Although some types of inferences are mandatory for readers, predictive inferences (inferences for what will happen next) are generally considered elaborative or optional. Three experiments measuring probe word lexical decision latencies produced evidence for the online generation of predictive inferences during narrative text comprehension.…

Recent structural and functional imaging work, as well as neuropathology and neuropsychology studies, provide strong empirical support for the involvement of frontal cortex in autism. The Cambridge Neuropsychological Test Automated Battery (CANTAB) is a computer-administered set of neuropsychological tests developed to examine specific components…

Item-exposure control in computerized adaptive testing is implemented by imposing item-ineligibility constraints on the assembly process of the shadow tests. The method resembles Sympson and Hetter's (1985) method of item-exposure control in that the decisions to impose the constraints are probabilistic. The method does not, however, require…

It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all the new and currently considered computer-based tests. In addition to developing new models, we also need to give attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized adaptive…

The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…

This report summarizes the twelfth survey of states by the National Center on Educational Outcomes (NCEO) at the University of Minnesota. Results are presented for all 50 states and 8 of the 11 unique states. The purpose of this report is to provide a snapshot of the new initiatives, trends, accomplishments, and emerging issues during this…

Readers will find several papers that address high-level issues in the use of technology in education, for example architecture and design frameworks for building online education materials or tools. Several other chapters report novel approaches to intelligent tutors or adaptive systems in educational settings. A number of chapters consider many…

Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…

Online assessments afford many advantages for teachers and students. Okolo (2006) stated, "As the power, sophistication, and availability of technology have increased in the classroom, online assessments have become a viable tool for providing the type of frequent and dynamic assessment information that educators need to guide instructional…

The process of teacher identification, selection, initial training, and on-going professional development that has developed at the Illinois Virtual High School (IVHS) over the past seven years is described and discussed in this article. Validation was based upon existing practices and research. To provide background the creation and initial…

This study explored e-learning problems and solutions reported by 223 students with disabilities, 58 campus disability service providers, 28 professors, and 33 e-learning professionals from Canadian colleges and universities. All four groups indicated, via online questionnaires, problems with: accessibility of websites and course/learning…

Adaptive tests offer the advantages of reduced test length and increased accuracy in ability estimation. However, adaptive tests require large pools of precalibrated items. This study looks at the development of an item pool for 1 type of adaptive administration: the computer-adaptive sequential test. An important issue is the sample size required…

Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model…

The effects of five ability estimators, that is, maximum likelihood estimator, weighted likelihood estimator, maximum a posteriori, expected a posteriori, and Owen's sequential estimator, on the performances of the item response theory-based adaptive classification procedure on multiple categories were studied via simulations. The following…

This study examined whether children's reading rate, comprehension, and recall are affected by computer presentation of text. Participants were 60 grade five students, who each read two expository texts, one in a traditional print format and the other from a computer monitor, which used a common scrolling text interface. After reading each text,…