Simulated testing has become more prevalent in higher education, especially as competency-based institutions begin to incorporate micro-credentials and skills certificates into their curriculum. Competency-based assessment falls outside traditional norm-based testing practices used in K-12 education, and is largely focused on criterion referenced…

Sequencing items in adaptive learning systems typically relies on a large pool of interactive question items that are analyzed into a hierarchy of skills, also known as Knowledge Components (KCs). Educational data mining techniques can be used to analyze students response data in order to optimize the mapping of items to KCs, with similarity-based…

Although non-cognitive facets--such as interest, attitudes, commitment, self-concept and so on--of are prevalent in contemporary theoretical modeling of competence, they are often neglected in measurement approaches or measured only by global self-report questionnaires. Based on the well-established experience sampling method (ESM) and following…

This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…

In the context of education and training, competency measurement (CM) is a central challenge in competency management. For complex CMs, a compromise must be addressed between the time available and the number of dimensions to be measured or the quality of the measurements. Increasing the efficiency of existing tests for CMs therefore poses a key…

The purposes of this study are twofold. First, to investigate the construct or factorial structure of a set of Reading and Mathematics computerized adaptive tests (CAT), "Measures of Academic Progress" (MAP), given in different states at different grades and academic terms. The second purpose is to investigate the invariance of test…

Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…

Since fall 1976, an undergraduate measurement class has utilized a 32K microcomputer programmed in APL to present replicate sets of questions randomly selected from 80-question item pools representing each of three domains of knowledge based on Sax's Principles of Educational Measurement and Evaluation. Multiple choice questions are presented on a…