UPSI Digital Repository (UDRep)
|
|
|
Abstract : |
This study aims to: i) develop problem solving questions of Linear Equations System of Two Variables (LESTV) based on levels of IPT Model, ii) explain the level of students' skill of information processing in solving LESTV problems; iii) explain students' skill in information processing in solving LESTV problems; and iv) explain students' cognitive process in solving LESTV problems. This study involves three phases: i) development of LESTV problem questions based on Tessmer Model; ii) quantitative survey method on analyzing students' skill level of information processing; and iii) qualitative case study method on analyzing students' cognitive process. The population of the study was 545 eighth grade students represented by a sample of 170 students of five Junior High Schools in Hilir Barat Zone, Palembang (Indonesia) that were chosen using cluster sampling. Fifteen students among them were drawn as a sample for the interview session with saturated information obtained. The data were collected using the LESTV problem solving test and the interview protocol. The quantitative data were analyzed using descriptive statistics, while the qualitative data were analyzed using the content analysis. The finding of this study indicated that students' cognitive process was just at the step of indentifying external source and doing algorithm in short-term memory fluently. Only 15.29% students could retrieve type A information and 5.88% students could retrieve type B information from long-term memory. The implication was the development problems of LESTV had validated IPT Model in modelling students' assessment by different level of hierarchy. |
References |
1. (2003) Competency-Based Curriculum Ministry of National Education, (Centre of Curriculum, Research and Development Agency, Jakarta) 2. Gray, P. (2010) Psychology. Cited 183 times. 6th ed., (Worth, New York) 3. Kheong, F.H. Information Processing Taxonomy (DPT): An Alternative Technique for Assessing Mathematical Problem-Solving (1994) Singapore Journal of Education, 14 (1), pp. 31-45. Cited 2 times. doi: 10.1080/02188799408547723 4. Anton, H., Rorris, C. (2010) Elementary Linear Algebra: Application Version. Cited 44 times. John Wiley & Sons, Inc., Singapore 5. Creswell, J.W., Plano, C.V.L. (2007) Design and Conducting Mixed Methods Research. Cited 7166 times. Sage, Thousand Oaks, CA 6. Viera, A.J., Garrett, J.M. Understanding interobserver agreement: The kappa statistic (2005) Family Medicine, 37 (5), pp. 360-363. Cited 3322 times. 7. Streiner, D.L. Starting at the beginning: An introduction to coefficient alpha and internal consistency (2003) Journal of Personality Assessment, 80 (1), pp. 99-103. Cited 1008 times. http://www.tandfonline.com/toc/hjpa20/current doi: 10.1207/S15327752JPA8001_18 8. Guttman, L. A basis for scaling quantitative data (1947) American Social Review, 9, pp. 139-150. Cited 579 times. |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |