Technology Community Research Articles

Exploring the intersections of TAM and TRI models in middle school VR technology acceptance

BackgroundIn recent years, the attitudes of middle school principals toward virtual reality (VR) have received much attention from the educational technology community. As VR continues to gain popularity in education, researchers have begun to explore middle school principals’ perceptions of VR using the Technology Acceptance Model (TAM) (perceived usefulness, and perceived ease of use) and Technology Readiness Index (TRI) (optimism, innovativeness, discomfort, and insecurity) models to explore middle school principals’ perceptions of VR. This helps to reveal the influencing factors of middle school principals’ acceptance of VR, which in turn provides theoretical support and guidance for promoting the application of VR in education.MethodsTo explore the factors influencing the acceptance of VR by middle school principals. We searched several databases such as Google, Scopus, and Elsevier. We focused on peer-reviewed English-language publications on VR, TAM, TRI, and middle school education from 2013 to 2023.ResultsThrough the literature review, we found that middle school principals’ intention to use VR was significantly influenced by the TAM (perceived usefulness, perceived ease of use) and TRI (optimism, innovation, discomfort, and insecurity) models. In addition, there was some degree of intersection between the dimensions of the TRI and TAM models.ConclusionVR has been widely recognized by middle school principals as an educational tool. By providing an immersive and interactive experience, VR can be effective in improving the efficiency of school operations to a great extent.

Development of an Energy Community through semi-dynamic simulation of a urban social housing

Energy communities (ECs) are instrumental in driving the transition to renewable energy in urban areas. This study focuses on implementing ECs in Rome’s Tor Bella Monaca district, with a particular focus on linear mass housing. Using the Urban Modeling Interface (UMI) and Simulink, four energy community scenarios were simulated to evaluate their potential outcomes. The scenarios involved integrating photovoltaics and heat pumps into the community’s infrastructure to assess their impact on renewable energy production and CO2 reduction. The results demonstrate that higher electrification within an energy community leads to increased self-consumption of renewable energy and reduced reliance on the grid. Furthermore, the integration of heat pumps enhances energy consumption efficiency. This research highlights the significant potential of energy communities and innovative technologies in managing local renewable energy resources effectively. It provides valuable insights for developing sustainable energy models in urban areas. It emphasizes the importance of carefully evaluating technology sizing, integration, and the inclusion of thermal and electrical storage to maximize self-consumption while minimizing CO2 emissions. The study’s findings offer practical guidance for policymakers, urban planners, and stakeholders involved in sustainable energy management. They underscore the need for a holistic approach that combines technological advancements, community engagement, and thoughtful integration of renewable energy systems. Ultimately, this research contributes to the adoption of energy communities as crucial elements of a resilient and environmentally-friendly future.

Finding the Spot: IoT enabled Smart Parking Technologies for Occupancy Monitoring – A Comprehensive Review

Major cities in India have a significant number of vehicles, and the rate of ownership is increasing every day. However, the lack of proper parking infrastructure in these cities causes problems such as difficulty in finding parking spaces. According to the Urban Mobility Survey 2023 by Times Network, nearly 74% of vehicle owners in metropolitan cities struggle to find a parking slot. Various measures have been implemented to address this issue. One of the most promising measures is a smart parking management system. This system can use technologies like Radio Frequency Identification (RFID) and Automatic License Plate Recognition (ALPR) to make check-in and check-out easier. It can also include Wireless Sensor Networks (WSN), wired sensors, or visual occupancy detection to provide real-time occupancy status. The smart parking management system can offer useful services through mobile or web applications such as parking occupancy monitoring, reservation, payment gateway, occupancy prediction, automated check-in and check-out, and parking record management. The purpose of this review paper is to summarize the works undertaken in the field of smart IoT parking systems and educate the technological community about the technologies, features, and procedures for implementing the smart parking management system. In the paper, we aim to summarise the works on occupancy monitoring in smart IoT parking systems addressing the advantages and issues of the present occupancy monitoring methods, also suggesting future inclusions for smart IoT parking systems.

The Influence of the Use National Traffic Management Center (NTMC) Technology at the National Police Traffic Corps Contact Center in Handling Traffic Accidents

This research aims to analyze the influence of the use of National Traffic Management Center (NTMC) technology at the National Police Traffic Corps contact center in handling traffic accidents. The government, through Korlantas Polri, established the National Traffic Management Center (NTMC) to realize safe, secure, orderly, and integrated traffic and road transportation services. The service provided is in the form of the NTMC Contact Center application which was developed in 2017 to complement the call center and SMS center services that have been available since 2014. The ease of use of technology and the provision of quality services will have an impact on community satisfaction. The purpose of this research is to analyze the influence of acceptance of the use of technology, the influence of service quality on the NTMC Contact Center application for the National Police Traffic Corps, and the simultaneous influence of acceptance of the use of technology and quality of service on the NTMC Contact Center application for the National Police Traffic Corps on the level of public satisfaction in handling traffic violations and accidents. Theoretical concepts in the Technology Acceptance Model, User Acceptance, and Community Satisfaction are used to analyze the acceptance of technology use and service quality on community satisfaction in the NTMC Contact Center application for the National Police Traffic Corps. The research method used in this research is quantitative explanatory research with a population of 10,000 people who downloaded the NTMC Contact Center Polri application on Google Playstore. From the total population, a sample of 100 people can be obtained using the Slovin formula. The sampling technique used was the snowball sampling technique. The results of the research show that there is a positive and significant influence of acceptance of the use of technology, influence of service quality, and a simultaneous influence of acceptance of the use of technology and service quality in the NTMC Contact Center application on the level of public satisfaction in handling traffic violations and accidents.

Meningkatkan Hasil Belajar Pada Materi Tugas Gereja Koinonia Dengan Menggunakan PBL Pada Fase F Di SMK Negeri 9 Surakarta

Welcoming the Golden Indonesia plan map for 2016 to 2045 with a vision of quality education that matches developed countries with the implementation of the Independent Curriculum as one of the efforts of the Ministry of Education and Culture, Research and Technology as a way to perfect the learning system in Indonesia. Implementation of the Independent Curriculum focuses on the use of technology and learning communities to share with each other for teachers, students and academics. One of them is by implementing a learning model that stimulates students to think critically by being actively involved in solving problems adapted to the realities of everyday life. This research was conducted to analyze the use of a learning model that applies critical thinking and solutions in solving problems, namely Problem Based Learning and as a way to improve student learning outcomes. The method in this research uses classroom action research techniques which aim to improve or increase the quality of learning. Through PBL, students are motivated and feel happy in learning Catholic Religious Education and Character, this is because students feel directly involved in the learning process by getting appreciation for the results of their work. The description of this research is very clear that one of the factors for successful learning is the use of learning models in the teaching and learning process.

Atomic level simulation of amorphous/nanocrystalline transition behavior in the Fe based amorphous alloys

Iron-based amorphous alloys have attracted significant attention from both technological and scientific communities owing to their soft magnetic property. A recent discovery indicates that amorphous alloys have a transition to the nanocrystalline state after annealing, which exhibiting excellent magnetic properties. To explore how the annealing temperature and alloy composition affect the formation of nanocrystals in the Fe-based amorphous alloys, this study employs molecular dynamics simulations. The first step involves creating amorphous models with varying alloy compositions. Subsequently, annealing processes are simulated for amorphous alloys of two different compositions across a range of temperature conditions. Finally, various characterization techniques, including radial distribution function, Honeycutt-Andersen (HA) bonding index, and Voronoi polyhedral index, are used to analyze the resulting amorphous structures. The results show that the Fe78Si15B7 amorphous alloy has a higher tendency to adopt the standard icosahedral structure compared to the Fe74Cu1Nb3Si15B7 amorphous alloy. Moreover, the percentage of icosahedral formation during annealing exhibit a nonlinear relationship with temperature. This suggests that the Fe78Si15B7 amorphous alloy is more predisposed to forming nanocrystals. Additionally, the proportions of both icosahedral and standard icosahedral structures within the amorphous material increase as annealing time is extended.

Expected values of Sombor indices and their entropy measures for graphene

Graph theory plays a crucial role in various applications of mathematics and applied sciences. One specialised branch of graph theory is mathematical chemistry, which focuses on mathematical modelling and analysing chemical compounds and their properties. In this context, graphs are used to represent the structural and topological features of molecules, enabling chemists to gain insights into chemical reactions and make predictions about molecular properties. Recently, new versions of Sombor indices have been introduced using a geometric approach. This article specifically focuses on entropy-based variations of these Sombor indices, which includes SO, , , , and , in the context of graphene sheet. Graphene has gained significant attention in the scientific and technological communities due to its exceptional properties. It finds widespread applications in diverse fields such as nanotechnology, electronics, energy storage, sensors, materials science and optoelectronics. Given the promising applications of graphene, it becomes essential to theoretically analyse its structure. Molecular descriptors play a crucial role, as they are strongly linked to various characteristics of chemical compounds. To better understand the Sombor indices, this article graphically represents their entropy measures.

Empowering Human Resources through Digitization and IoT Training: Development of Remote Home Lighting Control System Using IoT

Purpose: This research paper focuses on the empowerment of teenagers in the Renggong hamlet through the development of a remote home lighting control system using IoT technology. The study addresses the implementation process, teenage responses, and the impact on their quality of life, shedding light on the significance of technology in their daily lives.
 Method: Employing a qualitative approach, the study conducted surveys during outreach in the Renggong hamlet. The research design involved the development of an IoT-based lighting control system, with data collected through participant responses and engagement. Qualitative analysis techniques were utilized to interpret the findings.
 Practical Applications: The research demonstrates practical applications of IoT, enhancing teenagers' awareness and skills. Its insights benefit education, technology, and community development programs, facilitating digital empowerment.
 Conclusion: This study highlights IoT's transformative role, promoting digital literacy and skills among youth. Its findings enrich our understanding of technology's potential, benefiting educational and community initiatives significantly.

Towards a sustainable future: The decarbonization of transport

This themed edition of the Proceedings of the Nigerian Academy of Science delves into the pivotal topic of transport decarbonization, a critical component in the global strategy to combat climate change and promote environmental sustainability. It amalgamates a rich tapestry of research, case studies, and policy analyses focused on the multifaceted challenges and opportunities inherent in transitioning to a low-carbon transport system. Key areas of discussion include the complexities of electric vehicle (EV) adoption, the potential for invigorating local manufacturing sector through EV and e-bike production, the transformative impact of removing fuel subsidies on the uptake of solar power, and the intricate policy landscapes that underpin transport decarbonization efforts. By spotlighting Nigeria's unique context, from its policy strides to innovative local initiatives, this edition not only contributes to the academic discourse on sustainable transport but also aims to inspire actionable insights and collaborative efforts towards achieving a decarbonized transport future. This compilation seeks to foster a deeper understanding of the interplay between technological innovation, policy frameworks, and community engagement in driving the shift towards sustainable mobility solutions, with the hope of catalyzing further research and implementation of sustainable transport systems globally.

What future for marine renewable energy in Portugal and Spain up to 2030? Forecasting plausible scenarios using general morphological analysis and clustering techniques

Marine renewables – which include mainly wave, tidal and current energy – have been hailed, for the past decades, as a potential solution to support the decarbonization of the society. Portugal and Spain have been traditionally avid for the testing and demonstration of such technologies, but the implementation of marine capacity is yet marginal, and there are many uncertainties regarding the future of the sector in the region. The main objective of this article is to show a future projection of marine renewable energies in both Iberian and Macaronesian regions for 2030 to research and technological development communities. To obtain this future projection, General Morphological Analysis and advanced clustering techniques have been used. The results are divided into five groups of potential scenarios, which vary significantly due to different political, social and technological parameters. The influence of variables such as innovation speed, infrastructure implementation, and comprehensive metocean data availability emerges as pivotal determinants shaping the sector's course. The knowledge from this systematization is expected to be used by researchers, technicians, governments or by any other agency involved in marine renewable energies in Spain and Portugal, as a guidance for their new projects and research lines.

A lighthouse to enhance the quality of life in the Nile River basin

AbstractThe future of large rivers is related to regional cooperation programs for the sustainable development of water and related resources in great river basins. The objective of this article is to present how roadmaps can be utilized for both building up sustainable development for the Nile River, and supporting the integration of national and regional development strategies in Egypt and other Nile basin countries. The strategic objective is to highlight a wide range of sustainable freshwater pathways for an inclusive, peaceful, and sustainable future for all. In particular, it focuses on generating innovative water solutions, actions, and practices that enhance water exploitation in large river basins, transboundary shared rivers, and other transboundary shared water resources. The roadmapping approach is adopted and developed widely in the science, technology, and innovation community. The paper concentrates on roadmapping as an important tool that promotes sound planning of sustainability of large rivers, and in particular, transboundary shared rivers. The roadmap analyzes the benefits of planning shared water cooperation that extends to ecological, economic, and political features, and also beyond the river for the benefit of all, and identifies at an early stage the actions needed to manage the associated technology and environmental risk. The roadmap includes the key water resources governance characteristics, geographical scope, climate change (CC), and its impact, member states, organizational structure, decision-making, data information sharing, monitoring, the role of multiple stakeholders, financing, legal basis, dispute resolution, and benefit sharing. Therefore, a roadmap for the Nile River can help raise productivity and support faster growth, if considered as a lighthouse for national development strategies. Roadmap for the Nile River proposes windows of opportunity and is a vital milestone for cooperation, peace, stability, joint investment, and prosperity. With possible benefits exceeding those derived from the river itself, a roadmap for the Nile River can catalyze strengthened cooperation and greater regional ecological, economic, social, and political integration. The paper concludes that the roadmap for the Nile River sustainability (NRS) is a promising model for assuring the sustainability of transboundary shared large rivers.

Human Resources and Technology Integration in Effective Public Management

This study aims to explore effective public management within the framework of the integration of human resources and technology. By utilizing current literature review approaches, this study focuses on sources published within the last decade. Employing keywords related to human resource and technology integration on platforms like Google Scholar, the research aims to extract relevant and significant information from a wide range of scholarly materials. The findings in this study confirm that the integration of human resources and technology in public management is an essential foundation for creating responsive, transparent , and high-quality public services. Managing public management and optimizing public services in accelerating technology includes using digital platforms; human adaptation to technology; transparency and participation of the technology community; and data security. Meanwhile, the integration of human resources and technology in innovation and development can be described in the use of technology and data analysis; collaboration, and improvement of human resources; as well as a survival strategy not to change. Finally, to see the management of change in public management in a technological framework from the aspects of technology adoption, changes in organizational culture, service efficiency and improvement, HR training and development, and monitoring and evaluation.

The state‐of‐art review of ultra‐precision machining using text mining: Identification of main themes and recommendations for the future direction

AbstractUltra‐precision machining (UPM), one of the most advanced machining techniques that can produce exact components, significantly impacts the technological community. The significance of UPM attracts the attention of academic and industrial partners. As a result of the rapid development of UPM caused by technological advancement, it is necessary to revisit the current stages and evolution of UPM to sustain and advance this technology. The state of the art in UPM is first investigated systematically in this study by identifying the current four major UPM themes. The UPM thematic network is then built, along with a structural analysis of the network, to determine the interactions between each theme and the primary roles of theme members responsible for the interactions. Furthermore, the “bridge” role is assigned to the specific UPM theme content. On the other hand, Sentiment analysis is conducted to determine how the academic community at UPM feels about the themes for UPM research to focus on those themes with a need for more confidence. Considering the above findings, the future perspective of UPM and suggestions for its advancement are discussed and provided. This study provides a comprehensive understanding and the current state‐of‐the‐art review of UPM technology by a text mining technique to critically analyze its research content, as well as suggestions to enhance UPM development by focusing on its current challenges, thereby assisting academia and institutions in leveraging this technology to benefit society.This article is categorized under: Algorithmic Development > Text Mining Application Areas > Science and Technology Application Areas > Industry Specific Applications

Information and Communication Technology (ICT) Adoption and Community: A Systematic Literature Review

Information and Communication Technology (ICT) Adoption and Community: A Systematic Literature Review

Mentoring underrepresented students for success: Self-regulated learning strategies as a critical link between mentor support and educational attainment

Growing and diversifying science, technology, engineering, and mathematics (STEM) professional communities is critically important. According to the Process Model of Mentoring Interactions, two areas of research can be leveraged in pursuit of this goal: mentoring and self-regulated learning (SRL). This study examined the mediating role of learning strategies in explaining how implicit theories of intelligence (mindset) and mentoring support predict academic achievement among university students (operationalized as highest degree attained). Participants (N = 1,094) were from historically underrepresented backgrounds pursuing an undergraduate STEM degree from one of 38 universities across the U.S. Longitudinal data were collected via biannual surveys (fall, spring semesters) to assess academic mindset, faculty mentoring, learning strategy use, and highest degree attained (measured by National Student Clearinghouse graduation/enrollment data). Parallel processes latent growth-curves in a structural equation modeling framework were used to test the mediating role of strategy use on academic achievement. Results showed that reported strategy use was stable over time and mediated the relationship between faculty mentoring support and highest degree attained. Both having a faculty mentor as an undergraduate (vs. not) and higher quality of mentor support predicted higher strategy use, which in turn predicted higher degree attainment. Mindset was unrelated to strategy use or academic achievement. This study is one of the first to empirically demonstrate one process by which mentoring leads to greater academic achievement: via students’ use of SRL strategies.

CHAT GPT Explore the Relevance with Higher Education Classroom

Chat GPT As the most representative achievement of today's artificial intelligence, it has attracted high attention from the society since its inception, which has not only caused a great shock in the science and technology community, but also caused a strong response in the academic community. Its great influence on colleges and universities solved Jobs' question and highlights the shortcomings of Chinese universities. Chat GPT The series of questions on universities has aroused the reflection on the philosophy of higher education: can the status of knowledge center of universities be maintained? Has the nature of college teachers' profession changed? Will there be new types of universities? These questions not only touch the pain points of China's higher education, but also involve the root of university survival. Where is the future of the university? Universities must make clear decisions: should they adhere to the traditional university development path or organically integrate it with artificial intelligence? No matter what choice they make, it is inevitable that artificial intelligence technology will enter universities. Only by uniting with the society can universities maintain their dominant position of knowledge and further play their functions.

An assessment method to ensure applicability of concrete capacity method for design of anchorages: Linear force distribution approach

AbstractThe concrete capacity design (CCD) method for the design of anchorages comes with a pre‐requisite that the base plate connecting the anchors of a group should be “sufficiently stiff.” This article addresses a frequently and vastly discussed topic in fastening technology, namely “What a sufficiently stiff base plate actually means?” The qualitative definition used by the codes requires that the deformation of the base plate should be small compared to the anchor displacements, in addition to the requirement that the base plate should remain linear elastic. This requirement indirectly ensures that the forces among the anchors of the group are distributed in a linear manner, which is the primary requirement to apply the CCD method for design of anchorages. Such a qualitative definition has raised more questions than answers and haunts the fastening technology community. Perhaps the possible solution to this problem requires asking the question differently, that addresses the problem directly: How can it be ensured that the tension forces among the anchors of a group are distributed in a linear manner? This paper first discusses the problem in detail highlighting several issues in the current approach and later provides an overview of an assessment method in form of a set of criteria that can be used to evaluate whether the tension force distribution is linear for an anchorage with a given anchor pattern, baseplate, attachment, and load case. The principle of the approach is based on a combination of simple mathematical formulations and the evaluation of finite element calculations performed on anchorages modeled with base plate, attachment, and anchors. The proposed formulations are described, and it is explained why they are adequate to find practical and safe general solutions to the problems. The application of the set of criteria allows the calculation of an optimum base plate thickness, sufficient to distribute the forces linearly among the anchors, without being overly conservative.

Cultivating a Science, Technology, Engineering and Mathematics (STEM) community for two-year college student success and persistence.

Undergraduate students studying Science, Technology, Engineering and Mathematics (STEM) often fail to persist in critical "gateway" courses, resulting in students leaving the STEM pathway. Community college students leave STEM pathways at higher rates than students at universities. Implementation of a program designed to engage community college STEM students and faculty in a community of support was associated with increased persistence in STEM gateway courses and associate degree completion. Program elements included support staff, a STEM study room with peer tutors, faculty advisors, and transfer assistance. Over seven years, 415 students joined this opt-in support program. The majority of students in this program were economically disadvantaged and many were nontraditional college students. Using institutional data we tested the hypothesis that participation in this program was associated with increased student success and persistence in STEM courses and at the college. The mean GPA for students in the program in the ten courses with the highest STEM enrollments was higher (2.89) than that for other students (2.76). Quarter-to-quarter persistence was 87% for program students compared to 67% for non-program students in a matched student population. In STEM gateway courses, program students had between 1.2x to 3.5x greater likelihood than non-program students of progressing to precalculus-2 controlling for first-attempt GPA in precalculus-1. Similar persistence patterns were observed for other gateway STEM courses. Observed persistence for students in the program was higher than comparable groups of students, including persistence for those who experienced early failure in STEM courses. These data suggest students should be supported through early failure to enable persistence in critical STEM sequences, especially in gateway Math and Chemistry courses.

Challenges for the Corrosion Science, Engineering, and Technology Community as a Consequence of Growing Demand and Consumption of Materials: A Sustainability Issue

This perspective is intended to bring awareness to the corrosion community that the growing demand for engineering metallic materials required for our increasingly technological society is unsustainable. Current strategies important for materials science and especially the corrosion community are presented. First, the consumption of metals is reviewed, and the global supplies and demands of metals are discussed given different scenarios, including models of global societal development. It is pointed out that expected future consumption rates place pressure on the availability of specific elements used regularly throughout the world, with nearly every element in the periodic table now utilized in production of new technological devices. The consumption pushes the mining and production of metals to levels that should be counterbalanced with novel engineering and technological methods that incorporate strategies for metal sustainability. Standard approaches such as “make-use-dispose” must gradually be transformed into a circular economy paradigm embracing the “reduce-reuse-recycle” approach. Although recycling can bolster the engineered material supply, the growing demands require additional actions to significantly preserve natural resources and prolong metal sustainability. Our views on the abilities of the corrosion community to contribute to the concept of a circular sustainable economy are introduced. Maintenance strategies and corrosion management control may not be sufficient and need to be complemented with existing or emerging new technologies such as additive manufacturing, inverse engineering design, and solvometallurgy in combination with integrative design, modeling, and machine learning approaches. The corrosion community can impact the end-of-life of components and infrastructure at different levels, starting from mining through design, production, use, reuse, and recycling. Each process step is discussed, seeking possible solutions to preserve the metal resources by, for example, achieving more efficient and high-yield mining, designing and modeling new materials, increasing production efficiency, introducing light-weighting and smart materials, as well as developing more efficient recovery, recycling, and separation.

Transdisciplinary Approach Using Ensemble Learning Model approach in Machine Learning Technology to Predict and Abort Cyber-Abuse Against Women

Cyber-abuse against women has become a pervasive issue in today's digital age, posing serious threats to their safety and well-being. To combat this problem, we propose an ensemble learning model approach in machine learning technology that aims to detect and abort instances of cyber-abuse targeting women on online platforms. The proposed model combines the machine learning techniques of both Support Vector Machine (SVM) and Random Forest (RF) algorithms to enhance performance and generalization. An ensemble model is constructed by combining the predictions of individual base models using aggregation techniques such as LightGBM (Light Gradient Machines). The trained ensemble learning model is integrated into a real-time monitoring system that continuously analyzes social media content. This system identifies and flags potentially abusive or harassing content directed towards women. By combining technological advancements, human expertise, and community engagement, our ensemble learning model approach offers a comprehensive solution to predict and prevent cyber-abuse against women, fostering safer and more inclusive online spaces. Additionally, our approach emphasizes the importance of jurisdictional considerations, and punitive measures implemented in different jurisdictions.