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…

Teaching performance can be assessed validly only if the assessment involves an appropriate, authentic representation of real-life teaching practices. Different skills interact in coordinating teachers' actions in different classroom situations. Based on the evidence-centered design model, we developed a technology-based assessment framework that…

The objective of the present article is to explore differences and similarities between cognitive diagnostic assessment (CDA) and evidence-centered game design (ECgD) in the service of intentional hybridization. Although some testing specialists might argue that both are essentially the same given their origins in principled assessment design and…

The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…

Studies of test dimensionality indicate that many large-scale science assessments measure multiple dimensions. These findings have reinforced the perspective that science achievement is an inherently dynamic process and that there is benefit in reporting subscores in science. A limitation with some of these studies is that they fail to indicate…