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Computerized Adaptive Assessment of Understanding of Programming Concepts in Primary School Children
Hogenboom, Sally A. M.; Hermans, Felienne F. J.; Van der Maas, Han L. J. – Computer Science Education, 2022
Background and Context: Valid assessment of understanding of programming concepts in primary school children is essential to implement and improve programming education. Objective: We developed and validated the Computerized Adaptive Programming Concepts Test (CAPCT) with a novel application of Item Response Theory. The CAPCT is a web-based and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Programming, Knowledge Level
Bijlsma, Hannah J. E.; Glas, Cees A. W.; Visscher, Adrie J. – School Effectiveness and School Improvement, 2022
Modern digital technologies enable the efficient collection and processing of student perceptions of teaching quality. However, students' ratings could be confounded by student, teacher, and classroom characteristics. We investigated students' ratings of 26 teachers who used the digital tool Impact! in their mathematics lessons with 14- and…
Descriptors: Computer Assisted Testing, Student Attitudes, Teacher Effectiveness, Student Characteristics
Hamhuis, Eva; Glas, Cees; Meelissen, Martina – British Journal of Educational Technology, 2020
Over the last two decades, the educational use of digital devices, including digital assessments, has become a regular feature of teaching in primary education in the Netherlands. However, researchers have not reached a consensus about the so-called "mode effect," which refers to the possible impact of using computer-based tests (CBT)…
Descriptors: Handheld Devices, Elementary School Students, Grade 4, Foreign Countries
Egberink, Iris J. L.; Meijer, Rob R.; Tendeiro, Jorge N. – Educational and Psychological Measurement, 2015
A popular method to assess measurement invariance of a particular item is based on likelihood ratio tests with all other items as anchor items. The results of this method are often only reported in terms of statistical significance, and researchers proposed different methods to empirically select anchor items. It is unclear, however, how many…
Descriptors: Personality Measures, Computer Assisted Testing, Measurement, Test Items
Stevenson, Claire E. – International Journal of Artificial Intelligence in Education, 2017
This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…
Descriptors: Tutoring, Feedback (Response), Children, Short Term Memory
Finkelman, Matthew D.; Smits, Niels; Kim, Wonsuk; Riley, Barth – Applied Psychological Measurement, 2012
The Center for Epidemiologic Studies-Depression (CES-D) scale is a well-known self-report instrument that is used to measure depressive symptomatology. Respondents who take the full-length version of the CES-D are administered a total of 20 items. This article investigates the use of curtailment and stochastic curtailment (SC), two sequential…
Descriptors: Measures (Individuals), Depression (Psychology), Test Length, Computer Assisted Testing
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Veldkamp, Bernard P.; Verschoor, Angela J.; Eggen, Theo J. H. M. – Psicologica: International Journal of Methodology and Experimental Psychology, 2010
Overexposure and underexposure of items in the bank are serious problems in operational computerized adaptive testing (CAT) systems. These exposure problems might result in item compromise, or point at a waste of investments. The exposure control problem can be viewed as a test assembly problem with multiple objectives. Information in the test has…
Descriptors: Adaptive Testing, Item Analysis, Computer Assisted Testing, Test Items
Hol, A. Michiel; Vorst, Harrie C. M.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 2007
In a randomized experiment (n = 515), a computerized and a computerized adaptive test (CAT) are compared. The item pool consists of 24 polytomous motivation items. Although items are carefully selected, calibration data show that Samejima's graded response model did not fit the data optimally. A simulation study is done to assess possible…
Descriptors: Student Motivation, Simulation, Adaptive Testing, Computer Assisted Testing

van der Linden, Wim J. – Applied Psychological Measurement, 1999
Proposes a procedure for empirical initialization of the trait (theta) estimator in adaptive testing that is based on the statistical relation between theta and background variables known prior to test administration. Illustrates the procedure for an adaptive version of a test from the Dutch General Aptitude Battery. (SLD)
Descriptors: Adaptive Testing, Aptitude Tests, Bayesian Statistics, Computer Assisted Testing
Hambleton, Ronald K., Ed.; Zaal, Jac N., Ed. – 1991
The 14 chapters of this book focus on the technical advances, advances in applied settings, and emerging topics in the testing field. Part 1 discusses methodological advances, Part 2 considers developments in applied settings, and Part 3 reviews emerging topics in the field of testing. Part 1 papers include: (1) "Advances in…
Descriptors: Achievement Tests, Analysis of Covariance, Aptitude Tests, Computer Assisted Testing