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http://dx.doi.org/10.14697/jkase.2009.29.8.812

Analysis of Test Result at Secondary Science Using Cognitive Diagnosis theory  

Kim, Ji-Young (Ewha Womans University)
Kim, Soo-Jin (Korea Institute for Curriculum and Evaluation)
Publication Information
Journal of The Korean Association For Science Education / v.29, no.8, 2009 , pp. 812-823 More about this Journal
Abstract
The purpose of this study is to search effective assessments methods by using the Fusion model of Cognitive diagnosis theory. Attributes are skills or cognitive processes that are required to perform correctly on a particular item. After test items were developed, item's attributes were decided and Q-matrix about item's attributes was made. After testing, the result was analyzed according to gender and achievement level. The results of the analysis showed that students mastered 'Interpreting data' best, and 'synthesizing' worst among the five attributes. Female students showed higher ability than male students in 'recalling.' Students of high achievement level mastered more scientific attributes than students of low achievement level. Conventional assessments only provided a single summary score but Cognitive diagnosis modeling provided useful information by estimating individual knowledge states by assessing whether an examinee has mastered specific attributes measured by the science test. The skill profiles can offer a skill level of strong, weak, or mixed for each student for each skill. Therefore, the skill profiles will provide useful diagnostic information in addition to single overall scores.
Keywords
scientific attributes; cognitive diagnosis theory; Fusion Model; Q-matrix;
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1 김성훈(2005). 인지구조모형에 근거한 학생의 지식상태 진단. 교육학연구, 43(1), 81-107
2 김성훈, 박영선(2004). 오개념 진단 및 교정을 위한 규칙장 모델의 알고리즘 개발. 교육평가연구, 17(2), 183-195
3 김수진, 송미영, 김선희 (2008). Fusion Model에 의한 수학 능력 진단을 위한 Q-행렬의 정교화. 교육평가연구, 21(2), 115-139
4 DiBello, L., Stout, W., & Rousses, L. (1995). Unified cognitive/psychometric diagnostic assessment likelihood-based classification techniques. In P. D. Nichols, S. F. Chipman, and R. L. Brennan (Eds.), Cognitively Diagnostic Assessment. Hillsdale, NJ: Lawrence Erlbaum Associates
5 Mullis, I. V. S., Martin, M. O., Ruddock, G. J., O’SullⅣan, C. Y., Arora, A., & Erberber, E. (2005). TIMSS 2007 Assessment Framework. TIMSS & PIRLS International Study Center, Lynch School of Education. Boston: Boston College
6 Tatsuoka, K. K. (1995). Architecture of knowledge structure and cognitive diagnosis: A statistical pattern recognition and classification approach. In P. D. Nichols, S. F. Chipman, and R. L. Brennan (Eds.), Cognitively Diagnostic Assessment. Hillsdale, NJ: Lawrence Erlbaum Associates
7 Tatsuoka, K. K., Corter, J. E., & Tatsuoka, C. (2004). Patterns of Diagnosed Mathematical Content and Process Skills in TIMSS-R Across a Sample of 20 Countries. Educational Research Journal, 41(4), 901-926   DOI   ScienceOn
8 Hartz, S.(2002). A Bayesian framework for the Unified Model for assessing cognitive abilities: bledning theory wit practice. Doctoral thesis, The University of Illinois at Urbana-Champaign
9 김명화(1997). 학습자의 인지 진단 방법에 관한 연구-분수의 인지과정모델에 Bayesian 추론망 모델 적용-. 고려대학교 박사학위 논문
10 De la Torre, J.(2008). An Empirically Based Method of Q-matrix Validation for the DINA Model: Development and Application. Journal of Educational Measurement, 45(4), 343-362   DOI   ScienceOn
11 McMillan, J. H. (2004). Classroom assessment principle and practice for effective instruction. Boston: Allyn & Bacon
12 김성호, 송미영(1997). 범주형 자료의 인과모형에 의한 능력상태 추정과 교육적 활동. 교육평가연구,10(1), 183-212
13 교육인적자원부 (2007). 과학과 교육과정. 교육인적자원부 고시 제 2007 - 79호 [별책 9]
14 김성훈(2007). 집단수준의 점수해석 기준을 이용한 개인수준의 진단: ACT 수학평가 자료, 학습발달표준, 규칙장이론 활용. 교육평가연구, 20(1), 165-194
15 Hartz, S., Roussos, L., & Stout, W. (2002). Skills Diagnosis: Theory and Practice. User Manual for Arpeggio software. ETS
16 Dogan, E. & Tatsuoka, K. (2008). An international comparison using a diagnostic testing model: Turkish students’profile of mathematical skills on TIMSS-R. Educational Studies in Mathematics, 68(3), 263-272   DOI   ScienceOn
17 Embretson, S. (1990). Diagnostic testing by measuring learning processes: Psychometric considerations for dynamic testing. In N. Frederiksen, R. L. Glasser, A. M. Lesgold, and M. G. Shafto (Eds.), Diagnostic monitoring of skills and knowledge acquisition. Hillsdale, NJ: Lawrence Erlbaum Associates
18 Tatsuoka, K. K. (1990). Toward integration of item response theory and cognitive error diagnoses. In N. Frederiksen, R. L. Glasser, A. M. Lesgold, and M. G. Shafto (Eds.), Diagnostic monitoring of skills and knowledge acquisition. Hillsdale, NJ: Lawrence Erlbaum Associates
19 Chipman, S.F, Nichols, P., Brennan, R.L. (1995). Introduction, In P. D. Nichols, S. F. Chipman, and R. L. Brennan (Eds.), Cognitively Diagnostic Assessment. Hillsdale, NJ: Lawrence Erlbaum Associates
20 Tatsuoka, K. K. (1983). Rule space: An approach for dealing with misconceptions based on item response theory. Journal of Educational Measurement, 20(4), 345-354   DOI   ScienceOn