Development Of Collaborative Model Research Articles

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

Large Language Models (LLMs) have become instrumental in advancing software engineering (SE) tasks, showcasing their efficacy in code understanding and beyond. AI code models has demonstrated their value not only in code generating but also in defect detection, enhancing security measures, and improving overall software quality. They are emerging as crucial tools for both software development and maintaining software quality. Like traditional SE tools, open-source collaboration is key in realising the excellent products. However, with AI models, the essential need is in data. The collaboration of these AI-based SE models hinges on maximising the sources of high-quality data. However, data especially of high quality, often holds commercial or sensitive value, making it less accessible for open-source AI-based SE projects. This reality presents a significant barrier to the development and enhancement of AI-based SE tools within the software engineering community. Therefore, researchers need to find solutions for enabling open-source AI-based SE models to tap into resources by different organizations. Addressing this challenge, our position paper investigates one solution to facilitate access to diverse organizational resources for open-source AI models, ensuring privacy and commercial sensitivities are respected. We introduce a governance framework centered on federated learning (FL), designed to foster the joint development and maintenance of open-source AI code models while safeguarding data privacy and security. Additionally, we present guidelines for developers on AI-based SE tool collaboration, covering data requirements, model architecture, updating strategies, and version control. Given the significant influence of data characteristics on federated learning, our research examines the effect of code data heterogeneity on federated learning performance. We consider 6 different scenarios of data distributions and include 4 code models. We also include 4 most common federated learning algorithms. Our experimental findings highlight the potential for employing federated learning in the collaborative development and maintenance of AI-based software engineering models. We also discuss the key issues to be addressed in the co-construction process and future research directions.

A Model for Collaborative Immersive Classroom Management Development Using Multi-user Virtual Reality

Classroom management has been ­­identified as a key challenge in becoming a teacher, as newly qualified teachers are overwhelmed by the complexity of professional teaching practice. This paper explores the transformative potential of immersive technologies in fostering a collaborative reflection and problem-solving space for the continued development of newly qualified teachers’ classroom management competencies – allowing newly qualified teachers to become better prepared for facing the unexpected, local, and situated challenges of becoming a teaching professional. Through iterative cycles of design-based research, we have developed a model of immersive collaborative classroom management training using multi-user Virtual Reality. The model consists of four phases: (1) 360-degree video recording, creating an immersive version of the classroom and the complex interactions that occur within it. (2) clip selection, giving teachers the ability to select clips that are relevant for them and their practice. (3) Multi-user Virtual Reality training, allowing teachers to get feedback on their selected clips and construct actionable knowledge together with local teaching supervisors (4) Debriefing, for ensuring the joint understanding and transfer of knowledge to practice. Through analysing teacher’s and supervisors’ meaning making processes of 18 selected video clips across five multi-user Virtual Reality training sessions, we uncover three main phases: Analysis, Abstraction, and Actionability. By being able to collaboratively watch, re-watch, and discuss selected video clips and moving between these three main phases, teachers and supervisors co-create actionable knowledge, creating an improved understanding of current practices, and supporting the ability to transform future practices. These findings contribute both theoretical insights and practical implications for educators and learning designers, emphasising the importance of creating social immersive reflective spaces in which real situations may be revisited in order to examine the intricacies of classroom practices, allowing newly qualified teachers to better engage with their profession.

Development of Collaborative Online Learning Model Based on Case Method in Optics Courses to Train Creative and Communication Skills

Learning models really need to be developed to meet the demands of the world of work and keep up with existing technological developments, especially in the field of physics. This study aims to produce a collaborative online learning model based on the case method in optics courses. This research uses the Research and Development (R&D) method with the ADDIE model. The ADDIE model has five steps that need to be carried out in a structured manner because they are systematic, namely analysis, design, development, implementation and evaluation. The number of participants in this research consisted of 12 physics education students from Uhamka Jakarta and 13 physics education students from Unismuh Makassar. The number of lecturers involved was 5 people, with details of 3 from Unismuh Makassar lecturers and 2 from Uhamka Jakarta lecturers, all participants, both lecturers and students, carried out activities in the collaborative LMS that had been developed previously. The based on the process of implementing a collaborative online learning program. The analysis stage is the first step which aims to match the learning outcomes with the type or form of the digital module in the Optics course chosen. The design stage is to organize and design learning activities and videos. The development stage is the stage of building digital modules by assembling them into SPADA Unismuh Makassar. The number of students in the high improvement category in creative skills is 50% and in written communication skills is 60%. This shows that the use of collaborative online learning design in optics lecture activities related to geometric optics material has moderate effectiveness in improving creative thinking and communicative skills.

Study on the Selection of Recycling Strategies for the Echelon Utilization of Electric Vehicle Batteries under the Carbon Trading Policy

Global climate change has prompted all sectors of society to take urgent action to reduce carbon emissions. Electric vehicles are the key to low-carbon transportation transformation, but their popularity has led to difficulties in disposing of used batteries. Improper handling will pollute the environment and violate the original goal of promoting low-carbon practices. Therefore, it is crucial to establish a sustainable battery-recycling and disposal system. This study uniquely incorporates the concept of battery echelon utilization into its analytical framework using a Stackelberg game model, exploring the equilibrium strategies for stakeholders in a closed-loop supply chain under carbon emission constraints. We analyzed the impact of multiple factors in the recycling process, as well as the influence of digital technology, on enterprise pricing, recycling efficiency, and the choice of recycling channels. The study found that the market pricing of batteries and electric vehicles is not influenced by recycling participants, but is instead related to the application of digital technology. Numerical simulations further reveal that the battery’s echelon utilization rate and carbon emission limit policies jointly motivate enterprises to be more proactive in recycling. In the joint recycling model, battery suppliers can achieve more substantial profit growth compared to electric vehicle manufacturers, providing new insights and directions for innovation and the development of collaborative models within the supply chain.

Networked aspects of lifelong work-integrated learning

The increasingly digitalised and continuously changing working life needs a continuous lifelong professional development that preferably is networked and work-integrated. This this study builds upon university teachers' and course participants’ experiences from a technology enhanced project called BUFFL A pilot project that combines truly work-integrated learning with lifelong learning, in a strive to address the contemporary need for continuous professional development. The important aim in the BUFFL project is to develop a model for collaborative, flexible, and lifelong professional development. A new and interesting concept in the BUFFL project was to involve concept of Bringing Your Own Data for activities in course modules. The aim of this study is to describe and discuss the lifelong work-integrated learning in the BUFFL project from a networked learning perspective. Data were gathered from e-mail interviews with teachers, e-mail conversations between teachers, facilitators and course participants, and from course evaluations. Results from the data sources have been grouped into three main themes in an inductive thematic analysis. Findings show that in academia, in industry, and in the in between a potential is found in the form of collaborative learning. A networked collaboration that should involve the theories from academia, combined with real-world-problems in the workplace, to achieve a fruitful meeting between academia and the industry

TABLET TOSCANA to Develop Innovative Organizational Models for Tele-Rehabilitation in Subjects with Congenital and Acquired Developmental Disabilities: A Wait-List Control Group Trial Protocol.

Background/Objectives: In recent years, the advent of new technologies has fostered their application in neuro-psychomotor and language rehabilitation, particularly since the COVID-19 pandemic. Tele-rehabilitation has emerged as an innovative and timely solution, enabling personalized interventions monitored by clinicians. TABLET TOSCANA project aims to develop innovative tele-rehabilitation organizational models in children, adolescents and young adults with congenital and acquired developmental disabilities, using the Virtual Reality Rehabilitation System (VRRS) Home Kit and the MedicoAmico APP. Methods: The trial is designed according to the CONSORT statement guidelines. The project encompasses three phases: adapting the technologies for pediatric use, validating them through a wait-list study, and analyzing feasibility and effectiveness data to define new organizational models. A randomized wait-list-control study with 100 subjects aged 6 to 30 years will compare tele-rehabilitation versus prosecution of standard care. Discussion: Although literature highlights tele-rehabilitation benefits such as improved access, cost savings, and enhanced treatment adherence, practical implementation remains limited (i.e., the definition of standardized procedures). TABLET TOSCANA project seeks to address these gaps by focusing on multi-domain treatments for neurodevelopmental disabilities and emphasizing the integration of tele-rehabilitation into local health services. Conclusion: The project aims to improve the continuity and intensity of care through innovative models that integrate tele-rehabilitation into local health services. The results could inform healthcare policies and promote the development of innovative and collaborative models of care, paving the way for more effective and widespread tele-rehabilitation solutions and fostering collaborative networks among professionals.

Empirical Investigation into Collaborative Model Development for Resolving Tenure Conflicts in Forested Regions

Tenure conflict is a challenge and dilemma experienced by many countries. The dilemma is because on the one hand, there is an interest in preserving forests, on the other hand, there are claims to land ownership in forest areas long before they are designated as forest areas. The next dilemma is that the party claiming property rights is generally used for agricultural activities which have been the main livelihood for generations. This study tries to examine the incidence of tenure conflicts in various countries to map how these conflicts occur, the factors that encourage land tenure approaches in resolving them, and government (state) policies. Using secondary data resulting from a review of previous research published in reputable international journals and other reliable and credible reports. The review study model used is systematic with meta-synthesis. Apart from journals, secondary data comes from other reliable and credible reports. Data and materials consist of 67 reputable international journals and 14 books/reports published in the last ten years. The results of the analysis found that tenure conflicts were caused by many things, motivated by the ownership and interests of natural resources specifically for agriculture for the lives of the surrounding community. An interesting fact is that the handling of tenure conflicts in several countries is considered successful, marked by the provision of access to forest management ownership. Other studies such as those conducted in Latin America, Africa, and Asia offer partnership models to resolve tenure conflicts. Similar things have also been done in Indonesia but have not been completely successful. Learning from this, this research offers a model for developing forest management partnerships to resolve tenure conflicts in forest areas, while also accommodating special agricultural activities for local communities. The model offered theoretically complements and/or perfects the models used so far which have proven unsuccessful in resolving conflicts. The practical implications are a reference for the government and interested parties to resolve tenure conflicts so that forests are maintained and can provide benefits for community welfare.

The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry

ABSTRACT Creativity has long been viewed as the bastion of human expression. With the advent of generative artificial intelligence (AI), there is an emerging notion of artificial creativity that contests traditional perspectives of artistic exploration. This paper explores the complex dynamics of this evolution by examining how generative AI intertwines with and transforms the art world. It presents a comprehensive analysis of the challenges posed by generative AI in art, from questions of authenticity and intellectual property to ethical dilemmas and impacts on conventional art practices. Simultaneously, it investigates the revolutionary opportunities generative AI offers, including the democratization of art creation, the expansion of creative boundaries, and the development of new collaborative and economic models. The paper posits that the integration of generative AI in art is not just a technological advancement but a significant cultural shift, which necessitates a reevaluation of our understanding of art and the artist. It concludes with a forward-looking perspective, advocating for a collaborative approach to harness the potential of this technology in enriching human creativity and ensuring the vibrant evolution of the art world in the era of AI-driven generation.

Engaging Paradoxical Tensions in Cross-Sectoral Collaborative Business Model Development for Sustainability: A Case Study in the Urban Energy Transition

This article presents an in-depth case study on cross-sectoral collaborative business model development (CBMD) that is pressured to produce systemic sustainability transformations. Drawing on paradox theory, we identify three paradoxical tensions—value, creativity, and consumer tensions. While engaging these tensions offers synergy and creativity potential, engagement barriers limit stakeholders’ ability to harness this potential. Stakeholder networks can access synergy potential by engaging meso-level tensions through increased trust and collaboration. Yet, macro-level engagement barriers posed by governments and society lead to a reliance on incumbent patterns and reduce creativity. This research advocates for reconsidering CBMD processes and regulatory frameworks to enable engagement with these paradoxical tensions. Our implications offer insights for industries transitioning from centralized models to more individualized, decentralized approaches. The findings underscore the necessity of promoting reciprocal interactions and engagement across different levels and the early integration and strategic orchestration of stakeholders to cultivate trust and align objectives.

How Do Health Worker Qualities Affect Collaborative Skills? A Qualitative Study in Rural Indonesia Primary Health Services

Health problems are complicated, even more so in remote areas. Collaboration has emerged as a solution to this complex problem. Some specific health worker qualities have been identified as related to the success of the collaboration, but the transformation of these qualities into collaborative behaviour remains unclear. An epistemological model of collaborative skills development was built and it was confirmed by the experiences of health workers. A research model based on interpretivism epistemology was also developed. The model was then generated using a qualitative methodology with a coding framework using deductive and inductive approaches based on the literature review and the interviews. Ten previously assigned health workers were interviewed to list their personal qualities and functions to overcome collaboration problems. The specific personal qualities of health workers determine each type of collaboration. The personality of health workers does not affect their collaborative skills with the community but is directly related to interprofessional collaboration skills.

Collaborative development model and strategies of multi-energy industry clusters: Multi-indicators analysis affecting the development of coastal energy clusters

The paper explores Coastal Energy-Based Industrial Clusters (EBICs) and their role in advancing energy efficiency and sustainability through collaborative innovation. Economic growth theory and energy sustainability have been introduced into industrial clusters to illustrate indicators that have a greater impact on the development of EBICs. This paper proposes an EBICs development model based on the Cobb-Douglas function, in which accounts for various factors that drive the progress of such clusters. The outcomes of the economic model also provide insights into how the interaction of various factors affects the economic growth of EBICs and their eventual dominance in the energy market of coastal regions, dependent on gradually investing in areas such as research and development (R&D). Different development strategies demonstrate that the final development of a cluster has low dependence on the cluster's initial advantages. The study also illustrates how clusters can gradually monopolize the energy market, even with initial disadvantages. Through quantitative analysis, it showcases the transformation process of developing advantageous clusters into sub-clusters. Next, an energy symbiosis framework for coastal is proposed, which places greater emphasis on the multi-energy complementary system and reduces production costs. Finally, this paper also sheds light on shaping energy strategies for public authorities who shape economic policies at various levels of aggregation and in diverse dimensions.

The Collaborative Policy Modeling Paradox: Perceptions of water quality modeling in the Chesapeake Bay Watershed

The Chesapeake Assessment Scenario Tool (CAST) serves multiple key functions in meeting nutrient reduction targets across the Chesapeake Bay Watershed (CBW) and is embedded in the water quality governance system. To investigate contested perspectives regarding the model, we interviewed 59 stakeholders engaged in model governance across the CBW. We recorded statements regarding the accuracy, legitimacy, and credibility of the model, influences on its use, and on challenges and opportunities. We found skepticism regarding the legitimacy of CAST, including suggestions its role facilitates a “paper process” of policy design and that past experience has greater influence on policy decisions than model predictions. However, despite its perceived shortcomings, CAST has been central in helping stakeholders in prioritizing mitigative activities. With respect to credibility, most respondents believe the model underestimates the effects of nutrient-reduction practices, thereby underestimating progress toward TMDL-related goals. Respondents also identified opportunities for model improvement, emphasizing co-benefits of conservation practices over and above nutrient reduction. Overall, our analysis demonstrates a Collaborative Policy Modeling Paradox: collaborative model development is necessary for effective policy modeling, but the political processes of collaborative model development can negatively impact perceptions of salience, credibility, and legitimacy. Although it is important to recognize this paradox, as it is linked to dissatisfaction with the models, our findings also point to areas where improvement has occurred and to future opportunities for development.

Development of a Digital Tourism Model Using Virtual Reality as Sociological Restoration at the Foot of Mount Sinabung

Mount Sinabung is an active volcano located in the Karo Highlands, specifically in the Karo Regency of North Sumatra, Indonesia. Sinabung and Mount Sibayak, located in North Sumatra, are both active volcanoes and rank as the second-highest peaks in the province. However, it saw a dramatic resurgence and became active once more with a volcanic eruption on August 27, 2010. The most recent eruption of this mountain took place on February 19, 2018 and is ongoing. The significance of this situation prompted the study team to engage in the development of an empowerment paradigm. The objective of this study is to create a digital tourism framework for communities impacted by the eruption of Mount Sinabung, utilizing virtual reality technology as a means to facilitate societal repair. The research methodology employed is a hybrid approach. The data results are processed and evaluated using a customized technique that takes into account the specific demands of the community and parties involved in the collaborative model development. This analysis is done both qualitatively and quantitatively. The analytical stage of discussing the desired digital tourist model employs the theory of viewing techniques, which is akin to reading, in the form of the selection stage.

Impact Analysis and Development of Collaborative Communication Models in Public Relations Programs for Mangrove Conservation

Mangrove forests, as coastal ecosystems, play a crucial role in maintaining the sustainability of fishery resources and protecting shores from erosion and storms. However, mangrove degradation continues to escalate, primarily due to human activities such as shrimp pond expansion and uncontrolled logging. Public Relations programs can serve as effective tools to raise awareness and engage communities in mangrove conservation. Impact analysis and the development of a collaborative communication model are key to understanding the effectiveness of such programs. This research aims to analyze the impact of the Public Relations program on mangrove conservation and develop a more effective collaborative communication model. The focus is on understanding behavioral changes, community responses, and the program's contribution to the sustainability of the mangrove ecosystem. The research methodology employed is qualitative-descriptive with an impact analysis approach. Interviews with representatives from local communities, local governments, non-governmental organizations, and Public Relations practitioners were conducted to gather data. Content analysis was also performed on the program's communication materials. The research findings indicate that the Public Relations program has positively impacted the increase in community awareness and behavioral changes related to mangrove conservation. However, challenges persist concerning environmental uncertainties and the lack of participation from certain segments of the community. A collaborative communication model integrated with mangrove conservation theories, impact analysis, and community engagement proves essential for further improvement. The implications of this research reflect the importance of impact analysis and developing collaborative communication models in Public Relations programs for mangrove conservation. These findings underline that active collaboration with various stakeholders is key to ensuring the sustainability of mangrove ecosystems.

High impact sustainable transdisciplinary collaboration model for food justice

ABSTRACT This article summarizes the development of a High Impact Sustainable Transdisciplinary Collaboration Model for Food Justice based on the work done by faculty from different disciplines—engineering, business, and agriculture—with their corresponding courses in the last 5 years. Our experience aims to show the general picture of sustainable entrepreneurship education through our transdisciplinary collaboration model to promote experiential learning, generating interest among students across traditional disciplinary boundaries to explore problems from different perspectives and create sustainable solutions in a concrete, real-life context. Our model requires transdisciplinary collaboration, where students from diverse academic majors develop the knowledge and skills associated with their respective fields and apply them in a unique setting to solve food security issues. This experience has been formalized into a Preparation, Action, Reflection, and Evaluation (P.A.R.E.) Community-Engaged Scholarship Model that infuses sustainability and that can be easily understood and transferred to other institutions with similar contexts and challenges.

К ВОПРОСУ О ГОСУДАРСТВЕННОЙ ПОДДЕРЖКЕ ПРОЕКТОВ ПО КООПЕРАЦИИ ВУЗОВ, ПРЕДПРИЯТИЙ И ОРГАНОВ ВЛАСТИ В ОБЛАСТИ ЦИРКУЛЯРНОЙ ЭКОНОМИКИ РОССИИ

In terms of the transformation of education, industry, and the international system, taking into account the sanctions pressure and Russia's transition to a technological sovereign and circular economy, it is relevant to explore the possibilities for creating new conditions to support cooperation between universities, businesses, and the government. This article focuses on research related to the characteristics of state support for the development and implementation of projects and initiatives to establish cooperative interactions in the field of a circular economy among various organizations, including universities, research institutions, enterprises, regional authorities, specialized committees, associations, clusters, and other professional bodies. Some attention is also paid to analyzing the regulatory framework in this area. The article discusses the development of collaborative models for cooperation in the creation of innovative circular economy projects. The authors emphasize the significant role of universities in developing circular economy projects and securing government funding for their implementation. They also highlight the importance of collaborating with professional organizations and businesses to share knowledge and find partners for consortium formation. The article proposes considering potential forms of government support for the circular economy, including various innovative project types that could stimulate waste recycling and reduce natural resource consumption. It also emphasizes the significance of transitioning from raw material exports to an innovative development path for the Russian Federation.

Research on the Collaborative Development Model of Industrial Design Education driven by Artificial Intelligence - An Interdisciplinary Approach Based on Student Creativity and Practice

Research on the Collaborative Development Model of Industrial Design Education driven by Artificial Intelligence - An Interdisciplinary Approach Based on Student Creativity and Practice

Investigating privacy-preserving machine learning for healthcare data sharing through federated learning

Privacy-Preserving Machine Learning (PPML) is a pivotal paradigm in healthcare research, offering innovative solutions to the challenges of data sharing and privacy preservation. In the context of Federated Learning, this paper investigates the implementation of PPML for healthcare data sharing, focusing on the dynamic nature of data collection, sample sizes, data modalities, patient demographics, and comorbidity indices. The results reveal substantial variations in sample sizes across substudies, underscoring the need to align data collection with research objectives and available resources. The distribution of measures demonstrates a balanced approach to healthcare data modalities, ensuring data fairness and equity. The interplay between average age and sample size highlights the significance of tailored privacy-preserving strategies. The comorbidity index distribution provides insights into the health status of the studied population and aids in personalized healthcare. Additionally, the fluctuation of sample sizes over substudies emphasizes the adaptability of privacy-preserving machine learning models in diverse healthcare research scenarios. Overall, this investigation contributes to the evolving landscape of healthcare data sharing by addressing the challenges of data heterogeneity, regulatory compliance, and collaborative model development. The findings empower researchers and healthcare professionals to strike a balance between data utility and privacy preservation, ultimately advancing the field of privacy-preserving machine learning in healthcare research.

Looking for related posts on GitHub discussions.

Software teams increasingly adopt different tools and communication channels to aid the software collaborative development model and coordinate tasks. Among such resources, software development forums have become widely used by developers. Such environments enable developers to get and share technical information quickly. In line with this trend, GitHub announced GitHub Discussions-a native forum to facilitate collaborative discussions between users and members of communities hosted on the platform. Since GitHub Discussions is a software development forum, it faces challenges similar to those faced by systems used for asynchronous communication, including the problems caused by related posts (duplicated and near-duplicated posts). These related posts can add noise to the platform and compromise project knowledge sharing. Hence, this article addresses the problem of detecting related posts on GitHub Discussions. To achieve this, we propose an approach based on a Sentence-BERT pre-trained general-purpose model: the RD-Detector. We evaluated RD-Detector using data from three communities hosted in GitHub. Our dataset comprises 16,048 discussion posts. Three maintainers and three Software Engineering (SE) researchers manually evaluated the RD-Detector results, achieving 77-100% of precision and 66% of recall. In addition, maintainers pointed out practical applications of the approach, such as providing knowledge to support merging the discussion posts and converting the posts to comments on other related posts. Maintainers can benefit from RD-Detector to address the labor-intensive task of manually detecting related posts.

Green technology diversification, technology vertical spillovers, and energy intensity in Chinese cities

Drawing from patent data spanning 2011-2016 in 249 Chinese prefecture-level cities and urban scale multi-region input-output (MRIO) table data, this paper empirically demonstrates that as green technological diversification levels escalate, the energy intensity of Chinese prefecture-level cities exhibits an initial increase followed by a decline. Green technological diversification indirectly influences urban energy intensity through vertical spillovers of green technology across the upstream and downstream sectors within the supply chain. Medium-sized cities, service industry-oriented cities, and those in the early stages of industrialization need to prioritize development of multiple green technologies to surpass the diversification turning point. The finding suggests a strategic transition for Chinese cities from a single green technology agglomeration model to a cluster model of collaborative development of multiple green technologies.