Export 333 results:
Filters: First Letter Of Keyword is C  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Computer Programming
Veldkamp, B. P., van der Linden, W. J., & Ariel, A.. (2002). Mathematical-programming approaches to test item pool design (No. RR 02-09) (pp. 93-108). Twente, The Netherlands: University of Twente, Faculty of Educational Science and Technology.
Computer Simulation
Computer Software
He, Q., & Tymms, P.. (2005). A computer-assisted test design and diagnosis system for use by classroom teachers. Journal of Computer Assisted Learning, 21, 419-429.
Ray, R. D. (2004). Adaptive computerized educational systems: A case study. In R. W. Malott, Evidence-based educational methods (pp. 143-169). San Diego, CA. USA: Elsevier Academic Press.
Computer-Assisted Instruction/*methods
computerized adaptive progress test
van Buuren, N., & Eggen, T. J. H. M.. (2017). Latent-Class-Based Item Selection for Computerized Adaptive Progress Tests. Journal of Computerized Adaptive Testing, 5(2), 22-43. doi:10.7333/1704-0502022
computerized adaptive test
Reckase, M., Ju, U., & Kim, S.. (2019). How Adaptive Is an Adaptive Test: Are All Adaptive Tests Adaptive?. Journal of Computerized Adaptive Testing, 7(1), 1-14. doi:10.7333/1902-0701001
computerized adaptive testing
Almond, R. G., & Mislevy, R. J.. (1999). Graphical models and computerized adaptive testing. Applied Psychological Measurement, 23, 223-37.
Berg, S. R. (1996). Dynamic scaling: An ipsative procedure using techniques from computer adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 56, 5824.
Bergstrom, B. A., & Lunz, M. E.. (1994). The equivalence of Rasch item calibrations and ability estimates across modes of administration. In Objective measurement: Theory into practice (Vol. 2, pp. 122-128). Norwood, N.J. USA: Ablex Publishing Co.
Bergstrom, B. A., & Lunz, M. E.. (1999). CAT for certification and licensure. In Innovations in computerized assessment (pp. 67-91). Mahwah, N.J.: Lawrence Erlbaum Associates.
Buyske, S. G. (1999). Optimal design for item calibration in computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 4220.
Chang, H. - H., & Ying, Z.. (1999). a-stratified multistage computerized adaptive testing. Applied Psychological Measurement, 23, 211-222.
Chang, S. - H. (1991). Inter-subtest branching in computerized adaptive testing. Dissertation Abstracts International, 52, 140-141.
Claudio, M. J. C. (1998). Applications of network flows to computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 0855.
Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L., & Ríos, A.. (2004). Siette: a web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 29-61.
Coyle, J. (2001). Final answer?. American School Board Journal, 188, 24-26.
Drasgow, F., & Olson-Buchanan, J. B.. (1999). Innovations in computerized assessment. Mahwah, N.J.: Lawrence Erlbaum Associates, Inc.
Fan, M. (1995). Assessment of scaled score consistency in adaptive testing from a multidimensional item response theory perspective. Dissertation Abstracts International: Section B: the Sciences & Engineering, 55, 5598.
Gershon, R. C. (1996). The effect of individual differences variables on the assessment of ability for Computerized Adaptive Testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 57, 4085.
Glas, C. A. W., & van der Linden, W. J.. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 247-261.
Grodenchik, D. J. (2002). The implications of the use of non-optimal items in a Computer Adaptive Testing (CAT) environment. Dissertation Abstracts International: Section B: the Sciences & Engineering, 63, 1606.
Kim, H. - O. (1994). Monte Carlo simulation comparison of two-stage testing and computerized adaptive testing. Dissertation Abstracts International Section A: Humanities & Social Sciences, 54, 2548.
Kingsbury, G. G. (2002). An empirical comparison of achievement level estimates from adaptive tests and paper-and-pencil tests. In annual meeting of the American Educational Research Association. New Orleans, LA. USA.
Kingsbury, G. G., & Houser, R. L.. (1993). Assessing the utility of item response models: computerized adaptive testing. Educational Measurement: Issues and Practice, 12, 21-27.
PDF icon ICAT- An Adaptive Testing Procedure for the Identification of Idiosyncratic Knowledge Patterns.pdf (322.62 KB)

Pages