Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…

This study explores various approaches to investigate participants' testing performance and learning behaviors in a computer-based spatial rotation learning program. Using multivariate learning and assessment data, including responses, response times, learning times and selected covariates, a comprehensive data analytic framework is developed that…

Flow is an optimal experience that has received particular attention in learning due to its potential association with enhanced learning achievement. However, the strength and direction of the putative flow-fulfillment relationship remain unclear. Therefore, a PRISMA-directed systematic review was conducted in 2022 to examine the empirical…

The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…

This is a response to a focus article by Briggs and Peck (2015) in issue 13(2). It should have been published in issue 13(3-4) alongside a rejoinder by Briggs and Peck that did appear. Due to an oversight, it was not published there and appears here. See issue 13(3-4) for a rejoinder to this response. Briggs and Peck (2015) propose what amounts to…

Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…

While assessment for learning (AfL) has been strongly promulgated by an increasing number of education systems internationally, little research is available that investigates students' responses to such AfL innovations, particularly in a Chinese learning context. There is a need to research and evaluate the AfL practices introduced and their…

Diagnostic assessments are intended to support teachers' instructional decision making by providing instructionally relevant information. In this article, we propose that using cognitive theories of learning to design diagnostic assessments can provide teachers with two diagnostic outcomes: (a) the location of a student's thinking within the…