The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise f...The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise from learning struggles or failures.Effective transitions to engagement occur upon problem resolution,while unresolved issues lead to frustration and subsequent boredom.This study proposes a Convolutional Neural Networks(CNN)based approach utilizing the Multi⁃source Academic Affective Engagement Dataset(MAAED)to categorize facial expressions into boredom,confusion,frustration,and yawning.This method provides an efficient and objective way to assess student engagement by extracting features from facial images.Recognizing and addressing negative affective states,such as confusion and boredom,is fundamental in creating supportive learning environments.Through automated frame extraction and model comparison,this study demonstrates reduced loss values with improving accuracy,showcasing the effectiveness of this method in objectively evaluating student engagement.Monitoring facial engagement with CNN using the MAAED dataset is essential for gaining insights into human behaviour and improving educational experiences.展开更多
Objectives:Teachers are facing unprecedented new challenges leading them to face an increasing number of tasks that are not part of their job,as well as having to cope with the additional skills acquisition that comes...Objectives:Teachers are facing unprecedented new challenges leading them to face an increasing number of tasks that are not part of their job,as well as having to cope with the additional skills acquisition that comes with non-traditional forms of teaching and learning,and increased work pressure leading to an increase in the rate of teachers leaving the profession.Therefore,this study aims to explore the mechanism of the career calling on job burnout through career adaptability and work engagement.Methods:This study conducted a cross-sectional survey of 465 primary and secondary school teachers(PSST)in China's Mainland from the perspective of work adjustment and used structural equation modeling(SEM)to examine the mediating roles of career adaptability and work engagement in the relationship between teachers’career calling and job burnout.Results:The results show that PSSTs are above average in career calling,career adaptability,and work engagement,while job burnout is below average.A significant positive or negative correlation exists between career calling,career adaptability,work engagement,and job burnout.The result of path analysis indicates that career adaptability and work engagement exert an indirect influence on the job burnout of PSST through three paths:namely,the independent intermediary role of career adaptability(EV=−0.144),the independent intermediary role of work engagement(EV=0.172)and the chain intermediary role of the two(EV=0.176).Conclusion:This study emphasizes the importance of career adaptability and work engagement in teacher development in regulating career calling and job burnout.Therefore,on the one hand,we think that if managers want to reduce teachers’job burnout,they need to pay more attention to teachers’career adaptability and work engagement,rather than relying solely on teachers’career calling.On the other hand,it is to remind teachers not to rely on their adjustment to adapt to the work,but also to need outside help as much as possible.展开更多
In Chinese tradition,the term“耄耋”(Mào Dié)refers to those in their nineties,a stage of life associated with wisdom and longevity.As the Bank of China Singapore Branch(BOCSG)approaches its 90th anniversar...In Chinese tradition,the term“耄耋”(Mào Dié)refers to those in their nineties,a stage of life associated with wisdom and longevity.As the Bank of China Singapore Branch(BOCSG)approaches its 90th anniversary,this expression captures the spirit of an institution that has stood the test of time.Since its establishment in Singapore in 1936,the BOCSG has maintained a strong and enduring presence not only in Singapore but across Southeast Asia,serving as a bridge between China and Singapore,and more broadly,between China and the ASEAN region.Its continued growth has been underpinned by the mutual prosperity of both economies and the strength of their longstanding and harmonious ties.展开更多
This study examines how demographic factors shape engagement with virtual cultural communities and awareness of emerging economic models.Using survey data from 202 participants,descriptive statistics,independent sampl...This study examines how demographic factors shape engagement with virtual cultural communities and awareness of emerging economic models.Using survey data from 202 participants,descriptive statistics,independent samples t-tests,and One-way Analysis of Variance(ANOVA)with Least Significant Difference(LSD)post-hoc analyses revealed significant influences of age,education,and occupation.No significant gender differences were found.Individuals aged 26-45 demonstrated higher virtual community participation(F=3.439,p=0.01)and emerging model awareness(F=2.834,p=0.026)than younger cohorts(18-25 years and below).Respondents with postgraduate education exhibited superior understanding of emerging economic models(F=3.296,p=0.022)and their nexus with cultural values(F=6.196,p<0.001)compared to those with lower educational attainment.Significant occupational variations existed in virtual participation(F=4.001,p=0.008)and economic model awareness(F=5.611,p=0.001),with enterprise employees and civil servants scoring higher than students and freelancers.These findings underscore the critical roles of life stage,educational investment,and professional context in shaping digital cultural behaviors and economic cognition,offering valuable insights for platform design,educational strategies,and policy development in the digital cultural economy.展开更多
This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the im...This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the impact of environmental and infrastructural factors on tourism development,few studies have examined the interactive effects of community engagement in maximizing these benefits.This study aims to fill this gap by providing empirical evidence from Huangma Village,Jiangxi Province,China.A quantitative research design was adopted,using Partial Least Squares-Structural Equation Modeling(PLS-SEM)in SmartPLS to test the hypothesized relationships.Data were collected from 231 respondents,including local residents,tourism business owners,government officials,and infrastructure developers,through a structured survey questionnaire.The results confirm that land suitability and infrastructure investment significantly enhance tourism potential,with community engagement playing a crucial mediating role.The findings suggest that tourism success depends not only on physical and economic factors but also on active local participation in tourism-related initiatives.This study contributes to the literature by integrating environmental,infrastructural,and social dimensions of tourism development.The findings offer practical insights for policymakers and tourism planners,emphasizing the need for sustainable land management,strategic infrastructure investment,and participatory tourism governance to maximize tourism potential.展开更多
During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the li...During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the link between hybrid work models and the performance of younger workers(millennials and Gen-Z)in Kerala’s IT sector.Based on a survey of 155 employees,the study shows that the hybrid work model has a significant impact on performance.While basic technologies do not have a major role,the study emphasizes that employee engagement is a key factor.As hybrid work options become more common,they will continue to shape the future of work.展开更多
Background:Work engagement(WE)is critical to quality primary healthcare delivery.However,limited research has explored its levels and determinants among healthcare professionals in low-and middle-income countries.This...Background:Work engagement(WE)is critical to quality primary healthcare delivery.However,limited research has explored its levels and determinants among healthcare professionals in low-and middle-income countries.This study assessed the levels and correlates of work engagement among physician assistants(PAs)in Ghana.Methods:A cross-sectional study was conducted among 439 PAs from October to December 2024.Participants were recruited via emails,social media platforms,and posters featuring study links and scannable questionnaire codes.WE was measured using the validated Utrecht Work Engagement Scale questionnaire.Results:Overall,WE levels were average,with similar trends across the three subdomains.In the bootstrapped multivariate linear regression model,anxiety was negatively associated with WE(β=-0.49,95%confidence interval[CI]:-0.77 to-0.21).Conversely,working in an urban area(β=0.36,95%CI:0.05 to 0.67),holding the rank of PA/Senior PA(β=0.27,95%CI:0.03 to 0.52),reporting good self-rated health(β=0.54,95%CI:0.19 to 0.88),and working at health centers(β=0.86,95%CI:0.22 to 1.50)were positively associated with WElevels.Conclusion:WE levels are average in the study sample,highlighting the need for strategic interventions to improve and sustain the healthcare workforce's motivation and performance.Addressing workplace stressors,enhancing professional development opportunities,and fostering supportive work environments could improve engagement among PAs and healthcare professionals in general.Strengthening WE is essential for ensuring resilient quality primary healthcare systems and achieving the goals of universal health coverage.展开更多
BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts betwee...BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts between work and family roles,significantly impacting their professional involvement.The concept of work-family facilitation,highlighting mutual facilitation between work and family domains,has considerable theoretical and practical significance but remains underexplored in this context.This study integrates ecosystem theory,spillover theory,social exchange theory,and two-factor theory to systematically explore the mechanism through which work-family facilitation influences work engagement.Specifically,it investigates the roles of psychological resilience and job satisfaction in this relationship,providing a novel theoretical perspective and empirical evidence.AIM To systematically explore the mechanism through which work-family facilitation influences work engagement among PE teachers.METHODS A cross-sectional questionnaire survey was conducted among 436 PE teachers.Structural equation modeling was used to examine relationships among variables and assess mediating effects.RESULTS Work-family facilitation positively correlated with psychological resilience,job satisfaction,and work engagement(r=0.323-0.705,P<0.001).Psychological resilience and job satisfaction fully mediated the relationship between work-family facilitation and work engagement,demonstrating a significant chain mediation effect.CONCLUSION This study confirms that promoting work-family facilitation enhances psychological resilience and job satisfaction,thereby significantly boosting work engagement among PE teachers.These findings underline the importance of targeted interventions to enhance work-family resources,psychological resilience,and job satisfaction,contributing to theoretical advancements and practical implications for educational management.展开更多
Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditiona...Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.展开更多
This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised ...This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.展开更多
This review aims to gain a deeper understanding of the current interventions used in high-income and low-and middle-income countries worldwide on treatment engagement among persons with severe mental illnesses.Treatme...This review aims to gain a deeper understanding of the current interventions used in high-income and low-and middle-income countries worldwide on treatment engagement among persons with severe mental illnesses.Treatment engagement involves cultivating therapeutic partnerships to address patients’unique needs and challenges.This multifaceted process requires sensitivity,collaboration,and a tailored approach to promote positive outcomes.Effective treatment engagement reduces the chances of relapse and rehospitalization and helps individuals steer through their daily lives and social relationships.Through literature analysis,it was found that individual,situational,and environmental factors affected treatment engagement.Community nurses are crucial in promoting behavioral changes by engaging patients and applying tailor-made interventions.Applying problem-solving,coping skills,and strategies to address factors influencing adherence,motivational interviewing,and telephone follow-ups yielded significant results.The interventions recommended in community settings are tele-aftercare programs and home visits to address issues of dropped-out persons with severe mental illnesses and ensure continuity of treatment.Accessible,nonstigmatizing,non-coercive,informal,and appropriate services are suggested.These interventions can improve treatment engagement,medication adherence,and therapeutic alliance,thereby reducing symptoms and improving patients’quality of life.展开更多
This study explored the role of learning engagement in the relationship between academic self-efficacy and self-directed learning ability among nursing students.Participants were 328 Chinese nursing students(male=11.3...This study explored the role of learning engagement in the relationship between academic self-efficacy and self-directed learning ability among nursing students.Participants were 328 Chinese nursing students(male=11.3%,female=88.7%;mean age=20.86 years;SD=1.75 years).The participants completed surveys on academic self-efficacy(Academic Self-efficacy Scale),learning engagement(Learning Engagement Scale),and self-directed learning ability(Self-directed Learning Instrument).Hayes regression-based PROCESS macro analysis revealed that learning engagement mediated the relationship between academic self-efficacy and self-directed learning ability.The hierarchical regression analysis showed higher academic self-efficacy to be associated with self-directed learning ability.Additionally learning engagement was associated with higher self-directed learning ability.Based on thesefindings,there is a need for interventions to improve students’self-directed learning ability through increasing their academic self-efficacy and enhancing learning engagement.展开更多
This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship....This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship.A total of 656 Chinese junior high school students(females=361,mean age=13.75,SD=0.98)completed validated measures of teacher-student relationship quality,student-student relationship quality,student engagement,and bullying victimization.Regression analysis results indicated that higher teacher-student relationship quality predicted a lower risk of student bullying victimization.Serial mediating effect testing of the student-student relationship quality and student engagement revealed that these factors fully mediated the relationship between teacher-student relationship quality and bullying victimization,resulting in a lower risk of bullying victimization.The results showed that student-student relationship quality had a more substantial mediating effect than student engagement.Thefindings support the Socio-Ecological Framework,suggesting that within the Microsystem,interactions between individuals and their immediate environments significantly impact their behavior.Specifically,thesefindings suggest that good teacher-student relationships can enhance the quality of student-student relationships and student engagement,thereby preventing and reducing the occurrence of bullying victimization.展开更多
Good mental well-being is necessary for achievement in science at any level.There are extrinsic factors that have the potential to determine a learner’s mental well-being,and the role of the parent(s)cannot be underm...Good mental well-being is necessary for achievement in science at any level.There are extrinsic factors that have the potential to determine a learner’s mental well-being,and the role of the parent(s)cannot be undermined.Therefore,this study examined the relationships between parental engagement(PE),parents’attitude to science(PAS),and mental well-being(MWb)among junior science students.This descriptive survey involved a population of Junior Secondary Three(3)students studying Basic Science in public co-educational schools.A sample of three hundred(300)respondents was randomly drawn from 10 schools within the metropolis.Quantitative data were sourced using three validated questionnaires and analyzed using descriptive and inferential statistics.The research showed that PE(2.19)and PAS(2.13)are relatively high,while MWb(2.51)is moderately normal.The influence of PE and PAS on MWb is significant.Both PE and PAS have a significant positive relationship with MWb.Also,PE and PAS were found to jointly contribute to students’MWb.In conclusion,PE and PAS have implications for the child’s mental well-being and ultimate success in science.We,therefore,recommend that more parental engagement be encouraged by improving sensitization,and orientation programs could be organized for parents of science students.This may provide an avenue for parents to be better equipped to support their young scientists.展开更多
The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%fem...The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%females;38.9%with 1–5 years of experience;78.3%in the 18–40 age range).They self-reported coping strategies,abusive supervision,work engagement,and helping behaviors.Structural equation model results showed that abusive supervision to be associated with lower employee helping behaviors.Work engagement was higher with employees’helping behaviors.Engaged employees would unleash helping behaviors.Work engagement mediated the relationship between abusive supervision and helping behaviors,lowering the abusive supervision risk.Finally,avoidance of contact exacerbated the moderated abusive supervision–work engagement relationship for lower work engagement,while support-seeking and reframing exerted no moderation role.Findings suggest that avoiding an immediate supervisor exacerbates abusive supervision.Hence,applying behavior-based interviews when hiring supervisors would be of strategic advantage to employees’productivity.展开更多
Objective This study aims to explore the complex relationship between social engagement and depressive symptoms among older adults in China,focusing particularly on the moderating role of marital status.Methods This s...Objective This study aims to explore the complex relationship between social engagement and depressive symptoms among older adults in China,focusing particularly on the moderating role of marital status.Methods This study used data from the latest Chinese Longitudinal Healthy Longevity Survey(CLHLS).The analysis used the latent class analysis to delineate personality clusters and hierarchical linear regression,supplemented by the PROCESS macro,to investigate the effects of social engagement and marital status on depressive symptoms.Results The analysis encompassed 7,789 respondents(mean age:82.53[s=11.20]years),with 54%female.The personality analysis categorized participants into four clusters,with the majority(77.60%)classified as Confident Idealists,who exhibited the lowest levels of depressive symptoms.Hierarchical linear regression analysis yielded several significant findings:Higher levels of social engagement were significantly associated with fewer depressive symptoms(t=-7.932,P<0.001,B=-0.463).Marital status was a significant factor;married individuals reported fewer depressive symptoms compared to their unmarried counterparts(t=-6.368,P<0.001,B=-0.750).There was a significant moderating effect of marital status on the relationship between social engagement and depressive symptoms(t=-2.092,P=0.037,B=-0.217).Conclusion This study demonstrates that,among Chinese older adults,both social engagement and marital status significantly influence depressive symptoms.Higher social engagement,particularly in other activities like doing household chores,gardening,reading newspapers or books,and playing cards or Mahjong,is associated with fewer depressive symptoms,especially among married individuals.展开更多
Over the past several decades,significant scientific progress in xenotransplantation has brought the field to the threshold of clinical trials.In the past 3 years in the United States,experimental pig kidney and heart...Over the past several decades,significant scientific progress in xenotransplantation has brought the field to the threshold of clinical trials.In the past 3 years in the United States,experimental pig kidney and heart xenotransplantation have been performed on human subjects recently declared dead by neurological criteria(decedents).In addition,two pig heart transplants have been carried out in living patients under the United States Food and Drug Administration's expanded access guidelines.However,though there has been a flurry of activity there remain unanswered questions regarding how the public views xenotransplantation,what concerns may exist,and how to address these concerns in a meaningful way.This paper aims to underscore the importance of public engagement in xenotransplantation,emphasizing the ongoing need for studies to assess public opinions.The current evidence on public engagement studies is reviewed and gaps in our understanding are identified.We propose practical steps to advance this field.Additional studies to determine the extent of racial/ethnic differences in attitudes to xenotransplantation should be conducted.Empirical and descriptive analysis of certain religious viewpoints—especially minority faiths—would be valuable.As public engagement is an important aspect of public acceptance of novel research that is accompanied by risk,we suggest that xenotransplantation biotechnology companies might consider leading the way in funding this research.展开更多
Automatic detection of student engagement levels from videos,which is a spatio-temporal classification problem is crucial for enhancing the quality of online education.This paper addresses this challenge by proposing ...Automatic detection of student engagement levels from videos,which is a spatio-temporal classification problem is crucial for enhancing the quality of online education.This paper addresses this challenge by proposing four novel hybrid end-to-end deep learning models designed for the automatic detection of student engagement levels in e-learning videos.The evaluation of these models utilizes the DAiSEE dataset,a public repository capturing student affective states in e-learning scenarios.The initial model integrates EfficientNetV2-L with Gated Recurrent Unit(GRU)and attains an accuracy of 61.45%.Subsequently,the second model combines EfficientNetV2-L with bidirectional GRU(Bi-GRU),yielding an accuracy of 61.56%.The third and fourth models leverage a fusion of EfficientNetV2-L with Long Short-Term Memory(LSTM)and bidirectional LSTM(Bi-LSTM),achieving accuracies of 62.11%and 61.67%,respectively.Our findings demonstrate the viability of these models in effectively discerning student engagement levels,with the EfficientNetV2-L+LSTM model emerging as the most proficient,reaching an accuracy of 62.11%.This study underscores the potential of hybrid spatio-temporal networks in automating the detection of student engagement,thereby contributing to advancements in online education quality.展开更多
Automatically detecting learners’engagement levels helps to develop more effective online teaching and assessment programs,allowing teachers to provide timely feedback and make personalized adjustments based on stude...Automatically detecting learners’engagement levels helps to develop more effective online teaching and assessment programs,allowing teachers to provide timely feedback and make personalized adjustments based on students’needs to enhance teaching effectiveness.Traditional approaches mainly rely on single-frame multimodal facial spatial information,neglecting temporal emotional and behavioural features,with accuracy affected by significant pose variations.Additionally,convolutional padding can erode feature maps,affecting feature extraction’s representational capacity.To address these issues,we propose a hybrid neural network architecture,the redistributing facial features and temporal convolutional network(RefEIP).This network consists of three key components:first,utilizing the spatial attention mechanism large kernel attention(LKA)to automatically capture local patches and mitigate the effects of pose variations;second,employing the feature organization and weight distribution(FOWD)module to redistribute feature weights and eliminate the impact of white features and enhancing representation in facial feature maps.Finally,we analyse the temporal changes in video frames through the modern temporal convolutional network(ModernTCN)module to detect engagement levels.We constructed a near-infrared engagement video dataset(NEVD)to better validate the efficiency of the RefEIP network.Through extensive experiments and in-depth studies,we evaluated these methods on the NEVD and the Database for Affect in Situations of Elicitation(DAiSEE),achieving an accuracy of 90.8%on NEVD and 61.2%on DAiSEE in the fourclass classification task,indicating significant advantages in addressing engagement video analysis problems.展开更多
文摘The dynamics of student engagement and emotional states significantly influence learning outcomes.Positive emotions resulting from successful task completion stand in contrast to negative affective states that arise from learning struggles or failures.Effective transitions to engagement occur upon problem resolution,while unresolved issues lead to frustration and subsequent boredom.This study proposes a Convolutional Neural Networks(CNN)based approach utilizing the Multi⁃source Academic Affective Engagement Dataset(MAAED)to categorize facial expressions into boredom,confusion,frustration,and yawning.This method provides an efficient and objective way to assess student engagement by extracting features from facial images.Recognizing and addressing negative affective states,such as confusion and boredom,is fundamental in creating supportive learning environments.Through automated frame extraction and model comparison,this study demonstrates reduced loss values with improving accuracy,showcasing the effectiveness of this method in objectively evaluating student engagement.Monitoring facial engagement with CNN using the MAAED dataset is essential for gaining insights into human behaviour and improving educational experiences.
基金funded by Humanities and Social Sciences Foundation and Natural Science Foundation of Nanjing University of Posts and Telecommunications(NYY222055,NY224176)General Subject of Educational Science Planning in Jiangsu Province(C/2024/01/76)National Natural Science Foundation of China(62307025).
文摘Objectives:Teachers are facing unprecedented new challenges leading them to face an increasing number of tasks that are not part of their job,as well as having to cope with the additional skills acquisition that comes with non-traditional forms of teaching and learning,and increased work pressure leading to an increase in the rate of teachers leaving the profession.Therefore,this study aims to explore the mechanism of the career calling on job burnout through career adaptability and work engagement.Methods:This study conducted a cross-sectional survey of 465 primary and secondary school teachers(PSST)in China's Mainland from the perspective of work adjustment and used structural equation modeling(SEM)to examine the mediating roles of career adaptability and work engagement in the relationship between teachers’career calling and job burnout.Results:The results show that PSSTs are above average in career calling,career adaptability,and work engagement,while job burnout is below average.A significant positive or negative correlation exists between career calling,career adaptability,work engagement,and job burnout.The result of path analysis indicates that career adaptability and work engagement exert an indirect influence on the job burnout of PSST through three paths:namely,the independent intermediary role of career adaptability(EV=−0.144),the independent intermediary role of work engagement(EV=0.172)and the chain intermediary role of the two(EV=0.176).Conclusion:This study emphasizes the importance of career adaptability and work engagement in teacher development in regulating career calling and job burnout.Therefore,on the one hand,we think that if managers want to reduce teachers’job burnout,they need to pay more attention to teachers’career adaptability and work engagement,rather than relying solely on teachers’career calling.On the other hand,it is to remind teachers not to rely on their adjustment to adapt to the work,but also to need outside help as much as possible.
文摘In Chinese tradition,the term“耄耋”(Mào Dié)refers to those in their nineties,a stage of life associated with wisdom and longevity.As the Bank of China Singapore Branch(BOCSG)approaches its 90th anniversary,this expression captures the spirit of an institution that has stood the test of time.Since its establishment in Singapore in 1936,the BOCSG has maintained a strong and enduring presence not only in Singapore but across Southeast Asia,serving as a bridge between China and Singapore,and more broadly,between China and the ASEAN region.Its continued growth has been underpinned by the mutual prosperity of both economies and the strength of their longstanding and harmonious ties.
文摘This study examines how demographic factors shape engagement with virtual cultural communities and awareness of emerging economic models.Using survey data from 202 participants,descriptive statistics,independent samples t-tests,and One-way Analysis of Variance(ANOVA)with Least Significant Difference(LSD)post-hoc analyses revealed significant influences of age,education,and occupation.No significant gender differences were found.Individuals aged 26-45 demonstrated higher virtual community participation(F=3.439,p=0.01)and emerging model awareness(F=2.834,p=0.026)than younger cohorts(18-25 years and below).Respondents with postgraduate education exhibited superior understanding of emerging economic models(F=3.296,p=0.022)and their nexus with cultural values(F=6.196,p<0.001)compared to those with lower educational attainment.Significant occupational variations existed in virtual participation(F=4.001,p=0.008)and economic model awareness(F=5.611,p=0.001),with enterprise employees and civil servants scoring higher than students and freelancers.These findings underscore the critical roles of life stage,educational investment,and professional context in shaping digital cultural behaviors and economic cognition,offering valuable insights for platform design,educational strategies,and policy development in the digital cultural economy.
文摘This study examines the influence of land suitability and investment in facilities on tourism potential,with a particular focus on the mediating role of community engagement.While previous research has explored the impact of environmental and infrastructural factors on tourism development,few studies have examined the interactive effects of community engagement in maximizing these benefits.This study aims to fill this gap by providing empirical evidence from Huangma Village,Jiangxi Province,China.A quantitative research design was adopted,using Partial Least Squares-Structural Equation Modeling(PLS-SEM)in SmartPLS to test the hypothesized relationships.Data were collected from 231 respondents,including local residents,tourism business owners,government officials,and infrastructure developers,through a structured survey questionnaire.The results confirm that land suitability and infrastructure investment significantly enhance tourism potential,with community engagement playing a crucial mediating role.The findings suggest that tourism success depends not only on physical and economic factors but also on active local participation in tourism-related initiatives.This study contributes to the literature by integrating environmental,infrastructural,and social dimensions of tourism development.The findings offer practical insights for policymakers and tourism planners,emphasizing the need for sustainable land management,strategic infrastructure investment,and participatory tourism governance to maximize tourism potential.
文摘During the COVID-19 pandemic,most businesses adopted hybrid work arrangements,adapting to changing workplace demands.This study explores how Technologies 4.0(advanced technologies)and employee motivation affect the link between hybrid work models and the performance of younger workers(millennials and Gen-Z)in Kerala’s IT sector.Based on a survey of 155 employees,the study shows that the hybrid work model has a significant impact on performance.While basic technologies do not have a major role,the study emphasizes that employee engagement is a key factor.As hybrid work options become more common,they will continue to shape the future of work.
文摘Background:Work engagement(WE)is critical to quality primary healthcare delivery.However,limited research has explored its levels and determinants among healthcare professionals in low-and middle-income countries.This study assessed the levels and correlates of work engagement among physician assistants(PAs)in Ghana.Methods:A cross-sectional study was conducted among 439 PAs from October to December 2024.Participants were recruited via emails,social media platforms,and posters featuring study links and scannable questionnaire codes.WE was measured using the validated Utrecht Work Engagement Scale questionnaire.Results:Overall,WE levels were average,with similar trends across the three subdomains.In the bootstrapped multivariate linear regression model,anxiety was negatively associated with WE(β=-0.49,95%confidence interval[CI]:-0.77 to-0.21).Conversely,working in an urban area(β=0.36,95%CI:0.05 to 0.67),holding the rank of PA/Senior PA(β=0.27,95%CI:0.03 to 0.52),reporting good self-rated health(β=0.54,95%CI:0.19 to 0.88),and working at health centers(β=0.86,95%CI:0.22 to 1.50)were positively associated with WElevels.Conclusion:WE levels are average in the study sample,highlighting the need for strategic interventions to improve and sustain the healthcare workforce's motivation and performance.Addressing workplace stressors,enhancing professional development opportunities,and fostering supportive work environments could improve engagement among PAs and healthcare professionals in general.Strengthening WE is essential for ensuring resilient quality primary healthcare systems and achieving the goals of universal health coverage.
文摘BACKGROUND Enhancing work engagement among physical education(PE)teachers is crucial for building a strong sports nation and fostering educational advancement.However,PE teachers frequently experience conflicts between work and family roles,significantly impacting their professional involvement.The concept of work-family facilitation,highlighting mutual facilitation between work and family domains,has considerable theoretical and practical significance but remains underexplored in this context.This study integrates ecosystem theory,spillover theory,social exchange theory,and two-factor theory to systematically explore the mechanism through which work-family facilitation influences work engagement.Specifically,it investigates the roles of psychological resilience and job satisfaction in this relationship,providing a novel theoretical perspective and empirical evidence.AIM To systematically explore the mechanism through which work-family facilitation influences work engagement among PE teachers.METHODS A cross-sectional questionnaire survey was conducted among 436 PE teachers.Structural equation modeling was used to examine relationships among variables and assess mediating effects.RESULTS Work-family facilitation positively correlated with psychological resilience,job satisfaction,and work engagement(r=0.323-0.705,P<0.001).Psychological resilience and job satisfaction fully mediated the relationship between work-family facilitation and work engagement,demonstrating a significant chain mediation effect.CONCLUSION This study confirms that promoting work-family facilitation enhances psychological resilience and job satisfaction,thereby significantly boosting work engagement among PE teachers.These findings underline the importance of targeted interventions to enhance work-family resources,psychological resilience,and job satisfaction,contributing to theoretical advancements and practical implications for educational management.
文摘Student engagement in learning is a concern for teachers in the implementation of blended learning,which reflects the effectiveness of the pedagogical measures taken by teachers.Blended learning encompasses traditional blended,blended online,and blended synchronous,which combine synchronous and asynchronous teaching and learning activities.This paper adopts an inductive approach to investigate and analyse students‘engagement in learning from three dimensions:behavioural,affective and cognitive,specifically focusing on three meta-categories,namely,course structure and arrangement,choice of teaching and learning activities,and teacher’s role in relation to the course,to investigate the teaching of teachers of different disciplines in three vocational colleges and to analyse the pedagogical strategies that the teachers use in order to improve students’engagement in blended learning.The findings suggest that communicating about the course at the beginning of the semester,clarifying course requirements,and building a trusting relationship with students play a key role in increasing student engagement in blended learning,and that the use of digital tools is an important means of promoting students’behavioural and emotional active participation in learning.
文摘This study investigated the role of intentional self-regulation and the moderating role of peer relationship in the relationship between teacher-student relationship and learning engagement.The study sample comprised 540 Chinese senior secondary school students between the ages of 15–18(51.67%boys;Mage=16.56 years;SDage=0.90).They completed surveys on the Teacher-Student Relationship Scale,the Selection,Optimization,and Compensation(SOC)Scale,the Peer Relationship Scale for Children and Adolescents,and the Learning Engagement Scale.The results following regression analysis showed that teacher-student relationship predicted higher learning engagement among senior secondary school students.Intentional self-regulation partially mediated the link between teacher-student relationship and learning engagement for higher learning engagement.Peer relationship moderated the relationships between teacher-student relationship and learning engagement and moderated the relationship between teacher-student relationship and intentional self-regulation for higher learning engagement.Thesefindings imply learning engagement can be enhanced by optimizing teacher-student relationship and strengthening intentional self-regulation interventions.
文摘This review aims to gain a deeper understanding of the current interventions used in high-income and low-and middle-income countries worldwide on treatment engagement among persons with severe mental illnesses.Treatment engagement involves cultivating therapeutic partnerships to address patients’unique needs and challenges.This multifaceted process requires sensitivity,collaboration,and a tailored approach to promote positive outcomes.Effective treatment engagement reduces the chances of relapse and rehospitalization and helps individuals steer through their daily lives and social relationships.Through literature analysis,it was found that individual,situational,and environmental factors affected treatment engagement.Community nurses are crucial in promoting behavioral changes by engaging patients and applying tailor-made interventions.Applying problem-solving,coping skills,and strategies to address factors influencing adherence,motivational interviewing,and telephone follow-ups yielded significant results.The interventions recommended in community settings are tele-aftercare programs and home visits to address issues of dropped-out persons with severe mental illnesses and ensure continuity of treatment.Accessible,nonstigmatizing,non-coercive,informal,and appropriate services are suggested.These interventions can improve treatment engagement,medication adherence,and therapeutic alliance,thereby reducing symptoms and improving patients’quality of life.
基金supported by the Medical and Health Communication Research Center of Zigong Academy of Medical Sciences(No.YXJKCB-2024-06)the Demonstration Project for Consolidating the Scientific and Educational Support for Medical Talents(Scientific Research Team for improving the Service Quality of“the Elderly and the Young”).
文摘This study explored the role of learning engagement in the relationship between academic self-efficacy and self-directed learning ability among nursing students.Participants were 328 Chinese nursing students(male=11.3%,female=88.7%;mean age=20.86 years;SD=1.75 years).The participants completed surveys on academic self-efficacy(Academic Self-efficacy Scale),learning engagement(Learning Engagement Scale),and self-directed learning ability(Self-directed Learning Instrument).Hayes regression-based PROCESS macro analysis revealed that learning engagement mediated the relationship between academic self-efficacy and self-directed learning ability.The hierarchical regression analysis showed higher academic self-efficacy to be associated with self-directed learning ability.Additionally learning engagement was associated with higher self-directed learning ability.Based on thesefindings,there is a need for interventions to improve students’self-directed learning ability through increasing their academic self-efficacy and enhancing learning engagement.
基金supported by the 2024 Henan Province Philosophy and Social Science Planning Project(Youth Project)entitled“Research on the Mechanism and Intervention of Self-Regulated Learning in Promoting Children’s Chinese Reading Comprehension”(2024CJY070).
文摘This study examined the impact of teacher-student relationship quality on students’risk of bullying victimiza-tion and the mediating roles of student-student relationships and student engagement in this relationship.A total of 656 Chinese junior high school students(females=361,mean age=13.75,SD=0.98)completed validated measures of teacher-student relationship quality,student-student relationship quality,student engagement,and bullying victimization.Regression analysis results indicated that higher teacher-student relationship quality predicted a lower risk of student bullying victimization.Serial mediating effect testing of the student-student relationship quality and student engagement revealed that these factors fully mediated the relationship between teacher-student relationship quality and bullying victimization,resulting in a lower risk of bullying victimization.The results showed that student-student relationship quality had a more substantial mediating effect than student engagement.Thefindings support the Socio-Ecological Framework,suggesting that within the Microsystem,interactions between individuals and their immediate environments significantly impact their behavior.Specifically,thesefindings suggest that good teacher-student relationships can enhance the quality of student-student relationships and student engagement,thereby preventing and reducing the occurrence of bullying victimization.
文摘Good mental well-being is necessary for achievement in science at any level.There are extrinsic factors that have the potential to determine a learner’s mental well-being,and the role of the parent(s)cannot be undermined.Therefore,this study examined the relationships between parental engagement(PE),parents’attitude to science(PAS),and mental well-being(MWb)among junior science students.This descriptive survey involved a population of Junior Secondary Three(3)students studying Basic Science in public co-educational schools.A sample of three hundred(300)respondents was randomly drawn from 10 schools within the metropolis.Quantitative data were sourced using three validated questionnaires and analyzed using descriptive and inferential statistics.The research showed that PE(2.19)and PAS(2.13)are relatively high,while MWb(2.51)is moderately normal.The influence of PE and PAS on MWb is significant.Both PE and PAS have a significant positive relationship with MWb.Also,PE and PAS were found to jointly contribute to students’MWb.In conclusion,PE and PAS have implications for the child’s mental well-being and ultimate success in science.We,therefore,recommend that more parental engagement be encouraged by improving sensitization,and orientation programs could be organized for parents of science students.This may provide an avenue for parents to be better equipped to support their young scientists.
文摘The study examined work engagement and coping strategies in the relationship between abusive supervision and helping behaviors among hospitality employees.Participants were 386 frontline hospitality employees(50.8%females;38.9%with 1–5 years of experience;78.3%in the 18–40 age range).They self-reported coping strategies,abusive supervision,work engagement,and helping behaviors.Structural equation model results showed that abusive supervision to be associated with lower employee helping behaviors.Work engagement was higher with employees’helping behaviors.Engaged employees would unleash helping behaviors.Work engagement mediated the relationship between abusive supervision and helping behaviors,lowering the abusive supervision risk.Finally,avoidance of contact exacerbated the moderated abusive supervision–work engagement relationship for lower work engagement,while support-seeking and reframing exerted no moderation role.Findings suggest that avoiding an immediate supervisor exacerbates abusive supervision.Hence,applying behavior-based interviews when hiring supervisors would be of strategic advantage to employees’productivity.
基金supported by National Natural Science Foundation of China[72174183].
文摘Objective This study aims to explore the complex relationship between social engagement and depressive symptoms among older adults in China,focusing particularly on the moderating role of marital status.Methods This study used data from the latest Chinese Longitudinal Healthy Longevity Survey(CLHLS).The analysis used the latent class analysis to delineate personality clusters and hierarchical linear regression,supplemented by the PROCESS macro,to investigate the effects of social engagement and marital status on depressive symptoms.Results The analysis encompassed 7,789 respondents(mean age:82.53[s=11.20]years),with 54%female.The personality analysis categorized participants into four clusters,with the majority(77.60%)classified as Confident Idealists,who exhibited the lowest levels of depressive symptoms.Hierarchical linear regression analysis yielded several significant findings:Higher levels of social engagement were significantly associated with fewer depressive symptoms(t=-7.932,P<0.001,B=-0.463).Marital status was a significant factor;married individuals reported fewer depressive symptoms compared to their unmarried counterparts(t=-6.368,P<0.001,B=-0.750).There was a significant moderating effect of marital status on the relationship between social engagement and depressive symptoms(t=-2.092,P=0.037,B=-0.217).Conclusion This study demonstrates that,among Chinese older adults,both social engagement and marital status significantly influence depressive symptoms.Higher social engagement,particularly in other activities like doing household chores,gardening,reading newspapers or books,and playing cards or Mahjong,is associated with fewer depressive symptoms,especially among married individuals.
文摘Over the past several decades,significant scientific progress in xenotransplantation has brought the field to the threshold of clinical trials.In the past 3 years in the United States,experimental pig kidney and heart xenotransplantation have been performed on human subjects recently declared dead by neurological criteria(decedents).In addition,two pig heart transplants have been carried out in living patients under the United States Food and Drug Administration's expanded access guidelines.However,though there has been a flurry of activity there remain unanswered questions regarding how the public views xenotransplantation,what concerns may exist,and how to address these concerns in a meaningful way.This paper aims to underscore the importance of public engagement in xenotransplantation,emphasizing the ongoing need for studies to assess public opinions.The current evidence on public engagement studies is reviewed and gaps in our understanding are identified.We propose practical steps to advance this field.Additional studies to determine the extent of racial/ethnic differences in attitudes to xenotransplantation should be conducted.Empirical and descriptive analysis of certain religious viewpoints—especially minority faiths—would be valuable.As public engagement is an important aspect of public acceptance of novel research that is accompanied by risk,we suggest that xenotransplantation biotechnology companies might consider leading the way in funding this research.
文摘Automatic detection of student engagement levels from videos,which is a spatio-temporal classification problem is crucial for enhancing the quality of online education.This paper addresses this challenge by proposing four novel hybrid end-to-end deep learning models designed for the automatic detection of student engagement levels in e-learning videos.The evaluation of these models utilizes the DAiSEE dataset,a public repository capturing student affective states in e-learning scenarios.The initial model integrates EfficientNetV2-L with Gated Recurrent Unit(GRU)and attains an accuracy of 61.45%.Subsequently,the second model combines EfficientNetV2-L with bidirectional GRU(Bi-GRU),yielding an accuracy of 61.56%.The third and fourth models leverage a fusion of EfficientNetV2-L with Long Short-Term Memory(LSTM)and bidirectional LSTM(Bi-LSTM),achieving accuracies of 62.11%and 61.67%,respectively.Our findings demonstrate the viability of these models in effectively discerning student engagement levels,with the EfficientNetV2-L+LSTM model emerging as the most proficient,reaching an accuracy of 62.11%.This study underscores the potential of hybrid spatio-temporal networks in automating the detection of student engagement,thereby contributing to advancements in online education quality.
基金supported by the National Natural Science Foundation of China(No.62367006)the Graduate Innovative Fund of Wuhan Institute of Technology(Grant No.CX2023551).
文摘Automatically detecting learners’engagement levels helps to develop more effective online teaching and assessment programs,allowing teachers to provide timely feedback and make personalized adjustments based on students’needs to enhance teaching effectiveness.Traditional approaches mainly rely on single-frame multimodal facial spatial information,neglecting temporal emotional and behavioural features,with accuracy affected by significant pose variations.Additionally,convolutional padding can erode feature maps,affecting feature extraction’s representational capacity.To address these issues,we propose a hybrid neural network architecture,the redistributing facial features and temporal convolutional network(RefEIP).This network consists of three key components:first,utilizing the spatial attention mechanism large kernel attention(LKA)to automatically capture local patches and mitigate the effects of pose variations;second,employing the feature organization and weight distribution(FOWD)module to redistribute feature weights and eliminate the impact of white features and enhancing representation in facial feature maps.Finally,we analyse the temporal changes in video frames through the modern temporal convolutional network(ModernTCN)module to detect engagement levels.We constructed a near-infrared engagement video dataset(NEVD)to better validate the efficiency of the RefEIP network.Through extensive experiments and in-depth studies,we evaluated these methods on the NEVD and the Database for Affect in Situations of Elicitation(DAiSEE),achieving an accuracy of 90.8%on NEVD and 61.2%on DAiSEE in the fourclass classification task,indicating significant advantages in addressing engagement video analysis problems.
