Action Strategies Research Articles

A Novel Method for a Pursuit–Evasion Game Based on Fuzzy Q-Learning and Model-Predictive Control

This paper explores a pursuit–evasion game (PEG) based on quadrotors by combining fuzzy Q-learning (FQL) and model-predictive control (MPC) algorithms. Initially, the FQL algorithm is employed to perceive, make decisions, and predict the trajectory of the evader. Based on the position and velocity information of both players in the game, the pursuer quadrotor determines its action strategy using the FQL algorithm. Subsequently, a state feedback controller is designed using the MPC algorithm, with reference inputs derived from the FQL algorithm. Within each MPC cycle, the FQL algorithm dynamically provides reference inputs to the MPC, thereby enhancing its robust control and dynamic optimization for the quadrotor. Finally, simulation results verify the effectiveness of the proposed algorithm.

Norm Emergence through Conflict-Blocking Interactions in Industrial Internet of Things Environments.

Norms have been effectively utilized to facilitate smooth interactions among agents. Norms are usually the global data that agents cannot directly access in complex environments; instead, norms can only be indirectly accessed by agents via maintaining their own beliefs about norms. Establishing norms using decentralized interaction-based methods has attracted much attention. However, the current methods overlook Industrial Internet of Things (IIoT) environments. In IIoT, there is a prevalent feature called "conflict-blocking", where agents' conflicting action strategies can block an interaction from being completed or even cause danger. To facilitate norm emergence in IIoT, we propose a framework to support agent decisions in conflict-blocking interactions. The framework aids in achieving system scalability by integrating the fusion of agent beliefs about norms. We prove that the proposed framework guarantees norm emergence. We also theoretically and experimentally analyze the time required for norm emergence under the influence of various factors, such as the number of agents. A vehicle movement simulator is also developed to vividly illustrate the process of norm emergence.

Healthcare Data Analytics and Predictive Modelling: Enhancing Outcomes in Resource Allocation, Disease Prevalence and High-Risk Populations

Purpose: This study aims to explore the role of healthcare data analytics and predictive modeling in enhancing healthcare outcomes, specifically in resource allocation, disease forecasting, and identifying high-risk populations. Methodology: The research employs a comprehensive approach, utilizing various sources of healthcare data such as electronic health records (EHRs) and public health databases. Advanced analytical techniques, including machine learning, artificial intelligence, and big data analytics, are applied to derive actionable insights. Findings: The study reveals that predictive modeling significantly enhances resource optimization, enables accurate disease prevalence forecasting, and improves the identification of high-risk populations. Case studies demonstrate how these technologies lead to more efficient healthcare delivery, cost reduction, and better patient care outcomes. Unique Contribution to Theory, Policy, and Practice: This research contributes to the theoretical understanding of healthcare data analytics by integrating advanced predictive modeling techniques with real-world healthcare applications. It offers valuable insights for policymakers on the importance of investing in data infrastructure and promoting data-driven decision-making. Practically, the study provides healthcare organizations with actionable strategies to implement predictive analytics for improved resource allocation and patient care.

Social isolation and loneliness among people living with experience of homelessness: a scoping review

Social isolation and loneliness (SIL) are public health challenges that disproportionally affect individuals who experience structural and socio-economic exclusion. The social and health outcomes of SIL for people with experiences of being unhoused have largely remained unexplored. Yet, there is limited synthesis of literature focused on SIL to appropriately inform policy and targeted social interventions for people with homelessness experience. The aim of this scoping review is to synthesize evidence on SIL among people with lived experience of homelessness and explore how it negatively impacts their wellbeing. We carried out a comprehensive literature search from Medline, Embase, Cochrane Library, PsycINFO, CINAHL, Sociological s, and Web of Science's Social Sciences Citation Index and Science Citation Index for peer-reviewed studies published between January 1st, 2000 to January 3rd, 2023. Studies went through title, abstract and full-text screening conducted independently by at least two reviewers. Included studies were then analyzed and synthesized to identify the conceptualizations of SIL, measurement tools and approaches, prevalence characterization, and relationship with social and health outcomes. The literature search yielded 5,294 papers after removing duplicate records. Following screening, we retained 27 qualitative studies, 23 quantitative studies and two mixed method studies. SIL was not the primary objective of most of the included articles. The prevalence of SIL among people with homelessness experience varied from 25 to 90% across studies. A range of measurement tools were used to measure SIL making it difficult to compare results across studies. Though the studies reported associations between SIL, health, wellbeing, and substance use, we found substantial gaps in the literature. Most of the quantitative studies were cross-sectional, and only one study used health administrative data to ascertain health outcomes. More studies are needed to better understand SIL among this population and to build evidence for actionable strategies and policies to address its social and health impacts.

Aminocarb Exposure Induces Cytotoxicity and Endoplasmic Reticulum Stress-Mediated Apoptosis in Mouse Sustentacular Sertoli Cells: Implications for Male Infertility and Environmental Health.

Exposure to pesticides, poses a significant threat to male fertility by compromising crucial cells involved in spermatogenesis. Aminocarb, is a widely used carbamate insecticide, although its detrimental effects on the male reproductive system, especially on sustentacular Sertoli cells, pivotal for spermatogenesis, remains poorly understood. In this study, we investigated the effects of escalating concentrations of aminocarb on a mouse Sertoli cell line, TM4. Assessments included cytotoxic analysis, mitochondrial biogenesis and membrane potential, expression of apoptotic proteins, caspase-3 activity, and oxidative stress evaluation. Our findings revealed a dose-dependent reduction in the proliferation and viability of TM4 cells following exposure to increasing concentrations of aminocarb. Notably, exposure to 5 μM of aminocarb induced depolarization of mitochondria membrane potential, and a significant decrease in the ratio of phosphorylated eIF2α to total eIF2α, suggesting heightened endoplasmic reticulum stress via the activation of the eIF2α pathway. Moreover, the same aminocarb concentration was demonstrated to increase both caspase-3 protein levels and activity, indicating an apoptotic induction. Collectively, our results demonstrate that aminocarb serves as an apoptotic inducer for mouse sustentacular Sertoli cells in vitro, suggesting its potential to modulate independent pathways of the apoptotic cascade. These findings underscore the deleterious impact of aminocarb on spermatogenic performance and male fertility, highlighting the urgent need for further investigation into its mechanisms of action and mitigation strategies to safeguard male fertility.

Decoding heterogeneity in data-driven self-monitoring adherence trajectories in digital lifestyle interventions for weight loss: a qualitative study

BackgroundData-driven trajectory modeling approaches have been used to identify participant subgroups with differing responses to digital lifestyle interventions. Identifying contributing factors to different participant subgroups can inform tailored strategies to early “rescue” intervention non-responders. Self-monitoring (SM) is a central mechanism in lifestyle interventions for driving behavior change and can serve as an early indicator for later intervention response. This qualitative study aimed to compare SM experiences between intervention response subgroups and to identify contributing factors to intervention response subgroups in a 6-month digital lifestyle intervention for adults with overweight or obesity.ResultsParticipants were middle-aged (52.9 ± 10.2 years), mostly female (65%), and of Hispanic ethnicity (55%). Four major themes with emerged from the thematic analysis: Acceptance towards SM Technologies, Perceived SM Benefits, Perceived SM Barriers, and Responses When Facing SM Barriers. Participants across both subgroups perceived SM as positive feedback, aiding in diet and physical activity behavior changes. Both groups cited individual and technical barriers to SM, including forgetfulness, the burdensome SM process, and inaccuracy. The Responder Group displayed positive problem-solving skills that helped them overcome the SM barriers. In contrast, some in the Non-responder Group felt discouraged from SM. Both subgroups found diet SM particularly challenging, especially due to technical issues such as the inaccurate food database, the time-consuming food entry process in the Fitbit app.ConclusionsOur study indicates that qualitative analysis is valuable for translating data-driven findings to actionable intervention improvement strategies. Our findings may inform the development of practical SM improvement strategies in future digital lifestyle interventions for weight loss. Notably, building problem solving skills emerge as a key approach to prevent potential non-responders from intervention disengagement.

Mobilizing DevOps: exploration of DevOps adoption in mobile software development

PurposeThe purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.Design/methodology/approachThe study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.FindingsThe research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.Practical implicationsThe insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.Social implicationsThis study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.Originality/valueThis study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

C-frame thinking: Embedding behavioral economics into ecological economics

This paper aims to explore opportunities for integrating Behavioral Economics (BE) into Ecological Economics (EE). By examining the frames of analysis for both disciplines, this study categorizes BE as operating at the individual level (i-frame), while EE addresses systemic aspects of society (s-frame) and extends its considerations to the biosphere (n-frame), advocating for collective action through bottom-up intermediate-level interventions (c-frame).The study posits that EE can benefit from BE’s rich insights into human behavior and decision-making, especially for c-frame action strategies. However, integrating these disciplines requires finding common ontological and epistemological ground to avoid eclecticism and methodological flaws. The integration is approached in two steps: first, adapting BE epistemology to the systems thinking approach of EE, and second, addressing the ontological gap in BE regarding the world surrounding the individual. This paper argues that embedding BE within EE’s ontology points to the necessity of c-frame thinking for human decision-making.A case study of the ex-GKN factory in Italy demonstrates the practical benefits of c-frame thinking in a complex decision process. An alliance of workers, researchers, and civil society movements collaboratively developed a future plan that considered the needs of all stakeholders, showcasing the effectiveness of collective action.

Assessment of the carbon footprint of total hip arthroplasty and opportunities for emission reduction in a UK hospital setting.

This study aimed to assess the carbon footprint associated with total hip arthroplasty (THA) in a UK hospital setting, considering various components within the operating theatre. The primary objective was to identify actionable areas for reducing carbon emissions and promoting sustainable orthopaedic practices. Using a life-cycle assessment approach, we conducted a prospective study on ten cemented and ten hybrid THA cases, evaluating carbon emissions from anaesthetic room to recovery. Scope 1 and scope 2 emissions were considered, focusing on direct emissions and energy consumption. Data included detailed assessments of consumables, waste generation, and energy use during surgeries. The carbon footprint of an uncemented THA was estimated at 100.02 kg CO2e, with a marginal increase to 104.89 kg CO2e for hybrid THA. Key contributors were consumables in the operating theatre (21%), waste generation (22%), and scope 2 emissions (38%). The study identified opportunities for reducing emissions, including instrument rationalization, transitioning to LED lighting, and improving waste-recycling practices. This study sheds light on the substantial carbon footprint associated with THA. Actionable strategies for reducing emissions were identified, emphasizing the need for sustainable practices in orthopaedic surgery. The findings prompt a critical discussion on the environmental impact of single-use versus reusable items in the operating theatre, challenging traditional norms to make more environmentally responsible choices.

Examining the Care Experiences of People Experiencing Homelessness in Kingston

Background Across Canada, approximately 235,000 individuals face housing instability, and homelessness has been associated with an increased use of emergency department (ED) care. EDs are a safety net for people experiencing homelessness (PEH), when faced with limitations to primary care access, such as limited service hours and locations. PEH have reported negative ED care experiences, including feeling judged, not having health concerns taken seriously, and experiencing stigmatizing behaviour. Prior negative experiences contribute to the avoidance of care services, exacerbating issues for PEH. Objective This study examines the experiences of unhoused populations accessing ED services, to better understand the adversity they face. Methods The study is participatory and cross-sectional, using the sensemaking Spryng.io platform to survey patients at the Kingston Health Sciences Centre EDs. Sensemaking methodology (SM) uses a mixed-methods research approach that collects data through storytelling. This enables individuals to naturally convey complex information and make sense of their experiences. Within the sensemaking survey, individuals who self-identified as a PEH answered an additional subset of questions about their experiences accessing care. Follow-up focus group discussions (FGDs) will take place at St. Vincent de Paul, an organization that supports people in Kingston with resources such as food, clothes, and housing. FGDs will be used to validate the sensemaking results and co-create care improvement strategies. Conclusion By engaging PEH, our results can lead to actionable care improvement strategies. The study is also a foundation for future research collaborating with PEH and community partners, to mitigate negative care experiences.

Acceptance of artificial intelligence: key factors, challenges, and implementation strategies

This research paper investigates the key factors influencing AI acceptance, focusing on elements such as technological readiness, perceived usefulness, and ease of use, along with the organizational and societal impacts. It identifies the significant obstacles to AI adoption, including ethical concerns, data privacy issues, and the potential for job displacement. The study also explores the importance of trust and transparency in promoting AI acceptance, highlighting the necessity for explainable AI (XAI) to build user confidence. Strategies for enhancing AI acceptance are examined, emphasizing the need for robust regulatory frameworks, ongoing education, and skill development to mitigate resistance and boost user engagement. The research stresses the importance of a user-centric approach in AI system design and implementation, taking into account end-user needs and concerns. Additionally, it underscores the value of collaboration between industry, academia, and policymakers in fostering an environment conducive to AI innovation and acceptance. By offering a thorough analysis of the factors affecting AI acceptance and the associated challenges, this paper provides valuable insights and actionable strategies for stakeholders aiming to navigate the complex landscape of AI integration effectively.

Wavelet-based generation of fully non-stationary random processes with application to seismic ground motions

Assessing the performance of earthquake-resistant structural and geotechnical systems is crucial for achieving a desired reliability level and enhancing the resilience of the built environment in seismic-prone regions. Nonlinear dynamic analyses are widely used to quantify structural and geotechnical performance. Still, they require an accurate representation of nonlinear behaviours and proper modelling of the expected seismic events. Stochastic approaches are popular strategies for modelling dynamic actions to account for the uncertain nature of ground shaking. In this framework, joint time–frequency signal representations of seismic records are powerful tools to analyze signals’ time-varying amplitude and frequency content. This paper presents a new method for the stochastic generation of artificial accelerograms using the circular harmonic wavelet transform, which possesses joint time–frequency localization capabilities and offers the engineers a clear and transparent interpretation of the results. The proposed approach adopts a new exponential auto-correlation structure for generating the random phases in the “child (generated) signals” starting from the deterministic ones in the “parent record”. The effects of the correlation structure and different subdivisions of earthquake records in frequency bands are investigated and discussed, leading to practical considerations for identifying an effective trade-off between localization in time and frequency domains. The method can be used for seismic assessment and design purposes, and numerical applications illustrate its potency.

DEVELOPMENT OF THE ISLAMIC RELIGIOUS EDUCATION CURRICULUM CONSIDERING ACADEMIC AND PRACTICAL BALANCE

This study investigates the development of the Islamic Religious Education (PAI) curriculum with a focus on achieving a balance between academic and practical components. The primary objective is to create a curriculum model that integrates theoretical knowledge with practical applications, thereby fostering a comprehensive understanding and real-world skills among students. The research methodology includes qualitative analysis through interviews and observations, providing insights into the strengths and weaknesses of the current PAI curriculum. Key findings suggest that an effective implementation of a balanced curriculum requires meticulous planning, continuous professional development for educators, sufficient resources, and ongoing evaluation. The proposed curriculum model encompasses essential elements such as detailed theoretical instruction, interactive practical activities, and regular assessments to ensure both relevance and efficacy. Furthermore, strategies for successful implementation are highlighted, including stakeholder involvement, structured training programs, and systematic resource allocation. The study's contribution lies in its practical recommendations for educators and policymakers, aimed at enhancing the quality of Islamic Religious Education. By addressing the identified challenges and providing actionable strategies, this research supports the development of a more balanced and effective PAI curriculum, ultimately benefiting the holistic development of students and the educational system as a whole.

How can regional innovation ecosystems attain and maintain stable operation? - an investigation utilising NCA and fsQCA

ABSTRACT This study uses the Multi-Level Perspective (MLP) on socio-technical transitions to develop a theoretical model for analyzing the stable operation of regional innovation ecosystems. Focusing on 30 provinces in China, it employs Necessary Condition Analysis (NCA) and Fuzzy-set Qualitative Comparative Analysis (fsQCA) to systematically examine the configuration paths driving their stability. First, the findings reveal that innovation actors, resources, driving policies, industrial regulations, infrastructures, and the innovation environment are not individually necessary for stability. However, infrastructure is identified as a critical core condition. The study highlights a complex causal relationship and synergistic interplay among the six antecedent conditions. Second, the research identifies two paths to highly stable operation in regional innovation ecosystems: the ‘Innovation Actor + Infrastructure’ path and the ‘Infrastructure’ path. Finally, the results show that configurations for highly and non-highly stable operations exhibit causal asymmetry, indicating ‘different paths to the same destination.’ This study deepens theoretical insights into regional innovation ecosystems and offers actionable strategies for their stable operation.

Overcoming Deterrents to Modular Construction in Affordable Housing: A Systematic Review

The study aims to identify and categorise the deterrents to adopting modular construction (MC) in affordable housing (AH), revealing their interconnections, and proposing strategies to overcome them. A systematic literature review (SLR) was conducted, followed by Pareto analysis and total interpretive structural modelling (TISM). A total of 75 deterrents were identified from 46 studies, spanning 7 categories: environmental, social and cultural, technical and construction, industry and market, administrative and bureaucratic, economic, and regulatory and policy. The top deterrent category was found to be economic, specifically high initial investment costs and financing challenges. Significant deterrents, particularly economic ones, that impede the adoption of MC in AH are revealed. The interconnectedness of these deterrents highlights the need for comprehensive strategies addressing multiple categories simultaneously. Mitigation strategies and countermeasures are proposed to facilitate the adoption of MC. The study is based on the existing literature, which may have limitations in terms of capturing all possible deterrents. Further empirical research is needed to validate and expand upon these findings. A critical gap is filled by this study, which systematically categorises and analyses deterrents to MC in AH and proposes actionable strategies to mitigate them, thereby contributing to more effective and widespread adoption of MC. The findings are valuable to both global audiences and Australian stakeholders and provide insights that allow the barriers to MC in AH to be overcome.

Enhancing business education: neurodiversity informed faculty development practices

Purpose This paper aims to explore the importance of tailored faculty development for neurodiverse business educators. It focuses on how specialized support can enhance research output, teaching effectiveness and service contributions within the academic community. Design/methodology/approach This paper’s conceptual approach uses elements of autoethnography to inform and support prior theoretical and empirical work. An explication of how neurodiversity can be integrated into faculty development efforts is presented with emphasis on individualized support systems, empathetic mentorship and customized teaching and research support strategies to leverage often unrecognized abilities. Findings The research identifies that neuroatypical faculty possess certain strengths such as heightened problem-solving skills and attention to detail, which, when supported, can significantly enrich the academic environment. However, there is a lack of targeted support mechanisms for, and general awareness of, these faculty. The paper proposes modifications to existing faculty development activities, emphasizing general and individualized approaches to better harness the talents of neurodiverse educators. Practical implications Implementing the proposed strategies will foster an inclusive educational atmosphere while enhancing academic creativity, innovation and productivity. This approach also aligns with important trends in diversity and inclusion, promoting a more equitable and dynamic academic environment. Originality/value This research contributes to the field by extending the discourse on neurodiversity in higher education beyond student-focused initiatives to include faculty development. It provides actionable strategies to create inclusive environments that leverage the cognitive strengths of neurodiverse faculty, a relatively unexplored area in business education.

Breaking Barriers: Investigating Technology Adoption in Micro, Small, and Medium Enterprises (MSMEs) Among Low-Income Women Entrepreneurs in Malaysia

In Malaysia, the B40 segment, particularly low-income women entrepreneurs, faces distinct challenges in adopting technology within their businesses. This qualitative study explores the low uptake of technology adoption among these entrepreneurs to understand the underlying dynamics. By addressing the "what" and "why" of low technology adoption, the research aims to provide insights for fostering inclusivity and empowerment within Malaysia's entrepreneurial landscape. The study involved an in-depth focus group discussion with 25 women entrepreneurs from four states across Malaysia, utilizing thematic analysis with Atlas TI. Key findings reveal issues related to technology adoption based on TAM theory. The findings indicate that most entrepreneurs are integrating technology into their business operations, either through social media marketing, e-commerce platforms, cashless payment methods, online delivery services, and machines, regardless of whether they are located in rural or metropolitan areas. The majority of the respondent are utilizing technology through their social media marketing. These situations have arisen as a result of the impact of COVID-19, which has compelled all entrepreneurs to adopt technology, even at a minimal level. The majority use social media platforms like Facebook and WhatsApp for marketing and adopt online banking and cashless payment methods such as DuitNow QR Code, Touch 'n Go, Boost, Shopee Pay, and Sarawak Pay. Despite using online food delivery services like Food Panda and Grab Food, trust issues such as payment delays, non-payment by drivers, and high commission fees make these platforms less appealing. Additionally, entrepreneurs prefer traditional methods over machinery to maintain quality and struggle to meet e-commerce demand due to their small-scale production, limiting their ability to fully use technology for business growth and sustainability. The findings support the theoretical insights of the TAM model and suggest actionable strategies for fostering technology adoption and empowerment among low-income women entrepreneurs in Malaysia.

Beyond SWOT: A New Approach to Strategic Planning

Abstract: This article argues that the traditional SWOT analysis framework that has long been used by organizations for strategic planning is no longer sufficient in today's dynamic business environment. While SWOT provided value in the past by examining internal strengths, weaknesses, opportunities, and threats, numerous studies have shown it has important limitations. A key critique is that SWOT focuses too narrowly on internal factors rather than understanding changing external forces. It also lacks structure to prioritize issues and typically does not translate cleanly into actionable strategies. Given these limitations, the article proposes that organizations should supplement or replace SWOT analysis with the PESTLE framework. PESTLE systematically analyzes the political, economic, social, technological, legal and environmental macro-level factors impacting industries. It facilitates ongoing scanning of trends rather than a static snapshot. The article demonstrates how PESTLE analysis provides richer strategic context through examples in the tourism and healthcare industries. Making this transition allows organizations to develop more robust, resilient strategies aligned with dynamic macro environmental conditions.

Photodynamic inactivation of edible photosensitizers for fresh food preservation: Comprehensive mechanism of action and enhancement strategies.

Foodborne harmful bacteria not only cause waste of fresh food, but also pose a major threat to human health. Among many new sterilization and preservation technologies, photodynamic inactivation (PDI) has the advantages of low-cost, broad-spectrum, energy-saving, nontoxic, and high efficiency. In particular, PDI based on edible photosensitizers (PSs) has a broader application prospect due to edible, accessible, and renewable features, it also can maximize the retention of the nutritional characteristics and sensory quality of the food. Therefore, it is meaningful and necessary to review edible PSs and edible PSs-mediated PDI, which can help to arouse interest and concern and promote the further development of edible PSs-mediated PDI in the future field of nonthermally sterilized food preservation. Herein, the classification and modification of edible PSs, PS-mediated in vivo and PS-mediated in vitro mechanism of PDI, strengthening strategy to improve PDI efficiency by the structure change synergistic and multitechnical means, as well as the application in fresh food preservation were reviewed systematically. Finally, the deficiency and possible future perspectives of edible PSs-mediated PDI were articulated. This review aimed to provide new perspective for the future food preservation and microbial control.

A Sense of Belonging in Online Post-Traditional Students: What Matters?

Online education has experienced a rapid growth and continued to grow, which is driven by the advances in information and communication technologies that facilitate effective interactions both within and outside the online classroom in high education. Despite these advancements, post-traditional students, characterized by their diverse and complex identities, face unique challenges in forming connections within online learning environments. This research focuses on sense of belonging, which is crucial for promoting and consolidating online learning experiences. For post-traditional students, little is currently known about the extent to which they feel a sense of belonging and the factors that influence it. In this research study, we surveyed a sample of online post-traditional learners and used a mixed-methods approach to examine how they feel accepted and valued and how their identities such as academic program, gender, and ethnicity are related to belonging. Our findings indicate that post-traditional learners report an overall moderate level of belonging, with university support, acceptance, and meaningful relationships with faculty and staff being pivotal. Our research did not find significant differences between students in different academic programs or gender groups. However, Hispanic students reported a higher sense of belonging, which can be contextualized within the framework of our university’s designation as a Hispanic-Serving Institution (HSI). By pinpointing the critical and negligible factors affecting sense of belonging, this study provides a comprehensive set of actionable strategies to cultivate a more engaging and supportive online learning environment.