A well-informed populace is vitally important for the proper functioning of democracy. Media news articles constitute an essential means by which the public comes into contact with scientific issues. However, not all of the scientific information presented in news articles is trustworthy or accurate. Naturally, the situation becomes more…

Psychology instructors have reported that it is common for students to not know how to cite sources correctly. Therefore, the authors created a classroom game to help students learn to cite sources in different scenarios. The game involved students submitting names of celebrities and fictitious dates of publication and then using those submissions…

Characteristics of vocabulary lists as well as study and test translation direction may affect the ease of learning second language (L2) vocabulary. We examined immediate and delayed test performance of first language (L1) English speakers learning a fixed set of L2 vocabulary placed on lists formed by crossing semantic relatedness (unrelated vs.…

This study set out to examine the basic reading skills (accuracy and fluency in decoding, word and text reading) and some of the reading-related language skills (phonological awareness and rapid-naming) of 54 adults with low reading comprehension, who read the transparent German orthography. Participants were born in Germany and showed a typical…

The aim of this study was to examine classification accuracy for the expressive language skills of children with autism spectrum disorder (ASD) in terms of object play and imitation scores. A total of 61 children with ASD, who were 2.0-5.11 years old, were included in the study. In order to collect data play and imitation assessment tasks which…

It hasn't been clear how holistic and analytic processing contribute to character recognition yet. The current study focused on two issues: (1) whether configural processing is sufficient to support the performance of identifying characters in absence of analytic processing; (2) whether configural processing involves multiple levels of character…

Post-error cognitive control processes are evident in post-error slowing (PES) and post-error increased accuracy (PIA). A recent theory (Wessel, 2018) proposes that post-error control disrupts not only ongoing motor activity but also current task-set representations, suggesting an interdependence of post-error control and memory. In 2 experiments,…

We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutoring through a community-based organization…

Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, which has gained momentum in the recent years. Applications of solving varieties of MWPs can increase the efficacy of teaching-learning systems, such as…

We examine the accuracy of p values obtained using the asymptotic mean and variance (MV) correction to the distribution of the sample standardized root mean squared residual (SRMR) proposed by Maydeu-Olivares to assess the exact fit of SEM models. In a simulation study, we found that under normality, the MV-corrected SRMR statistic provides…

Past work investigating spatial cognition suggests better mental rotation abilities for those who are fluent in a signed language. However, no prior work has assessed whether fluency is needed to achieve this performance benefit or what it may look like on the neurobiological level. We conducted an electroencephalography experiment and assessed…

The current study explores the ability to predict argumentative claims in structurally-annotated student essays to gain insights into the role of argumentation structure in the quality of persuasive writing. Our annotation scheme specified six types of argumentative components based on the well-established Toulmin's model of argumentation. We…

Knowledge tracing (KT), the task of tracking the knowledge state of each student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines Item Response Theory (IRT) with a deep learning model, provides superior performance. It can express the abilities of each student…

Existing approaches to measuring writing performance are insufficient in terms of both technical adequacy as well as feasibility for use as a screening measure. This study examined the validity and diagnostic accuracy of several approaches to automated text evaluation as well as written expression curriculum-based measurement (WE-CBM) to determine…

We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1-12 who received 1:1 academic tutoring through a community-based organization completed…