Career Development of Higher Education Teachers:Opportunities,Challenges,and Strategies for Success

Career development for higher education teachers plays a crucial role in enhancing both the quality of education and the professional satisfaction of academic staff.This essay explores the various stages of career development for educators,including entry into academia,professional growth,and leadership advancement.It examines the challenges these educators face-such as the balance between teaching,research,and service-and presents strategies that institutions and individuals can adopt to foster career growth.Key factors like mentorship,continuing education,and institutional support are discussed as critical to enabling sustainable career progression.The essay concludes by underscoring the importance of ongoing development to ensure teachers can meet evolving educational demands.

Inclusive Education in the Context of Ethnocultural Diversity: Understanding the Process of Exclusion to Act in the School - A Secondary Publication

This paper reveals that the implementation of inclusive education is an unfinished challenge,both within the system and for individual self-improvement.This process of changing practices,by continually questioning the school’s responsibility for the(re)production of inequalities,exclusion,and unequal social relations,is riddled with obstacles,unpredictable situations,and strong emotions.In particular,the researchers point out that many systemic mechanisms of school culture contribute to replicating and reifying hierarchical school experiences and exacerbating processes of institutional discrimination against immigrant backgrounds and/or racialized students.The empirical research presented also highlights the school staff’s deficit thinking toward immigrant students and their parents.The results show that staff tend to use linguistic and cultural gaps between students and the school system to explain academic failure.Be that as it may,the researchers as well as the school actors and students interviewed in this paper suggest multiple ways to improve inclusion in the school context,stressing the importance of giving voice to the various actors in order to move toward institutional transformation.

The Development Trend of Developed Countries to Invest in Education of Disadvantaged Groups and the Enlightenment to Our Country

Educational investment is the material basis for developing intelligence and educational cause and also an important factor for the development of economic and society.This paper argues that educational investment is an important strategy to solve the problem of disadvantaged groups in our country,and hopes that through the analysis of the structure and the trend for educational investment in developed countries,and it can provide reference and valuable suggestions for our country.

The UN Convention on the Rights of Persons with Disabilities and China's Protection of the Right to Education of the Persons with Disabilities

The UN Convention on the Rights of Persons with Disabilities effective in 2008 explicitly stipulates that Member States shall guarantee that people with disabilities enjoy the right to education free from discrimination and without prejudice to equal opportunities.The Chinese government made amendments to the Law of the People s Republic of China on the Protection of Persons with disabilities and the Regulation on the Education of the Persons with Disabilities and issued a series of rules on the Education of the Persons with Disabilities so as to actively implement the Convention. In recent years,the number and proportion of children with disabilities who receive education in China and the number of students with disabilities receiving high school and higher education have been on the rise annually.However, there is still a gap in the level of education on all stages between persons with disabilities and persons without, presenting a huge challenge for the achievement of the right to education of persons with disabilities. We should continue to actively fulfill the obligations prescribed by the Convention to protect the right to education, explore the construction of integrated education, support the maintenance system,strive to improve the quality of special education,allocate resources for the education of persons with disabilities, and emphasize the appraisal of the education of persons with disabilities.

Rights-Based Education Programming: A Complimentary Approach for Addressing Poverty, Education Inequality, and Development in Zimbabwe

The United Nations Millennium Development Goals(MDGs)of 2015 sought to eradicate major problems facing the globe.Member states ratifying these goals were tasked to formulate and institute policies aimed at addressing the global economic,political,social,and environmental challenges.Three major goals sought to address fundamental issues on poverty,universal education,and gender equality.The MDGs were succeeded by the Sustainable Development Goals(SDGs)which are targeted to be achieved by 2030.The intersectionality of the development goals and education cannot be underestimated.Education has been identified as a key strategy for addressing poverty,hunger,and gender equality.Although several countries ratified the MDGs,most did not achieve the goals by 2015.A shift in policy is necessary to close the achievement gap and to help the eff orts for achieving the 2030 SDGs.This paper addresses Zimbabwe’s progress towards the SDGs.Progress on key indicators of quality education,poverty,and inequality of opportunities is presented.Finally,the paper suggests a rights-based education programming framework to help accelerate achievement of the SDGs.

Family Support Situation and Educational Strategies for Primary School Children with Intellectual Disabilities Learning in Regular Class

This paper aims to verify the family support situation for primary school children with intellectual disabilities learning in regular class and to explore various educational strategies to promote their development.A self-made questionnaire was used in this survey,and the parents of 380 intellectual disabled students were the subjects of this survey.It turns out that the overall family support for intellectual disabled children learning in regular class in China is good,but it is affected by the degree of obstacles.Factors such as grade,gender,and parental education had no significant effect on family support.It is the shared responsibility of the government,schools,and parents to promote the level of family support.Governments at all levels must implement family support projects,schools must carry out family education guidance to impart scientific parenting knowledge,and parents must take note of their own responsibilities,so as to promote the physical and mental development of children with intellectual disabilities.

Recent Advances on Deep Learning for Sign Language Recognition

Sign language,a visual-gestural language used by the deaf and hard-of-hearing community,plays a crucial role in facilitating communication and promoting inclusivity.Sign language recognition(SLR),the process of automatically recognizing and interpreting sign language gestures,has gained significant attention in recent years due to its potential to bridge the communication gap between the hearing impaired and the hearing world.The emergence and continuous development of deep learning techniques have provided inspiration and momentum for advancing SLR.This paper presents a comprehensive and up-to-date analysis of the advancements,challenges,and opportunities in deep learning-based sign language recognition,focusing on the past five years of research.We explore various aspects of SLR,including sign data acquisition technologies,sign language datasets,evaluation methods,and different types of neural networks.Convolutional Neural Networks(CNN)and Recurrent Neural Networks(RNN)have shown promising results in fingerspelling and isolated sign recognition.However,the continuous nature of sign language poses challenges,leading to the exploration of advanced neural network models such as the Transformer model for continuous sign language recognition(CSLR).Despite significant advancements,several challenges remain in the field of SLR.These challenges include expanding sign language datasets,achieving user independence in recognition systems,exploring different input modalities,effectively fusing features,modeling co-articulation,and improving semantic and syntactic understanding.Additionally,developing lightweight network architectures for mobile applications is crucial for practical implementation.By addressing these challenges,we can further advance the field of deep learning for sign language recognition and improve communication for the hearing-impaired community.

A Survey on Chinese Sign Language Recognition:From Traditional Methods to Artificial Intelligence

Research on Chinese Sign Language(CSL)provides convenience and support for individuals with hearing impairments to communicate and integrate into society.This article reviews the relevant literature on Chinese Sign Language Recognition(CSLR)in the past 20 years.Hidden Markov Models(HMM),Support Vector Machines(SVM),and Dynamic Time Warping(DTW)were found to be the most commonly employed technologies among traditional identificationmethods.Benefiting from the rapid development of computer vision and artificial intelligence technology,Convolutional Neural Networks(CNN),3D-CNN,YOLO,Capsule Network(CapsNet)and various deep neural networks have sprung up.Deep Neural Networks(DNNs)and their derived models are integral tomodern artificial intelligence recognitionmethods.In addition,technologies thatwerewidely used in the early days have also been integrated and applied to specific hybrid models and customized identification methods.Sign language data collection includes acquiring data from data gloves,data sensors(such as Kinect,LeapMotion,etc.),and high-definition photography.Meanwhile,facial expression recognition,complex background processing,and 3D sign language recognition have also attracted research interests among scholars.Due to the uniqueness and complexity of Chinese sign language,accuracy,robustness,real-time performance,and user independence are significant challenges for future sign language recognition research.Additionally,suitable datasets and evaluation criteria are also worth pursuing.

Mindfulness Facets and Psychological Well-Being among Meditators:Serenity as a Mediating Process

Guided by the theoretical processes of mindfulness and psychological well-being,this study examined serenity as a mediator between mindfulness facets and psychological well-being,as indexed by depressive symptoms and life satisfaction.Participants were 133 mindfulness practitioners who took part in a 3-day transnational meditation event in Hong Kong.Upon informed consent,participants completed a self-report questionnaire.The findings from structural equation modeling showed that serenity mediated the relation between two facets of mindfulness,including describing and nonreacting to inner experience,and life satisfaction.Serenity also mediated the relation between the mindfulness facet of describing and depressive symptoms.Direct associations were indicated between two mindfulness facets,including observing and nonjudging of inner experience,and depressive symptoms.Taken together,the findings revealed mindfulness facets as major correlates of serenity and psychological outcomes among Chinese meditation practitioners.To foster psychological well-being,researchers,educators,and practitioners should pay attention to the role of serenity,describing,and nonreacting to inner experience in mental health.

Innovation and Practice of Training Mode for Professional Postgraduates of Acupuncture and Tuina Based on Artificial Intelligence

In view of the common problems of integrating artificial intelligence into the training of postgraduates in Acupuncture and Tuina major,this paper reviews the related research progress both at home and abroad.It puts forward the innovative reform paths for integrating artificial intelligence into postgraduate training mode of Acupuncture and Tuina major:construct the teaching staff of artificial intelligence graduate students;innovating artificial intelligence to promote the integration of classics and scientific research;constructing the ideological and political case base of artificial intelligence courses;implementing artificial intelligence platform blended teaching;building a domestic and foreign exchange platform for artificial intelligence.Through practical research in teaching,it has achieved good teaching results and played a good demonstration,leading and radiation role in similar majors in China.

Understanding Behavioral Manifestations of Obsessive-Compulsive Disorder in People with Intellectual Disabilities—A Qualitative Study

Background: There is limited knowledge about obsessive-compulsive disorder (OCD) in people with intellectual disabilities (IDs). This paper describes the manifestation of compulsive behaviors associated with OCD at the behavioral level in people with ID in institutionalized settings. The aim was to gain nuanced insight into appropriate understanding and classification in this specific context, and derive implications for research and practice. Methods: Individual cases of people with ID (n = 7) were studied to assess compulsive symptoms through two days of on-site observation of the person with ID within the institution, guided group discussions (n = 28), and semi-structured interviews with key informants and caregivers of the person with ID (n = 20). Caregiver ratings of the compulsive behavior checklist were compiled. Data were analyzed using qualitative content analysis. Results: All forms of OCD were present. Characteristics of compulsive behaviors in people with ID at the behavioral level included less complex and more obvious compulsive acts, immediate responses, signs of tension, motor restlessness, facial expression changes, repetition, need for predictability, time-consuming behaviors, and aggressive reactions when these acts were interrupted. Some of the compulsive behaviors corresponded to the ICD-11 OCD code 6B20, and others to compulsions as a psychological symptom (MB23.4). Conclusions: OCD may manifest atypically at the behavioral level in people with ID, posing significant challenges for accurate classification due to symptom ambiguity. Follow-up differential diagnostic studies are needed to more accurately identify and differentiate OCD symptoms in people with ID. Further, disorder-specific guidelines for recognizing OCD in people with ID are needed for institutionalized settings without psychiatric-psychotherapeutic expertise.

Evidence for the Reliability and Validity of the Arabic Version of the Student Risk Screening Scale for Internalizing and Externalizing Behaviors (SRSS-IE)

School-based universal screening for behavioral/emotional risk is a necessary first step to providing services in an educational setting for students with emotional and behavioral disorders (EBDs). Psychometric properties are critical to making decisions about choosing a screening instrument. The purpose of the present study was to examine the psychometric properties of the student risk screening scale for internalizing and externalizing behaviors (SRSS-IE). Participants included 3145 students and their teachers. Item-level analyses of the current sample supported the retention of all items. The internal consistency of the SRSS items ranged from 0.83 to 0.85. Convergent validity between the SRSS-IE and a well-established screening tool, the strength and difficulties questionnaire (SDQ), was found for the total score (r = 0.70). Additionally, the results of this study demonstrate strong social validity, suggesting the SRSS-IE to be a useful and functional screening tool. We conclude that the SRSS-IE is a valid and reliable instrument for assessing the level of emotional and behavioral difficulties among elementary students.

Analysis of the Impact of Inductive Reasoning on the Mathematical Thinking Style of Deaf and Hard-of-Hearing Students

In this paper,we combine the teaching and learning situation of deaf and hard-of-hearing students in the Linear Algebra course of the Computer Science and Technology major at the Nanjing Normal University of Special Education.Based on the cognitive style of deaf and hard-of-hearing students,we apply example induction,exhaustive induction,and mathematical induction to the teaching of Linear Algebra by utilizing specific course content.The aim is to design comprehensive teaching that caters to the cognitive style characteristics of deaf and hard-of-hearing students,strengthen their mathematical thinking styles such as quantitative thinking,algorithmic thinking,symbolic thinking,visual thinking,logical thinking,and creative thinking,and enhance the effectiveness of classroom teaching and learning outcomes in Linear Algebra for deaf and hard-of-hearing students.

Chinese version of the Perth Alexithymia Questionnaire:psychometric properties and clinical applications

Background The alexithymia trait is of high clinical interest.The Perth Alexithymia Questionnaire(PAQ)was recently developed to enable detailed facet-level and valence-specific assessments of alexithymia.Aims In this paper,we introduce the first Chinese version of the PAQ and examine its psychometric properties and clinical applications.Methods In Study 1,the PAQ was administered to 990 Chinese participants.We examined its factor structure,internal consistency,test-retest reliability,as well as convergent,concurrent and discriminant validity.In Study 2,four groups,including a major depressive disorder(MDD)group(n=50),a matched healthy control group for MDD(n=50),a subclinical depression group(n=50)and a matched healthy control group for subclinical depression(n=50),were recruited.Group comparisons were conducted to assess the clinical relevance of the PAQ.Results In Study 1,the intended five-factor structure of the PAQ was found to fit the data well.The PAQ showed good internal consistency and test-retest reliability,as well as good convergent,concurrent and discriminant validity.In Study 2,the PAQ was able to successfully distinguish the MDD group and the subclinical depression group from their matched healthy controls.Conclusions The Chinese version of the PAQ is a valid and reliable instrument for comprehensively assessing alexithymia in the general population and adults with clinical/subclinical depression.

Instruments Assessing Problematic Use of the Internet and Their Associations with Psychological Distress among Ghanaian University Students

Background:The present study evaluated the psychometric properties of Problematic Internet Use(PIU)instruments and their correlation with psychological distress and time spent on Internet activities among university students in Ghana.Methods:In the present cross-sectional survey design study,520 participants(35.96% female)were recruited with a mean age of 19.55 years(SD=1.94)from several university departments(i.e.,Behavioral Sciences,Materials Engineering,Nursing and Midwifery,and Biochemistry and Biotechnology)of Kwame Nkrumah University of Science and Technology(KNUST)between 19 July and 04 August,2023.Participants completed a survey that included the following measures:the Gaming Disorder Test(GDT),Gaming Disorder Scale for Adolescents(GADIS-A),Internet Gaming Disorder Scale-Short Form(IGDS9-SF),Bergen Social Media Addiction Scale(BSMAS),Smartphone Application Based Addiction Scale(SABAS),Nomophobia Questionnaire(NMP-Q),and the external criterion measure:Depression Anxiety Stress Scale-21(DASS-21).Confirmatory factor analysis(CFA)was carried out to evaluate the structure of the instruments.Cronbach’s α,McDonald’s ω,and composite reliability were used to evaluate internal consistency.Pearson correlation was used to examine the associations between the scores of instruments assessing PIU,time spent on Internet activities,and the level of psychological distress.Results:Model fits confirmed the(i)unidimensional structure of the GDT,BSMAS,SABAS,IGDS9-SF,(ii)two-factor structure of the GADIS-A,and(iii)four-factor structure of the NMP-Q.Additionally,the study found that different types of PIU were significantly associated with psychological distress and time spent on related Internet activities.Conclusion:The six instruments validated in the present study demonstrated very good to excellent psychometric properties when applied to university students in Ghana.The significant associations between Internet-related disorders,time spent on Internet-related activities,and psychological distress highlight the importance of addressing issues of PIU among this population.

汉、英工作记忆的加工和储存对中学生英语阅读理解的影响

本研究采用"视空间和言语交替"任务范式分离言语工作记忆的加工和储存两个成分,分别探讨了英语工作记忆的加工和储存成分对我国中学生英语阅读理解的作用及其途径,以及汉语工作记忆的加工和储存成分对中学生英语阅读理解是否具有跨语言影响。98名初中二年级学生完成了一般认知能力、英语阅读理解、汉语和英语工作记忆任务。结果表明:(1)英语工作记忆的加工和储存成分对英语阅读理解均有显著的独立预测作用;(2)英语工作记忆的储存成分对英语阅读理解的作用部分是由加工成分引起的;(3)汉语工作记忆的加工成分对英语阅读理解没有显著的直接预测作用,但却以英语工作记忆的加工成分为中介间接作用于英语阅读理解;汉语工作记忆的储存成分对英语阅读理解没有显著的预测作用。可见,言语工作记忆是一个多成分系统,加工和储存两个成分是相对分离的,并且它们具有不同的跨语言特性,加工存在跨语言一般性,而储存则具有语言特异性。

Design Methodologies in Interdisciplinary Teaching: Integrating Art and Education

Interest in integrating design methodologies within interdisciplinary teaching has emerged as a strong method for increasing student learning and creativity, especially in integrating art and education. This study discusses the theoretical underpinnings of design-based teaching methodology and its practical applications in interdisciplinary settings. It discusses current practices and emerging trends in how design thinking principles bridge the gap between artistic expression and educational pedagogy. The results highlight the importance of a collaborative learning environment, an iterative process, and project-based approaches that allow the development of skills related to creativity besides the analytical ones. The main strategies in implementing methodologies for such purposes and their impact on student engagement in learning are discussed.

Aphasia rehabilitation based on mirror neuron theory: a randomized-block-design study of neuropsychology and functional magnetic resonance imaging

When watching someone performs an action, mirror neurons are activated in a way that is very similar to the activation that occurs when actually performing that action. Previous single-sample case studies indicate that hand-action observation training may lead to activation and remodeling of mirror neuron systems, which include important language centers, and may improve language function in aphasia patients. In this randomized-block-design experiment, we recruited 24 aphasia patients from, Zhongda Hospital, Southeast University, China. The patients were divided into three groups where they underwent hand-action observation and repetition, dynamic-object observation and repetition, or conventional speech therapy. Training took place 5 days per week, 35 minutes per day, for 2 weeks. We assessed language function via picture naming tests for objects and actions and the Western Aphasia Battery. Among the participants, one patient, his wife and four healthy student volunteers underwent functional magnetic resonance imaging to analyze changes in brain activation during hand-action observation and dynamic-object observation. Results demonstrated that, compared with dynamic-object observation, hand-action observation led to greater performance with respect to the aphasia quotient and affiliated naming sub-tests and a greater Western Aphasia Battery test score. The overall effect was similar to that of conventional aphasia training, yet hand-action observation had advantages compared with conventional training in terms of vocabulary extraction and spontaneous speech. Thus, hand-action observation appears to more strongly activate the mirror neuron system compared with dynamic-object observation. The activated areas included Broca's area, Wernicke's area, and the supramarginal gyrus. These results suggest that hand-action observation combined with repetition might better improve language function in aphasia patients compared with dynamic-object observation combined with repetition. The therapeutic mechanism of this intervention may be associated with activation of additional mirror neuron systems, and may have implications for the possible repair and remodeling of damaged nerve networks. The study protocol was approved by the Ethical Committee of Nanjing Medical University, China(approval number: 2011-SRFA-086) on March 11, 2011. This trial has been registered in the ISRCTN Registry(ISRCTN84827527).

A Survey on Artificial Intelligence in Posture Recognition

Over the years,the continuous development of new technology has promoted research in the field of posture recognition and also made the application field of posture recognition have been greatly expanded.The purpose of this paper is to introduce the latest methods of posture recognition and review the various techniques and algorithms of posture recognition in recent years,such as scale-invariant feature transform,histogram of oriented gradients,support vectormachine(SVM),Gaussian mixturemodel,dynamic time warping,hiddenMarkovmodel(HMM),lightweight network,convolutional neural network(CNN).We also investigate improved methods of CNN,such as stacked hourglass networks,multi-stage pose estimation networks,convolutional posemachines,and high-resolution nets.The general process and datasets of posture recognition are analyzed and summarized,and several improved CNNmethods and threemain recognition techniques are compared.In addition,the applications of advanced neural networks in posture recognition,such as transfer learning,ensemble learning,graph neural networks,and explainable deep neural networks,are introduced.It was found that CNN has achieved great success in posture recognition and is favored by researchers.Still,a more in-depth research is needed in feature extraction,information fusion,and other aspects.Among classification methods,HMM and SVM are the most widely used,and lightweight network gradually attracts the attention of researchers.In addition,due to the lack of 3Dbenchmark data sets,data generation is a critical research direction.

Anti-apoptotic treatment in mouse models of age-related hearing loss

Age-related hearing loss (AHL), or presbycusis, is the most common neurodegenerative disorder and top communication deficit of the aged population. Genetic predisposition is one of the major factors in the development of AHL. Generally, AHL is associated with an age-dependent loss of sensory hair cells, spiral ganglion neurons and stria vascularis cells in the inner ear. Although the mechanisms leading to genetic hearing loss are not completely understood, caspase-family proteases function as important signals in the inner ear pathology. It is now accepted that mouse models are the best tools to study the mechanism of genetic hearing loss or AHL. Here, we provide a brief review of recent studies on hearing improvement in mouse models of AHL by anti-apoptotic treatment.