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Past work has shown that eye movements are affected by long-term memory across different tasks and instructional manipulations. In the current study, we tested whether these memory-based eye movements persist when memory retrieval is under intentional control. Participants encoded multiple scenes with six objects (three faces; three tools). Next, they completed a memory regulation and visual search task, while undergoing eye tracking. Here, scene cues were presented and participants either retrieved the encoded associate, suppressed it, or substituted it with a specific object from the other encoded category. Following a delay, a search display consisting of six dots intermixed with the six encoded objects was presented. Participants' task was to fixate one remaining dot after five had disappeared. Incidental viewing of the objects was of interest. Results revealed that performance in a final recognition phase was impaired for suppressed pairs, but only when the associate was a tool. During the search task, incidental associate viewing was lower when participants attempted to control retrieval, whereas one object from the nonassociate category was most viewed in the substitute condition. Additionally, viewing patterns in the search phase were related to final recognition performance, but the direction of this association differed between conditions. Overall, these results suggest that eye movements are attracted to information retrieved from long-term memory and held active (the associate in the retrieve condition, or an object from the other category in the substitute condition). Furthermore, the level of viewing may index the strength of the representation of retrieved information.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interaction, verbal and nonverbal communication, and behaviors or interests. Besides behavioral, psychopharmacological and biomedical interventions there is increasing evidence of non-invasive treatments like neurofeedback (NFB) that can improve brain activity. In this study, we have investigated whether NFB can improve cognitive functions in children with ASD. Thirty-five children with ASD (7-17 years) were selected by purposive sampling. The subjects underwent 30 sessions of NFB training for 20 min over 10 weeks' period. Psychometric tests i.e. Childhood Autism Rating Scale (CARS), IQ scoring and Reward sensitivity tests were administered at baseline. Pre and post NFB intervention assessment of executive functions, working memory and processing speed were done by NIH Toolbox Cognition Batteries. Friedman test revealed that children showed a statistically significant improvement in the NIH Tool Box cognitive assessments, including the Flankers Inhibitory Control and Attention Test (Pre-test = 3.63, Post-test = 5.22; p = 0.00), the Dimensional Change Card Sorting Test (Pre-test = 2.88, Post-test = 3.26; p = 0.00), the Pattern Comparison Processing Speed Test (Pre-test = 6.00, Post-test = 11:00; p = 0.00) and the List Sorting Working Memory Test (Pre-test = 4.00, Post-test = 6:00; p = 0.00), and displayed a trend of improvement at 2-month follow-up (Flankers Inhibitory Control and Attention Test (Post-test = 5.11 ± 2.79, Follow-Up = 5.31 ± 2.67; p = 0.21), the Dimensional Change Card Sorting Test (Post-test = 3.32 ± 2.37, Follow-Up = 3.67 ± 2.35; p = 0.054), the Pattern Comparison Processing Speed Test (Post-test = 13.69 ± 9.53, Follow-Up = 14.42 ± 10.23 p = 0.079) and the List Sorting Working Memory Test (Post-test = 6.17 ± 4.41, Follow-Up = 5.94 ± 4.03; p = 0.334). Our findings suggest NFB intervention for 10 weeks produce improvement in executive functions (Inhibitory Control and Attention and Cognitive Flexibility), Processing Speed and Working Memory in ASD Children.

In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such tests to provide reliable, accurate inference on a test-taker's performance could be jeopardized by aberrant test-taking practices, for instance, practicing real items prior to the test. As a result, it is crucial for administrators of such assessments to develop strategies that detect potential aberrant test-takers after data collection. The aim of this study is to explore the implementation of machine learning methods in combination with multimodal data fusion strategies that integrate bio-information technology, such as eye-tracking, and psychometric measures, including response times and item responses, to detect aberrant test-taking behaviors in technology-assisted remote testing settings.

In the realm of mathematics education, geometry problems assume a pivotal role by fostering abstract thinking, establishing a connection between theory and practice, and offering a tangible portrayal of reality. This study focuses on comprehending problem-solving methodologies by observing the eye movements of 45 primary and multi-year grammar school pupils, aged 11 to 14, as they tackled pictorial geometry problems without computation. The utilization of eye-tracking technology, specifically the OGAMA tool, was essential in unveiling the nuanced strategies employed by students. Visual attention metrics were determined through fixations on predefined areas of interest, identified using the ScanGraph tool. Through an analysis of eye movements, participants were categorized into three distinct groups based on their problem-solving strategies. This categorization facilitated an exploration of the correlation between the chosen strategy and the success rate in solving geometry problems without computational aids. The findings underscore the imperative for continued investigation into strategies for solving geometry problems without computation. Additionally, the research aims to broaden its scope by delving into the metacognitive strategies applied in solving imaginative geometric tasks.

Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions from different facets, multi-modal approaches are necessary. However, multi-modal approaches are rarely used for assessing emotions, especially in the context of computer programming. This study adopts a multi-modal approach to understand the changes in students' perception of emotions before and after working on programming problems. Understanding these changes in students' perceptions may enable educators to devise interventions that help students adjust their perceptions and regulate their emotions as per their skills. We conducted a one-on-one programming session and retrospective think-aloud interview with 17 students from an introductory programming course. During the programming session, students filled surveys and performed four programming tasks. While working on these tasks, students' eye gaze, video of face and screen, and electrodermal activity data were also collected using a non-invasive device. The data collection for this study was multi-modal, with a mix of both qualitative and quantitative data collection methods. Data analysis was primarily qualitative, with additional triangulation of qualitative and biometric data for select exemplars. The findings of this study suggest that students experience changes in emotions because of many reasons, for instance, they encountered repeated errors, they set high standards for their performance, or they could not manage time. For some students, negative emotions changed to positive emotions when they solved errors without any external help or achieved more than what they expected going into the task. Moreover, the triangulation of qualitative and biometric data of two participants provides a fine-grained analysis of their emotions and behaviors and confirmed the change in the perception of their emotions while performing the programming tasks.

Incidental learning is a type of informal learning occurring consciously with unintentional acts. Within the scope of this study, informal learning on a digital learning platform was examined in the context of cognitive load. The current study investigated the changes in incidental learning within two different scenarios: extraneous irrelevant content (V1) vs. extraneous relevant content (V2) represented in various modalities. Data were collected in a mixed manner using eye-tracker and electroencephalogram devices. Both incidental and actual learning scores of V2 group were higher than the V1 group. For the incidental learning context, visual modality was superior to other modalities, but the dynamic visuals were perceived as disturbing in comparison to static ones. The V1 group had higher number of errors during task engagement. The eye fixation patterns of both groups were similar to each other. Fixation durations on the dynamic visual extraneous content area were recorded the longest among all extraneous content. The V2 group reported higher mental effort. The efficiency metric calculations yielded contradictory findings depending on the cognitive load values obtained from self-ratings vs. cognitive load index (CLI).

Pulsed-wave Doppler ultrasound is a widely used technique for monitoring pregnancies. As ultrasound equipment becomes more advanced, it becomes harder to train practitioners to be proficient in the procedure as it requires the presence of an expert, access to high-tech equipment as well as several volunteering patients. Immersive environments such as mixed reality can help trainees in this regard due to their capabilities to simulate real environments and objects. In this article, we propose a mixed reality application to facilitate training in performing pulsed-wave Doppler ultrasound when acquiring a spectrogram to measure blood velocity in the umbilical cord. The application simulates Doppler spectrograms while the trainee has the possibility of adjusting parameters such as pulse repetition frequency, sampling depth, and beam-to-flow angle. This is done using a combination of an optimized user interface, 3D-printed objects tracked using image recognition and data acquisition from a gyroscope. The application was developed for Microsoft HoloLens as the archetype of mixed reality, while a 3D-printed abdomen was used to simulate a patient. The application aims to aid in both simulated and real-life ultrasound procedures. Expert feedback and user-testing results were collected to validate the purpose and use of the designed application. Design science research was followed to propose the intended application while contributing to the literature on leveraging immersive environments for medical training and practice. Based on the results of the study, it was concluded that mixed reality can be efficiently used in ultrasound training.

This study examined the effectiveness of an ultrasound visual biofeedback (UVB) training on speech-language pathology (SLP) students' assessment of sonographic tongue configuration. This study examined the presence of a functional relation between an ultrasound visual biofeedback (UVB) training within the Participatory Adult Teaching Strategy framework and speech-language pathology (SLP) students' assessment of sonographic tongue configuration. Method: This study employed a multiple baseline, single-case design across participants and behaviors for data collection and analysis. Four graduate and three undergraduate level SLP students participated. Results: Percentage of goal obtained indicated that training was effective across participants and behaviors for teaching SLP students in the assessment of sonographic tongue shape for remediation of speech sound errors. Differences were found between undergraduate and graduate SLP students in the accuracy of assessment of sonographic tongue section configuration. Conclusions: The study establishes preliminary effectiveness of UVB training for SLP students. Although results demonstrate the effectiveness, special considerations should be applied when training graduate and undergraduate students in implementation of UVB training in order to accommodate knowledge and clinical experience differences between graduate and undergraduate students.

Introduction: The preferences of people with profound intellectual and multiple disabilities (PIMD) often remain unfulfilled since it stays challenging to decode their idiosyncratic behavior resulting in a negative impact on their quality of life (QoL). Physiological data (i.e. heart rate (variability) and motion data) might be the missing piece for identifying emotions of people with PIMD, which positively affects their QoL. Method: Machine learning (ML) processes and statistical analyses are integrated to discern and predict the potential relationship between physiological data and emotional states (i.e. numerical emotional states, descriptive emotional states and emotional arousal) in everyday interactions and activities of two participants with PIMD. Results: Emotional profiles were created enabling a differentiation of the individual emotional behavior. Using ML classifiers and statistical analyses, the results regarding the phases partially confirm previous research, and the findings for the descriptive emotional states were good and even better for the emotional arousal. Conclusion: The results show the potential of the emotional profiles especially for practitioners and the possibility to get a better insight into the emotional experience of people with PIMD including physiological data. This seems to be the missing piece to better recognize emotions of people with PIMD with a positive impact on their QoL.

This study used traditional and holographic video, along with eye-tracking technology, to examine how preservice teachers' physical act of looking is associated with how they attend to and assess students' fraction reasoning. Findings revealed that, although viewing of holograms may have influenced more focus on students' work area, there was little observed difference in the written noticing of preservice teachers in each condition. Additionally, by examining eye-gaze data for how teachers focused rather than simply what they focused on, findings were able to distinguish between how different participants perceived students' fraction work. Results indicated that the more participants described students' conceptual reasoning, the more likely they were to focus on the mathematical work students were doing and not simply on the region they did such work.

People regularly read multi-line texts in different formats and publishers, internationally, must decide how to present text to make reading most effective and efficient. Relatively few studies have examined multi-line reading, and fewer still Chinese multi-line reading. Here, we examined whether texts presented in single or double columns, and either left-justified or fully-justified affect Chinese reading. Text format had minimal influence on overall reading time; however, it significantly impacted return-sweeps (large saccades moving the eyes from the end of one line of text to the beginning of the next). Return-sweeps were launched and landed further away from margins and involved more corrective saccades in single- than double-column format. For left- compared to fully-justified format, return-sweeps were launched and landed closer to margins. More corrective saccades also occurred. Our results showed more efficient return-sweep behavior for fully- than left-justified text. Moreover, there were clear trade-off effects such that formats requiring increased numbers of shorter return-sweeps produced more accurate targeting and reduced numbers of corrective fixations, whereas formats requiring reduced numbers of longer return-sweeps caused less accurate targeting and an increased rate of corrective fixations. Overall, our results demonstrate that text formats substantially affect return-sweep eye movement behavior during Chinese reading without affecting efficiency and effectiveness, that is, the overall time it takes to read and understand the text.

Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA dashboard design to reduce the data visualisation skills -- often referred to as visualisation literacy (VL) -- and cognitive effort required by teachers to effectively use dashboards. However, despite the potential of DS principles in simplifying data visualisations, there is limited evidence supporting their effectiveness in actually reducing teachers' cognitive load. The study presented in this paper addresses this gap by investigating the potential impact of LA dashboards, with and without DS elements, on teachers with varying VL levels. Through a quasi-experimental study involving 23 teachers, we analysed changes in pupil dilation -- a proxy for cognitive load -- as they examined LA dashboards featuring student data captured while participating in synchronous, online collaborative learning tasks. Our findings suggest DS can reduce cognitive load, particularly for teachers with lower VL. These results provide insight into the effects of DS and VL on teachers' cognitive load, thereby informing the design of LA dashboards.

Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject fields, and reported results are fragmented. Objectives: The aim of this review is to analyse systematically how physiological methods have been used to measure cognitive load and what the implications are for the future research on AR-based tools. Methods: This paper took the systematic review approach. Through screening with 10 exclusion criteria, 23 studies, that contain 3 key elements: AR-based intervention, cognitive state examination and physiological methods, were identified, analysed and synthesised. Results: Physiological methods in their current form require reference to provide meaningful interpretations and suggestions. Therefore, they are often combined with conventional methods. Many studies investigate the effect of wearable devices in comparison with non-AR stimuli, which has been controversial, but detection of different causes of cognitive load are on the horizon. Eye-tracking is the method most used and most consistent in the use of its parameters. Conclusions: A multi-method approach combining two or more evaluation instruments is essential for the validation of users' cognitive state. In addition to the AR stimuli in question, having another independent variable such as task difficulty in experiment design is useful. Statistical approaches with more data input could help establish a reliable scale. The future research should attempt to dissociate cognitive load caused by different effects such as device, instruction, and other AR techniques as well as intrinsic and extraneous aspects, in a better experimental setup with multiple parameters.

Background and Context: Understanding how a student programmer solves different task types in different programming languages is essential to understanding how we can further improve teaching tools to support students to be industry-ready when they graduate. It also provides insight into students' thought processes in different task types and languages. Few (if any) studies investigate whether any differences exist between the reading and navigation behavior while completing different types of tasks in different programming languages. Objectives: We investigate whether the use of a certain programming language (C++ versus Python) and type of task (new feature versus bug fixing) has an impact on performance and eye movement behavior in students exposed to both languages and task types. Participants: Fourteen students were recruited from a Python course that taught Python as an introductory programming language. Study Method: An eye tracker was used to track how student programmers navigate and view source code in different programming languages for different types of tasks. The students worked in the Geany Integrated Development Environment (IDE, used also in their course) while eye-tracking data was collected behind the scenes making their working environment realistic compared to prior studies. Each task type had a Python and C++ version, albeit on different problems to avoid learning effects. Standard eye-tracking metrics of fixation count and fixation durations were calculated on various areas of the screen and on source code lines. Normalized versions of these metrics were used to compare across languages and tasks. Findings: We found that the participants had significantly longer average fixation duration and total fixation duration adjusted for source code length during bug fixing tasks than the feature addition tasks, indicating bug fixing is harder. Furthermore, participants looked at lines adjacent to the line containing the bug more often before looking at the buggy line itself. Participants who added a new feature correctly made their first edit earlier compared to those who failed to add the feature. Tasks in Python and C++ have similar overall fixation duration and counts when adjusted for character count. The participants spent more time fixating on the console output while doing Python tasks. Overall, task type has a bigger effect on the overall fixation duration and count compared to the programming language. Conclusions: CS educators can better support students in debugging their code if they know what they typically look at while bug fixing. For new feature tasks, training students not to fear edits to learn about the code could also be actively taught and encouraged in the classroom. CS education researchers can benefit by building better IDE plugins and tools based on eye movements that guide novices in recognizing bugs and aid in adding features. These results will lead to updating prior theories on mental models in program comprehension of how developers read and understand source code. They will eventually help in designing better programming languages and better methods of teaching programming based on evidence on how developers use them.

This study investigated the effectiveness of visual training or verbal training on how to use a text-picture processing strategy for learning from computer-based multimedia instructional material. Sixty-nine university students were randomly assigned to the verbal training group (students received text-based instruction for a text-picture processing strategy), the visual training group (students observed a video depicting an expert's eye fixations while using a text-picture processing strategy for an initial portion of a multimedia lesson) or the control group (students did not receive any instruction). During reading a multimedia lesson on biology, students' eye movements were tracked; and after the lesson, students took a posttest. Concerning learning outcomes, both visual and verbal training helped students perform better than the control group on a recall test and the verbal training group perform better on a transfer test. Concerning learning processes, both visual and verbal training caused students to attend less to on-screen text and more to on-screen pictures as compared to the control group. Mediation analysis showed that increased attention to pictures was a mediator for better learning outcomes. Practical and theoretical implications are discussed.

Autistic youth display difficulties in emotion recognition, yet little research has examined behavioral and neural indices of vocal emotion recognition (VER). The current study examines behavioral and event-related potential (N100, P200, Late Positive Potential [LPP]) indices of VER in autistic and non-autistic youth. Participants (N = 164) completed an emotion recognition task, the Diagnostic Analyses of Nonverbal Accuracy (DANVA-2) which included VER, during EEG recording. The LPP amplitude was larger in response to high intensity VER, and social cognition predicted VER errors. Verbal IQ, not autism, was related to VER errors. An interaction between VER intensity and social communication impairments revealed these impairments were related to larger LPP amplitudes during low intensity VER. Taken together, differences in VER may be due to higher order cognitive processes, not basic, early perception (N100, P200), and verbal cognitive abilities may underlie behavioral, yet occlude neural, differences in VER processing.

Learning to read depends on the ability to extract precise details of letter combinations, which convey critical information that distinguishes tens of thousands of visual word forms. To support fluent reading skill, one crucial neural developmental process is one's brain sensitivity to statistical constraints inherent in combining letters into visual word forms. To test this idea in early readers, we tracked the impact of two years of schooling on within-subject longitudinal changes in cortical responses to three different properties of words: coarse tuning for print, and fine tuning to either familiar letter combinations within visual word forms or whole word representations. We then examined how each related to growth in reading skill. Three stimulus contrasts--words versus pseudofonts, words versus pseudowords, pseudowords versus nonwords--were presented while high-density EEG Steady-State Visual Evoked Potentials (SSVEPs, n = 31) were recorded. Internalization of abstract visual word form structures over two years of reading experience resulted in a near doubling of SSVEP amplitude, with increasing left lateralization. Longitudinal changes (decreases) in brain responses to such word form structural information were linked to the growth in reading skills, especially in rapid automatic naming of letters. No such changes were observed for whole word representation processing and coarse tuning for print. Collectively, these findings indicate that sensitivity to visual word form structure develops rapidly through exposure to print and is linked to growth in reading skill.

Emotion dysregulation is common among individuals with autism spectrum disorder (ASD). This study examined the relationship between emotion dysregulation and resting heart rate variability (HRV), a marker of the autonomic nervous system, in ASD adolescents. Resting HRV data were collected from ASD (n = 23) and typically developing (TD) adolescents (n = 32) via short-term electrocardiogram. Parents/caregivers reported participants' level of emotion dysregulation with the Emotion Dysregulation Inventory (EDI). Controlling for the effects of age and gender, regression analyses revealed moderating effects of group, suggesting that lower resting HRV was more strongly associated with greater emotion dysregulation in ASD than TD adolescents. The results support the view that disruptions in autonomic functioning may contribute to emotion dysregulation in ASD.

Neurofeedback (NF) training is a closed-loop brain training in which participants learn to regulate their neural activation. NF training of alpha (8-12 Hz) activity has been reported to enhance working memory capacity, but whether it affects the precision in working memory has not yet been explored. Moreover, whether NF training distinctively influences performance in different types of working memory tasks remains unclear. Therefore, the present study conducted a randomized, single-blind, sham-controlled experiment to investigate how alpha NF training affected the capacity and precision of working memory, as well as the related neural change. Forty participants were randomly and equally assigned to the NF group and the sham control group. Both groups received NF training (about 30 min daily) for five consecutive days. The NF group received alpha (8-12 Hz) training, while the sham control group received sham NF training. We found a significant alpha increase within sessions but no significant difference across sessions. However, the behavioral performance and neural activity in the modified Sternberg task did not show significant change after alpha NF training. On the contrary, the alpha NF training group significantly increased visual working memory capacity measured by the Corsi-block tapping task and improved visual working memory precision in the interference condition in a color-recall task. These results suggest that alpha NF training influences performance in working memory tasks involved in the visuospatial sketchpad. Notably, we demonstrated that alpha NF training improves the quantity and quality of visual working memory.

Math anxiety and academic distress, two interrelated forms of psychological stress, are pervasive problems for undergraduate mathematics students. Most of the research in this area has taken a broad view of the impact this stress has on students' learning across an entire course or, more broadly, the entire curriculum for their degree. To complement this existing body of research, this paper serves a dual purpose: First, to provide insight into undergraduate students' day-to-day classroom stress, and secondly, to explore fitness trackers as a tool for in situ detection of student anxiety or stress in the classroom. To accomplish the first objective, we conduct a phenomenographic analysis to explore the variation in 29 students' reported experiences of psychological stress within a session on roots of polynomial functions. We identified 7 categories of description. For the second objective, we recorded the students' heart rate during the same lesson. We clustered students heart rate variability plots according to our categories of description and employed a logistic regression model to estimate the probability that a student will report experiencing psychological stress given their heart rate variability. Our results show that fitness trackers can produce measures that serve as a predictor of self-reported emotional change.

Evidence implicating theta rhythms in declarative memory encoding and retrieval, together with the notion that both retrieval and consolidation involve memory reinstatement or replay, suggests that post-learning theta rhythm modulation can promote early consolidation of newly formed memories. Building on earlier work employing theta neurofeedback, we examined whether theta-frequency transcranial alternating stimulation (tACS) can engender effective consolidation of newly formed episodic memories, compared with beta frequency stimulation or sham control conditions. We compared midline frontal and posterior parietal theta stimulation montages and examined whether benefits to memory of theta upregulation are attributable to consolidation rather than to retrieval processes by using a washout period to eliminate tACS after-effects between stimulation and memory assessment. Four groups of participants viewed object pictures followed by a free recall test during three study-test cycles. They then engaged in tACS (frontal theta montage/parietal theta montage/frontal beta montage/sham) for a period of 20 min, followed by a 2-h break. Free recall assessments were conducted after the break, 24 h later, and 7 days later. Frontal midline theta-tACS induced significant off-line retrieval gains at all assessment time points relative to all other conditions. This indicates that theta upregulation provides optimal conditions for the consolidation of episodic memory, independent of mental-state strategies.

Learning is a functional state of the brain that should be understood as a continuous process, rather than being restricted to the very moment of its acquisition, storage, or retrieval. The cerebellum operates by comparing predicted states with actual states, learning from errors, and updating its internal representation to minimize errors. In this regard, we studied cerebellar interpositus nucleus (IPn) functional capabilities by recording its unitary activity in behaving rabbits during an associative learning task: the classical conditioning of eyelid responses. We recorded IPn neurons in rabbits during classical eyeblink conditioning using a delay paradigm. We found that IPn neurons reduce error signals across conditioning sessions, simultaneously increasing and transmitting spikes before the onset of the unconditioned stimulus. Thus, IPn neurons generate predictions that optimize in time and shape the conditioned eyeblink response. Our results are consistent with the idea that the cerebellum works under Bayesian rules updating the weights using the previous history.

This study determined the test-retest reliability of 10 sensorimotor skills assessed by the Senaptec Sensory Station in a population of 100 (80 female, age = 21.6 ± 2.8 years) college-aged individuals (18-30 years). Separate intraclass correlation coefficients (ICCs) with a two-way mixed-effects model, absolute agreement, and 95% confidence intervals (CIs) were calculated. Additionally, the standard error of measurement and minimal detectable change values were determined to examine clinical applicability. Go/no-go, multiple-object tracking, eye-hand coordination, depth perception, and reaction time demonstrated good reliability (ICCs = 0.81-0.88). Target capture and perception span demonstrated moderate reliability (ICCs = 0.51-0.63). Visual clarity, contrast sensitivity, and near-far quickness demonstrated poor reliability (ICCs = 0.28-0.43). Assessments involving decision-making, anticipation, and spatial awareness demonstrated good reliability, while most assessments of visual skills demonstrated poor reliability. Overall, go/no-go, multiple-object tracking, eye-hand coordination, depth perception, and reaction time from the Senaptec Sensory Station are reliable and can be administered clinically in a healthy, college-aged population.

Stress experienced during high-risk decision-making may impair performance, but can also be a cue, provoking the move from intuitive and automatic application of expertise to reflective and deliberative approaches. This article reports an exploratory intervention designed to provoke reflection-in-action and, ultimately, to improve practice decision making in experienced clinicians. The intervention combined: classroom-based education on decision-making science, practice-based self-monitoring with the aid of wearable technology, decision-making logs intended to provoke reflection, and opportunities to engage in guided reflection-on-action. The intervention supported recognition and use of physiological cues to moderate action and decision making, and provoked experienced professionals to reconnect with the element of surprise they experienced early in their careers, and to use these moments to improve their practice.

Purpose: This study is an "Action-Research-based" bridge that connects sketching and photographic processes. The article's objective encompasses designing, assessing and validating a perceived difference between sketching and photography through a structured task by ensuring the systematic creation and implementation of the assignments. This study is part of a larger research project exploring the differences between thinking about sketching and final photographic outcomes. Design/methodology/approach: This experimental mixed-method methodology was collected in three phases: the creation phase, where participants were asked to sketch and photograph a balanced composition; the evaluation phase, where the sketches and photographs were evaluated by "Self, Peer, and Independent" reviewers for their perceived differences. An analysis of variance (ANOVA) was implemented to test the result. In the validation phase, eye-tracking technology is applied to understand the subconscious eye movements of individuals. Findings: This study of 37 samples has helped develop a self-study model in photography, as students have learnt to evaluate themselves critically. This experience will help students be active and reflective learners, thus increasing attention and retention in their course, specifically "Photography Design Education". A pedagogical approach by design instructors for practical, student-friendly, process-oriented assignments for their photography courses in higher education. Originality/value: The trans-mediation process requires cognition amongst different mediums, such as pencil and paper for sketching and light for light painting. Photography courses in design education need knowledge of the photo/light medium, contrasting with the understanding of sketching/drawing. Exploring and addressing research gaps for transforming and designing assignments based on adaptive understanding presents an exciting opportunity.

The purpose of this study is to determine how winning and losing affect the heart rate variability of soccer players. 10 licensed soccer players participated in the study who are also e-soccer players. 2 inner balance heart math biofeedback device was used to collect data. 7 e-soccer tournaments were organized to collect the data. Data were only collected from matches in which goals were scored and ended with a win or loss. As soon as a winning or losing situation occurred psychometric measurements were started simultaneously from 2 players for 1 minute. After the tournaments were finished with 93 winnings and 93 losses psychometric data was received. Results have shown that players had higher coherence (HRV) while winning, on the contrary, the coherence levels were very low while losing. A significant difference was found in players' coherence levels between winning and losing situations. In simple words players emotionally felt better when they were winning. This supports the theory that even though the game is electronic the emotions are real looking at the HRVs of the players.

Objective: To determine whether in situ neurofeedback training can be used as a tool to build sustained attention in the general student population and whether gains in attention translate to more effective work habits and learning skills. Method: Students participated in attention training game-based neurofeedback in situ for a period of 35 sessions of 25 min each. The study was built as a one-group pretest-posttest quasi-experimental design. Results: This study supports that classroom-based neurofeedback may be an effective tool to build sustained attention and translate these gains into observable work habits and learning behaviors including planning and organization. Conclusion: Neurofeedback has shown specificity in the treatment of Attention Deficit Hyperactivity Disorder. Published research has not, however, focused on its efficacy in developing attentional capacities in the general population. The promising results of this exploratory investigation warrant further applied research.

Purpose: This study investigated the efficacy of ultrasound biofeedback compared to a traditional acoustic input-only method in the second-language (L2) production training of English tense-lax vowel contrasts (/i-[near-close near-front unrounded vowel]/ and /e-[open-mid front unrounded vowel]/). The relationship between the degrees of production and perception learning was also examined to explore a potential L2 production-perception link. Method: Using a pretest/training/posttest paradigm, two groups of native Mandarin speakers received three sessions of training, one with ultrasound and one with audio only. Perception performance was measured by accuracy in AX discrimination. Production performance was measured in terms of accuracy in repetition production and Euclidean distance between contrasting vowels. Results: Both groups showed significant improvements in posttest production and perception tasks. Additionally, the training benefits were retained 6 weeks after training. The two groups, however, did not differ significantly in training gains; nor was there a significant correlation between training-induced changes in perception and production performance. Conclusions: The results indicate that ultrasound feedback is similarly effective as the audio-only training in improving the L2 production of English tense-lax contrasts and the benefits transferred to perception. The lack of correlation between production and perception gains suggests that the two modalities need to be separately trained to achieve desired L2 learning outcomes.

Educational programs that incorporate social emotional-learning (SEL) strategies, study skills, and mindful breathing using biofeedback can help adolescents decrease worry and social stress, increase test preparedness self-efficacy, and improve academic performance due to lowered levels of test anxiety. The current study examined the efficacy of a SEL intervention (implemented into a high school psychology course) focused on study skills and mindful breathing and its impact on student attitude and behavioural changes (e.g., test anxiety, self-efficacy), academic performance, and physical changes. A quasi-experimental explanatory mixed methods study conducted at a rural Alberta high school examined pre- and post-intervention results between two groups of Grades 9-12 students (N = 105) with one group receiving the intervention (mindful breathing sessions, emotional regulation techniques, study and test-taking skills, and coping strategies) while the other received regular programming. Quantitative data included a Test Anxiety Survey (TAS), Student Opinion Survey-Short Form (SOS-SF), and reading comprehension (RC) tests to measure attitude and behavioural changes, followed by qualitative data obtained from student semi-structured interviews and focus groups for further interpretation. Quantitative results from repeated-measures (RM) ANOVAs indicated significant increases in self-efficacy for preparation and test-taking, increased academic achievement, decreased worry about future social stress, and increased positive affect. Effect sizes for significant impacts ranged from 0.45 to 0.65. Qualitative data indicated that students acquired new SEL strategies to help them handle stressful test situations more effectively. The current study addresses topics of interest to educators (e.g., test anxiety, social emotional learning) with a discussion of applications for extension and development of the program in junior and senior high classrooms.

Background: Studies suggest swallow intervention programmes that incorporate visual biofeedback and motor programming principles can improve swallowing and quality of life for people with idiopathic Parkinson's disease (IPD) and dysphagia. Few studies have examined outcomes using instrumentation. Aims: Using fibreoptic endoscopic examination of swallowing (FEES), this study examines the effectiveness of a neurorehabilitation intervention involving biofeedback via surface electromyography (sEMG) to improve swallowing in people with IPD, and to explore the feasibility of the intervention approach. Methods & Procedures: We recruited 12 participants with IPD and dysphagia. A total of 10 completed the study. Intervention was delivered for 1 h per day, 5 days per week, for 4 weeks (20 h). Swallowing tasks using sEMG biofeedback incorporated principles of motor learning and neuroplasticity. Instrumental and non-instrumental assessment, including quality-of-life measures carried out at four different time points (two pre-treatment and two post-treatment). The final assessment was at 3 months post-intervention. Outcome & Results: Statistically significant improvement (p < 0.05) in oral intake methods (95% confidence interval (CI) = 4.70-5.50) and in pharyngeal residue from saliva (95% CI = 2.14-3.15) and solids (95% CI = 2.4-3.5) post-intervention were confirmed using FEES with improvements at 3 months. The intervention protocol was well tolerated. Participants reported positive change in saliva control and duration of mealtimes as well as unanticipated improvements in voice and cognitive attention. Conclusions & Implications: An intensive neurorehabilitation with biofeedback shows positive effects in improving swallow function in IPD. This protocol is feasible with amendments to inform a larger clinical trial.

Purpose: In the study, we investigated whether speech-language pathologists (SLPs) in India use practice and feedback conditions of motor learning principles (MLPs), including biofeedback, in dysphagia therapy in adults using a problem--solution approach. Method: Based on a literature review and clinical experience, we developed and validated a hypothetical case involving an adult with dysphagia (representing the problem) and a purpose-built 22-item questionnaire (representing the solution). We distributed the questionnaire electronically by sending an e-mail to 2,069 SLPs and also published a flyer on the dysphagia special interest group of India. Results: A total of 107 SLPs anonymously submitted their responses. In practice conditions, most of the SLPs reported following massed over distributed, small over large, blocked over random, whole over part, variable over constant, and internal over external practice strategies. In feedback conditions, most of the participants reported using knowledge of results over performance, high over low, immediate over delayed, and self over therapist feedback strategies. Lastly, more than two thirds of SLPs did not use biofeedback devices for dysphagia therapy. Conclusion: The findings from our study indicate that SLPs in India do not adhere uniformly to the recommended practices of MLPs for dysphagia therapy in adults.

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.

The classroom is the primary site for learning. A vital feature of classroom learning is the division of educational content into various disciplines. While disciplinary differences could substantially influence the learning process toward success, little is known about the neural mechanism underlying successful disciplinary learning. In the present study, wearable EEG devices were used to record a group of high school students during their classes of a soft (Chinese) and a hard (Math) discipline throughout one semester. Inter-brain coupling analysis was conducted to characterize students' classroom learning process. The students with higher scores in the Math final exam were found to have stronger inter-brain couplings to the class (i.e., all the other classmates), whereas the students with higher scores in Chinese were found to have stronger inter-brain couplings to the top students in the class. These differences in inter-brain couplings were also reflected in distinct dominant frequencies for the two disciplines. Our results illustrate disciplinary differences in the classroom learning from an inter-brain perspective, suggesting that an individual's inter-brain coupling to the class and to the top students could serve as potential neural correlates for successful learning in hard and soft disciplines correspondingly.

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.

Learning spatial layouts and navigating through them rely not simply on sight but rather on multisensory processes, including touch. Digital haptics based on ultrasounds are effective for creating and manipulating mental images of individual objects in sighted and visually impaired participants. Here, we tested if this extends to scenes and navigation within them. Using only tactile stimuli conveyed via ultrasonic feedback on a digital touchscreen (i.e., a digital interactive map), 25 sighted, blindfolded participants first learned the basic layout of an apartment based on digital haptics only and then one of two trajectories through it. While still blindfolded, participants successfully reconstructed the haptically learned 2D spaces and navigated these spaces. Digital haptics were thus an effective means to learn and translate, on the one hand, 2D images into 3D reconstructions of layouts and, on the other hand, navigate actions within real spaces. Digital haptics based on ultrasounds represent an alternative learning tool for complex scenes as well as for successful navigation in previously unfamiliar layouts, which can likely be further applied in the rehabilitation of spatial functions and mitigation of visual impairments.

Purpose: This study aimed to identify predictors of response to treatment for residual speech sound disorder (RSSD) affecting English rhotics. Progress was tracked during an initial phase of traditional motor-based treatment and a longer phase of treatment incorporating ultrasound biofeedback. Based on previous literature, we focused on baseline stimulability and sensory acuity as predictors of interest. Method: Thirty-three individuals aged 9-15 years with residual distortions of [voiced alveolar approximant] received a course of individual intervention comprising 1 week of intensive traditional treatment and 9 weeks of ultrasound biofeedback treatment. Stimulability for [voiced alveolar approximant] was probed prior to treatment, after the traditional treatment phase, and after the end of all treatment. Accuracy of [voiced alveolar approximant] production in each probe was assessed with an acoustic measure: normalized third formant (F3)-second formant (F2) distance. Model-based clustering analysis was applied to these acoustic measures to identify different average trajectories of progress over the course of treatment. The resulting clusters were compared with respect to acuity in auditory and somatosensory domains. Results: All but four individuals were judged to exhibit a clinically significant response to the combined course of treatment. Two major clusters were identified. The "low stimulability" cluster was characterized by very low accuracy at baseline, minimal response to traditional treatment, and strong response to ultrasound biofeedback. The "high stimulability" group was more accurate at baseline and made significant gains in both traditional and ultrasound biofeedback phases of treatment. The clusters did not differ with respect to sensory acuity. Conclusions: This research accords with clinical intuition in finding that individuals who are more stimulable at baseline are more likely to respond to traditional intervention, whereas less stimulable individuals may derive greater relative benefit from biofeedback.

Purpose: This proof-of-concept study examined the effectiveness of an ultrasound visual biofeedback (UVB) training within the Participatory Adult Teaching Strategy framework for instructing speech-language pathologists (SLPs) on the assessment of sonographic tongue configuration for remediation of speech sound errors. Method: This research followed a multiple-baseline, multiple-probe single-case research methodology replicated across behaviors for data collection and analysis. Two school-based SPLs with no previous knowledge or experience with UVB were recruited. Results: Visual analysis of data and effect size calculations using the percentage of nonoverlapping data indicated that training was highly effective in teaching SLPs skills for the assessment of sonographic tongue configuration and how to promote changes in tongue configuration for the remediation of speech sound errors. Conclusions: This study addressed the current gap in the literature regarding the lack of empirical evidence of UVB training for SLPs. Our findings support the exploration of evidence-based teaching strategies to train SLPs in the use of UVB for assessment of tongue configuration and remediation of speech sound errors. This can be of interest to academic programs and organizers of training opportunities through continued education units.

Purpose: This study was conducted to explore the effectiveness of speech to text as a form of biofeedback intervention for speech sound production in children with articulation disorders. Method: A multiple-baseline across-participants design was used for this study. Speech-to-text biofeedback was implemented with three children aged 7-9 years who demonstrated consonantal articulation errors. Data regarding accuracy of target phoneme production were repeatedly collected across baseline, treatment, and probe phases. Results: Based on the preliminary data collected and analyzed during this study, results suggest that speech to text is an effective approach for addressing speech sound production. All three participants demonstrated improvement in the production of their target phonemes. In addition, all of the participants maintained their skills posttreatment. Conclusions: The results of this study provide initial support for the use of speech to text for children who demonstrate articulation disorders. Implications for future research and practice based on the results are discussed.

Purpose: Although mobile apps are used extensively by speech-language pathologists, evidence for app-based treatments remains limited in quantity and quality. This study investigated the efficacy of app-based visual-acoustic biofeedback relative to nonbiofeedback treatment using a single-case randomization design. Because of COVID-19, all intervention was delivered via telepractice. Method: Participants were four children aged 9-10 years with residual errors affecting American English /[voiced alveolar approximant]/. Using a randomization design, individual sessions were randomly assigned to feature practice with or without biofeedback, all delivered using the speech app "Speech Therapist's App for /r/ Treatment." Progress was assessed using blinded listener ratings of word probes administered at baseline, posttreatment, and immediately before and after each treatment session. Results: All participants showed a clinically significant response to the overall treatment package, with effect sizes ranging from moderate to very large. One participant showed a significant advantage for biofeedback over nonbiofeedback treatment, although the order of treatment delivery poses a potential confound for interpretation in this case. Conclusions: While larger scale studies are needed, these results suggest that app-based treatment for residual errors can be effective when delivered via telepractice. These results are compatible with previous findings in the motor learning literature regarding the importance of treatment dose and the timing of feedback conditions.

Improving academic grades within the core areas of English, Science and Mathematics has had a lot of previous research interest, but research has tended to mostly focus on students who are failing, non-athletically talented students or student athletes at collegiate level. The particular needs of athletically talented secondary school students who are academically underperforming have so far been neglected. This study addressed this issue by measuring the outcome of academic grades in these three core areas. Method: During a six week intervention programme, ninety four students were separated into 4 groups--control, heart rate variability biofeedback, performance psychology skills training and a combination of these two interventions. Changes in self-efficacy and self-regulation for all students were also measured. Results: Significant pre-post intervention differences in all academic subjects and generalised self-efficacy were found when compared to the control group. Results also showed that a combination of interventions with medium-large effect size was more effective in improving academic results than the single interventions on their own. All interventions improved self-efficacy, but were not significantly different from each other. Self-efficacy was found not to have any interaction effects. Conclusion: Sport psychological skills training can help student-athletes achieve higher scholastic grades and aid mindfulness intervention. Mindfulness on its own was not found to be the most effective intervention, and as such should be used as an adjunct to other psychological methods. Psychological skills training (PST) may help students generalize approaches used in sport to the academic arena.

College students experience high levels of anxiety and stress, resulting in academic, interpersonal, and functional challenges. Despite awareness of anxiety and stress amongst students, universities and colleges fail to meet their mental health needs. Neurofeedback (NFB) training, a noninvasive approach designed to regulate brain processes to mitigate anxiety and stress-based symptoms, is an innovative option to help college students. A pre-posttest control group quasi-experimental design was implemented to measure whether a treatment group reported differences in anxiety and stress (as measured by the Beck Anxiety Inventory [BAI], Perceived Stress Scale [PSS], and Social Anxiety Thought [SAT] questionnaire) as compared to a waitlist control group. Results indicated significant decreases in SAT and PSS scores between groups, with no significant difference for BAI scores. Additionally, no significant differences were found over time between groups, regardless of gender. Limitations and future recommendations are explored.

Objective: Theory suggests that impaired executive functioning (EF) might explain several symptoms of autism spectrum disorder (ASD) in children. However, only a few studies have examined the efficacy of EF training for the children using randomized control trial designs, and only two of them found significant benefits of the training. Method: We designed Comprehensive Attention Training System (CATS), and tested this new EF intervention for children with ASD in a small-sampled randomized controlled trial. Twenty-five children with ASD aged six to twelve were randomly assigned to either the CATS or the control training and were assessed pre- and post-training. Results: Relative to the control group, the CATS group improved on EF as measured by the trail-making test, avoiding perseverative errors, and forming conceptual responses in the Wisconsin Card Sorting Task. There were also indications that CATS contributed to long-term communication skills as measured by the Vineland adaptive behavior scales. Conclusions: We report preliminary evidence that the CATS intervention may improve the EF of school-aged children with ASD compared to a control intervention. We discuss the results in terms of their generalizability to other developmental disorders.