Iterative Cycles Research Articles

Developing and Gathering Validity Evidence for an Instrument to Measure How High School Students Identify as Researchers

AbstractThe authentic research experience, which provides students with meaningful collaborative research opportunities designed to promote discovery and innovation under the guidance of mentors, is increasing as a way to attract and engage students in STEM fields. However, despite the increase in authentic research experiences offered to students, there has been little research, particularly at the high school level, investigating students’ attitudes about themselves as researchers. To address this need, we developed a theory (or construct) for how high school age students self-identify as researchers and a companion survey to measure their identity. After three iterative development cycles, 823 high school students from diverse backgrounds were administered the 12-item survey, the Researcher Identity Survey—Form G (RISG). The partial credit Rasch model (1960/1980) was used to analyze the survey data. The results indicate that the survey identifies and locates high school age students as researchers validly and reliably along an easy to use and interpret scale. The survey holds promise as an important element for use in programs designed to broaden the entryway for students into the STEM disciplines.

A facile and versatile preparation method of sodium alginate-copper sulfide photothermal coating for efficient solar evaporation

Utilizing inexhaustible solar energy for water purification represents a green and sustainable solution to water scarcity. However, the developments of efficient, inexpensive, convenient and reliable photothermal materials remain a major challenge. Herein, a facile and versatile preparation strategy of sodium alginate (SA)-CuS composite coating with superior adhesion and stability has been proposed toward high-efficiency solar-driven interfacial evaporation. The fabrication process can be quickly completed in aqueous solution with cheap reagents. The SA-CuS coating can be firmly adhered on different substrates, which can withstand rinsing treatment, iterative freeze-thaw cycles as well as high and low pH environments. The SA-CuS coating can convert various substrates into photothermal materials with broad light absorption for desirable solar evaporation because of high CuS loading and rough surface. As a proof of concept, a wood evaporator covered with the SA-CuS coating can achieve a water evaporation rate of ∼2.2 kg m−2 h- 1 under one sun illumination, which is superior to most reported wood-based solar evaporators.

Adapting Gamification Strategies According to Targeted Health Behavior Change: Findings from a Focus Group.

In healthcare, improving lifestyle behaviors like medication adherence remains challenging, with an impact on treatment success and patient outcomes. Mobile health (mHealth) applications offer promising solutions by leveraging smartphone ubiquity and digital accessibility. However, sustaining user engagement and behavior change presents obstacles. This study explores the specificities of gamification-integrating game-like elements into non-game contexts-to improve mHealth applications for 3 health behaviors. During a focus group, 15 participants discussed the potential of 17 gamification strategies to improve medication adherence, physical activity, and diet within mHealth applications. Individual choices varied widely, with preferences influenced by targeted behaviors. Physical activity focused on self-monitoring and challenges, while dieting emphasized cooperation. Simulation models were particularly intriguing, projecting long-term benefits of behavior changes. Future research should explore personalized design options and consider individual characteristics. Iterative design cycles with end-users are crucial for refining concepts and sustaining user engagement. Overall, gamification presents an innovative avenue for empowering patients and transforming healthcare delivery.

Field-Assisted Efficient Capturing and Analysis of Airborne Nanoparticulate Matter Using a Multifunctional Nanoporous Membrane.

As the potential adverse health and environmental effects of nanoscale pollutants have garnered significant attention, the demand for monitoring and capturing ultrafine particulate matter has been growing. With the rise in ultrafine dust emissions, this issue has become increasingly important. However, submicron particles require advanced strategies to be captured because of their limited inertial effect. For example, electrostatic air filters have been investigated for their improved performance in the fine particle regime. On the other hand, Raman spectroscopy was proposed as a promising analytical strategy for aerosol particles because it can be used to conveniently detect analytes in a label-free manner. Thus, the synergistic integration of these strategies can open new applications for addressing environment-related challenges. This study presents a multifunctional approach for achieving both air filtration and surface-enhanced Raman scattering (SERS) for analyte identification. We propose a nanoporous membrane composed of a thin gold layer, copper, and copper oxide to provide the desired functions. The structures are produced by performing scalable electrodeposition and subsequent electron-beam evaporation, attaining an excellent filtration efficiency of 95.9% with an applied voltage of 5 kV for 300 nm KCl particles and a pressure drop of 121 Pa. Raman intensity measurements confirm that the nanodendritic surface of the membrane intensifies the Raman signals and allows for the detection of 10 μL of nanoplastic particle dispersion with a concentration of 50 μg/mL. Rhodamine 6G aerosol stream with an approximate particle deposition rate of 0.040 × 106 mm-2·min-1 is also identified in a minimum detectable time of 50 s. The membrane is shown to be recyclable owing to its structural robustness in organic solvents. In addition, the fatigue resistance of the structure is evaluated through 22,000 iterative loading cycles at a pressure of 177 kPa. No performance degradation is observed after the fatigue loading.

Open data platforms: Design principles for embracing outlaw innovators

Open data platforms freely provide citizens with access to public data, thus enabling improved governance transparency, enhanced public services, and increased civic engagement. However, unlocking the potential of this digital transformation strategy requires that public institutions manage the tension between public and private interests. Furthermore, even when public institutions break down traditional barriers for citizens’ access to data, the potential users often lack the knowledge to leverage it in meaningful ways. Open data platforms therefore tend to fall short of expectations. Leveraging a 10-year action design research study (ADR) in the Swedish Transport Administration (STA), this paper develops design principles for creating value-generating open data platforms in the public domain. The ADR project was initiated to assist STA in its efforts to deal with outlaw innovators who scraped train data from different websites to develop travel apps. Through three iterative design cycles that eventually led to the formation of a new open data platform, the outlaw innovators increasingly became valued partners in the digital transformation process. Theorizing this development process, this paper offers three design principles that provide guidance to public institutions aspiring to digitally transform by making public data accessible. We also reflect upon how these institutions might mitigate the risks associated with partnering with outlaw innovators in the pursuit of an open data strategy.

Navigating Choppy Waters: why are we always arguing about risk and uncertainty in marine multi-use environments and what can we do about it?

Arguments about risk and uncertainty are prevalent in marine decision making. Different, often invisible, starting positions of those involved – regarding world views, academic disciplines and positionality – are often responsible. Broadly agreed collective outcomes depend on uncovering these influences. In this article we prioritise navigating multiplicity and plurality rather than constraining them. An iterative cycle of reflection and an openness to make changes are central. However, such a cycle must consider how risk assessment tools open or close possible futures, how evidence is best presented to decision makers, and how mātaurangaMāori is reshaping risk perceptions and is the decisive intervention in creating improved decision-making spaces.

A design layer to support self and social regulation processes of learning in MOOC

Open, social and networked approaches to learning pose challenges for learners, who must assume the role of actively directing their own learning, in interaction and collaboration with others, in an increasingly complex environment. In this context, concepts such as self-direction and self-regulation of learning have attracted renewed interest as umbrella terms for a skill set and provisions that allow subjects to independently guide their own learning process and assume responsibility for it. Moreover, many authors have pointed out various problems regarding MOOC design and quality from a pedagogical perspective. This raises the need for a greater and more holistic understanding of learning regulatory processes and for developing models and instruments to support learners in this regard. This research aims to analyse how to support learning regulation processes as a whole in MOOC environments. This means paying attention to both social and individual dimensions of regulation, by studying how processes of self-regulation, co-regulation and socially shared regulation can be supported and promoted in this type of learning contexts. To this end, we apply the methodology of design-based research in order to intervene directly in the pedagogical practice through an iterative cycle based on stages of design, intervention, reflection and redesign of a design layer to support learning regulation in a MOOC. In this paper we present the design of the regulation support layer proposed in the first research iteration. We begin by presenting its theoretical foundations and then describe the support layer that has been designed as well as the empirical case of an xMOOC were it has been implemented. Finally, some conclusions and recommendations for the design and practice of learning regulation in MOOC are drawn from the results obtained in the first research iteration.

Collaborative inquiry in action: a case study of lesson study for intercultural education

The evolving nature of intercultural education necessitates a shift from static to reflective pedagogies among teachers. This case study investigates the efficacy of a collaborative lesson study (LS) approach in enhancing Chinese university instructors' proficiency in participatory, non-essentialist intercultural teaching. Six English as a Foreign Language instructors at a Chinese university engaged in three iterative LS cycles over one month, integrating new intercultural communication materials into their classes. Data were collected through lesson documents, observations, discussions, and interviews. The immersive LS process significantly expanded instructors' understanding of key intercultural communication concepts, encouraged the adoption of more student-centered methodologies, and prompted critical reflection on prior cultural assumptions. The collaborative engagement facilitated a deeper theoretical grasp and practical application of non-essentialist principles. Challenges included time constraints due to teaching workloads, discomfort in peer feedback exchange, and a broader lack of coordinated intercultural teacher training. Despite these challenges, this study underscores the potential of LS as a robust model for advancing intercultural teaching capacity through collaborative inquiry. It hints at the promise of LS in bridging the theory–practice divide in intercultural education, paving the way for more nuanced, non-essentialist instruction.

2238 How can effective teaching about dementia be integrated into the undergraduate medical curriculum? A realist review

Abstract Introduction The prevalence of dementia is increasing and yet healthcare professionals (HCP) do not always have sufficient education and training to deliver optimal care for patients with dementia (PWD). There is an evidence base as to how to deliver effective undergraduate education about dementia but this is infrequently integrated into the medical curriculum. Methods We undertook a realist synthesis to review the barriers to integrating effective interventions on dementia into the medical curriculum. A realist synthesis differs from a traditional systematic review in terms of explaining how interventions might succeed (or not) in a particular context, involving iterative cycles of literature review and synthesis to develop and refine a ‘programme theory’ (PT). Results We analysed and synthesised twenty relevant studies of undergraduate educational interventions on dementia to identify common themes. We constructed an ‘initial programme theory’ (IPT) to illustrate the contexts where teaching on dementia occurs and outline four main categories of barriers to curriculum integration: culture, concern for patient welfare, student attitudes, and logistics. Conclusion We have identified key barriers to implementation of undergraduate education about dementia, and potential mechanisms to overcome them. The next stage of our realist synthesis is to gather stakeholder feedback on the validity of the IPT before returning to the next cycle of literature review to refine and finalise our PT. This model will serve as a guide for those aiming to successfully integrate effective education about dementia into the medical curriculum.

Optimization of potent, broad-spectrum, and specific anti-influenza compounds targeting RNA polymerase PA-PB1 heterodimerization

Influenza viruses (IV) are single-stranded RNA viruses with a negative-sense genome and have the potential to cause pandemics. While vaccines exist for influenza, their protection is only partial. Additionally, there is only a limited number of approved anti-IV drugs, which are associated to emergence of drug resistance. To address these issues, for years we have focused on the development of small-molecules that can interfere with the heterodimerization of PA and PB1 subunits of the IV RNA-dependent RNA polymerase (RdRP). In this study, starting from a cycloheptathiophene-3-carboxamide compound that we recently identified, we performed iterative cycles of medicinal chemistry optimization that led to the identification of compounds 43 and 45 with activity in the nanomolar range against circulating A and B strains of IV. Mechanistic studies demonstrated the ability of 43 and 45 to interfere with viral RdRP activity by disrupting PA-PB1 subunits heterodimerization and to bind to the PA C-terminal domain through biophysical assays. Most important, ADME studies of 45 also showed an improvement in the pharmacokinetic profile with respect to the starting hit.

Development of an Engineered Sugar Aminotransferase with Simultaneously Improved Stability and Non-Natural Substrate Activity to Synthesize the Glucosidase Inhibitor Valienamine

Sugar aminotransferases (SATs) catalyze the installation of chiral amines onto specific keto sugars, producing bioactive amino sugars. Their activity has been utilized in artificial reactions, such as using the SAT WecE to transform valienone into the valuable α-glucosidase inhibitor valienamine. However, the low thermostability and limited activity on non-natural substrates have hindered their applications. Simultaneously improving stability and enzyme activity is particularly challenging owing to the acknowledged inherent trade-off between stability and activity. A customized combinatorial active-site saturation test-iterative saturation mutagenesis (CAST-ISM) strategy was used to simultaneously enhance the stability and activity of WecE toward valienone. Fourteen hotspots related to improving the stability–\\activity trade-off were identified based on evolutionary conservation and the average mutation folding energy assessment of 57 residues in the active site of WecE. Positive mutagenesis and combinatorial mutations of these specific residues were accomplished via site-directed saturation mutagenesis (SSM) and iterative evolution cycles. Compared with those of the wild-type (WT) WecE, the quadruple mutant M4 (Y321F/K209F/V318R/ F319V) displayed a 641.49-fold increase in half-life (t1/2) at 40 °C and a 31.37-fold increase in activity toward the non-natural substrate valienone. The triple mutant M3 (Y321F/K209F/V318R) demonstrated an 83.04-fold increase in (t1/2) at 40 °C and a 37.77-fold increase in activity toward valienone. The underlying mechanism was dependent on the strengthened interface interactions and shortened transamination reaction catalytic distance, compared with those of the WT, which improved the stability and activity of the obtained mutants. Thus, we accomplished a general target-oriented strategy for obtaining stable and highly active SATs for artificial amino-sugar biosynthesis applications.

Community pharmacists’ roles during the closure stage of the COVID-19 pandemic in Newfoundland and Labrador, Canada: a qualitative case study

ObjectivesTo explore the experiences and perspectives of community pharmacists regarding their roles during the closure stage (ie, March to May 2020) of the COVID-19 pandemic in Newfoundland and Labrador (NL),...

Co-Design Workshops to Develop a Psychosocial Support Service Model for Refugees in Sweden Affected by Gender-Based Violence.

Experiencing gender-based violence (GBV) is common among refugees. Intersecting systems of oppression can increase the risk of GBV and of suffering detrimental consequences, while concurrently creating barriers to meaningful support. Despite this, refugees with lived experience of GBV are rarely involved in the development, planning and adaptation of services and policies. This article reports on a formative research process that aimed to involve public contributors (refugee victim-survivors of GBV) and relevant stakeholders in co-designing a service model aimed at improving psychosocial support in Sweden. Led by a partnership of public contributors and academic researchers, the research process consisted of iterative cycles of co-design workshops, complemented by scoping of existing literature. The co-design process resulted in a characterisation of the psychosocial service system needs, as perceived by the survivor co-researchers and stakeholders, and a two-level empowerment and support service model. The model included (i) a community-based intervention to promote help-seeking and (ii) psychosocial group support delivered in specialist clinics. Outcomes of the project included perceived benefits for those involved, service-led direct changes and acquisition of funding for continued research on the co-designed model. Improving psychosocial support for refugees in Sweden affected by GBV requires safe spaces to connect with peers and familiarise with available services, laws and rights in the society. Further, strengthened collaborations across sectors are necessary to meet the variety of needs. Co-design workshops were an effective way to initiate changes in the service delivery model for psychosocial support for refugees in Sweden affected by GBV. This is a participatory reflection on a participatory process. The survivor co-researchers contributed to designing and carrying out the PPI process and have co-authored this manuscript.

COCOFUEL: A Microcontroller-Based Biodiesel Production Machine

In the global landscape, the coconut stands out, with over 61 million tons harvested annually, yielding approximately 75 coconuts per tree annually. Recognizing its multifaceted benefits, including its suitability as a biofuel, various countries have endeavored to develop biodiesel production machines, each employing distinct methodologies and chemical compositions. Central to these efforts has been the drive to optimize production efficiency while minimizing costs, encompassing chemical inputs, procedural complexity, and energy consumption. This project undertook the design and implementation of a microcontroller-based machine tailored exclusively for biodiesel production via the transesterification method, utilizing coconut oil, methanol, and a catalyst. Adopting the Rapid Application Development framework, the project unfolded through iterative cycles, encompassing analysis, design, prototyping, testing, and refinement. The machine’s core functionalities were orchestrated by the Arduino Mega microcontroller, orchestrating the operation of washer motors, solenoid valves, and the heating rod, complemented by a relay, Bluetooth module, and voltage regulator. Thorough testing and evaluation underscored the machine’s reliability and efficacy in producing biodiesel from coconut oil, marking a significant stride toward renewable en ergy advancement. This accomplishment not only heralds progress in green energy solutions but also offers a compelling response to the environmental imperatives associated with conventional diesel fuels. The potential for reduced carbon emissions and the promotion of environmental sustainability amplifies the significance of this development, charting a course toward a greener future through the synergy of natural resources and cutting -edge technology.

An Empirical Study for the Dynamic and Personalised Learning Experience of the AI Course Generator

In a world that is quickly evolving, the demand for continuous learning and upskilling is critical for personal and professional growth. However, many learners struggle to create personalised, efficient learning paths tailored to their unique needs due to the limitations of traditional course creation methods, which require significant human input and expertise. This project aims to address this problem by developing "modulo," an innovative platform designed to automate the creation of personalised and structured learning paths. The objectives of “modulo” are to leverage artificial intelligence and external APIs to generate customised study plans for any chosen subject, integrate curated YouTube tutorials and supplemental materials, and enhance the learning experience with adaptive quizzes tailored to user progress. The methodology follows an Iterative-Waterfall approach, combining structured phases with iterative cycles to incorporate feedback and adapt to emerging challenges. The system architecture is built on a microservices framework, with a frontend developed using React and Next.js, and a backend supported by Supabase with Prisma for database management, NextAuth for user authentication, and Stripe for payment processing. The result is a scalable and maintainable platform that empowers diverse user groups by enhancing education accessibility. “modulo” provides a dynamic and personalised learning experience, making a meaningful impact on self-directed learning

Why do pressure injuries still occur? A multicenter qualitative study of nurses and caregivers

BackgroundThe frequent occurrence of pressure injuries despite their preventability, raises important questions about our understanding of the barriers to care. This study explores the lived experience of nurses and caregivers in Singapore to establish a conceptual framework for better understanding pressure injuries arising in the community. MethodsA multicentre qualitative study was conducted utilising semi-structured interviews and focused group discussions of nurses and caregivers of patients with pressure injuries. Data was collected with a narrative inquiry approach and analysed with grounded theory. An iterative cycle of interviewing, coding, discussion and reflection was conducted until theoretical saturation. ResultsTen inpatient nurses and ten caregivers from the community were recruited. Analysis identified cognitive (awareness and caregiver training), emotional (motivation and empowerment), resource (human and infrastructural), and biomedical factors which collectively impacted the effectiveness of prevention. Additionally, constructs of learning and sustainability of caregiving played a crucial role in long term prevention. LimitationThe derived framework requires further validation with quantitative data and may not be generalizable to other cultural and economic populations. ConclusionMultiple constructs have been identified to have a synergistic effect in prevention. Targeted measures should be implemented by healthcare institutions to better equip caregivers in prevention.

Identification of 6,9-dihydro-5H-pyrrolo[3,2-h]quinazolines as a new class of F508del-CFTR correctors for the treatment of cystic fibrosis

Although substantial advances have been obtained in the pharmacological treatment of cystic fibrosis (CF) with the approval of Kaftrio, a combination of two correctors (VX-661, VX-445) and one potentiator (VX-770), new modulators are still needed to rescue F508del and other CFTR mutants with trafficking defects. We have previously identified PP compounds based on a tricyclic core as correctors with high efficacy in the rescue of F508del-CFTR on native epithelial cells of CF patients, particularly in combination with class 1 correctors (VX-809, VX-661). Compound PP028 was found as a lead candidate for the high rescue of F508del-CFTR and used for mechanistic insight indicating that PP028 behaves as a class 3 corrector, similarly to VX-445.From the exploration of the chemical space around the hit structure, based on iterative cycles of chemical synthesis and functional testing, the class of 6,9-dihydro-5H-pyrrolo [3,2-h]quinazolines with corrector activity was discovered. Within a series of 38 analogues, two derivatives emerged as promising candidates and used for further insight to assess the mechanism of action. Both compounds, decorated with a benzensulfonylamino group at the pyrimidine moiety, were able to generate a dose-dependent increase in CFTR function, particularly in the presence of VX-809. Half-effective concentrations (EC50) were in the single digit micromolar range and decreased in the presence of VX-809 thus indicating a synergistic interaction with class 1 correctors. Synergy was also observed with corr-4a (class 2 corrector) but not with VX-445 and PP028 (class 3 correctors) indicating that the new compounds behave as class 3 correctors. These results suggest that tricyclic pyrrolo-quinazolines interact with CFTR at a site different from that of VX-809 and represent a novel class of CFTR correctors suitable for combinatorial pharmacological treatments for the basic defect in CF.

Advancements in project management methodologies: Integrating agile and waterfall approaches for optimal outcomes

Advancements in project management methodologies have revolutionized the way organizations execute complex projects, aiming for optimal outcomes amidst evolving challenges and dynamic environments. This paper explores the integration of Agile and Waterfall approaches as a strategic response to enhance project effectiveness and efficiency. Traditionally, Waterfall methodology has been predominant in industries requiring structured planning and predictable outcomes. Its sequential phases—requirements gathering, design, implementation, testing, and deployment—ensure a methodical progression from initiation to completion. However, its rigidity in accommodating changes during the project lifecycle has been a notable limitation in fast-paced industries where flexibility and rapid adaptation are paramount. In contrast, Agile methodology emerged as a transformative alternative, particularly suited for projects with uncertain or evolving requirements. Agile emphasizes iterative development cycles, continuous stakeholder engagement, and adaptive planning. These principles enable teams to respond swiftly to changes, deliver incremental value, and maintain high levels of transparency and collaboration throughout the project. Recognizing the strengths of both methodologies, practitioners have increasingly advocated for their integration—a hybrid approach that harnesses the structured planning of Waterfall with the adaptive flexibility of Agile. This integration allows organizations to capitalize on Waterfall's clarity in project scope and deliverables while leveraging Agile's responsiveness to customer feedback and evolving market demands. Key challenges in integrating these methodologies include reconciling differences in project planning, managing stakeholder expectations across iterative cycles, and aligning team dynamics to embrace a blended approach. Effective integration strategies often involve clear delineation of phases suitable for Waterfall and Agile, fostering a culture of collaboration and continuous improvement, and utilizing project management tools that support hybrid methodologies. Successful case studies illustrate the benefits of this integrated approach, including accelerated time-to-market, improved product quality, enhanced stakeholder satisfaction, and optimized resource allocation. Moreover, organizations that adopt hybrid methodologies demonstrate resilience in navigating uncertainties and complexities, positioning themselves competitively in dynamic markets. In conclusion, the integration of Agile and Waterfall methodologies represents a paradigm shift in project management, offering a holistic framework that balances structured planning with adaptive execution. As industries continue to evolve, embracing hybrid approaches promises to drive innovation, improve project outcomes, and sustain long-term organizational success. Keywords: Advancement, Project Management, Methodologies, Integrating Agile, Waterfall Approaches.

An Evaluation of the Experimental Science Teaching Program for Primary Education from the Teachers’ Perspective: An Educational Design Research Journey

The concerns about ensuring scientific literacy for all are underpinned by international recommendations from organizations such as the UN and the OECD for science education. They advocate for science education from a contextualized, sequential, systematic, and active perspective on the students’ learning process, starting from the early years of schooling. It is based on these pedagogical principles that the research project the “Experimental Science Teaching Program” (PEEC) was founded. This article aims to disseminate an evaluation of the PEEC for primary education, which includes a science teaching curriculum proposal, teaching activities and resources (e.g., digital games), and assessment record instruments for learning. This program was developed using an Educational Design Research methodological approach based on iterative cycles, with the collaboration of a multidisciplinary team (e.g., teachers, researchers, and children). For a final evaluation of the PEEC components, we consulted the ten participating teachers through a questionnaire survey one year after the end of their official collaboration. The main results highlight the relevance and appropriateness of the proposals presented for the targeted age group and the assumptions and objectives of science education in terms of the curriculum, teaching resources, and digital assessment games. Teachers also mentioned continuing to use the PEEC resources after their participation in this study. These results underscore the need to expand and promote projects of this nature to contribute to more practical science education in Portugal and, consequently, to increase children’s levels of scientific literacy.

Research on software reliability enhancement methods based on iterative development

Iterative development is an agile software development methodology that speeds up the development process and increases the flexibility of software delivery. However, the current software requirements change extremely fast, which leads to its increasing uncertainty, and iterative development also faces the challenge of software reliability. The software reliability enhancement method based on iterative development is researched and discussed for the current situation of insufficient reliability in the traditional software development process. In traditional software development, one-time delivery pressure and overall design complexity often lead to software functional defects and instability, affecting software reliability. The iterative development method, on the other hand, improves software reliability by decomposing the software development process into multiple iterative cycles, each of which contains requirements analysis, design, coding, and testing, updating the software functionality in smaller increments, and gradually improving the software product. This study proposes a software reliability improvement methodology by exploring and analyzing the key factors related to reliability in the iterative development process. This dissertation can establish a reliable and high-quality software development process through the steps of meticulous requirements planning and management, iterative development and testing, automated testing and continuous integration, code quality control, defect management and continuous improvement, user feedback and user engagement, and continuous learning and technology enhancement.