Worked Examples Moderate the Effect of Math Learning Anxiety on Children's Math Learning and Engagement During the COVID-19 Pandemic

We investigated whether worked examples could be used to reduce cognitive load on mathematics learners who may have reduced available cognitive resources due to experiencing anxiety or excess stress. Across 2 days, 280 fifth-grade students learned from a difficult lesson on ratio, half of whom reviewed worked examples at key problem-solving opportunities during instruction. We also measured two sources of students' worry during learning: math anxiety and worries about learning during the pandemic. We explored the attentional and affective effects of worked examples and worries in addition to their effects on learning. Results suggest that math anxiety, but not pandemic learning worries, negatively predicted procedural and conceptual learning from the lesson. In line with previous research and cognitive load theory, math anxiety also predicted greater mind wandering during testing and lower situational interest during learning. Critically, reviewing worked examples during learning mitigated these effects on learning and engagement. Pandemic-related learning worries were unrelated to learning outcomes but did predict affective and motivational outcomes. Educational implications are discussed.

Zooming in or zoning out: examining undergraduate learning experiences with zoom and the role of mind-wandering

The COVID-19 pandemic necessitated a systematic change in course modalities due to the nationwide suspension of in-person instruction, resulting in the transition to emergency remote distance learning via Zoom. This transition certainly facilitated affordances of flexibility and continuity, but with it brought issues of unfamiliarity, lack of confidence, anxiety, distractions, and validity from both the instructors and the student perspectives. This in situ study aimed to better understand the students' learning experiences with Zoom by assessing the social, cognitive, and behavioral factors influencing learner's mind-wandering and its effect on online engagement. Undergraduate students from 14 classes across two research institutions in California (N = 633) were recruited to participate in an online survey while distance learning through a pandemic. Structural equation modeling was used to conduct a path analysis to explain the factors impacting students' online engagement mediated by students' frequency to mind-wander. Study findings revealed that (1) self-efficacy and trait anxiety had significant direct effects on students' mind-wandering;(2) self-efficacy, trait anxiety, task-value beliefs, and mind-wandering had significant direct effects on students' online engagement;and finally (3) the frequency of students' mind-wandering partially mediated the relationship between self-efficacy and engagement and between trait anxiety and engagement. Identifying these structural relationships further confirmed our hypotheses on sources contributing to students' mind-wandering while learning remotely, provided insights into potential mechanisms underpinning students' online engagement, and suggests practical pedagogical learning experience design recommendations for instructors to immediately implement while teaching and learning with Zoom..

Investigating reading from screens and mind wandering in the context of standards of coherence

Purpose: The purpose of this study was to examine if reading purpose (study or entertainment) varied the effect of reading medium on comprehension and accuracy of perceptions of comprehension. A secondary purpose was to examine how mind wandering relates to reading medium and reading purpose. An unanticipated purpose was examining the role of emergency remote COVID-19 instruction on reading comprehension, mind wandering, as well as both preference for and use of screens and paper. Methods: In this study, undergraduate students (N = 133) were randomly assigned to reading purposes of study or entertainment as well as reading from paper (from a book) or screens (from an iPad). Results: Neither reading medium nor purpose had reliable differences in performance on the text comprehension assessment, metacomprehension, or mind wandering. Reading from one's preferred medium appeared to be related to more accurate metacomprehension. Exploratory analyses indicated less studying from paper and more task-unrelated thoughts while reading from screens after the COVID-19 learning changes. Conclusions: Reading medium may possibly have less effect on comprehension when readers have purposes for reading and the haptic experience of reading is similar by medium. Medium effects on metacomprehension and mind wandering may vary depending on characteristics of the reader. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The relationship between schizotypal personality features and mind wandering among college students during COVID-19 pandemic: A moderator of depression.

Introduction: Although the impact of the COVID-19 pandemic on people's mental health has been well documented in many studies, the schizotypal personality features in the general population have not received sufficient attention. Methods: Study 1 is a longitudinal study tracking changes in schizotypal personality features among college students during the COVID-19 pandemic. A total of 153 Chinese college students were assessed using the Schizotypal Personality Questionnaire. Study 2 explored the relationship between schizotypal personality features, mind wandering, and depression. A total of 557 college students completed the Schizotypal Personality Questionnaire, the Beck Depression Inventory, and the Mind-Wandering Questionnaire during the COVID-19 pandemic. Results: Study 1 results showed that the scores from later stages in the pandemic were significantly higher than those from the initial stages on each dimension of schizotypal personality, which means that the schizotypal personality features became more obvious during the COVID-19 pandemic. Study 2 results showed that there was a positive correlation between schizotypal personality features, depression, and mind wandering. Discussion: Depression played a moderating role in the relationship between schizotypal personality features and mind wandering. The schizotypal personality features of college students increase during COVID-19; it has a positive relationship with mind wandering; depression moderates the relationship. We discussed these findings and provided some suggestions about future research.

Lapses in the Person Radar: ADHD Symptoms Predict Difficulty in Interpersonal Distancing.

OBJECTIVE: Across contexts, from social cognition to the COVID-19 pandemic response, individual variation in the regulation of interpersonal distance has typically been viewed as a voluntary choice. Here we examine the frequency of unintentional lapses in interpersonal distancing, and their relationship with childhood ADHD symptoms. METHOD: We administered a novel measure of difficulty with interpersonal distancing across three undergraduate samples (total N = 1,225), in addition to measures of recalled childhood ADHD symptoms, mind wandering, and hyperfocus. RESULTS: Almost all (>97%) participants reported unintentional lapses in maintaining interpersonal distance, with 16% experiencing such lapses frequently. Thirty percent of the variance in these reports was accounted for by attentional traits: Inattentive and hyperactive/impulsive ADHD symptoms jointly predicted difficulties with interpersonal distancing, with the former relationship fully mediated by hyperfocus and spontaneous mind wandering. CONCLUSION: Both inattentive and hyperactive/impulsive ADHD symptoms confer vulnerability to frequent unintentional lapses in interpersonal distancing.

Feature Selection Mechanism for Attention Classification using Gaze Tracking Data

The Covid-19 outbreak has caused disruptions in the education sector, making remote education the dominant mode for lecture delivery. The lack of visual feedback and physical interaction makes it very hard for teachers to measure the engagement level of students during lectures. This paper proposes a time-bounded window operation to extract statistical features from raw gaze data, captured in a remote teaching experiment and link them with the student's attention level. Feature selection or dimensionality reduction is performed to reduce the convergence time and overcome the problem of over-fitting. Recursive feature elimination (RFE) and SelectFromModel (SFM) are used with different machine learning (ML) algorithms, and a subset of optimal feature space is obtained based on the feature scores. The model trained using the optimal feature subset showed significant improvement in accuracy and computational complexity. For instance, a support vector classifier (SVC) led 2.39% improvement in accuracy along with approximately 66% reduction in convergence time. © 2022 IEEE.

Day-to-day relationships between mind-wandering, sleep quality, and mood across three intensive longitudinal studies

Objectives: Impaired subjective sleep quality is associated with lower cognitive performance and poor mental health. Mind-wandering (MW) or daydreaming is a state of the human mind when the focus of attention shifts from the ongoing task and the external environment toward internally generated cognitive and emotional processes. Cross-sectional research has shown that poor sleep and negative mood are associated with increased MW, however, it is unknown whether these relations are uni- or bidirectional. Method(s): We investigated the day-to-day dynamics between subjective sleep quality, mind-wandering, and mood across three experience sampling studies in university student samples. The first study included healthy individuals (N = 73,2758 observations) with medium or high trait schizotypy, the second sample included students with high dream recall frequency (N = 55,2078 observations), and the third contained a general student sample (N = 61,1119 observations) who were surveyed during the second and third waves of the Covid pandemic. Data were analyzed with mixed-effect modeling where we separated within and between-person effects. Result(s): Poor sleep quality predicted more MW during the day across all studies, and this relationship was more pronounced within than across individuals. However, if we included mood as a predictor (daytime or right after awakening) sleep quality was no longer significant. On the other hand, more MW significantly predicted lower sleep quality during the night, but the size of the effect was negligible. Elevated trait depression scores were significant predictors of worse sleep quality and more MW but again, if mood was included in the models, then higher trait depression was no longer significant. Conclusion(s): Our findings suggest a unidirectional association of poor sleep with lower mental health and mind-wandering. MW seems more affected by within-person fluctuations in sleep quality. These findings strengthen the evidence that striving for better sleep hygiene is key to functioning and being well during the day, even among healthy young adults.

Protocol for a randomized controlled trial of mindfulness-based stress reduction to improve attentional control in older adults (HealthyAgers trial).

BACKGROUND: Mindfulness meditation is a form of mind-body intervention that has increasing scientific support for its ability to reduce age-related declines in cognitive functioning, improve affective health, and strengthen the neural circuitry supporting improved cognitive and affective health. However, the majority of existent studies have been pilot investigations with small sample sizes, limited follow-up data, and a lack of attention to expectancy effects. Here, we present the study design of a Phase I/II, efficacy trial-HealthyAgers trial-that examines the benefits of a manualized mindfulness-based stress reduction program in improving attentional control and reducing mind-wandering in older adults. METHODS: One hundred fifty older adults (ages 65-85 years) will be randomized into one of two groups: an eight-week mindfulness program or an eight-week, placebo-controlled, lifestyle education program. Behavioral and neuroimaging assessments are conducted before and after the training. Participants are then invited to booster sessions once every three months for a period of 12 months with post-intervention follow-up assessments conducted at 6-months and 12-months. The primary outcomes for the study are behavioral measures of attentional control and mind-wandering. Additional, secondary outcomes include network strength in an a priori defined neuromarker of attentional control, fluid and everyday cognition, emotion regulation strategy use, and markers of inflammation. DISCUSSION: This study will establish the efficacy of a group-based, low-cost mind-body intervention for the inter-related facets of attentional control and mind-wandering in older adults. Strengths of this study include a well-designed, placebo-controlled comparison group, use of web/mobile application to track study adherence, and longitudinal follow-up. TRIAL REGISTRATION: Clinicaltrials.gov (# NCT03626532 ). Registered August 4, 2018.

EXECUTE: Exploring Eye Tracking to Support E-learning

The outbreak of the COVID-19 pandemic has caused unprecedented disruption to education and progressed remote teaching as a predominant model for delivering educational content. However, the online teaching and learning model has its challenges, such as the lack of technological tools to quantity the student attention and engagement with the learning content. This paper focuses on developing an e-learning framework for capturing and analysing the students' attention during remote teaching sessions and subsequently profiling their learning behaviour leveraging eye-tracking data. Our proposed eye-tracking solution deploys a webcam to capture and track raw gaze points that grant the user the freedom of natural head movement and scalability compared to conventional eye-tracking approaches. We derived various gaze metrics in conjunction with state-of the-art machine learning (ML) models like logistic regression, support vector machine and polynomial regression to classify the student attention with an accuracy above 91%. Furthermore, our findings can help in the early detection and diagnosis of attention deficit hyperactivity disorder (ADHD) among students, thus supporting their learning journeys by creating an adaptive learning environment tailored to their needs. © 2022 IEEE.

The role of trataka in ameliorating visual strain and promoting psychological well-being during prolonged use of digital displays: A randomized controlled trial.

BACKGROUND: The prolonged usage of digital displays leads to visual strain and, in turn, impairs psychological well-being. The practice of Yoga is said to enhance psychological functions and reduce visual strain. OBJECTIVE: The present study assessed the effect of the trataka (Yogic visual concentration) practice on the visual strain, mind-wandering, and mindfulness. METHODS: One hundred six volunteers equally distributed in the experimental and control groups completed the study. Visual Fatigue Scale (VFS), visual symptoms checklist (VSC), mind-wandering questionnaire (MWQ), and State Mindfulness Attention Awareness Scale (SMAAS) were administered at baseline and at the end of two weeks. RESULTS: All variables were similar at the baseline in both groups, and significant differences were noted at the end of two weeks between both groups. There was a significant reduction in VFS and VSC scores, MWQ, along with an increase in SMAAS scores in the experimental group. Although there were significant changes in VFS, MWQ, and SMAAS in the control group, the magnitude of change was minimal. CONCLUSIONS: The practice of trataka was found to reduce the visual strain, mind wandering while improving the state mindfulness. The practice can be implemented to mitigate visual strain and associated psychological implications due to prolonged exposure to digital displays, which has increased during the COVID-19 pandemic.

Distressed to Distracted: Examining Undergraduate Learning and Stress Regulation During the COVID-19 Pandemic

Undergraduates' distress has increased dramatically since the COVID-19 pandemic's onset, raising concerns for academic achievement. Yet little is known about the mechanisms by which pandemic-related distress may affect students' learning and performance, and consequently, how we might intervene to promote student achievement despite the continuing crisis. Across two studies with nearly 700 undergraduates, we highlight the mediating role of distraction: undergraduates higher in COVID-19 distress saw lower learning gains from an asynchronous neuroscience lesson due to increased mind wandering during the lesson. We replicate and extend this finding in Study 2: probing what pandemic-related stressors worried students and revealing systematic differences among students of marginalized identities, with largest impacts on first-generation, Latinx women. We also examined whether stress reappraisal or mindfulness practices may mitigate the observed distress-to-distraction pathway. Only mindfulness reduced mind wandering, though this did not translate to learning. We conclude with implications for practice and future research.

When Eyes Wander Around: Mind-Wandering as Revealed by Eye Movement Analysis with Hidden Markov Models.

Mind-wandering has been shown to largely influence our learning efficiency, especially in the digital and distracting era nowadays. Detecting mind-wandering thus becomes imperative in educational scenarios. Here, we used a wearable eye-tracker to record eye movements during the sustained attention to response task. Eye movement analysis with hidden Markov models (EMHMM), which takes both spatial and temporal eye-movement information into account, was used to examine if participants' eye movement patterns can differentiate between the states of focused attention and mind-wandering. Two representative eye movement patterns were discovered through clustering using EMHMM: centralized and distributed patterns. Results showed that participants with the centralized pattern had better performance on detecting targets and rated themselves as more focused than those with the distributed pattern. This study indicates that distinct eye movement patterns are associated with different attentional states (focused attention vs. mind-wandering) and demonstrates a novel approach in using EMHMM to study attention. Moreover, this study provides a potential approach to capture the mind-wandering state in the classroom without interrupting the ongoing learning behavior.

Social Robots for Evaluating Attention State in Older Adults.

Sustained attention is essential for older adults to maintain an active lifestyle, and the deficiency of this function is often associated with health-related risks such as falling and frailty. The present study examined whether the well-established age-effect on reducing mind-wandering, the drift to internal thoughts that are seen to be detrimental to attentional control, could be replicated by using a robotic experimenter for older adults who are not as familiar with online technologies. A total of 28 younger and 22 older adults performed a Sustained Attention to Response Task (SART) by answering thought probes regarding their attention states and providing confidence ratings for their own task performances. The indices from the modified SART suggested a well-documented conservative response strategy endorsed by older adults, which were represented by slower responses and increased omission errors. Moreover, the slower responses and increased omissions were found to be associated with less self-reported mind-wandering, thus showing consistency with their higher subjective ratings of attentional control. Overall, this study demonstrates the potential of constructing age-related cognitive profiles with attention evaluation instruction based on a social companion robot for older adults at home.

A Multilevel Approach to Explore the Wandering Mind and Its Connections with Mindfulness and Personality.

We propose an innovative approach to study Mind Wandering (MW), and we present an application of this methodology to study the effects of a Mindfulness-Oriented Meditation (MOM) training. We assessed individuals' MW through a free association task and an attentional task with thought-probes combined with a questionnaire for the phenomenological characteristic of each MW episode. We used the Temperament and Character Inventory to assess participants' personality traits and their associations with measures of MW. Our study was limited by the course of the Covid-19 pandemic and only nine healthy young individuals completed the testing sessions, which were carried out before and after the MOM training. After MOM, participants showed fewer repetitive and self-relevant thoughts and indices of better performance in the attentional task; the linguistic analysis of participants' free associations showed lower verbal productivity and a decrease in utterances that expressed anxiety/stress. Overall, we foresee that future studies could replicate our preliminary findings with larger samples and in a period without a global health emergency. This multilevel approach to the study of MW may allow researchers to gain a broader view of the phenomenon, considering its occurrence, qualitative characteristics, impact on cognitive tasks, malleability via mindfulness or other psychological interventions, and relations with personality traits.