Collaborative Mode Research Articles

Exploring Language Teacher Education through Researcher-Practitioner Co-construction of Differentiated Instruction

Differentiated instruction has been advocated for embracing learner diversity, but it has been found that differentiated instruction implementation is difficult and teachers often feel unprepared. This qualitative case study explored the professional development of two English language teachers in two participating schools of a school-university collaboration project on diversity management in Hong Kong. Based on the data collected from co-planning meetings, lesson observations, semi-structured interviews, focus groups and artefacts, the study showed that research-informed teaching and teaching-informed research were both indispensable to differentiated instruction infrastructure building; school cultures and teacher efficacies both affected teachers’ attitudes towards researcher-practitioner collaboration modes for professional development. Teachers whose efficacy and professional learning community remained at a developing stage tended to rely on an expert-guided collaboration mode. Yet, those whose efficacy and professional learning community had advanced would prefer a more self-redirected learning mode. These findings shed light on bridging the researcher-practitioner divide in teacher education.

The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading

The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.

Dynamic and efficient device collaborations in 5G‐advanced and 6G networks

AbstractCollaborative transmission, comprising multiple devices owned by a single user, is progressively evolving into an essential strategy to meet the stringent demands of burgeoning collaborative scenarios in 5G‐advanced and 6G networks. This paper proposes three novel use cases for device collaboration, namely data duplication, data splitting and wireless backup, to address these requirements. To provide dynamic and efficient collaboration, both non‐transparent mode via the medium access control layer collaboration and transparent mode via the physical layer collaboration are proposed. The paper further introduces a comprehensive design framework including protocol stack design, user equipment capability reporting, user equipment pairing, scheduling mechanism and transmission mechanism for different collaborative use cases with different collaborative modes. Evaluation outcomes reveal that the recommended methods could decrease the resources consumed for data duplication while increasing the user perceived throughput for data duplication and data splitting. The proposed methods also augment transmission reliability for both data duplication and wireless backup.

Exploring the effect of collaboration modes on firms’ breakthrough technological innovation: a perspective from the innovation ecosystem

PurposeBreakthrough technological innovation is of vital significance for firms to acquire and maintain sustainable competitive advantages. The construction of an innovation ecosystem and the interaction with heterogeneous participants have emerged as a new dominant model for driving sustained breakthrough technological innovation in firms. This study aims to explore the effects of collaborative modes within the innovation ecosystem on firms’ breakthrough technological innovation and the ecological legitimacy mechanisms involved.Design/methodology/approachThe research employs data from 212 innovative firms and conducts empirical research using a two-stage structural equation modeling (SEM) and artificial neural network (ANN) analysis.FindingsThe results indicate that firm-firm collaboration (FF), firm-user collaboration (FU), firm-government collaboration (FG), firm-university-institute collaboration (FUI) and firm-intermediary collaboration (FI) all have significant positive effects on breakthrough technological innovation (BTI), with FU being particularly crucial. Furthermore, the results confirm the positive moderating effects of ecological legitimacy (EL) on the relationships between FF and BTI, as well as between FU and BTI. Conversely, EL has a negative moderating effect on the relationship between FUI and BTI, as well as between FI and breakthrough technological innovation. Additionally, EL does not have a significant influence on the relationship between FG and BTI.Originality/valueThrough resource dependence theory (RDT), this study unveils the black box of how collaboration modes within innovation ecosystems impact breakthrough technological innovation. By introducing ecological legitimacy as a contextual factor, a new research perspective is provided for collaboration innovation within innovation ecosystems. The study employs a combination of SEM and ANN for modeling, complementing nonlinear relationships and obtaining robust results in complex mechanisms.

Analysis of virtual standardized patients for assessing clinical fundamental skills of medical students: a prospective study

BackgroundHistory-taking is an essential clinical competency for qualified doctors. The limitations of the standardized patient (SP) in taking history can be addressed by the virtual standardized patient (VSP). This paper investigates the accuracy of virtual standardized patient simulators and evaluates the applicability of the improved system’s accuracy for diagnostic teaching support and performance assessment.MethodsData from the application of VSP to medical residents and students were gathered for this prospective study. In a human–machine collaboration mode, students completed exams involving taking SP histories while VSP provided real-time scoring. Every participant had VSP and SP scores. Lastly, using the voice and text records as a guide, the technicians will adjust the system’s intention recognition accuracy and speech recognition accuracy.ResultsThe research revealed significant differences in scoring across several iterations of VSP and SP (p < 0.001). Across various clinical cases, there were differences in application accuracy for different versions of VSP (p < 0.001). Among training groups, the diarrhea case showed significant differences in speech recognition accuracy (Z = -2.719, p = 0.007) and intent recognition accuracy (Z = -2.406, p = 0.016). Scoring and intent recognition accuracy improved significantly after system upgrades.ConclusionVSP has a comprehensive and detailed scoring system and demonstrates good scoring accuracy, which can be a valuable tool for history-taking training.

Modes of Collaboration in a Collaborative Constitution

Modes of Collaboration in a Collaborative Constitution

Stability Analysis of Innovation Collaboration between Commercial Banks and Fintech Companies

Recently, there has been an increasing trend among commercial banks to collaborate with fintech companies in order to promote corporate innovation. However, due to the uncertainty and turbulence of the business environment, it is difficult for the collaborators to generate full trust to integrate knowledge and resources. Innovation collaboration often suffers from instability. The objective of this study is to identify the factors that influence the stability of innovation collaboration and clarify the path of collaboration evolution. Based on prospect theory and evolutionary game theory, this study first establishes an evolutionary game model between commercial banks and fintech companies (fintechs), and analyses the factors influencing the stability of their collaboration. The findings indicate that the benefits and costs of innovation collaboration, the fairness of income distribution, the complementarity of knowledge and technology, the synergy of collaboration, and the perceived value of gains and losses by partners all influence the stability of innovation collaboration. This study’s findings provide valuable guidance for banks and fintech companies to balance the benefits and costs of collaboration and improve the stability of collaboration. In the future, the government will be considered as a new game player, and bilateral relations will be considered as a new mode of collaboration in studying the stability of innovation collaboration.

Palliative care screening tools and patient outcomes: a systematic review

BackgroundPalliative care (PC) refers to providing patients with physical, psychological, mental, and other care and humanistic care services in a multidisciplinary collaborative mode with end-of-stage patients and family members as...

The impact of PACK on the adoption of Metaverse in Oman

In the rapidly evolving digital landscape, e-learning methods have emerged as a highly influential phenomenon in higher educational institutions. The adoption of e-learning has transformed traditional face-to-face teaching environments into flexible and collaborative modes of education through the utilization of the metaverse platform. However, limited research has addressed the educational aspect of students' adoption of the metaverse platform. This study aims to bridge this gap by examining a conceptual model that incorporates crucial factors such as Technological Pedagogical Content Knowledge (TPACK), Technology Self Efficacy (TSE), Perceived Enjoyment (PE), Perceived Complexity (PC), Perceived Value (PV), and Controlled immersion, interaction, and imagination (III). A survey involving 342 students from Omani universities was conducted, revealing that TPACK positively influences metaverse adoption. The noteworthy impact of perceived enjoyment, perceived complexity, and perceived value were also observed. These findings underscore the significance of these factors in shaping the adoption of the metaverse and enhancing the e-learning experience. The practical implication of this study emphasizes the need for educational institutions to develop strategies enhancing technological skills, engagement, and content relevance in e-learning, particularly in the metaverse, to improve student adoption and learning experiences. This involves focusing on technological pedagogy, student confidence in technology use, and creating immersive, enjoyable, and valuable learning environments.

Towards Human-AI Teaming to Mitigate Alert Fatigue in Security Operations Centres

Security Operations Centres (SOCs) play a pivotal role in defending organisations against evolving cyber threats. They function as central hubs for detecting, analysing, and responding promptly to cyber incidents with the primary objective of ensuring the confidentiality, integrity, and availability of digital assets. However, they struggle against the growing problem of alert fatigue, where the sheer volume of alerts overwhelms SOC analysts and raises the risk of overlooking critical threats. In recent times, there has been a growing call for human-AI teaming, wherein humans and AI collaborate with each other, leveraging their complementary strengths and compensating for their weaknesses. The rapid advances in AI and the growing integration of AI-enabled tools and technologies within SOCs give rise to a compelling argument for the implementation of human-AI teaming within the SOC environment. Therefore, in this article, we present our vision for human-AI teaming to address the problem of alert fatigue in the SOC. We propose the 𝒜 2 𝒞 Framework, which enables flexible and dynamic decision making by allowing seamless transitions between automated, augmented, and collaborative modes of operation. Our framework allows AI-powered automation for routine alerts, AI-driven augmentation for expedited expert decision making, and collaborative exploration for tackling complex, novel threats. By implementing and operationalising 𝒜 2 𝒞, SOCs can significantly reduce alert fatigue while empowering analysts to efficiently and effectively respond to security incidents.

Exploration of Human-Machine Collaboration Mode in Brand Pattern Creative Design

Exploration of Human-Machine Collaboration Mode in Brand Pattern Creative Design

Open Archaeology, Open Source? Collaborative practices in an emerging community of archaeological software engineers

In this article, we investigate modes of collaboration in this emerging community of practice using 'open-archaeo ', a curated list of archaeological software, and data on the activity of associated GitHub repositories and users. We conduct an exploratory quantitative analysis to characterise the nature and intensity of these collaborations and map the collaborative networks that emerge from them. We document uneven adoption of open source collaborative practices beyond the basic use of git as a version control system and GitHub to host source code. Most projects do make use of collaborative features and, through shared contributions, we can trace a collaborative network that includes the majority of archaeologists active on GitHub. However, a majority of repositories have 1-3 contributors, with only a few projects distinguished by an active and diverse developer base. Direct collaboration on code or other repository content - as opposed to the more passive, social media-style interaction that GitHub supports – remains very limited. In other words, there is little evidence that archaeologists ' adoption of open-source tools (git and GitHub) has been accompanied by the decentralised, participatory forms of collaboration that characterise other open-source communities. On the contrary, our results indicate that research software engineering in archaeology remains largely embedded in conventional professional norms and organisational structures of academia.

What is the Right Size for Truckload Carrier Alliances?

In spot markets for truckload transportation services, centralized collaboration among carriers is often regarded as an ideal way to determine which load (a.k.a. shipment) is delivered by each carrier. The challenge of getting all competing carriers to collaborate under a centralized system (instead of being rivals for loads) has prompted interest in collaboration modes that are on a smaller scale than complete centralization. In this research vein, this paper answers the following question: for the small-scale collaboration of decentralized load exchange among small alliances of willing carriers, how close do the performance results (profits, etc.) come to the purported ideal results under centralization? Our core finding from extensive computational experiments is that, by collaborating with the right load exchange partners, a carrier in a small and easier-to-manage alliance can achieve financial savings that closely match and sometimes even surpass the per carrier savings from a fully centralized system. This, and some closely related insights, comprise this paper’s main contributions to the literature. The practical relevance of the contributions is in facilitating decisions about how much effort is worth expending on having every carrier within geographic network participate in a centralized system.

Nexus Between Sarcopenia and Microbiome Research: A Bibliometric Exploration.

Despite over 30 years of microbiome and skeletal muscle research, no quantitative analysis of sarcopenia and the microbiome literature had been conducted. Our bibliometric study examined research status, hotspots, and future trends. We utilized bibliometric techniques to search the Science Citation Index Extended Database on February 27, 2023, using the Bibliometrix package in R to create a map displaying scientific production and subject categories. Collaborative network maps between countries/regions were visualized using Scimago Graphica, while VOSviewer explored collaboration modes among individuals and institutions. We analyzed the top 25 emerging keywords, top co-occurring keyword networks, and co-occurring keyword clusters using CiteSpace. A total of 997 articles were retrieved for sarcopenia and microbiome, of which 633 papers were analyzed. Both the number of publications and total citation frequency had been continuously increasing. The United States had the highest total citation frequency, while China had the highest number of publications. Research on the impact of the microbiome on sarcopenia was in its nascent stage and spans multiple disciplines, including nutrition, microbiology, geriatrics, immunology, endocrinology and metabolism, molecular biology, and sports medicine. The University of Copenhagen contributed the most to the number of publications (n=16), with Tibbett M (n=7) and Hulver MW (n=7) among the top authors. The most published journal was "Nutrients" (n=24). Analysis of keywords and clusters revealed new research hotspots in microbes and sarcopenia, such as malnutrition, dietary fiber, signaling pathways, frailty, and intestinal permeability. Research on the impact of the microbiome on sarcopenia is in its infancy and spans multiple disciplines. Malnutrition, dietary fiber, signaling pathways, frailty, and intestinal microbes are currently research hotspots. Furthermore, the visual atlas analysis of research on microbes and sarcopenia helps to track the knowledge structure in research fields related to sarcopenia and microbes, providing direction for future research.

Advancing collaborative social outcomes through place-based solutions—aligning policy and funding systems

Abstract More collaborative and human-centered approaches to tackle social problems of entrenched disadvantage have been introduced in many countries, including Australia, but with mixed results. Traditional programs that reinforce existing political and bureaucratic processes have been seen as blockers to collaborative modes of policymaking, governance, and delivery. Drawing on collaborative governance perspectives, this paper reports new research undertaken in conjunction with a not-for-profit organization (Collaboration for Impact) involved in supporting place-based collaborative community change efforts. Research findings, based on stakeholder perspectives, highlight not only the potential benefits of a more collaborative model (i.e., placed-based and community driven) but also the significant unresolved challenges for “backbone” coordination bodies, which have recently been established to achieve more “joined-up” policy, funding, and service delivery arrangements. The paper concludes by proposing a practice-driven focus on policy and funding systems, together with implications for policy learning and program design.

The future of clinical trials—goals, ideas, and discussion

SummaryClinical trials are subject to an ever-evolving landscape of treatment options, regulatory requirements, socioeconomic conditions, and paradigms of scientific research. In this opinion paper, we illustrate current methods and topics with a focus on clinical trial designs, conduct and modes of collaboration. The example of successful clinical breast cancer research in Austria demonstrates the opportunities, but also the challenges for academic research. We also investigate potential pitfalls, and suggest new ideas and strategies on how to increase practicability along with transparency and fairness, but ultimately also scientific and clinical relevance of clinical trials in oncology.

A method for identifying different types of university research teams

Identifying research teams constitutes a fundamental step in team science research, and universities harbor diverse types of such teams. This study introduces a method and proposes algorithms for team identification, encompassing the project-based research team (Pbrt), the individual-based research team (Ibrt), the backbone-based research group (Bbrg), and the representative research group (Rrg), scrutinizing aspects such as project, contribution, collaboration, and similarity. Drawing on two top universities in Materials Science and Engineering as case studies, this research reveals that university research teams predominantly manifest as backbone-based research groups. The distribution of members within these groups adheres to Price’s Law, indicating a concentration of research funding among a minority of research groups. Furthermore, the representative research groups in universities exhibit interdisciplinary characteristics. Notably, significant differences exist in collaboration mode and member structures among high-level backbone-based research groups across diverse cultural backgrounds.

Learning by design: Enhancing online collaboration in developing pre‐service TESOL teachers' TPACK for teaching with corpus technology

AbstractIn this study, we integrated corpus technology in pre‐service TESOL (Teaching English to Speakers of Other Languages) teachers' technological pedagogical content knowledge (TPACK) development in corpus technology, termed corpus‐based language pedagogy (CBLP), and highlighted the collaborative effort for knowledge building among participants for TPACK development. The study examined the role of online collaboration in facilitating how pre‐service TESOL teachers developed their CBLP (TPACK in corpus technology) using a learning‐by‐design approach, enacted it in co‐designing lessons, revised their lessons and reflected on their collective knowledge building processes. Using a case study approach involving 33 participants, the study focused on both intra‐ and inter‐group interactions to understand the pre‐service teachers' learning dynamics/changes and unpack the interaction mechanism involved in online collaborative learning. To these ends, we collected data including CBLP group lesson designs, intra‐group data (interviews) and inter‐group peer critical comments and analysed them based on the two stages (comprehension and transformation) of Shulman's pedagogical reasoning. The results suggest that engaging in online collaboration, facilitated by the learning‐by‐design approach, is instrumental in enabling pre‐service teachers to learn corpus technology and expand their repertoire of teaching strategies. Our findings imply that both intra‐ and inter‐group collaboration modes are important to help pre‐service TESOL teachers holistically develop TPACK for language teaching. Similar implications may be applied to other subject‐specific TPACK training.Practitioner notesWhat is already known about this topic Teacher preparation programmes play a crucial role in developing pre‐service teachers' technological, pedagogical, and content knowledge (TPACK) TPACK integration into pedagogical practice and subject‐specific professional development opportunities are important for effective teaching, but there is a lack of research on subject‐specific TPACK development (eg, TPACK in language teaching) Online collaborative learning can support TPACK development, but most studies focused on intra‐group interactions with little attention to inter‐group interactions What this paper adds Introduces a new corpus‐based language pedagogy (CBLP) for TESOL teachers to help them develop TPACK in language teaching Presents an innovative two‐step training framework for developing TESOL teachers' TPACK in corpus technology Examines the role of online collaboration in developing pre‐service TESOL teachers' TPACK for teaching with corpus technology through learning by design Provides in‐depth qualitative data analysed both qualitatively and quantitatively to investigate the specific roles that intra‐group and inter‐group interactions play in shaping pre‐service TESOL teachers' CBLP development Develops an analytical framework comprising nine categories (under the comprehension and transformation stages of Shulman's pedagogical reasoning model) to code pre‐service TESOL teachers' TPACK development in corpus technology Finds that intra‐group interactions facilitate both comprehension and transformation stages, while inter‐group interactions predominantly facilitate the transformation stage of CBLP Implications for practice Emphasises hands‐on corpus‐searching skills and guidance on browsing corpora when designing CBLP lessons Encourages both within‐group and between‐group interactions in online collaborative learning to foster TPACK development for using corpus technology in teaching language subjects Considers incorporating similar approaches for developing other subject‐specific TPACK for other teaching subjects

Efficient Resource Management and Expansion Scheme for Collaborative Edge-Cloud Computing

Integrating the advantages of both the edge and the cloud, the edge-cloud computing system emerges to provide high-quality computing services for mobile users. To improve system efficiency, we investigate a hybrid mode of resource collaboration and expansion for the edge-cloud computing system, in which edge servers not only can collaborate with the cloud by purchasing high-priority computation resources temporarily but also can expand their local computation resources permanently. In such a way, the edge server can maximize its long-term profit by making a trade-off between the purchasing cost and the expanding cost. By formulating the resource management problem as a long-term profit maximization one, we first analyze the relationships among the expected minimal purchasing cost, the computation delay, and the available computation resources. Then, we design an efficient resource reserving and expanding scheme to determine the optimal expected amounts of reserving resources and expansion resources. Next, we propose an efficient real-time resource purchasing scheme to obtain the optimal amount of real-time purchasing resources dynamically. Finally, simulation results show that the proposed efficient resource collaboration and expanding scheme can maximize the long-term profit while guaranteeing the computation delay.

Feminist elsewheres. A Making(-)Of Three Festivals in the Making

feminist elsewheres takes the question of an elsewhere of feminist film history as a foundation of its engagement with two events that took place at the Arsenal cinema in Berlin: the First International Women’s Film Seminar in 1973, which is considered the starting point of the feminist film movement in West Germany, as well as its 1997 revisitation titled…the point is to change it. Films, Festivals, Feminism. In 2023, feminist elsewheres celebrated over fifty years of feminist film work with a film program, workshops, and an exhibition. This text is collectively authored by feminist elsewheres and its objective is twofold: introducing the historical present of these events while at the same time reflecting on feminist modes of collaborations as central strategies in shaping film history. No film stands alone, No history is stable, feminist elsewheres is many.