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Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
Cheng, Ying – Psychometrika, 2009
Computerized adaptive testing (CAT) is a mode of testing which enables more efficient and accurate recovery of one or more latent traits. Traditionally, CAT is built upon Item Response Theory (IRT) models that assume unidimensionality. However, the problem of how to build CAT upon latent class models (LCM) has not been investigated until recently,…
Descriptors: Simulation, Adaptive Testing, Heuristics, Scientific Concepts
Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – Applied Psychological Measurement, 2008
Criteria had been proposed for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria resulted from theoretical derivations that assumed uniformly randomized item selection. This study investigated potential damage caused by organized item theft in computerized adaptive…
Descriptors: Test Items, Simulation, Item Analysis, Safety
Carmo, Mafalda, Ed. – Online Submission, 2015
We are delighted to welcome you to the International Conference on Education and New Developments 2015-END 2015, taking place in Porto, Portugal, from 27 to 29 of June. Education, in our contemporary world, is a right since we are born. Every experience has a formative effect on the constitution of the human being, in the way one thinks, feels and…
Descriptors: Foreign Countries, Educational Development, Educational Change, Educational Trends