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    Vocational Education in the Era of Big Data: Course Design and Optimization Strategy Based on Educational Technology

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    In the era of big data, vocational education is confronted with the challenge of effectively utilizing students’ learning behavior data. With the advancement of information technology, the accumulation of students’ learning trajectories and behavior data presents new opportunities for the optimization of education and teaching. Currently, many studies focus on the analysis of short-term learning behaviors, while comprehensive consideration of both long- and short-term behaviors remains insufficient, limiting the precision of course design and resource recommendations. Therefore, the exploration of an optimization strategy that integrates students’ long- and short-term learning behaviors is urgently needed to enhance the effectiveness of vocational education. This study aims to propose a course design and optimization strategy based on educational technology, with a focus on integrating students’ long- and short-term learning behaviors, thereby presenting corresponding resource recommendation methods and course design plans. The study will provide more personalized and precise teaching solutions for vocational education, promoting the enhancement of educational quality

    The Impact of Interactive Mobile Learning on Enhancing University Students’ English-Speaking Proficiency

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    In the context of globalization, proficiency in English-speaking is crucial for the academic and career development of university students. However, traditional English teaching methods often fall short in effectively enhancing students’ speaking proficiency. With the advancement of information technology (IT), interactive mobile learning has gradually emerged as a vital teaching tool, offering new avenues for teaching English speaking. By leveraging the convenience and diversity of mobile devices, interactive mobile learning provides students with a flexible environment to improve their speaking proficiency. The current study predominantly focuses on the integration of technology and education, but there is limited investigation into the specific applications and effectiveness of interactive mobile learning in enhancing Englishspeaking proficiency. Furthermore, existing studies tend to provide fragmented analyses of mobile learning interaction behaviors and their constituent elements, failing to fully reveal the advantages of this approach. This study aims to construct an interactive mobile learning framework tailored to university students’ English-speaking practice, analyze the interaction behaviors and elements within this framework, and explore its impact on improving students’ speaking proficiency. The goal is to enrich the theoretical system of interactive mobile learning and provide practical insights for English-speaking teaching in higher education

    Mindfulness, Kindergarten, and Mobile Applications

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    The following review explores the use of mobile applications in mindfulness practices. Also, it examines the fundamental characteristics of mobile applications that might enhance their effectiveness. This study is the third and final phase of a project that aims to investigate the advantages of technology and mindfulness in kindergarten. In the first two parts, we examined the use of social robots and virtual reality in mindfulness interventions. The objective of this paper is to present existing research on mobile applications and mindfulness, evaluate the possible advantages and obstacles of combining these two fields, and also analyze the features of the apps that lead to optimal results. We conducted a bibliographic review of articles. The results of our study indicate that mindfulness applications have a substantial impact on the development of children’s mindfulness abilities, such as their ability to regulate attention and manage emotions, while also enhancing their general well-being. Advances in mobile technology provide opportunities to overcome barriers to traditional mindfulness training because they are portable devices that are also cost-effective. According to our findings, the apps should be age-appropriate, simple, and engaging. However, there is limited empirical evidence supporting the efficacy of many available mindfulness apps. We need further research to explore and validate their effectiveness, especially in comparison to traditional in-person interventions

    Analyzing and Designing the Utility of Virtual Reality for Nursing Fundamentals Lab

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    The COVID-19 pandemic prompted many universities worldwide to adopt distance learning, creating a significant gap in hands-on skills training, particularly in health and nursing education. To address this challenge, this study presents the analysis and design of a virtual reality (VR) application, NursingXR, developed to support training of students in performing procedures related to the fundamentals of nursing labs in undergraduate programs. The study proposes a hybrid approach that utilizes the multimedia development life cycle (MDLC) alongside hierarchical task analysis (HTA) and unified modeling language (UML) diagrams to provide developers with essential information for implementing NursingXR. A prototype was developed as a validation step, based on the analysis, design and data/material collection phases. Additionally, interviews with nursing instructors were conducted to explore how the platform can complement traditional learning and training modules. The findings indicate that the proposed approach is effective for developing VR applications in the healthcare domain

    FLPanGuard a Conceptual FL-Based Framework to Detect and Fight New Pandemics: Case of COVID-19 Pandemic

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    The COVID-19 pandemic has highlighted the importance of artificial intelligence (AI) and data-driven solutions in enabling rapid response and decision-making support. To contain the pandemic, medical professionals must collaborate with experts in other fields, such as data scientists, to analyze medical data, including electronic health records (EHR), and to find solutions as fast as possible. However, within a sensitive industry such as healthcare, significant challenges related to data access persist due to privacy concerns and regulations. To solve these challenges, federated learning (FL) provides a novel approach to pandemic response by enabling the use of decentralized private data while maintaining data privacy. This paper provides an overview of FL and explores its application in healthcare during the COVID-19 pandemic. It also introduces FLPanGuard, a conceptual framework that focuses on detecting and fighting a pandemic using FL and other technologies to enhance data collection and security. This framework provides a global response to pandemics starting in the pre-pandemic phase by predicting potential outbreaks using social media content and EHR. It is also expanding into the pandemic phase by assisting medical professionals in diagnosis and treatment. Finally, we explore the limitations of FL to highlight areas where further research is required

    Michael Hansmeyer's Algorithmic Architecture: The Transformative Impact of 3D Printing on Architectural Design and Education

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    This study examines how 3D printing and computational design alter traditional architecture, focusing mainly on Michael Hansmeyer’s architectural concepts. The study’s main challenge is understanding how digital technologies have changed architectural practices. This study aims to clarify how additive manufacturing and algorithmic design can revolutionize traditional construction methods and architectural design concepts. This study’s foundation was a thorough examination of scholarly journals, books, and conference proceedings that discuss the intersection of 3D printing and computational design in the architectural discipline. However, the study’s distinctive significance comes from the interview with Hansmeyer rather than analyzing the body of previous material. The study’s objectives include promoting sustainable practices, enabling customization, and increasing design complexity. This study aims to forecast the future role of digital fabrication in architecture, highlight the reinvention of architectural education, and push the creative frontiers of the field

    Enhancing University English Teaching through Mobile Interactive Applications from an Educational Technology Perspective

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    In the context of globalization and rapid advancements in information technology (IT), the application of educational technology in higher education has become increasingly prevalent. Particularly in university English teaching, mobile interactive applications have emerged as a significant teaching model. These applications transcend the constraints of time and space, providing students with a flexible learning environment that promotes interaction between teachers and students, thereby enhancing learning outcomes. However, existing research has primarily focused on the technological development and effectiveness evaluation of mobile interactive applications, neglecting the impact of student interaction and trust on learning outcomes. Additionally, there is a lack of dynamism and personalization in the recommendation of educational resources and study partners. This study constructs global and local dynamic trust models for mobile interactions, calculates trustworthiness based on mobile interactive behaviors, and integrates mobile interaction trust relationships and behaviors with a dynamic English recommendation algorithm, thereby providing a new theoretical framework and a practical approach for university English teaching, aiming to enhance the teaching effectiveness and improve students’ learning experiences

    Challenges of Entrepreneurship Teaching in the Healthtech and Medtech Domains: Some Inputs for a New Approach

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    The rapidly evolving landscapes of healthtech and medtech present unique challenges for entrepreneurship education, necessitating a specialized pedagogical approach. This paper explores pedagogical frameworks and the multifaceted barriers faced by educators in these domains. The cases presented emphasize the complexity and regulatory environment, the need for interdisciplinary knowledge, and the fast-paced technological advancements. Moreover, the convergence of medical knowledge with technological expertise demands a cross-disciplinary teaching strategy, complicating the traditional entrepreneurial education model. Additionally, the accelerated pace of technological change in healthtech and medtech outstrips conventional teaching methodologies, necessitating continuous curriculum updates and the incorporation of real-time industry developments. By addressing the current pedagogical challenges, entrepreneurship education in healthtech and medtech can more effectively equip students with the skills and knowledge needed to innovate and succeed in these highly specialized fields

    Assessing Difficulty Levels of Mathematical Tasks through Subjective and Behavioral Criteria

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    This paper aims to assess the difficulty levels of mathematical tasks in relation to the appearance of unconscious patterns of thinking in students’ cognitive processes that play a role in learning. The data analyzed using a mixed-methods approach was collected from a population of undergraduate engineering and science students enrolled in Calculus courses at the university while answering three questionnaires as part of their online class activities. Two criteria were used to find categories of difficulty levels: one subjective, given by an evaluation carried out by the subjects, and another behavioral, related to obtaining the correct answers. The relationships of these criteria with the appearance of these unconscious patterns of thinking were identified: a significant and strong correlation was noticed between the number of erroneous unconscious patterns detected and task difficulty levels determined by the percentage of correct answers, as well as a significant and strong correlation between task difficulty levels determined by the subjective evaluation and the number of these patterns recognized. Based on the results obtained, it can be stated that these unconscious erroneous patterns in students’ reasoning about a mathematical concept are related to the index of the difficulty of a task and could be considered indicators of mental effort according to the cognitive load theory. The analysis showed the recognition of these unconscious patterns in students’ cognitive mechanisms is relevant when solving mathematical tasks that require information processing at a higher level and could play a role in assessing the difficulty levels of a task related to the study of mathematical concepts in Calculus courses, which constitutes the main novelty of this study

    Research Training: Unraveling the Research Methodological Design Challenge in Engineering Programs

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    Research training stands out as a means to develop generic competencies, potentiate lifelong learning (LL), and integrate initiatives for compliance with the 17 Sustainable Development Goals (SDGs), contributing to the development of a resilient society. Therefore, the constant promotion of a research culture within higher education institutions is an essential task for reducing the gap between scientific productivity and industry challenges and proposing solutions to real-life challenges. One of the main stages involved in any research process is the proposition of a methodological design: a detailed plan conceived and later developed to answer the research questions. Nevertheless, within the engineering context, even though a wide range of methodological designs are considered, these are not always explicitly stated in research papers, so at the undergraduate level there is an absence of more precise guidelines that allow a more concise orientation. Consequently, at this level, a challenge in research training is perceived. This provided a motivation: the development of a framework for the actors involved in research training at the engineering undergraduate level so that they can easily define the methodological design. In this context, the present research proposes a framework organized upon the two main phases of every research process: design and execution. The framework is expected to promote the proper use of research methodology among engineering students. Furthermore, the methodological design from 140 selected civil engineering papers from seven different knowledge fields is analyzed. Results show that 94.29% of the papers did not explicitly present the methodological design. It was concluded that there is an absence of it within the engineering field. Thus, a methodological design framework proposal for engineering students was developed to overcome this situation

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