 比與比值; Computerized adaptive diagnostic system; Adaptive remedial instruction; Knowledge structure; Bayesian networks; Ratio
Citation Format:
周雅釧(Ya-Chuan Chou), 黃志勝(Chih-Sheng Huang), 施淑娟(Shu-Chuan Shih), 郭伯臣(Bor-Chen Kuo), "結合線上診斷評量系統之適性補救教學研究," Journal of Internet Technology, vol. 10, no. 4 , pp. 419-425, Aug. 2009.
周雅釧(Ya-Chuan Chou), 黃志勝(Chih-Sheng Huang), 施淑娟(Shu-Chuan Shih), 郭伯臣(Bor-Chen Kuo), "結合線上診斷評量系統之適性補救教學研究," Journal of Internet Technology, vol. 10, no. 4 , pp. 419-425, Aug. 2009.
Full Text:
PDFRefbacks
- There are currently no refbacks.
Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
JIT Editorial Office, Office of Library and Information Services, National Dong Hwa University
No. 1, Sec. 2, Da Hsueh Rd., Shoufeng, Hualien 974301, Taiwan, R.O.C.
Tel: +886-3-931-7314 E-mail: jit.editorial@gmail.com