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The purpose of this study was to investigate the impact of parents engaging in dialogic reading with their children while reading picture books on children's emotional understanding and parent-child relationships. The study also attempted to investigate the potential of picture books as useful instruments for parent-child communication, fostering meaningful parent-child connection and augmenting children's emotional comprehension. The study lasted for 11 weeks. The initial three weeks were focused on a parent-child reading session specifically designed for mothers, and the next eight weeks consisted of a picture book reading program in the participants' homes. Convenience sampling was employed to choose 11 families for participation in the study. Throughout the 8-week reading program, families actively participated in parent-child picture book reading sessions at home, ensuring a minimum frequency of once per week. The study used a combination of multiple case studies and a case study-mixed methods design. The data collection process involved gathering quantitative data through various means, including administering primary background surveys, utilizing the Child-Parent Relationship Scale (CPRS), and employing the Children’s Emotional Development Scale. The qualitative data consisted of interviews conducted before the intervention and records documenting parental reading observations. The analysis methodologies used in this study encompassed thematic and content analysis, which involved combining qualitative and quantitative findings to facilitate comparison. The quantitative data analysis of the Child Emotional Development Scale revealed notable disparities in emotional cognition, comprehension, expression, and overall emotional competence scores between the initial and final examinations. Although the CPRS results did not reveal any notable disparities in family intimacy and conflict; it is worth noting that seven families had higher post-test scores in family intimacy, indicating that mothers perceived an improved level of closeness with their children. Qualitative data analysis revealed that through shared reading of picture books on various emotional themes, children learned more emotional vocabulary and engaged in deeper parent-child conversations beyond daily interactions. This increased children's opportunities for emotional expression and helped mothers better understand their children's emotional needs, reflect on their parenting skills, and foster parent-child interaction and communication. In conclusion, this study demonstrated the significant impact of engaging in dialogic parent-child picture book reading on emotional understanding in preschool children. Furthermore, it is believed to be a valuable parent-child interaction strategy for dual-income families in Macau, enhancing parent-child relationships.

As cities continue to grow at an unprecedented rate, the need for efficient land use becomes even more critical. Mixed Use Architecture is essential for modern cities because of its efficiency in using land that is prevalent in the rapid urbanization we are facing today. Mixed-use development offers numerous advantages for communities and serves as a crucial approach in attaining sustainable ecosystems (Woo and Cho, 2018). Land scarcity in Macau has made mixed-use architecture essential to city expansion. Mixed-use developments in Macau typically consist of combination of housing and commercial towers, casino and hotel complexes and office buildings. This has improved land use in the city. However, these developments, however, unappetizing living conditions resulting sick building syndrome to its residents. The research question identified and addressed in this study is: How can Mixed Use Architecture respond to the underlying problems Urbanisation has brought? Based on this question, this dissertation develops a new type prototype for mixed use architecture that to resolve the issues prevalent in the current mixed use architecture models using Macau as context for this prototype. This study challenges traditional architecture and uses innovative approaches stemming from biophilic strategies and industry leading green technologies that improve quality of life and the environment. This study proposes a novel solution to urbanization's problems such Sick Building Syndrome, high population density, and land scarcity. This dissertation suggests a space-efficient architecture to meet the needs of rising populations and land scarcity while prioritizing resident well-being.

In today's rapidly changing educational landscape, parents and children demand personalised, innovative, and engaging learning experiences beyond the standard curriculum. Modern education places a premium on igniting curiosity, encouraging critical thinking, and cultivating creativity. Collaborative learning between parents and children is critical for improving academic performance and strengthening relationships. This article discusses the "Yay Island" platform's game-based technique, which combines Mandarin Chinese and English in a multicultural and multilingual setting. Initial study shows that digital technologies dramatically increase children's motivation and interest when paired with peer and parent participation and game-based teaching, resulting in a pleasant learning environment. Further research demonstrates that collaborative and game-based learning and teaching improves motivation, respects individual differences, and strengthens parent-child connections. As a game, "Yay Island" uses integrated learning, child psychology concepts, modern educational methodologies, and user-centred design. It seeks to develop a collaborative learning environment and encourage growth in children, parents, and educators. The game emphasises knowledge, personal discovery, and innovation, laying the groundwork for children's growth and future competition. Through constant research and optimisation, "Yay Island" solves digital transformation concerns in education by providing personalised, efficient, and entertaining learning experiences.

Macau, as a densely populated city, has been facing a prominent challenge in fulfilling the rapidly growing demand for land due to its small geographical size. The limited availability of land exacerbates the conflict between urban development needs and land supply, leading to an imbalance in land resource allocation. This scarcity of land not only hinders the city's ability to meet its growing population's housing needs but also contributes to a lack of social space. The absence of adequate outdoor gathering areas and communal spaces has resulted in the fragmentation of communities and a fading sense of community in the society of Macau. As the urban environment undergoes relentless development, the social fabric of Macau is undergoing a transformation. Communities are becoming fragmented into smaller groups, and chance encounters and serendipitous social interactions are being neglected or excluded. Social events primarily take place within dedicated indoor spaces that cater to groups, further isolating different segments of the population due to the limited and subpar outdoor gathering space available. This dissertation aims to examine the possibility of developing a new housing prototype that could provoke connections between segregated communities. By introducing a combination of communal spaces and vertical circulation spaces, the design seeks to create opportunities for social interaction and the revitalisation of community bonds that could eventually fit into a hyperdense city. To achieve this, the dissertation will begin with a comprehensive site analysis of the site, considering both the physical constraints and the potential benefits for social space creation. Furthermore, the study will draw insights from relevant literature and architectural projects that have addressed relevant challenges, exploring effective strategies for fostering community engagement and creating inclusive social spaces. The design process will emphasise the integration of communal spaces that encourage spontaneous interactions and vertical circulation spaces that facilitate movement and connectivity between different community segments.

This project represents a comprehensive study of an interactive picture book employing augmented reality (AR) technology, focusing on the narratives of the A-Ma Temple and Nezha Temple in Macau. The target audience comprises children aged 6-9 years to enhance their concentration on aesthetic development and deepen their understanding of Macau's historical and cultural heritage. The study resulted in the creating of a picture book that integrates an interactive AR experience, resulting in highly satisfactory user feedback. The findings suggest the potential for further development of interactive picture books as a valuable medium for disseminating Macanese culture. Future efforts should prioritise continuous attention to user feedback and the AR technology's stability to ensure the work's long-term effectiveness and impact.

Traditional malls often suffer from isolated and inward-focused designs that disconnect them from their urban surroundings, hindering pedestrian integration and community engagement. This dissertation addresses these issues by exploring the concept of integrating streets and malls to create a more cohesive and vibrant urban environment. The research examines contemporary architectural approaches that emphasize seamless connections between exterior streets and mall interiors, blurring the lines to foster social interaction and enhance walkability. Central to this study is an architectural design project that illustrates the practical application of these concepts. Through a detailed analysis of urban design principles and case studies of successful integrated malls, this research investigates the potential benefits and challenges of such integration. The design project provides a tangible example of how thoughtful interventions can activate public spaces, promote pedestrian flow, and cultivate a strong sense of place. The research highlights best practices and achievements in the area of integrated mall designs, offering valuable insights for urban planners, architects, and stakeholders involved in mall and urban space development. Findings suggest that integrating streets and malls can lead to improved community engagement and create more vibrant urban destinations that meet the specific needs and aspirations of the local community. This study provides a comprehensive analysis of how these designs can enhance urban vitality, iii pedestrian activity, and social interaction. Future research could focus on additional case studies or pilot projects to further implement and evaluate this approach in different contexts, providing practical insights and refining the understanding of its benefits and challenges. By reimagining the traditional mall structure and its relationship with the urban environment, this dissertation contributes to the ongoing discourse on sustainable and inclusive urban development, proposing strategies that make urban retail spaces more responsive to contemporary needs. 傳統購物中心常常受到孤立和內向設計的困擾，這些設計使它們與城市環境脫節，阻礙了行人融入和社區參與。本論文透過探索整合街道和購物中心的概念來解決這些問題，以創造一個更有凝聚力和活力的城市環境。該研究探討了當代的建築方法，強調外部街道和購物中心內部之間的無縫連接，模糊界限以促進社會互動並增強步行能力。這項研究的核心是一個建築設計項目，它說明了這些概念的實際應用。透過對城市設計原則的詳細分析和成功綜合購物中心的案例研究，本研究探討了這種整合的潛在好處和挑戰。這個設計計畫提供了一個具體的例子，說明深思熟慮的干預措施如何激活公共空間、促進人流並培養強烈的地方感。該研究重點介紹了綜合購物中心設計領域的最佳實踐和成就，為參與購物中心和城市空間開發的城市規劃者、建築師和利益相關者提供了寶貴的見解。研究結果表明，整合街道和購物中心可以提高社區參與度，創造更有活力的城市目的地，滿足當地社區的特定需求和願望。這項研究對這些設計如何增強城市活力、行人活動和社會互動進行了全面分析。未來的研究可以專注於其他案例研究或試點項目，以在不同的背景下進一步實施和評估這種方法，提供實用的見解並加深對其好處和挑戰的理解。透過重新構想傳統的購物中心結構及其與城市環境的關係，本論文為可持續和包容性城市發展的持續討論做出了貢獻，提出了使城市零售空間更能滿足當代需求的策略。

<jats:p>Antibiotic pollution poses a serious environmental concern worldwide, posing risks to ecosystems and human well-being. Transforming waste activated sludge into adsorbents for antibiotic removal aligns with the concept of utilizing waste to treat waste. However, the adsorption efficiency of these adsorbents is currently limited. This study identified KOH modification as the most effective method for enhancing tetracycline (TC) adsorption by sludge biochar through a comparative analysis of acid, alkali, and oxidant modifications. The adsorption characteristics of TC upon unmodified sludge biochar (BC) as well as KOH-modified sludge biochar (BC-KOH) were investigated in terms of equilibrium, kinetics, and thermodynamics. BC-KOH exhibited higher porosity, greater specific surface area, and increased abundance of oxygen-based functional groups compared to BC. The TC adsorption on BC-KOH conformed the Elovich and Langmuir models, with a maximum adsorption capacity of 243.3 mg/g at 298 K. The adsorption mechanisms included ion exchange, hydrogen bonding, pore filling, and electrostatic adsorption, as well as π-π interactions. Interference with TC adsorption on BC-KOH was observed with HCO3−, PO43−, Ca2+, and Mg2+, whereas Cl−, NO3−, and SO42− ions exhibited minimal impact on the adsorption process. Following three cycles of utilization, there was a slight 5.94% reduction in the equilibrium adsorption capacity, yet the adsorption capacity remained 4.5 times greater than that of unmodified sludge BC, underscoring its significant potential for practical applications. This research provided new insights to the production and application of sludge biochar for treating antibiotic-contaminated wastewater.</jats:p>

<jats:p>In this study, sixteen Sprague Dawley (SD) female rats and eight SD male rats were co-housed to mate. Pregnant SD female rats were fed with a control diet or an MA diet. Breast milk, maternal ileum, and intestinal samples of the offspring were collected at the day of birth and ten days afterwards. The results showed that the impact of MA was more obvious on the microbiota of mature milk (p = 0.066) than on that of colostrum. In addition, MA additive did not significantly affect maternal ileal microbiota, but affected offsprings’ colonic microbiota significantly ten days after birth (p = 0.035). From the day of giving birth to ten days afterwards, in addition to the increase in microbial richness and diversity, at genus level, the dominant bacteria of breastmilk changed from Pseudomonas veronii to Bacillus and Lactococcus. Different from breastmilk microbiota, ten days after giving birth, the maternal ileal microbiota and the offsprings’ intestinal microbiota were dominated by Lactobacillus. Instead of ileal microbiota, offsprings’ colonic microbiota is a key action site of maternal MA additive. Therefore, the current findings have significant implications for the development of maternal feed aimed at modulating the intestinal microbiota of offspring, ultimately leading to improved health outcomes for both mothers and their offspring.</jats:p>

The stock market's inherent volatility and complexity pose significant challenges for investors seeking to optimize their strategies. This thesis addresses the critical need for improved forecasting methods in stock price prediction by proposing a hybrid approach that combines traditional machine learning (ML) techniques, specifically Support Vector Machines (SVM) and Long Short-Term Memory (LSTM) networks, with sentiment analysis derived from financial news and social media platforms. The research establishes a theoretical framework integrating quantitative data, such as historical stock prices, with qualitative sentiment data to enhance prediction accuracy. The study involves the collection of a comprehensive dataset covering stock prices and sentiment scores from various sources, including news articles and social media posts, from January 2010 to December 2023. Rigorous data preprocessing techniques, including normalization and feature engineering, are employed to prepare the data for analysis. A comparative analysis of the SVM and LSTM models uses multiple performance metrics, including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and classification accuracy. The findings reveal that the LSTM model significantly outperforms the SVM model in predictive accuracy, demonstrating its capability to capture complex temporal dependencies inherent in financial time series data. Furthermore, integrating sentiment analysis significantly enhances the predictive performance of both models. Notably, transformer-based sentiment analysis techniques, such as BERT and DistilBERT, provide superior sentiment classifications compared to traditional methods like VADER and TextBlob. The empirical results indicate that incorporating sentiment data leads to an average accuracy improvement of 12.8% over models that rely solely on historical price data. This research contributes to the evolving field of financial forecasting by emphasizing the importance of a hybrid approach that amalgamates quantitative and qualitative data. The implications of these findings extend beyond academic research, offering valuable insights for investors and financial analysts seeking to leverage advanced predictive models to navigate market uncertainties. Ultimately, this dissertation advocates adopting sophisticated hybrid models that enhance stock investment strategies and decision-making processes in the finance sector.

<jats:p>The use of artificial intelligence (AI) tools in writing and proofreading is beginning to develop. Studies show that AI tools can positively influence students' writing and proofreading skills. This study presents the perceptions of vocational education students regarding the assessments and suggestions for improvement provided by the AI assistant Curipod and followed by students in the proofreading phase. It centres on a case study, with data collected using a survey with open and closed questions, participant observation, and an interview. The students positively perceived the feedback they received from the AI assistant on their initial text and consider that it helped them to revise and improve the final versions of the texts written on paper and digitally. The students are interested in using tools like these in writing revision activities, as they see the potential they have for the classroom and autonomous learning.</jats:p>

Predicting stock prices is difficult because of their multiple input variables, volatility, and unpredictable nature. To provide a suitable model for forecasting the global stock market, this study conducts an exploratory analysis comparing two models based on Artificial Intelligence: Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) Neural Networks. The work considers a publicly accessible dataset and uses feature engineering to extract time-series features. Stock price predictions are made using the SVM and LSTM algorithms. For this purpose, Accuracy (ACC) and Root Mean Squared Error (RMSE) are considered accuracy and performance measures. According to the results, LSTM with mean accuracy (ACC) = 0.9061 achieved better accuracy than SVM with mean accuracy (ACC) = 0.881. SVM with mean RMSE = 0.729 achieved better performance and the degree of fit to the data than LSTM with mean RMSE = 427.1. According to the results, the study demonstrates the effectiveness and applicability of machine learning methods for estimating the values of the global stock market and providing valuable models for researchers, analysts, and investors.

<jats:title>Abstract</jats:title> <jats:p> <jats:italic>Objective.</jats:italic> Mild cognitive impairment (MCI) is a precursor stage of dementia characterized by mild cognitive decline in one or more cognitive domains, without meeting the criteria for dementia. MCI is considered a prodromal form of Alzheimer’s disease (AD). Early identification of MCI is crucial for both intervention and prevention of AD. To accurately identify MCI, a novel multimodal 3D imaging data integration graph convolutional network (GCN) model is designed in this paper. <jats:italic>Approach.</jats:italic> The proposed model utilizes 3D-VGGNet to extract three-dimensional features from multimodal imaging data (such as structural magnetic resonance imaging and fluorodeoxyglucose positron emission tomography), which are then fused into feature vectors as the node features of a population graph. Non-imaging features of participants are combined with the multimodal imaging data to construct a population sparse graph. Additionally, in order to optimize the connectivity of the graph, we employed the pairwise attribute estimation （PAE） method to compute the edge weights based on non-imaging data, thereby enhancing the effectiveness of the graph structure. Subsequently, a population-based GCN integrates the structural and functional features of different modal images into the features of each participant for MCI classification. <jats:italic>Main results.</jats:italic> Experiments on the AD Neuroimaging Initiative demonstrated accuracies of 98.57%, 96.03%, and 96.83% for the normal controls (NC)-early MCI (EMCI), NC-late MCI (LMCI), and EMCI-LMCI classification tasks, respectively. The AUC, specificity, sensitivity, and F1-score are also superior to state-of-the-art models, demonstrating the effectiveness of the proposed model. Furthermore, the proposed model is applied to the ABIDE dataset for autism diagnosis, achieving an accuracy of 91.43% and outperforming the state-of-the-art models, indicating excellent generalization capabilities of the proposed model. <jats:italic>Significance.</jats:italic> This study demonstrate<jats:bold>s</jats:bold> the proposed model’s ability to integrate multimodal imaging data and its excellent ability to recognize MCI. This will help achieve early warning for AD and intelligent diagnosis of other brain neurodegenerative diseases.</jats:p>

<jats:title>Abstract</jats:title><jats:p>Speaking truth ought to be normative in churches, and yet when it does, the foundations and structures of power are often shaken to the core. This paper explores the issues of identity and integrity in ecclesiology and is concerned with the ethical paradigms and moral frameworks that need to be in place if churches are to be places where honesty and truthfulness can be normative. Churches often fail as institutions because they presume they can conduct their affairs as organizations might. Churches become anger-averse, resisting the voices and experiences of victims, in order that the flow of power and its structures are unimpeded. At that point, churches become inherently committed to re-abusing victims and are unable to hear their pain and protests, which only leads to the perpetration of further abuse.</jats:p>

The purpose of this study is to understand the problems and experiences of Macao's regular classroom pre-school teachers in teaching and counseling children with special needs, in order to further explore the professional growth and development process of regular classroom pre-school teachers in the orientation of integrated education. This study adopts a qualitative narrative research methodology, using semi-structured in-depth interviews and textual data collected from the research participants' research journals and teaching diaries to analyze the stories related to the three preschool teachers in the educational field, and according to the results of the data analysis were as following: 1. The professional growth and development of the three teachers in pre-school integration, from novice teachers to professional teachers, need to go through a long period of exploration and adaptation, where teachers continue to refine their professional knowledge and teaching skills to cope with the challenges of problems in the education process, but the progression from professional to expert teachers is affected by both internal and external factors, that teachers are unable to make the transition into it. 2. The three teachers' dilemmas are at different stages. It was found that among the four major dilemmas faced by the teachers, there were teaching, classroom management, support system and professional knowledge in IE, and among them, the support system and professional knowledge in IE were the ones that the teachers considered the most desirable to get in order to have good conditions for implementing IE in ordinary classes. 3. This study suggests that teachers need to be able to adapt their mindset to face different challenges at work. Active Enhancement of IE Knowledge to Cope with Various Educational Issues; schools should assist teachers in the implementation of IE and act as a bridge between parents and teachers. Define the development intention of the school so as to establish a clear direction and avoid internal confusion; government needs to consider the extension of the policy to safeguard the learning rights of Pupils with Special Educational Needs (Pupils with Special Educational Needs). Promote the concept of IE in the community so that it can be widely recognized by the public, thereby gaining more support. There must be a comprehensive training and continuous growth and development for IE Teachers, in order to establish a clear and standardized curriculum. Organize cross-school professional exchanges for qualified IE teachers to enhance their professional knowledge. 本研究旨在透過瞭解澳門普通班學前教師對特殊需要幼兒教學與輔導的問題與經驗，以進一步探討普通班學前教師融合教育導向的專業發展歷程。 　　本研究採用質性敘事研究方法，使用半結構式深度訪談，並透過研究參與者的研究日記、教學日誌等蒐集文本資料，分析三位學前教師在教育現場內的相關故事，根據資料分析結果發現如下： 一、三位教師的學前融合專業成長發展，從新手型教師到專業型教師需要經歷一段漫長的時間探索和適應，在此教師持續精進自己的專業知識和教學技能，以應對教育過程中的問題挑戰，但從專業型教師到專家型教師這個進階過程受到內在和外在的因素影響，因此，教師雖然初現這階段的特質，但未具備相應的專業力能。 二、通過三位教師不同階段的困境問題發現，所面對的四大困境中，包括有教　 　　學方面、班級管理方面、支援系統方面和融合教育專業知能方面，而當中 　　支援系統和融合教育專業知能方面是教師認為最希望獲得的支持，才能讓 　　教師擁有良好的條件在普通班中實施融合教育。 三、本研究建議，教師需要懂得調適心態，以面對工作上的不同挑戰。積極增 　　進融合教育知能，以應對各類的教育問題；學校方面應協助教師開展融合 　　教育的工作，做好家長與教師的橋樑。明確學校的發展意向，從而建立清 　　晰的目標走向，避免造成內部混亂；政府方面需要考量政策的延伸性，以 　　保障普特幼兒的學習權益。將融合教育的理念推進社區，讓大眾廣泛認 　　識，從而獲得更多的支持力。建立明確標準化的融合教育教師培育模式， 　　使融合教育教師的培育過程有着全面性和連續性的成長發展。組織合資格 　　的融合教育教師跨校專業交流，以提升教師專業知能。

In many studies of social workers, topics such as burnout and job satisfaction are relatively frequently studied and discussed. There are even fewer relevant studies on social workers in Macau. Therefore, research on self-efficacy, burnout, and job satisfaction among social workers in Macau will be a relatively new research topic. The purpose of this study is to investigate whether and to what extent job burnout mediates the effects of self-efficacy and job satisfaction. We explored the relationships between: (1) the positive relationship between self-efficacy and job satisfaction; (2) the negative relationship between self-efficacy and burnout; (3) the negative relationship between burnout and job satisfaction; and (4) burnout has a mediation effect in the relationship between self-efficacy and job satisfaction. Quantitative and cross-sectional design research was applied by using an online self-response survey (N = 100), conducted using a snowball sampling technique among Macau's full-time social workers. Results from simple linear regression showed that the findings demonstrate significant results on the relationship between social workers' self-efficacy, burnout, and job satisfaction in Macau. Overall burnout had a significant negative prediction towards overall self-efficacy (r = -.47, p <.001); overall self-efficacy can significantly positive predict overall job satisfaction (r =.31, p <.01); Burnout can significantly negatively predict job satisfaction (r = -.43, p <.001), so multiple linear regression analysis was performed. The results showed that when burnout was used as one of the predictors, although burnout had a significant negative prediction on job satisfaction, burnout had a significant negative impact on self-efficacy and job satisfaction. The relationship between them has a very complete mediating effect. This means that the relationship between self-efficacy and job satisfaction is fully mediated by burnout. If corresponding resource policies and strategies are developed to improve social workers' self-efficacy, thereby reducing burnout and improving job satisfaction, this may be beneficial to both employees and organizations. Our study contributes to the direction in which positive expectations influence individual turnover intentions of Macau social workers. This study has theoretical implications for organizations and employees, and future research should continue to explore suggestions such as the limits and causal relationships of self-efficacy to help policymakers develop strategies to reduce social worker turnover.

The aim of this study was to investigate the relationship between job burnout and subjective well-being among primary school teachers in Macao during the post- pandemic era. The research questions included understanding the current status of teachers' job burnout and subjective well-being, analyzing the differences in these aspects across different background variables, and examining the relationship between them. Data were collected through an online questionnaire designed to measure teachers' job burnout and subjective well-being. SPSS 25 and Mplus 8 statistical software were used to ensure the reliability and validity of the questionnaire through Cronbach's alpha analysis and confirmatory factor analysis, ensuring that both were within acceptable ranges. The collected data were analyzed using descriptive statistics, independent samples t-tests, one-way ANOVA, Pearson correlation analysis, and linear regression. The results indicated that Macao primary school teachers' job burnout and subjective well-being were both at a moderate level. There were no significant differences in job burnout and subjective well-being among teachers of different genders, ages, school types, and school sizes. Moreover, there was no significant relationship between different educational backgrounds and subjective well-being among Macao primary school teachers. However, regarding educational background and teaching experience, primary school teachers with a "Master's degree or above" and those with teaching experience of "1-3 years" showed significant differences in the "Emotional Exhaustion" dimension. Additionally, the data revealed a significant relationship between job burnout and subjective well- being among Macao primary school teachers, with job burnout predicting subjective well-being. Teachers, as frontline educators, deserve attention to their mental health, particularly in the post-pandemic era. Therefore, this study provided empirical evidence for educational authorities, schools, and the public to reduce job burnout and enhance the well-being of primary school teachers in Macao, thereby supporting the development of primary education in the region. 本研究旨在探討後疫情時期澳門小學教師職業倦怠感與主觀幸福感之間的關係。研究問題包括瞭解教師的職業倦怠感與主觀幸福感現況，分析不同背景變量對教師職業倦怠感與主觀幸福感的差異。透過線上問卷形式蒐集資料，以測量教師的職業倦怠感和主觀幸福感。通過SPSS25和Mplus8統計軟件，以克隆巴赫係數分析和驗證性因子分析確定問卷的信效度均在可接受的範圍內，並對蒐集所得之數據進行描述性統性、獨立樣本 t 檢定、單因子變異數分析、皮爾森積差相關分析及線性迴歸進行分析。 研究結果顯示，澳門小學教師的職業倦怠感與主觀幸福感分別處於中位程度。不同性別、年齡、任教學校類型及學校規模對教師職業倦怠感與主觀幸福感無顯著差異，而且不同學歷的澳門小學教師在主觀幸福感無顯著差異。然而，在學歷和教師年資方面，除主觀幸福感外，具備「碩士或以上」學歷及教學年資為「1-3 年」的小學教師與「情感耗竭」維度之間呈現顯著差異。此外，數據也顯示，教師的職業倦怠感與主觀幸福感之間存在相關關係，且教師職業倦怠感對主觀幸福感有預測作用。 教師作為教育工作的前線人員，其心理健康值得被關注，尤其在後疫情這特殊時期，教師的心理健康問題更突出。因此，本研究為教育行政當局、學校、 社會大眾提供實證依據，為減輕澳門小學教師職業倦怠感，提高主觀幸福感提出建議，以促進本澳小學教育事業的發展。