PENGEMBANGAN COMPUTERIZED ADAPTIVE TESTING (CAT) MENGGUNAKAN METODE POHON SEGITIGA KEPUTUSAN
Abstract
Kata kunci: metode pohon segitiga keputusan, metode maximum likelihood
______________________________________________________________
DEVELOPING COMPUTERIZED ADAPTIVE TESTING (CAT) BY USING THE TRIANGLE DECISION TREE METHOD
Abstract This research aims at producing a CAT software that uses the tri-angle decision tree method in the test item selection procedure and detecting the CAT ability in estimating the test-takers’ ability accurately and correctly. This research used the research and development approach (R&D). The data were collected through observation, documentation, inquiry, and the data were analyzed descriptively and quantitatively. The findings are as follows. (1) The CAT developed is:based on users’ need, web-based, user-friendly, interactive, highly secured, and easily accessible. (2) The CAT can recognize three different users: school administrators, teachers, and students. (3) The CAT software is able to provide adaptive items according to students’ answers. Overall, the CAT software can perform the tasks well to select test items and to measure test-takers’ability. It can be seen from correlation value between ability estimation result (θ) in CAT with nilai ulangan murni (NUM) students at school which is high enough t that is 0, 67.
Keywords: the triangle decision tree method, maximum likelihood method
Full Text:
FULL TEXT PDFReferences
Borg, W.R. & Gall, M.D. (2003). Education research an introduction. New York: Von Hoffman Press, Inc.
Djemari Mardapi. (2008). Teknik penyusunan instrumen tes dan nontes. Yogyakarta: Mitra Cendikia Press.
Gronlund, N.E. (1976). Measurement and evaluation in teaching. New York: Macmillan Publishing Co.
Hambleton, R.K. & Swaminathan, H. & Rogers, H.J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage Publication Inc.
Lord, F.M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.
Masters, N.G. & Keeves, P.J. (1999). Advances in measurement in educational research and assessment. New York: Pergamon Press.
Phankokkruad, M. & Woraratpanya, K. (2008). An automated decision system for computer adaptive testing using genetic algorithms. Ninth ACIS International Conference on Engineering, Artificial Intelligence, Networking, and Parallel, 655-660.
Wainer, H. (1990). Computerized adaptive testing: A primer. Hillsdale, NJ: Lawrence Erlbaum Associates, Publisher.
Weiss, D.J. (2004). Computerized adaptive testing for effective and efficient measurement in counseling and education. Measurement and Evaluation in Counseling and Development, 37, 70.
DOI: https://doi.org/10.21831/pep.v16i2.1132
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Find Jurnal Penelitian dan Evaluasi Pendidikan on:
ISSN 2338-6061 (online) || ISSN 2685-7111 (print)
View Journal Penelitian dan Evaluasi Pendidikan Visitor Statistics