This study examines teachers’ use of evidence-based language learn­ing techniques in the classroom and possible impact on student ­engagement. Video recordings of nine primary school teachers conducting interactive book reading with their students were analyzed both according to the Communication Supporting Classroom Obser­vation Tool-Language Learning Interactions (CSCOT-LLI) and descriptively. QThis study examines teachers’ use of evidence-based language learn­ing techniques in the classroom and possible impact on student ­engagement. Video recordings of nine primary school teachers conducting interactive book reading with their students were analyzed both according to the Communication Supporting Classroom Obser­vation Tool-Language Learning Interactions (CSCOT-LLI) and descriptively. Q

This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This article explains the different Lang-Track-App components

The small body of research on writing and writing processes in the group of deaf and hard of hearing (DHH) children has shown that this group struggles more with writing than their hearing peers. This article aims to explore in what ways the DHH group differs from their peers regarding the written product and the writing processes. Participants are all in the age span 10–12 years old and include:

Robots and autonomous systems are being developed at an ever-increasing rate. Autonomous systems are already prolific in many households around the world, and their adoption is only expected to increase over the coming decades. Even so, many of the systems that are deployed today are still prone to small operational errors such as struggling to navigate complex environments. While the argument ove

Introduction: Bedwetting, also known as enuresis, is the second most common chronic health problem among children and it affects their everyday life negatively. A first-line treatment option is the enuresis alarm. This method entails the child being awoken by a detector and alarm unit upon urination at night, thereby changing their arousal mechanisms and potentially curing them after 6–8 weeks of

Artificial empathy (AE) is a hotly contested topic. Recently, several empathy researchers have voiced criticism on the prospect of AE, arguing that it is impossible, unethical, or both. Contrary to these sentiments, we believe that further nuance and research are needed to better understand AE, its risks, and what it can potentially contribute to human well-being. We will focus on one obstacle to

A new study combining high-speed video recordings and computational modeling has revealed an overlooked feature of the famous honeybee waggle dance, yielding the first biologically plausible neural circuit model of how the information transmitted via the waggle dance could be assimilated by the follower bees.

The central complex (CX) is a highly conserved region of the insect brain, and its ubiquitous occurrence suggests that its neural circuits are of fundamental importance. While its overall layout has not changed since the evolution of insect flight, substantial variations exist in the internal organization of all CX components. By changing the details of a system of repeating columns and layers, th

Background: There is a growing awareness of constipation being a side effect of anti-calcitonin gene-related peptide (anti-CGRP) monoclonal antibodies (mAbs). This study aims to assess constipation as a side effect and explore its potential role as a predictor of treatment response in chronic migraine (CM) patients treated with anti-CGRP mAbs. Methods: We conducted a retrospective analysis of pati

Trust in Human-Robot Interaction is a widely studied subject, and yet, few studies have examined the ability to speak and how it impacts trust towards a robot. Errors can have a negative impact on perceived trustworthiness of a robot. However, there seem to be mitigating effects, such as using a humanoid robot, which has been shown to be perceived as more trustworthy when having a high error-rate

Background: White noise stimulation has demonstrated efficacy in enhancing working memory in children with ADHD. However, its impact on other executive functions commonly affected by ADHD, such as inhibitory control, remains largely unexplored. This research aims to explore the effects of two types of white noise stimulation on oculomotor inhibitory control in children with ADHD. Method: Memory gu

The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv

Background: To support a victim of violence and establish the correct penalty for the perpetrator, it is crucial to correctly evaluate and communicate the severity of the violence. Recent data have shown these communications to be biased. However, computational language models provide opportunities for automated evaluation of the severity to mitigate the biases. Objective: We investigated whether

The recent “Conscious Turing Machine” (CTM) proposal offered by Manuel and Lenore Blum aims to define and explore consciousness, contribute to the solution of the hard problem, and demonstrate the value of theoretical computer science with respect to the study of consciousness. Surprisingly, given the ambitiousness and novelty of the proposal (and the prominence of its creators), CTM has received

Digitally animated characters are promising tools in research studying how we integrate information from speech and visual sources such as gestures because they allow specific gesture features to be manipulated in isolation. We present an approach combining motion capture and 3D-animated characters that allows us to manipulate natural individual gesture strokes for experimental purposes, for examp

We propose that a recently discovered event-related potential (ERP) component—the pre-activation negativity (PrAN)—indexes the predictive strength of phonological cues, including segments, word tones, and sentence-level tones. Specifically, we argue that PrAN is a reflection of the brain’s anticipation of upcoming speech (segments, morphemes, words, and syntactic structures). Findings from a long

The brain systems of episodic memory and oculomotor control are tightly linked, suggesting a crucial role of eye movements in memory. But little is known about the neural mechanisms of memory formation across eye movements in unrestricted viewing behavior. Here, we leverage simultaneous eye tracking and EEG recording to examine episodic memory formation in free viewing. Participants memorized mult

BACKGROUND: Current models of levodopa (L-dopa)-induced dyskinesia (LID) are obtained by treating dopamine-depleted animals with L-dopa. However, patients with LID receive combination therapies that often include dopamine agonists.OBJECTIVE: Using 6-hydroxydopamine-lesioned rats as a model, we aimed to establish whether an adjunct treatment with the D2/3 agonist ropinirole impacts on patterns of L