Purpose: Listening effort is quickly becoming an important metric for assessing speech perception in less-than-ideal situations. However, the relationship between the construct of listening effort and the measures used to assess it remains unclear. We compared two measures of listening effort: a cognitive dual task and a physiological pupillometry…

It is important to define what an error in a question paper is so that there is a common understanding and to avoid people's own conceptions impacting upon the way in which they write or check question papers. We carried out an interview study to investigate our colleagues' definitions of error. We found that there is no single accepted definition…

Children's developing understanding of language may influence their ability to accurately respond to questions inquiring about their event knowledge (i.e., Why and How Come questions), potentially creating misinterpretations in adult-child communication. The present study examined 120 5-, 7-, and 9-year-old's accuracy in responding to Why and How…

As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform…

The estimation of high-dimensional latent regression item response theory (IRT) models is difficult because of the need to approximate integrals in the likelihood function. Proposed solutions in the literature include using stochastic approximations, adaptive quadrature, and Laplace approximations. We propose using a second-order Laplace…

Remembering sequences of events defines episodic memory, but retrieval can be driven by both ordinality and temporal contexts. Whether these modes of retrieval operate at the same time or not remains unclear. Theoretically, medial prefrontal cortex (mPFC) confers ordinality, while the hippocampus (HC) associates events in gradually changing…

Eye tracking is a useful tool for studying human cognition, both in the laboratory and in real-world applications. However, there are cases in which eye tracking is not possible, such as in high-security environments where recording devices cannot be introduced. After facing this challenge in our own work, we sought to test the effectiveness of…

Many recent studies have looked at the viability of applying recurrent neural networks (RNNs) to educational data. In most cases, this is done by comparing their performance to existing models in the artificial intelligence in education (AIED) and educational data mining (EDM) fields. While there is increasing evidence that, in many situations,…

Recent studies have revealed that memory performance is better when participants have the opportunity to make a choice regarding the experimental task (choice condition) than when they do not have such a choice (fixed condition). These studies, however, used intentional memory tasks, leaving open the question whether the choice effect also applies…

Representing and recording student thinking in public spaces during mathematics discussions is challenging work. In this article, the authors articulate why skillfully recording and representing during discussions matters. The authors share principles for recording student thinking in the moment and share an activity structure to use with…

Early detection is key to intervening with students diagnosed with a specific learning disorder (SLD), which includes problems with spelling, grammar, punctuation, and clarity and organization of written expression, as a means of preventing potential negative consequences from this disorder. Deep convolutional neural networks (CNNs) perform better…

Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…

Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet, several model specifications can be used, all assuming different types of spatial dependence. This study summarizes the most commonly used spatial regression models and offers a comparison of their performance by using Monte Carlo experiments. In…

Although most studies in the field of literacy development suggest that writing and reading are two sides of the same coin, very little is known about writing in kindergarten in comparison to the vast number of studies on reading. In this study, we explored the connections between writing and reading using correlation and regression analyses…

Two studies investigated the testing effects on performance and on metacognitive judgment accuracy in authentic learning settings. Across two educational psychology courses, undergraduate students had the opportunity to voluntarily participate in four different practice tests during the term--without feedback in Study 1 (N = 201 students) or with…