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    M-Thyroid Care Mobile App: Virtual Video Consultation Application for Thyroid Clinic

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    The present study aims to enhance thyroid clinics by proposing solutions through collaboration between medical experts and researchers, thereby enhancing the quality of healthcare services. To minimize unnecessary in-person consultations, a doctor requested the development of an app to address non-critical physical consultation appointments. Design-based research is a robust methodology that combines theory-driven inquiry with real-world problem-solving to develop interventions or serve as the basis for the research being discussed. M-Thyroid Care is designed to provide a practical and cost-effective platform for online consultations, facilitating video calls between patients and doctors. By leveraging this technology, the app aims to enhance patient monitoring and optimize the efficiency of thyroid clinic consultations. Moreover, the integrated chat feature allows for real-time communication, fostering effective doctor-patient interaction even outside of scheduled appointments. Additionally, the app enables the sharing of files, videos, and images, empowering doctors to review diagnostic reports and relevant visual data remotely. This further streamlines the consultation process. By reducing the reliance on physical visits for non-critical cases, the app has the potential to enhance access to specialized care, decrease wait times, and optimize resource utilization in the clinic setting. The prototype has the potential to enhance patient care, as demonstrated by this proactive engagement with stakeholders

    Impact of Recommended Resources in a Mobile Learning Environment on Self-Regulated Learning Abilities among Higher Education Students

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    With the rapid development of mobile technology, mobile learning has increasingly become a significant trend in higher education. Offering flexibility in time and space, online learning introduces new opportunities and challenges for student education. Particularly, the potential of mobile learning to foster students’ self-regulated learning (SRL) abilities remains largely untapped. SRL abilities refer to students’ capacity to proactively set goals, manage resources, monitor progress, and evaluate outcomes during the learning process, which is crucial for learning effectiveness. Although existing research has started to examine the impact of mobile learning on students’ self-regulation abilities, there is still a significant lack of quantitative analysis of students’ learning resource preferences and the development of personalized recommendation methods based on the preferences. This study aims to quantitatively analyze the learning resource preferences of higher education students and propose a novel, preference- based equitable recommendation method for mobile learning to support their SRL. The anticipated results are expected to provide theoretical and methodological support for higher education practices, enhance students’ SRL abilities, and offer new strategies for the effective utilization of mobile learning resources

    Navigating Anxiety in a Cloud E-learning Virtual Environments: The Moderating Role of Anxiety on Lecturers’ Adoption of Cloud Computing E-learning

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    The rapid expansion of cloud computing e-learning systems has empowered educators to reach learners worldwide. However, a critical study gap exists: the impact of lecturers’ technological anxiety on their adoption intentions remains unexplored in the technical universities in Ghana. This study addresses this gap by investigating anxiety’s influence on lecturers’ cloud computing e-learning adoption intentions within a virtual environment (VE). We examine the mediating role of competitive pressure and the moderating role of anxiety. Using PLSSEM, we analysed data from surveys conducted among 1395 lecturers across all 10 technical universities. With a high response rate of 90.2% (n = 1258), our analysis reveals moderate anxiety among lecturers regarding cloud e-learning adoption. The proposed model explains 21.1% of the variance in adoption intentions. Interestingly, competitive pressure on lecturers mediates the relationship between cloud e-learning usefulness, security, and adoption decisions. Additionally, anxiety moderates the effects of cloud computing complexity, security, and adoption intentions. We have recommended organizing regular training workshops, ensuring user-friendly platforms, implementing robust security measures, and providing psychological support for lecturers using cloud computing technologies

    The Impact of Mobile Interactive Technologies on Promoting Students' Innovative Capabilities in Higher Education

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    This paper aims to explore the impact of mobile interactive technologies on fostering the development of students’ innovative capabilities in higher education and proposes a solution to the sequential recommendation problem. Initially, we define the importance of students’ innovative capabilities and identify the potential applications of mobile interactive technologies in this context. We analyze existing research and identify limitations in meeting individualized student needs, mobile interactive social relationships, and contextual information. To address this research gap, this paper presents a specific definition of the sequential recommendation problem that aims at enhancing the development of students’ innovative capabilities and constructs a sequential recommendation model that integrates contextual information and mobile interactive social relationships. Composed of an embedding representation layer, a spatial-temporal hierarchical pooling (SHP) layer, and a fusion prediction layer, this model is designed to better capture students’ personalized learning preferences and social influences, offering precise learning resource recommendations to promote the development of their innovative capabilities

    Heutagogy Approach in Mobile Learning: Developing Technology-Enabled Lifelong Learning

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    Students in higher education are using mobile devices, which challenges our understanding of what it means to learn in modern environments. By using mobile devices as instructional aids, students gain a variety of social, cognitive, and technical abilities. Mobile devices may therefore be seen as supporting the growth of employability skills and broader lifelong learning, both of which may be helpful in a variety of circumstances. The quickly evolving landscape of technology and education presented teachers with a number of challenges, and they had to retrain and refresh their skills in order to provide practical training. As a result, heutagogical methods are ideal for enhancing their collective knowledge and skills. Online and blended learning (BL) offer a learning environment that incorporates technological affordances to facilitate learning. This enables the growth of an independent, capable, and self-directed lifelong learner. Heutagogy provides an educational strategy in this context that may link the development of lifelong learning competencies with BL and online learning environments. Using this methodology, we investigate the potential contribution of online and blended higher education to technology-enabled lifelong learning where heutagogical experiences are available. The results support the notion that heutagogy and lifelong learning are linked by some basic concepts that apply to both mixed and online learning environments

    Implementation of AI in Smart Logistics Based on Mobile Technologies

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    These days, transport and logistics are undergoing a major transition due to the introduction of smart technologies (STs). STs use data science and artificial intelligence (AI) technologies, like big data and machine learning, to develop cognitive awareness of an object with the help of IoT and blockchain-based information and communication technologies. Currently, several ST applications have shown promise in raising the efficacy and efficiency of diverse transport and logistical systems. Furthermore, the modeling challenges posed by these new, cutting-edge technologies to conventional optimization techniques provide a wealth of fresh research opportunities for the development of novel optimization procedures in the field of logistics and transportation studies. The most effective system was discovered to be the human-AI one. The ultimate objective is to empower users with more knowledge and encourage safer, more organized, and “smarter” usage of transportation networks on mobile technologies. The Internet of Things (IoT) offers countless prospects for improved transportation management and new services related to logistics and data integration

    Co-Creating a Learning Community: Teaching Sustainability in Higher Education

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    This study explores the emergence of a distinctive learning-community aspect of teaching sustainability. It uses action nets to describe major contributions shaping a learning community about sustainability. The results describe how the growing learning community of research, externally funded projects, teaching strategies, students, NGOs, and regional industry is framed within a sociotechnical network of actants and identifies events exposing the transitions in the making. Based on the findings, we discuss lessons learned from the co-creation, increasing the awareness of mechanisms involved in gaining (and regaining) support needed to create the new approach to teaching sustainability. The learning community mirrors, in many ways, the systemic nature of sustainability and sustainable development. It also introduces the uncertainty and ambiguity inherent in the transitions. It was easier than anticipated to mobilize resources, but the connections between the different contributions are also delicate, and we experience the learning community as something like fresh produce—something we must create and recreate continuously

    Efficacy Testing of the Comprehensive Institutional Model (CIM) using Design-based Research: Instrumental Case Study

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    COVID-19 was a “black swan” event that forever altered higher education’s adult teaching and learning landscape by requiring a pathway shift in institutional resources to meet student and faculty support needs for academic success and institutional sustainability. Over the last two years, thousands of scholarly articles have been published about the challenges that higher education institutions (HEIs) faced during COVID-19 and their lasting impact on student learning, faculty engagement, and institutional operations in the post-COVID environment. Many researchers offer strategies and guidance to help address the challenges; however, research is limited to testing these strategies and proposed models designed to mitigate the challenges and manage such a crisis in the future. The proposed study will help close this gap by assessing the efficacy of the Comprehensive Institutional Model (CIM), developed based on the findings of Perceptions of Online Strategies and Digital Readiness in the COVID-19 Environment: An Instrumental Case Study by McCray et al. [19]. The CIM aims to provide HEIs with a model to support Hy-flex learning environments to ensure readiness for new emergencies and the aftermath of a “new normal” in higher education. The model organizes how aligning administrators, faculty, and graduate students impacts effective Hy-flex teaching and learning environments. Design-Based Research (DBR) will be used to systematically collect and analyze evidence-based testing results of the CIM across three iterations

    Fostering Diversity and Inclusion in Medicine: Collaborating with Extended Reality and Medical Simulation in the Metaverse

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    Metaverse is a term used to describe a hypothetical shared virtual space where people can interact with a computer-generated environment and each other, and there are multiple metaverses currently being developed by various companies and organizations. Cooperation in the metaverse is at the core of the ongoing digital revolution that impacts the way we design and deliver overall education and training. Medical simulation is a powerful way to deliver education and training, based on the use of technology and other techniques to recreate clinical scenarios for the purpose of teaching and training healthcare professionals and students. This article is about how to involve learners in a metaverse within the medical simulation field. The key questions that we address are as follows: What is the metaverse today? What will it look like in a few years? How do we enhance medical simulation based on cooperation in the metaverse? How do we engage learners with diversity and inclusion

    Study of Free Fall Using an Ultra-Concurrent Laboratory at the University

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    This article presents the results of the educational use of an ultra-concurrent laboratory during the second semester of 2022, in the Cisale Chair of the Common Cycle of the University of Buenos Aires in order to strengthen the experimental scenarios and quality of the process in the teaching of physics. For this purpose, a quantitative descriptive study in which 68 students participated was carried out. This allowed establishing a significant scenario with the implementation of the ultra-concurrent free-fall laboratory to enhance experimental development in physics teaching processes. It is concluded that remote laboratories are promising technologies for teaching physics at the university level. However, it should be clarified that the impact of an educational innovation does not only depend on the technology used, but also on the didactic design with which it is approached

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