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Parents play a vital role in supporting children with learning disabilities, but little is known about their understanding of this diagnosis. The experiences of parents with the diagnostic process and the services their children receive post-diagnosis vary widely. Parents who participated in this study reported that they understand learning disabilities broadly but not their underlying neurobiology. Those who noted understanding the neurobiology indicated that it helped them better support their child, and those who did not understand it wanted to learn more. Parents generally noted that their children received less support during COVID-19 and that they had to seek more private services in order to support their child's academic progress, which caused additional strain on families. Finally, parents reported that having a child with a learning disability negatively affected their mental health, especially when parents feel like they have had to advocate strongly for their child to receive services.

Here we build from the central strength of the existing definition of dyslexia--its emphasis on neurobiological origins--and proffer a set of seven core principles for a new, more comprehensive conceptualization of dyslexia. These principles derive from two major research directions: (1) the still evolving history of attempts to explain dyslexia, including in varied writing systems; and (2) the study of the reading brain circuit, its development, and its genetic and environmental influences. What emerges from connecting these two directions is a dynamic conceptualization of dyslexia that incorporates the extensive research on the heterogeneity of dyslexia and the interdependent contributions of multiple biological and socio-cultural risk and preventive factors. A new definition of dyslexia, therefore, needs to transcend both past unitary characterizations and past assumptions based largely on the English orthography. Such a conceptualization references the ways that different languages interact with the reading brain circuit to produce different sources of reading failure. Similarly, the characteristics and consequences of dyslexia that have been considered as secondary sequela (e.g., reduced reading comprehension, social-emotional issues) should be part of a more comprehensive narrative. Of critical importance, any definition of dyslexia should clarify persisting misconceptions that associate dyslexia with a lack of intelligence, potential to learn, or talents. Thus, the overall purpose of such a definition should serve as an instrument of knowledge and an enduring reason for pursuing growth in reading for the individual, the educator, and the public.

Teaching physiology can be challenging as students are initially required to understand basic and abstract concepts. Thus students typically view physiology as a "difficult" subject and place an emphasis on rote learning and memorization. Here, we attempted to address this knowledge gap by introducing a pedagogical intervention into the neurophysiology lesson plan of first-year medical and health physiology students at the University of La Reunion. This intervention aimed to better link abstract concepts (e.g., saltatory conduction) and a pathological disorder (multiple sclerosis), together with a discussion of a specific therapeutic intervention (fampridine). Students were required to complete readings (focused on neurophysiology aspects) and two online quizzes before two scheduled in-person lectures. They could also pose questions on a dedicated online forum. Thereafter, the in-person lectures discussed questions posted on the online forum, provided feedback on poorly answered questions (from the online quizzes), and dealt with questions posed by students attending classes. Student feedback regarding the pedagogic intervention was assessed by an anonymous online survey. This survey revealed that the pedagogical intervention was positively received. For example, 94% of respondents agreed the course was well developed, while 80% indicated that the pedagogical intervention was beneficial in terms of their understanding of basic and abstract neurophysiology concepts. Together, this pedagogical intervention was enthusiastically received by the students who better understood how basic nerve physiology concepts fit into the broader context and that such an understanding can result in the development and the roll-out of unique therapeutic interventions for multiple sclerosis.

In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often struggle to capture the temporal dynamics inherent in student data, such as learning trajectories, study habits, and evolving performance patterns. In response, this research leverages Recurrent Neural Network (RNNs) and Long Short Term Memory (LSTM) network (LSTMs), which are specifically designed to model sequences and long-term dependencies from OULAD and self-generated Emotional dataset. By incorporating these architectures, the proposed methodology excels in capturing the intricate relationships between various factors over time. Further, various ML models such as Random Forest (RF), Support Vector Machine (SVM), Naive Bayes (NB) and Decision Tree (DT) are integrated with RNN + LSTM to enhance the predictive power of model. The proposed system with RNN + LSTM + RF techniques gained approximately 97% accuracy that is comparatively higher than RNN + LSTM + SVM, RNN + LSTM + NB and RNN + LSTM + DT i.e., 90.67%, 86.45% & 84.42% respectively.

Background: Neurodiversity is increasingly discussed in relation to autism research and practice. However, there is a lack of scholarship concerning the neurodevelopmental condition of Developmental Language Disorder (DLD) and the neurodiversity movement. While this movement may hold opportunities for the DLD community, the application of the concept of neurodiversity to DLD research and practice needs consideration, as DLD and autism have very different levels of public and professional awareness and understanding. Aims: In this article, we discuss what the concept of neurodiversity and the associated neurodiversity movement could mean for DLD research and practice. We aim to critique some assumptions that may arise from the application of neurodiversity principles (or assumed principles) to the field of DLD. Methods: This is a discussion paper, drawing on the personal experiences and reflections of the author team. Main Contributions: We make the case for why DLD should be included in discussions about neurodivergence and outline considerations for doing so, and why some issues and applications may be particular to DLD. We outline points of similarity and contrast with autism in relation to our understanding of neurodiversity. We consider the issues around diagnosis and terminology and urge practitioners to continue to diagnose DLD using currently agreed terminology, so as not to undermine recent awareness efforts. We note that a neurodiversity-informed perspective challenges us to offer interventions that operate at the level of our environments, not just at the level of an individual. Indeed, neurodiversity offers a platform to argue for better rights and more inclusive spaces in mental health settings, education and work for children and adults with DLD. Conclusions: DLD should be considered from a neurodiversity-informed perspective, and it is our hope that this will lead to neurodiversity-affirming practice that will afford young people with DLD better understanding from members of the public and the professionals who work with them. Further work is needed to better support children, young people and adults with DLD to have a voice in the neurodiversity movement.

Purpose: We explore a new approach to the study of cognitive effort involved in listening to speech by measuring the brain activity in a listener in relation to the brain activity in a speaker. We hypothesize that the strength of this brain-to-brain synchrony (coupling) reflects the magnitude of cognitive effort involved in verbal communication and includes both listening effort and speaking effort. We investigate whether interbrain synchrony is greater in native-to-native versus native-to-nonnative communication using functional near-infrared spectroscopy (fNIRS). Method: Two speakers participated, a native speaker of American English and a native speaker of Korean who spoke English as a second language. Each speaker was fitted with the fNIRS cap and told short stories. The native English speaker provided the English narratives, and the Korean speaker provided both the nonnative (accented) English and Korean narratives. In separate sessions, fNIRS data were obtained from seven English monolingual participants ages 20-24 years who listened to each speaker's stories. After listening to each story in native and nonnative English, they retold the content, and their transcripts and audio recordings were analyzed for comprehension and discourse fluency, measured in the number of hesitations and articulation rate. No story retellings were obtained for narratives in Korean (an incomprehensible language for English listeners). Utilizing fNIRS technique termed sequential scanning, we quantified the brain-to-brain synchronization in each speaker-listener dyad. Results: For native-to-native dyads, multiple brain regions associated with various linguistic and executive functions were activated. There was a weaker coupling for native-to-nonnative dyads, and only the brain regions associated with higher order cognitive processes and functions were synchronized. All listeners understood the content of all stories, but they hesitated significantly more when retelling stories told in accented English. The nonnative speaker hesitated significantly more often than the native speaker and had a significantly slower articulation rate. There was no brain-to-brain coupling during listening to Korean, indicating a break in communication when listeners failed to comprehend the speaker. Conclusions: We found that effortful speech processing decreased interbrain synchrony and delayed comprehension processes. The obtained brain-based and behavioral patterns are consistent with our proposal that cognitive effort in verbal communication pertains to both the listener and the speaker and that brain-to-brain synchrony can be an indicator of differences in their cumulative communicative effort.

Objective: To examine the theoretical and empirical contribution of Joe Biederman and his colleagues to the understanding of executive function (EF) and ADHD. Method: We searched PubMed for references to EF in Biederman's publications and conducted a narrative review of this literature. Results: In 50 or more papers using neuropsychological tests, rating scales and measures of mind wandering, Biederman demonstrated that EF are evident in ADHD and closely linked to its underlying neurobiological and genetic risk. He argued that EF need to be monitoring to ensure comprehensive assessment and treatment, but could not be used as a diagnostic proxy. Conclusion: Biederman built an innovative and impressive collaboration to address the issue of EF in ADHD. His work shows a commitment to understanding of EF in order to improve patient care. Biederman laid down a roadmap for research in ADHD and EF for the rest of the field to follow.

Objective: Stimulant medications are the main treatment for Attention Deficit Hyperactivity Disorder (ADHD), but overall treatment efficacy in adults has less than a 60% response rate. This study aimed to identify neural and cognitive markers predictive of longitudinal improvement in response to stimulant treatment in drug-naïve adults with ADHD. Method: We used diffusion tensor imaging (DTI) and executive function measures with 36 drug-naïve adult ADHD patients in a prospective study design. Results: Structural connectivity (measured by fractional anisotropy, FA) in striatal regions correlated with ADHD clinical symptom improvement following stimulant treatment (amphetamine or methylphenidate) in better medication responders. A significant positive correlation was also found between working memory performance and stimulant-related symptom improvement. Higher pre-treatment working memory scores correlated with greater response. Conclusion: These findings provide evidence of pre-treatment neural and behavioral markers predictive of longitudinal treatment response to stimulant medications in adults with ADHD. (J. of Att. Dis. 2024; 28(5) 936-944)

Objective: We examined the association between the number, magnitude, and frequency of febrile episodes during the 0 to 4 years of life and subsequent diagnosis of ADHD. Methods: This population-based case-control study in an Israeli HMO, Leumit Health Services (LHS), uses a database for all LHS members aged 5 to 18 years between 1/1/2002 and 1/30/2022. The number and magnitude of measured fever episodes during the 0 to 4 years were recorded in individuals with ADHD (N = 18,558) and individually matched non-ADHD controls in a 1:2 ratio (N = 37,116). Results: A significant, independent association was found between the number and magnitude of febrile episodes during the 0 to 4 years and the probability of a later diagnosis of ADHD. Children who never had a measured temperature >37.5°C had a significantly lower rate of ADHD (OR = 0.834, 95% CI [0.802, 0.866], p < 0.0001). Conclusions: Febrile episodes during 0 to 4 years are associated with a significantly increased rate of a later diagnosis of ADHD in a dose-response relationship.

Introduction: Executive function (EF) deficits are common in youth with ADHD and pose significant functional impairments. The extent and effect of interventions addressing EF in youth with ADHD remain unclear. Methods: We conducted a systematic literature review using PRISMA guidelines. Included studies were randomized controlled trials of interventions to treat EF in youth with ADHD. Results: Our search returned 136 studies representing 11,443 study participants. We identified six intervention categories: nonstimulant pharmacological (N = 3,576 participants), neurological (N = 1,935), psychological (N = 2,387), digital (N = 2,416), physiological (N = 680), and combination (N = 366). The bulk of the evidence supported pharmacological interventions as most effective in mitigating EF, followed by psychological and digital interventions. Conclusion: A breadth of treatments exists for EF in youth with ADHD. Pharmacological, psychotherapeutic, and digital interventions had the most favorable, replicable outcomes. A lack of outcome standardization across studies limited treatment comparison. More data on the persistence of intervention effects are necessary.

The current study investigates the effects of instruction with the storytelling approach on sixth-graders' values, attitudes and motivation in relation to the study of the human nervous system. The instruction consisted of a series of lessons on the human nervous system in which nine stories were included. The study employed a one-group pre-test and post-test design. Twenty-four pupils, all of whom were girls, participated in the study. The Dilemma Cases Form (Inventory), an attitude scale towards science, and a motivation scale for science were administered before and after the intervention. Pre and post-tests were compared using the non-parametric Wilcoxson's Rank Sum Tests. The results indicated that sixth-graders who were exposed to story-telling as part of the instruction improved their scores on the values and attitudes toward science scales but not those for motivation. Based on the results, it is argued that the story-telling approach in the unit on the human nervous system could be a good source of enrichment for sixth graders in science education.

Bully victimization is known to cause adverse psychological outcomes; however, resilience may mitigate the more adverse effects. Little is known regarding the role played by BDNF Val66Met polymorphism in youth resilience against psychological harm caused by bully victimization. In this cross-sectional study, a community sample of 598 participants (M[subscript age] = 20.1 ± 1.4 years, 48.8% males) completed the questionnaire on bully victimization, resilience, and psychological symptoms. Salivary genomic DNA was genotyped for the BDNF Val66Met polymorphism. A path analysis was used to test the mediating role of resilience in the association between bully victimization and psychological symptoms. Furthermore, the BDNF genotype was added to the model to explore its moderating effects on the mediating role of resilience in the path with 5000 bootstrapped samplings using SPSS PROCESS Macro. Results revealed a significant indirect effect via resilience that accounted for 17.2% of the association between bully victimization and psychological symptoms. While the Val66Met polymorphism interacted with bully victimization to predict resilience scores, bully victimization was more strongly associated with poor resilience (F = 4.59, p = 0.03) in subjects with the Met/Met genotype ([beta] = -3.22, p < 0.001), as compared to participants with other genotypes ([beta] = -1.33, p = 0.051). Findings suggest a gene-environment interaction effect on psychological resilience in bully-victimized youth.

The 3D stereoscopic technique consists in providing the illusional perception of depth of a given object using two different images mimicking how the right and left eyes capture the object. Both images are slightly different and when overlapped gives a three-dimensional (3D) experience. Considering the limitations for establishing surgical laboratories and dissections courses in some educational institutions, techniques such as stereoscopy and photogrammetry seem to play an important role in neuroanatomy and neurosurgical education. The aim of this study was to describe how to combine and set up realistic models acquired with photogrammetry scans in 3D stereoscopic projections. Three donors, one dry skull, embalmed brain and head, were scanned using photogrammetry. The software used for displaying the final realistic 3D models (Blender, Amsterdam, the Netherlands) is a free software and allows stereoscopic projection without compromising the interactivity of each model. By default, the model was exported and immediately displayed as a red cyan 3D mode. The 3D projector used in the manuscript required a side-by-side 3D mode which was set up with simple commands on the software. The final stereoscopy projection offered depth perception and a visualization in 360° of each donor; this perception was noted especially when visualizing donors with different cavities and fossae. The combination of 3D techniques is of paramount importance for neuroanatomy education. Stereoscopic projections could provide a valuable tool for neuroanatomy instruction directed at clinical trainees and could be especially useful when access to laboratory-based learning is limited.

Since the retina shares its embryological origin with the central nervous system, optical coherence tomography (OCT), an imaging technique frequently employed in ophthalmology to analyze the macula and intraretinal layer thicknesses and volumes, has recently become increasingly important in psychiatric research. We examined 34 autistic and 31 neurotypical adults (NT) using OCT. Autistic adults had reduced overall macular and outer nuclear layer (ONL) thickness and volume compared to NT. Both macular and ONL thickness showed significant inverse associations with the severity of autistic symptoms measured with the Social Responsiveness Scale 2 (SRS-2). Longitudinal studies across different age groups are required to clarify whether retinal changes may represent a possible trait marker.

In this paper, I draw from an in-school music research-creation project to consider the complex, racist-ableist politics of failure in the early childhood classroom. I theorise failure as it unfolds through anxiety, which I conceptualise as an affect of failure, to discuss both the perverse possibilities and perilous precarities of (neuro)queer failure. I examine two samples from an in-school research-creation project, which fail in generative yet risky ways: (1) a vocal improvisation by "Kwodwo," whereupon I consider failure as mobilised through the racist-ableist politics of neurotypicality, disproportionality in special education, and refusal; and (2) research-creation's transdisciplinary courting of failure through my "critical use" of electrodermal activity. Drawing from these two samples, I suggest that, in considering this special issue's call for "bad research," educational researchers must not only attend to those failures that sit within the successful confines of what is defensible in the academy (i.e. failure without failing), but also to the intersecting ethico-political complexity of failure.

Online anatomical resources are rising in popularity since the COVID-19 pandemic, but the pedagogical principles and effectiveness of their use remain unclear. This article aims to demonstrate evidence-informed ways in which fellow educators can create engaging online learning resources in clinical neuroanatomy and compare the effectiveness of text-based and online learning resources. Data were analyzed from the Soton Brain Hub (SBH) YouTube page. Separately, a cross-sectional study comparing the learning gain of using text-based and video resources was done. The knowledge gain and retention were compared between groups using a pre-teaching and post-teaching multiple choice questions. YouTube analytics showed the average time a viewer spends on a video was found to be highly correlated to the length of the video, r = 0.77, p < 0.001 (0.69-0.82). The cross-sectional study indicated a significant difference in mean normalized learning gain of video resources 61.9% (n = 53, CI 56.0-67.7%) versus text resources 49.6% (n = 23, CI 39.1-60.1%) (p = 0.030). However, there was no difference in retained learning gain between video resources 39.1% (n = 29, CI 29.2-49.0%) versus text-based 40.0% (n = 13, CI 23.9-56.1%) (p = 0.919). Students engage most with short videos less than 5 min which reduces the intrinsic load of learning. Online resources are as effective as text-based resources in providing learning gain and retention. In the future, the continued rise in popularity of online learning resources may result in further reduction in traditional face-to-face teaching.

When we memorize multiple words simultaneously, semantic relatedness among those words assists memory. For example, the information about "apple", "banana," and "orange" will be connected via a common concept of "fruits" and become easy to retain and recall. Neural mechanisms underlying this semantic integration in verbal working memory remain unclear. Here I used electroencephalography (EEG) and investigated neural signals when healthy human participants memorized five nouns semantically related (Sem trial) or not (NonSem trial). The regularity of oscillatory signals (8-30 Hz) during the retention period was found to be lower in NonSem than Sem trials, indicating that memorizing words unrelated to each other induced a non-harmonic (irregular) waveform in the temporal cortex. These results suggest that (i) semantic features of a word are retained as a set of neural oscillations at specific frequencies and (ii) memorizing words sharing a common semantic feature produces harmonic brain responses through a resonance or integration (sharing) of the oscillatory signals.

Anatomy studies are an essential part of medical training. The study of neuroanatomy in particular presents students with a unique challenge of three-dimensional spatial understanding. Virtual Reality (VR) has been suggested to address this challenge, yet the majority of previous reports have implemented computer-generated or imaging-based models rather than models of real brain specimens. Using photogrammetry of real human bodies and advanced editing software, we developed 3D models of a real human brain at different stages of dissection. Models were placed in a custom-built virtual laboratory, where students can walk around freely, explore, and manipulate (i.e., lift the models, rotate them for different viewpoints, etc.). Sixty participants were randomly assigned to one of three learning groups: VR, 3D printed models or read-only, and given 1 h to study the white matter tracts of the cerebrum, followed by theoretical and practical exams and a learning experience questionnaire. We show that following self-guided learning in virtual reality, students demonstrate a gain in spatial understanding and an increased satisfaction with the learning experience, compared with traditional learning approaches. We conclude that the models and virtual lab described in this work may enhance learning experience and improve learning outcomes.

Anatomical dissections and prosected cadaveric specimens are currently believed to be the most beneficial delivery method for tertiary anatomy education. However, there is increasing demand within the tertiary medical education community for alternative delivery methods to complement current teaching practices, particularly in the complex field of neuroanatomy. To ensure that students learning of neuroanatomy is effective, it is necessary to take an evidenced-based approach. Therefore, this review will compare and contrast the different factors involved in learning neuroanatomy and the different modalities that can be used to teach this complex topic. Further, this review will also highlight the differences between individual and mixed-model delivery systems, which may influence the current pedagogies surrounding tertiary neuroanatomy in the dynamic educational setting.

This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course are inputted" and the student model in KD with "an RNN model with a short-term time-series in which only the features during the early stages are inputted." As a result, the RNN model in the early stage was trained to output the same results as the more accurate RNN model in the later stages. The experiment compared RNN-FitNets with a normal RNN model on a dataset of 296 university students in total. The results showed that RNN-FitNets can improve early prediction. Moreover, the SHAP value was employed to explain the contribution of the input features to the prediction results by RNN-FitNets. It was shown that RNN-FitNets can consider the future effects of the input features from the early stages of the course.

Among the various systems taught in the preclinical phases, the nervous system is more challenging to learn than other systems. In this report, a novel teaching methodology, "real-life scenario (RLS) blended teaching," is described and its effectiveness in facilitating inquisitive learning in undergraduate medical students is evaluated. This mixed-method study was conducted among three groups ("group 1," n = 83; "group 2," n = 85; and "group 3;" n = 79) of undergraduate medical students (18--20 yr) in the neurology and behavioral sciences module. RLS was presented to students in the form of demonstrations, role-plays, videos, and group activities. "Group 1" students underwent traditional teaching-learning sessions. "Group 2" students underwent RLS blended sessions and were provided with multiple miniassignments in a vignette format. "Group 3" students received RLS blended sessions, multiple miniassignments, peer discussions, multiple formative assessments, and facilitator feedback sessions. The student performances on different exams were compared in terms of their group, and their perceptions of RLS were documented. Students exposed to RLS sessions blended with multiple assignments, peer discussions, multiple formative assignments, and facilitator feedback sessions performed well in the final summative assessments (67.87%) compared with those exposed to RLS sessions and assignments (50.21%) or exposed to traditional teaching alone (50.34%). RLS sessions increased students' curiosity and motivated them to learn the subject well. RLS sessions stimulated student interest and facilitated their learning. RLS along with effective use of multiple assignments, formative assessments, and/or feedback sessions significantly improved student learning. This demonstrates the effectiveness of this active method in teaching various subjects with appropriate modifications.

Previously, we described a course-based undergraduate research experience (CURE) for first-year students that featured a unique approach to brain mapping in a model organism (rat). In response to the COVID-19 pandemic, we adapted this course for an online learning environment, emphasizing image analysis (identifying immunoreactive signal in an immunohistochemical stain, making neuroanatomical distinctions in a cytoarchitectural stain) and translation of image data to the brain atlas. Using a quasiexperimental mixed methods approach, we evaluated aspects of student engagement and perceived gains in student confidence with respect to the nature and process of science and student science identity development. Additionally, we examined the dynamics of mentorship and student connectedness experienced in the online-only context. We found that the majority of students reported positive affective outcomes for the course in domains such as project ownership and project engagement in addition to positive responses toward perceived mentorship received during the course. Unsurprisingly, students expressed frustration in not being able to freely communicate with members of the course in an organic face-to-face environment. Furthermore, we found that students encountered greater difficulty in mastering image software skills causing a delay in producing consistent-quality data maps. From our analysis of the course, we have identified both useful approaches and areas for course improvement in any future iterations of the online research course. New & Noteworthy: Herein, we describe the process of converting a novel, face-to-face neuroanatomy course-based undergraduate research experience (CURE) to an online-only research setting. We document student affective and skill gains resultant from participating in this course and examine best practices for structuring online CUREs to maximize student learning and success.

Methods based on simulation pedagogy are widely used to practice hands-on skills in safety environment. The usability of an EEG simulator on clinical neurophysiology course was evaluated. Second-year biomedical laboratory science students (N = 35) on this course were included in the study. They were divided into three groups. Two groups used the EEG simulator with different feedback modes and one group did not use the simulator. Results were expected to reveal a correlation between user experience and learning outcomes. This study made used of a mixed method study design. During the study, students were asked to keep a learning diary throughout the course on their experience. Diaries were analyzed qualitatively based on content analyses. Quantitative analyses based on an UX questionnaire that measures classical usability aspects (efficiency, perspicuity, dependability) and user experience aspects (novelty, stimulation) and the students' feelings to use simulator. The quantitative data was analyzed using SPSSTM software. The quantitative and qualitative analyses showed that the use of the EEG simulator, which was evaluating teaching-learning process, has an extra benefit in clinical neurophysiology education and students felt that the simulator was useful in learning. The simulation debriefing session should be followed by a full theoretical and practical session. Students compared their learning from the simulator with that of the actual placement which fosters the reflective practice of learning, again deepening the understanding of the EEG electrode placement and different wave patterns.

Many directors of learning and writing centers minimize their ability to remain current with the field, conduct research, and delineate their job duties due to pressing daily demands. Scholars urge them to do so in light of the needs of students, new directors, and university restructuring. This article presents the four-step renewal process of coaching expert Richard Boyatzis whose Intentional Change Theory combines neuroscience, psychology, and management literature. Directors assess their work lives, recognize defense mechanisms, articulate original dreams for their work, and set a learning agenda. The value of Boyatzis' work is in the respect it affords the individual, allowing each director to set unique goals.

Terminology represents a significant factor in healthcare communication between specialists and patients. The present paper deals with the lexicosemantic characteristics of multi-word lexical units "multiple sclerosis," "amyotrophic lateral sclerosis," "Parkinson's disease," "Alzheimer's disease," "epidural abscess," "Huntington's chorea," and "carpal tunnel syndrome." The research questions focus on collocations, word combinations, and concordances in which they regularly appear; the first lemma to the left and the first lemma to the right from the studied lexeme demonstrate the principal positions of our interest. Simultaneously, the researcher considers their semantic restrictions, semantic prosody, and grammatical relations that influence their lexical features. The whole linguistic material is investigated in the framework of the text corpus English Web 2015 (enTenTen15) with the help of the search tool Sketch Engine. To begin the research, the frequencies of these lexical units are elaborated. The researcher also looks into the morphological classification of the studied words as these two factors affect them from the lexicological perspective. The research outcomes confirm that the nervous disease names appear in a wide range of structures, and they considerably contribute to successful communication in the medical surroundings. Moreover, the results indicate that the lexicosemantic behaviour of the terms reflects extralinguistic factors (psychological, social) of individual communication acts. The phenomenon is to be further examined and interpreted within the corpus analyses of other chosen lexical units, not only from the field of medicine. Eventually, the researcher outlines possible pedagogical implications of the research results in the process of teaching English.

Purpose: We present two patients who developed neurogenic stuttering after long COVID-19 related to SARS-CoV-2 infection. Methods and Results: Both patients experienced both physical (e.g., fatigue) and cognitive difficulties, which led to impaired function of attention, lexical retrieval, and memory consolidation. Both patients had new-onset stuttering-like speech dysfluencies: Blocks and repetitions were especially evident at the initial part of words and sentences, sometimes accompanied by effortful and associated movements (e.g., facial grimaces and oro-facial movements). Neuropsychological evaluations confirmed the presence of difficulties in cognitive tasks, while neurophysiological evaluations (i.e., electroencephalography) suggested the presence of "slowed" patterns of brain activity. Neurogenic stuttering and cognitive difficulties were evident for 4-5 months after negativization of SARS-CoV-2 nasopharyngeal swab, with gradual improvement and near-to-complete recovery. Conclusions: It is now evident that SARS-CoV-2 infection may significantly involve the central nervous system, also resulting in severe and long-term consequences, even if the precise mechanisms are still unknown. In the present report, long COVID-19 resulted in neurogenic stuttering, as the likely consequence of a "slowed" metabolism of (pre)frontal and sensorimotor brain regions (as suggested by the present and previous clinical evidence). As a consequence, the pathophysiological mechanisms related to the appearance of neurogenic stuttering have been hypothesized, which help to better understand the broader and possible neurological consequences of COVID-19.

Some science subjects are often perceived to be difficult and boring by students due to their nature and the way they are taught. This study sought to check the effectiveness of the technology-enhanced instruction method with comprehensive use of virtual labs and animations in teaching nerve cells' (neurons and glial cells) structures and functions. Mayer's cognitive theory of multimedia learning provided the theoretical model to frame the study. This study used a quasi-experimental design of pre-test and post-test where four secondary schools all from the southern province of Rwanda were selected from two different districts. Two schools from Ruhango District were assigned to the experimental group while the other two schools from Muhanga District were assigned to the control group. The study involved 168 students, 83 forming the control group, and 85 forming the experimental group. The biology test based on nerve cells was used to assess the effect of teaching strategies before and after learning. The collected data were analyzed using SPSS version 23, and we computed a multivariate analysis of variance (MANOVA) and repeated measures ANOVA. The results indicated that the students who learned nerve cells by use of technology-enhanced instruction of virtual labs and animations outperformed those who learned with conventional methods (M. exp. = 80.41% with SD = 10.32 versus M. cont. = 47.11% with SD = 10.68 and a p-value < 0.05). The results also indicated that after learning with virtual labs and animations, the number of students who were able to perform each of the 20 questions of the test increased considerably. The study recommends the use of virtual labs and animations to enhance students' understanding of nerve cells.

Curiosity, creativity, and aesthetics are typically studied separately. The extent to which they share psychological and neural mechanisms is not well understood, despite all being linked to broader personality characteristics like Openness to Experience and are driven by a desire for information and knowledge. Here, we review evidence and advance the hypothesis that creative and aesthetic experiences depend on curiosity as a driver of information-seeking and exploratory behavior because they are exemplars of situations that highlight gaps in knowledge or require problem finding and solving. At the psychological level, we link curiosity, creativity, and aesthetics to Openness to Experience and to ones' semantic memory. We demonstrate how Openness is a critical personality trait in enhancing curious behaviors, as well as creative and aesthetic acts. Furthermore, we highlight the role of semantic memory in such information-seeking behavior, leading to knowledge acquisition. At the neural level, we examine the neurobiological underpinnings of these constructs in relation to the mesolimbic dopaminergic reward system, as related to information-seeking. Finally, we link creativity and aesthetic experience and discuss how stages of art viewing and making relate to curiosity. Thus, we argue that information-seeking, the key behavior attributed to curiosity, motivates both creative and aesthetic activities.

Clerkships are defining experiences for medical students in which students integrate basic science knowledge with clinical information as they gain experience in diagnosing and treating patients in a variety of clinical settings. Among the basic sciences, there is broad agreement that anatomy is foundational for medical practice. Unfortunately, there are longstanding concerns that student knowledge of anatomy is below the expectations of clerkship directors and clinical faculty. Most allopathic medical schools require eight "core" clerkships: internal medicine (IM), pediatrics (PD), general surgery (GS), obstetrics and gynecology (OB), psychiatry (PS), family medicine (FM), neurology (NU), and emergency medicine (EM). A targeted needs assessment was conducted to determine the anatomy considered important for each core clerkship based on the perspective of clinicians teaching in those clerkships. A total of 525 clinical faculty were surveyed at 24 United States allopathic medical schools. Participants rated 97 anatomical structure groups across all body regions on a 1-4 Likert-type scale (1 = not important, 4 = essential). Non-parametric ANOVAs determined if differences existed between clerkships. Combining all responses, 91% of anatomical structure groups were classified as "essential" or "more important." Clinicians in FM, EM, and GS rated anatomical structures in most body regions significantly higher than at least one other clerkship (p = 0.006). This study provides an evidence-base of anatomy content that should be considered important for each core clerkship and may assist in the development and/or revision of preclinical curricula to support the clinical training of medical students.

Purpose: Children with residual speech sound disorders (RSSD) have shown differences in neural function for speech production, as compared to their typical peers; however, information about how these differences may change over time and relative to speech therapy is needed. To address this gap, we used functional magnetic resonance imaging (fMRI) to examine functional activation and connectivity on adaptations of the syllable repetition task (SRT-Early Sounds and SRT-Late Sounds) in children with RSSD before and after a speech therapy program. Method: Sixteen children with RSSD completed an fMRI experiment before (Time 1) and after (Time 2) a speech therapy program with ultrasound visual feedback for /[voiced alveolar approximant]/ misarticulation. Progress in therapy was measured via perceptual ratings of productions of untreated /[voiced alveolar approximant]/ word probes. To control for practice effects and developmental change in patterns of activation and connectivity, 17 children with typical speech development (TD) completed the fMRI at Time 1 and Time 2. Functional activation was analyzed using a region-of-interest approach and functional connectivity was analyzed using a seed-to-voxel approach. Results: Children with RSSD showed a range of responses to therapy. After correcting for multiple comparisons, we did not observe any statistically significant cross-sectional differences or longitudinal changes in functional activation. A negative relationship between therapy effect size and functional activation in the left visual association cortex was on the SRT-Late Sounds after therapy, but it did not survive correction for multiple comparisons. Significant longitudinal changes in functional connectivity were observed for the RSSD group on SRT-Early Sounds and SRT-Late Sounds, as well as for the TD group on the SRT-Early Sounds. RSSD and TD groups showed connectivity differences near the left insula on the SRT-Late Sounds at Time 2. Conclusion: RSSD and treatment with ultrasound visual feedback may thus be associated with neural differences in speech motor and visual association processes recruited for speech production.

Purpose: The purpose of this study is to investigate the effects of the remote training process on distance learning with the application of neurometrics and investigate the features of the training that promote better synchronization between trainers and trainees in terms of cognitive and emotional processes favorable to learning, during a condition of remote professional training. Design/methodology/approach: The authors proposed a hyperscanning paradigm together with a conversational analysis to assess remote online training by collecting neurophysiological measures (frequency band analysis: delta, theta, alpha and beta) via multiple wearable electroencephalograms (EEGs) during a session of remote training. Findings: Results showed increased delta activity in the trainer when he was leading the session and when the participants were exchanging feedback. The delivery of feedback was also linked to increased theta activity compared with the normal activity of the trainees. Finally, synchronization of EEG between trainer and trainee groups was found for the beta band. Research limitations/implications: This study proposes to adopt a new multi-methodological approach that combines conversational analysis with the detection of remote neurometric parameters, in the field of educational neuroscience applied to organizational contexts. Practical implications: Findings can help trainers in the development of their skills as trainers and in modeling remote training in organizations. Originality/value: Findings highlight the crucial role of particular phases of the e-learning process, such as the feedback phase and the interaction trainer group, and they pointed out the relevance of neurophysiological measures to test the e-learning process.

We analyse interactions between teachers and students during video-recorded bedside teaching sessions in internal medicine, orthopaedics and neurology. Multiple raters used a high-inference categorical scheme on 36 sessions. Our research questions concern the types of student mistakes, clinical teachers' reactions to them and if they use different strategies to address different types of mistakes. We used a Poisson model and generalized mixed models to analyse these research questions. Most frequently, students made reproduction mistakes. Relatively high rates of rejection and a similar prevalence of low and high levels of elaboration and correction time for students were observed. Reproduction mistakes were associated with the highest level of rejection and the lowest level of elaboration. High levels of elaboration were observed when students were applying skills in new situations. Students were most often allowed time to correct when mistakes in the areas of analysis or application of skills and knowledge had occurred. There is a decrease in the rate of making mistakes for neurology and orthopaedics compared to internal medicine. Reproduction mistakes influence significantly the outcome feedback compared to application mistakes. Analytic and reproduction mistakes influence elaboration significantly compared to application mistakes. We found a significant effect whether the lecturer allows time for correction of reproduction mistakes compared to application mistakes. These results contribute to the understanding of interactive, patient-centred clinical teaching as well as student mistakes and how teachers are reacting to them. Our descriptive findings provide an empirical basis for clinical teachers to react to student mistakes in didactically fruitful ways.

Childhood socioeconomic status (SES) is one of the strongest predictors of student reading outcomes, and these disparities have persisted for decades. Relatedly, two underlying skills that are required for successful reading--oral language and executive function (EF)--are also the two neurocognitive domains most affected by SES. In this review, we summarize current knowledge on how SES influences the neurobiology of language, EF, and their intersection, including the proximal factors that drive these relationships. We then consider the burgeoning evidence that SES systematically moderates certain brain-behavior relationships for language and EF, underscoring the importance of considering context in investigations of the neurobiological underpinnings of reading development. Finally, we discuss how disparities in reading may be conceptualized as neurobiological adaptations to adversity rather than deficit models. We conclude that by harnessing children's stress-adapted relative strengths to support reading development, we may address opportunity gaps both ethically and efficaciously.

Despite decades of prior research, the mechanisms of skilled reading development remain elusive. Numerous studies have identified word recognition and oral language ability as key components to explain later reading comprehension performance. However, these components alone do not fully explain differences in reading achievement. There is ongoing work exploring other cognitive processes important for reading, such as the set of skills encompassed in the domain-general concept of executive function (EF). Here, we summarize our work on the behavioral and neurobiological connections between EF and reading and present preliminary neuroimaging findings from ongoing work. Together, these studies suggest (1) that EF plays a supportive and perhaps indirect role in reading achievement and (2) that EF-related brain regions interface with the reading and language networks. While further work is needed to dissect the specifics of how EF interacts with reading, these studies begin to reveal the complex role that EF plays in reading development.

Children from economically disadvantaged communities have a disproportionate risk of exposure to chemicals, social stress, and learning difficulties. Although animal models and epidemiologic studies link exposures and neurodevelopment, little focus has been paid to academic outcomes in environmental health studies. Similarly, in the educational literature, environmental "chemical" exposures are overlooked as potential etiologic factors in learning difficulties. We propose "a theoretical framework for the etiology of learning difficulties that focuses on these understudied exogenous factors." We discuss findings from animal models and longitudinal, prospective birth cohort studies that support this theoretical framework. Studies reviewed point to the effects of prenatal exposure to polycyclic aromatic hydrocarbons on reading comprehension and math skills via effects on inhibitory control processes. Long term, this work will help "close the achievement gap in the United States" by identifying behavioral and neural pathways from prenatal exposures to learning difficulties in children from economically disadvantaged families.

Attention and executive functions (EFs) play a critical role in academic skill development, including literacy and numeracy. Deficits in attention and EFs often accompany learning disorders, such as dyslexia and dyscalculia. Despite their well-established link, we lack a nuanced understanding of the specific neurobiological mechanisms that integrate the higher order cognitive processes of EFs (e.g., cognitive control) with the control of lower-level cognition related to domain-specific skills (e.g., processing numerical information). While attention and EFs have been identified as key factors in domain-specific cognition and learning, the focus on its domain-generality may hinder exploration of its domain-specific roots. Using the example of number processing, I detail a series of neuroimaging studies exploring how domain-specific mechanisms interact with domain-general processing. They suggest that a better understanding of the hierarchical nature of higher order control of lower-level processing is necessary to explain the relation between attention, EFs, and academic skills.

The neural basis for long-term behavioral improvements resulting from multi-session transcranial direct current stimulation (tDCS) combined with working memory training (WMT) remains unclear. In this study, we used task-related electroencephalography (EEG) measures to investigate the lasting neurophysiological effects of anodal high-definition (HD)-tDCS applied over the left dorsolateral prefrontal cortex (dlPFC) during a challenging WMT. Thirty-four healthy young adults were randomized to sham or active tDCS groups and underwent ten 30-minute training sessions over ten consecutive days, preceded by a pre-test and followed by post-tests performed one day and three weeks after the last session, respectively, by performing high-load WM tasks along with EEG recording. Multi-session HD-tDCS significantly enhanced the behavioral benefits of WMT. Compared to the sham group, the active group showed facilitated increases in theta, alpha, beta, and gamma task-related oscillations at the end of training and significantly increased P300 response 3 weeks post-training. Our findings suggest that applying anodal tDCS over the left dlPFC during multi-session WMT can enhance the behavioral benefits of WMT and facilitate sustained improvements in WM-related neural efficiency.

The income-achievement gap is a significant and stubborn problem in the United States, which has been exacerbated by the COVID-19 pandemic. In this article, we link two emerging literatures that have historically been disparate: the neurobiology of poverty as a form of early life stress, and research on educational policies with the potential to reduce SES-based disparities in academic achievement. In doing so, we (1) integrate the literature on poverty-related mechanisms that contribute to early life stress, alter neurobiology, and lead to educational inequities, and (2) based on this research, highlight policies and practices at the school/classroom level and broader structural level that have the potential to address the problem of inequity in our educational systems. We emphasize that educational inequity is a systemic issue, and its resolution will require coordination of local, state, and national policies.

The US Department of Justice released the final report on school violence and showed that middle school is the age when violence is high, accounting for more than 70% of all violence cases (Zweig et al., 2013). After having perpetrated, the probability that the perpetrator will commit violence again will increase significantly (Office of the Surgeon General, et al., 2001), In the later review of the perpetrators, almost 100% admitted that they were unable to control their violent behavior at that time and seemed to have an invisible impulse to urge them to commit violence, and even when they knew the harm of the violent behavior, they still committed violence without scruples (Willems et al., 2018). This indicates that among the 30% of middle school students prone to violence, the underlying age-related neuroendocrine changes are most likely to be the driving force leading to violence. In this commentary, the authors argue that school violence intervention based on neuroendocrine mechanisms may be more effective than other external factors (Rivara et al., 2016). It is of greater practical significance to use the interactive network formed between testosterone, cortisol, and dopamine at different brain center sites as the target of intervention.

To be ready to learn, children need to be focused, engaged, and able to bounce back from setbacks. However, many children come to school with heightened or diminished physiological arousal due to exposure to poverty-related risks. While stress physiology plays a role in explaining how adversity relates to processes that support students' cognitive development, there is a lack of studies of physiological stress response in educational settings. This review integrates relevant studies and offers future directions for research on the role of stress physiology in the school adaptation of elementary school students, focusing on these important questions: (a) What are the links between physiological stress response and learning-related skills and behaviors, and do they vary as a function of proximal and distal experiences outside of school?; (b) How are school experiences associated with students' physiological stress response and related cognitive and behavioral adaptations?; and (c) How can we leverage measures of students' physiological stress response in evaluations of school-based interventions to better support the school success of every student? We hope to stimulate a new wave of research that will advance the science of developmental stress physiology, as well as improve the application of these findings in educational policy and practice.

Health education is one of the knowledge areas in which augmented reality (AR) technology is widespread, and it has been considered as a facilitator of the learning process. In literature, there are still few studies detailing the role of mobile AR in neuroanatomy. Specifically, for the spinal cord, the teaching-learning process may be hindered due to its abstract nature and the absence of three-dimensional models. In this sense, we implemented a mobile application with AR technology named "NitLabEduca" for studying the spinal cord with an interactive exploration of 3D rotating models in the macroscopic scale, theoretical content of its specificities, animations, and simulations regarding its physiology. To investigate "NitLabEduca's" effects, eighty individuals with and without previous neuroanatomy knowledge were selected and grouped into control and experimental groups. Divided, they performed learning tasks through a questionnaire. We used the System Usability Scale (SUS) to evaluate the usability level of the mobile application and a complimentary survey to verify the adherence level to the use of mobile applications in higher education. As a result, we observed that participants of both groups who started the task with the application and finished with text had more correct results in the test (p < 0.001). SUS results were promising in terms of usability and learning factor. We concluded that studying the spinal cord through "NitLabEduca" seems to favor learning when used as a complement to the printed material.

Optimizing collaborative behavior is crucial in educational activities, directly improving academic performance, social skills, and social-emotional learning for both teachers and students. In an effort to decipher the mechanisms underlying the effectiveness of collaborative learning, educators and neuroscientists have initiated the collection and analysis of learners' physiological parameters during such collaborative exercises. Considering both accuracy and portability, functional near-infrared spectroscopy (fNIRS) has emerged as a viable tool. The current study aims to understand its potential for studying neural mechanisms of collaboration. Sixty articles were reviewed from three databases to address three research questions: (1) What are the characteristics (i.e., number of publications per year and for different age groups of participants, sample size, and the usage of fNIRS devices) of fNIRS-based collaboration research? (2) What experimental designs are commonly employed in fNIRS-based collaboration research? (3) What is the relationship between neural activity and interactive behavioral performance? The results provide a comprehensive descriptive statistical analysis of the literature characteristics and offer a detailed summary of the research methods employed, including the experimental protocol, task, and duration. Importantly, these findings demonstrate compelling evidence of inter-brain synchrony (IBS), indicating synchronized cortical activities between interacting individuals, and it was observed in the prefrontal cortex or temporoparietal cortex during collaboration and interaction tasks, highlighting the crucial role of these brain regions in facilitating collaborative behavior. The finding of this review advanced our understanding of how fNIRS is utilized in collaborative research and offer practical implications for designing educational interventions or programs aimed at enhancing collaborative behaviors and their associated benefits.

Integrating behavioral and neurophysiological measures has created new and advanced ways to understand the development of self-regulation. Electroencephalography (EEG) has been used to examine how self-regulatory processes are related to frontal alpha power during infancy and early childhood. However, findings across previous studies have been inconsistent. To address this issue, the current meta-analysis synthesized all prior literature examining associations between individual differences in self-regulation and frontal EEG alpha power (baseline and/or task). In total, 23 studies consisting of 1275 participants between 1 month and 6 years of age were included, which yielded 149 effect sizes. Findings of the three-level meta-analytic model demonstrated a non-significant overall association between self-regulation and frontal alpha power. Yet, significant moderating effects were found for self-regulation construct (emotion regulation, effortful control, executive function), self-regulation measurement (behavioral task, computer assessment, lab observation, questionnaire), and children's mean age. Self-regulation was only significantly correlated with frontal alpha power when studies focused on the executive functioning construct. Moreover, the use of behavioral tasks or questionnaires and a higher mean age of the children resulted in small but significant effect size estimates. Higher frontal alpha power values were related to higher order top-down mechanisms of self-regulation, indicating that these mechanisms might become stronger when the frontal cortex is sufficiently developed. The findings of the current meta-analysis highlight the importance of longitudinal analyses and multimethod approaches in future work to reach a more comprehensive understanding of the role of frontal EEG alpha activity in the etiology of individual differences in early self-regulation.

Bullying victimization is a prevalent concern for neurodivergent (e.g., autistic, ADHD) youth. Bullying assessment methods vary widely and there is currently no questionnaire specific to neurodivergent youth. The "Assessment of Bullying Experiences" ("ABE") was created to fill this gap. The "ABE" questionnaire was completed by 335 parents of school-age youth characterized as autistic, having ADHD, or community comparison. Exploratory and Confirmatory Factor Analysis identified a four-factor solution, aligning with verbal, physical, relational, and cyber victimization. Construct validity analyses indicate the "ABE" converges with an existing bullying questionnaire and diverges from disruptive behavior or internalizing symptoms. The "ABE" questionnaire is a valid measure of bullying that furthers understanding of nuance in peer victimization for neurodivergent youth and informs group-specific intervention.

Over the last 20 years, we have learned much about the extent to which early-life deprivation affects the mental health of children and adolescents. This body of evidence comes predominantly from studies of children raised in institutional care. The Bucharest Early Intervention Project (BEIP) is the only randomized controlled trial designed to evaluate whether the transition to family-based foster care early in development can ameliorate the long-term impact of institutional deprivation on psychopathology during vulnerable developmental windows such as adolescence. In this review, we detail the extent to which early deprivation affects mental health during this period, the capacity of family-based care to facilitate recovery from early deprivation, and the mechanisms underpinning these effects spanning social-emotional, cognitive, stress, and neurobiological domains. We end by discussing the implications and directions for the BEIP and other studies of youth raised in institutions.

Purpose: Children who are deaf or hard of hearing (D/HH) are at increased risk for neurocognitive delays, which can have cascading effects on development. Associations between neurocognition and the content of parental language--specifically the use of mental state vocabulary--have been observed in typically hearing (TH) children. This study investigated the role of parental use of mental state language (e.g., vocabulary related to thought processes, desires, and emotions) in explaining variability in neurocognition in children who are D/HH. Method: Dyads of 62 TH and 69 D/HH children who wear hearing aids or cochlear implants (ages 3-8 years) and their primary parent were videorecorded during a 20-min play session. Specific mental state words used by parents were extracted. Child neurocognition (specifically, inhibitory control) was assessed using norm-referenced measures. Results: Parent use of mental state language predicted child inhibitory control differentially based on hearing status, with a significant relation in the D/HH but not the TH group. Mental state vocabulary related to cognition (e.g., "think," "know"), but not to desire (e.g., "want," "like") or emotion (e.g., "feel," "frustrated"), predicted child inhibitory control in the D/HH group. Finally, there was a significant relation between the use of first person, but not second or third person, mental state verbs (e.g., "I think") and child inhibitory control. Conclusions: Parental use of cognitive mental state vocabulary models language around thought processes, and parents' use of first-person referents models "self-talk." Modeling of these linguistic forms is likely foundational for developing self-regulation. Children who are D/HH often experience reduced auditory access and/or language delays and thus rely on high-quality parental language input for longer periods of development than their TH peers. Continued support from interventionists is indicated to coach parents to be high-quality models of more abstract, decontextualized language, supporting complex language development and inhibitory control in children who are D/HH.

The use of neurophysiological measurements to advance the design, development, use, acceptance, influence and adaptivity of information systems is receiving increasing attention. Within the field of education, neurophysiological measurements have commonly been used to capture a learner's psychological constructs such as cognitive load, attention and emotion, which play an important role in student learning. This paper systematically examines the literature on the use of neurophysiological measurements in higher education. In particular, using a well-established Systematic Literature Review (SLR) method, we identified 83 papers reporting empirical evidence about the outcome of employing neurophysiological measurements within educational technologies in higher education. The findings of the SLR are divided into three main themes discussing the employed measurements, experimental settings and constructs and outcomes. Our findings identify that (1) electroencephalography and facial expression recognition are the dominantly employed types of measurement, (2) the majority of the experiments used a pre-experimental design, (3) attention and emotion are the two foremost cognitive and non-cognitive constructs under investigation, while less emphasis is paid to meta-cognitive constructs and (4) the reported results mostly focus on monitoring learners' states, which are not always the same as the intended purpose, such as developing an adaptive system. On a broader term, the review of the literature provides evidence of the effective use of neurophysiological measurements by educational technologies to enhance learning; however, a number of challenges and concerns related to the accuracy and validity of the captured construct, the intrusiveness of the employed instruments as well as ethical and privacy considerations have surfaced, that need to be addressed before such technologies can be employed and adopted at scale.