bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic pricing and demand forecasting: Integrating time-series analysis, regression models, machine learning, and competitive analysis
Authors: Ma Qinxia , Feng Shujie , Liu Jingyuan
Published: November 2024

Abstract. Dynamic pricing is a critical strategy for businesses seeking to optimize revenue and stay competitive in fluctuating markets. This paper explores the integration of various demand forecasting techniques, including time-series analysis, regression models, and machine learning algorithms, with competitive analysis methodologies to enhance dynamic pricing strategies. Time-series analysis focuses on decomposing data into trend, seasonality, and random fluctuations, using ARIMA models for accurate demand prediction. Regression models delve into the complexities of variable interactions, extending beyond linear relationships to include advanced techniques like Ridge, Lasso, and Elastic Net regression. Machine learning algorithms, such as decision trees, random forests, gradient boosting, and neural networks, revolutionize demand forecasting by uncovering complex patterns in large datasets. Competitive analysis incorporates market scanning, price elasticity estimation, and competitor behavior modeling to inform dynamic pricing decisions. Optimization algorithms, including linear programming, genetic algorithms, and simulated annealing, are employed to refine pricing strategies, while revenue management techniques like yield management and overbooking ensure maximum revenue from perishable goods and services. This comprehensive approach enables businesses to dynamically adjust prices in real-time, maintaining competitiveness and maximizing profitability in an ever-evolving market landscape.
Analysis of carbon reduction potential based on carbon flow theory
Authors: Wang Zhijian
Published: November 2024

Abstract. As the severity of global climate change and energy crises continues to escalate, reducing carbon emissions and transitioning to a low-carbon power system have become shared objectives within the international community. To thoroughly understand the effectiveness and complexity of emission reduction strategies within the power sector, this paper delves into the carbon reduction potential of power systems, covering three key areas: generation, transmission, and consumption. It explores how systemic improvements in these sectors can drive large-scale low-carbon transformations of power networks, and elucidates the carbon reduction strategies and potentials of each sector. This paper examines and analyzes significant data and scholarly research from the power industry, as well as relevant policies, to measure the impact of various technological and policy approaches on carbon emission reduction. It also compares differences and synergies between different studies. The research findings indicate that the cornerstone for achieving a low-carbon power system lies in systematically promoting the low-carbon transformation across three dimensions based on carbon flow theory: power generation, electrical grid distribution, and consumer-side practices. In terms of power generation, integrating clean energies like wind and solar, coupled with improvements in low-carbon generation technologies, can significantly reduce carbon emissions. For the electrical grid, carbon reduction is mainly achieved through optimizing grid infrastructure, including minimizing transmission and distribution losses and SF6 emissions, as well as promoting distributed grids and storage technologies to enhance system flexibility. On the consumer side, optimizing industries with high carbon emissions, advancing the integration of electric vehicles with Vehicle-to-Grid (V2G) systems, and implementing low-carbon demand response is crucial for carbon reduction. Furthermore, policy support, incentive measures, and technological innovation are extremely vital in enhancing the effectiveness of these measures.
Exploring the efficacy of Multi-Armed Bandit Algorithms in dynamic decision-making
Authors: Fu Lai
Published: November 2024

Abstract. Originating from the scenario of gambling machines in casinos, the Multi-Armed Bandit problem aims to optimize decision-making processes under limited resources to achieve maximum returns. This article delves into the principles, classifications, and practical applications of this problem. Researchers have proposed various algorithms to address this issue, including -greedy, Upper Confidence Bound, and Thompson Sampling, which have demonstrated good performance across different scenarios. The article further elaborates on the fundamental principles of Multi-Armed Bandit algorithms, encompassing the trade-off between exploration and exploitation, and provides a detailed classification of algorithms based on probability (e.g., -greedy) and value (e.g., UCB). These algorithms not only provide a framework for addressing real-world problems such as advertisement placement and resource allocation, but also possess significant theoretical value in the fields of machine learning and reinforcement learning. By balancing exploration and exploitation, Multi-Armed Bandit algorithms offer effective tools for making optimal decisions in uncertain environments, thus driving the development of related fields.
Research on image recognition and processing application technology of unmanned vehicle based on deep learning
Authors: Duan Junji
Published: November 2024

Abstract. Image recognition technology is critically important in various fields, including the rapidly advancing sector of autonomous vehicles. As one of the core components enabling driverless cars to perceive their environment and make informed decisions, image recognition has seen significant advancements due to deep learning. This paper focuses on the application of deep learning in image recognition for self-driving cars and explores its implications for the future of autonomous driving technology. To begin with, this paper examines the empirical evaluation of deep learning models in highway driving scenarios. By employing Convolutional Neural Networks (CNN), these models achieve high detection rates and superior accuracy in recognizing vehicles and lanes. The robustness of these models is tested under varying weather conditions and times, demonstrating their effectiveness compared to classical computer vision techniques. Next, the paper discusses radar-camera fusion technology, highlighting different fusion strategies such as data-level, feature-level, object-level, and hybrid-level. The findings suggest that while feature-level fusion excels in detecting small objects in complex scenes, hybrid-level fusion is optimal for diverse driving situations. This section provides valuable insights into the integration of multimodal data for improved object recognition and semantic segmentation. After discussing fusion technologies, the paper finally reviews the security challenges posed by adversarial attacks on deep learning-based unmanned systems.
Multi-Sensor SLAM Positioning and Navigation
Authors: Hu Jiahao , Wei Hongtao
Published: November 2024

This paper provides a comprehensive review of advancements in Positioning and Navigation, focusing on the integration of key technologies to enhance operational efficiency and sustainability. The study examines the application of sensors in robotic systems, with particular emphasis on visual Simultaneous Localization and Mapping (SLAM) and LiDAR SLAM technologies. Visual SLAM, which uses monocular or binocular cameras to capture environmental images for navigation and mapping, offers cost-effective solutions but faces challenges such as sensitivity to lighting conditions and high computational demands. LiDAR SLAM, utilizing laser pulses to create precise 3D maps, complements visual SLAM by improving accuracy and robustness. The review also covers the integration of these technologies with deep learning and other advanced algorithms, highlighting their potential to enhance robotic performance and address practical limitations. The paper identifies future research directions aimed at advancing these technologies for more effective and sustainable practices.
Research on Sensor Technology in Mobile Robot Navigation
Authors: Chen Yikyu , Fan Yiyang , Jin Mingzhe
Published: November 2024

As mobile robots are widely used in daily life, industrial manufacturing and the military, their ability to autonomous navigation in unmanned platforms and a wide range of environments is increasingly demanding. Therefore, the selection of sensors is a necessary process to improve the efficiency of navigation. The paper will introduce the principles and advantages of monocular vision, LIDAR and ultrasonic sensors etc. in detail, and then explore the advantages and disadvantages of various algorithms, and finally conclude optimal fusion of sensor solutions. The comparison results present that for the monocular vision, acquiring an image from a single camera setup, then using a YOLOv5 and mosaic technology to form a single image and finally using the improved RRT and the Frenet coordinate system to model the path is an efficient solution. 3D LIDAR technology can use the SLAM framework of graph optimization to create the map for obstacle avoidance and path planning. At last, this paper provides suggestions and optimizations for mobile robot navigation solutions, which are integrating multiple sensors and combining navigation solutions with machine learning.
Design, perspectives, and challenges of modification strategies for alkali metal anodes
Authors: Hou Xiaoran
Published: November 2024

Abstract. The alkali metal anode has emerged as a focal point of research due to its extremely low oxidation-reduction potential and high theoretical specific capacity. However, challenges such as unstable solid electrolyte interphase (SEI), infinite volume expansion, and uncontrollable dendrite growth result in low coulombic efficiency and irreversible losses during the deposition and stripping processes. To address these issues, various effective strategies have been proposed to protect the alkali metal anode and achieve dendrite-free growth. In this review, we summarize recent advancements in enhancement strategies for alkali metal anodes, including the construction of three-dimensional current collectors and interface engineering. Specifically, we delve into the development of carbon-based current collectors with various dimensions and structures and the application of interface engineering techniques to tackle the challenges of unstable SEI, volume changes, and dendrite growth. Furthermore, we explore advanced characterization techniques that provide deeper insights into the reaction mechanisms and behavior of these enhancement strategies. Finally, we discuss the current limitations and future research directions in protecting alkali metal anodes, aiming to provide valuable insights into the study of dendrite growth and the development of effective protection strategies for alkali metal anodes.
A review of carbon nanotube field effect transistor from structure and properties to applications
Authors: Zhu Yiming , Liu Maoqin , Qiu Kengyuan
Published: November 2024

Abstract. In the pursuit of next-generation electronic devices that overweigh the limitations of traditional silicon-based technologies, Carbon Nano Tube Field Effect Transistors (CNTFETs) have garnered significant attention. Unlike conventional Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs), CNTFETs utilize the exceptional properties of Carbon Nanotubes (CNTs) as the channel material, promising substantial improvements in performance, power consumption, and scalability. This paper presents a comprehensive overview of CNTFETs, delving into their fundamental structures and underlying principles. It critically examines the unique characteristics that make CNTFETs an attractive alternative, including their superior carrier mobility, reduced leakage currents, and compatibility with nanoscale fabrication techniques. This review explores the application prospects of CNTFETs, spanning from high-speed digital circuits to energy-efficient sensors and beyond. Despite their promising potential, the paper also acknowledges recent challenges associated with CNTFETs, such as challenges in material synthesis, integration with existing semiconductor processes, and cost considerations. By addressing these challenges and fostering interdisciplinary research collaborations, the widespread adoption of CNTFETs in integrated circuits could revolutionize the electronics industry, enabling the development of more efficient, powerful, and sustainable devices for the future.
Autonomous Cargo Grabbing System for Drones Using Cameras and ROS
Authors: Fang Kangrui , Huang Qigong , Hao Yilin
Published: November 2024

Abstract. With the rapid development of low-altitude economy, the functional requirements for logistics UAVs are constantly improving. In this paper, an unmanned aerial vehicle system (UAV) is proposed to realize autonomous grasping of goods. First of all, a new type of grasping device is proposed, which can be easily mounted on the UAV. The camera image stream mounted on the UAV was obtained through camera calibration and corrected. Subsequently, the object recognition algorithm was used to process the image frames, successfully identify the goods to be captured, and calculate the position and direction relationship between the UAV and the target cargo. Next, the speed of the drone is adjusted by the PID controller to achieve a stable landing above the target cargo. Then, the drone is equipped with a robotic claw innovatively designed by our team to complete the gripping of the goods. Subsequently, the drone lifted off and began to deliver cargo. Throughout the grabbing process, a laptop equipped with Ubuntu and ROS systems communicates with the drone via Wi-Fi. The feasibility of the whole system was proved by experiments.
Review of PID Control in Industrial Areas for Tobacco Production, Self-driving Car Technology and Robotic Arm Robots
Authors: Zhang Linxiaoshan
Published: November 2024

Abstract. PID control is widely employed across diverse industries such as tobacco production, autonomous car technology, and mechanical arm robotics. This shows that PID control has a substantial developmental potential, so I choose the PID control as the topic. Since few people summarize its different applications in different industries, this study has the motivation to comprehensively summarize the applications of PID. This research provides an in-depth overview and analysis of PID control's varied applications in tobacco production, autonomous car technology, and mechanical arm robotics. It focuses on addressing practical challenges and exploring optimization strategies encountered in these fields. This article is summarized using the methods of the review. PID plays a crucial role in enhancing stability, precision, and response speed in these applications, thereby improving overall control system dynamic response performance. This study consolidated existing literature to offer insights into PID's effectiveness across these industrial sectors, shedding light on its impact and potential for further advancements in control technology.
The application of semiconductor nanomaterials in renewable energy
Authors: Ma Jiakai
Published: November 2024

Abstract. In the development of renewable energy, the usage of solar cells, fuel cells, hydrogen energy, thermoelectric energy, and thermal energy has become a significant focus of research and development. Semiconductor nanomaterials play important roles in these fields. This paper focuses on the usage of TiO2 and In2O3 in renewable energy and finds out the trends and outlook of semiconductor nanomaterials in this field. TiO2 nanomaterials have attracted widespread attention due to their unique structure and excellent properties, such as their large specific surface area, high surface activity, and sensitivity. TiO2 nanomaterials are highly active in photovoltaic applications and play an important role in the search for renewable, clean energy technologies. In2O3 is an excellent n-type transparent semiconductor functional material, characterized by high sensitivity, low resistivity, good conductivity, high catalytic activity, and wide bandgap width. It has shown good competitiveness in gas sensors, solar cells, and photocatalysis fields. Although these semiconductor nanomaterials have many advantages, there are still some drawbacks that hinder their development. There is still much work to be done for the wider application of semiconductor nanomaterials in the field of renewable energy.
Introduction to Solar Technology and its Environmental Importance
Authors: Zheng Zemei Amber
Published: November 2024

Abstract. In the past few decades, scientists have been seeking more environmentally friendly sources of energy due to the increasingly serious issue of global warming. As a result, photovoltaic technologies as emerged as one of the most prominent sustainable energy technologies due to their significance in controlling future carbon emissions. In this paper, the operational process of photovoltaic systems and the reason why silicon remains the most important element in building solar cells will be equally explored. Furthermore, the environmental importance of solar technologies will also be discussed, including its ability to save carbon footprints compared to traditional energy sources.
Progress on perovskite quantum dots and light-emitting diodes
Authors: Xiaofeng Zhan
Published: November 2024

Abstract. Perovskite quantum dots have become a popular material for the development of new high-efficiency light-emitting diodes (LED) because of their high photoluminescence quantum yield, adjustable luminescence spectrum, narrow spectral width, high defect tolerance and unique quantum limit effect. We review the recent progress based on LED of different types of perovskite quantum dots. First, the properties, existing problems and applications of fully inorganic perovskite quantum dots are introduced. Subsequently, both organic and inorganic perovskites and their applications are discussed, and several methods to improve the LED efficiency of perovskite quantum dots are explored. Finally, this paper analyzes the current challenges of LED of perovskite quantum dots, such as instability and toxicity, and its application prospect in the field of high-efficiency display and lighting is discussed. That is, the EQE of LED based on perovskite quantum dots has increased to more than 20% in four years, and the service life has been extended to tens of hours. This review provides useful insights for the development of more efficient and safer perovskite quantum dot luminescence devices.
Correction of Sensible Heat Flux from Flux-Gradient Method to Eddy Covariance Method Based on Multi-Layer Perceptron
Authors: Zhang Yuqian
Published: November 2024

Abstract. Understanding surface-atmosphere interactions is critical for environmental and meteorological studies. Sensible heat flux, a key component in this interaction, is typically measured using methods such as Eddy Covariance (EC) and Flux-Gradient (FG). The EC method, known for its high temporal resolution and direct measurement capabilities of wind speed, temperature, and humidity changes, requires the use of expensive and complex equipment, making it costly and challenging to implement. On the contrary, the FG method is more accessible and economical, relying on simpler instruments, but often lacks the precision of the EC method. To harness the benefits of both methods, this article uses the Multi-Layer Perceptron (MLP) machine learning method to enhance the accuracy of the FG method's sensible heat flux calculations. Through the MLP model, this paper aims to determine the optimal parameter settings for the specific measurement environment, thereby improving the FG methods accuracy. The data was measured from Guandu Village, Anhui Province, China. This research seeks to demonstrate that the trained MLP model can be applied to similar measurement environments, thus enhancing the FG method's applicability and precision.
Research on the early age mechanical properties of concrete based on hydration kinetics
Authors: Wang Zhirui
Published: November 2024

Abstract. In the era of advanced construction techniques, the enhancement and regulation of the functionality of concrete, a widely utilized construction material, has gained significant prominence. The study delves into the exploration of the properties and heat reaction behavior during hydration of various composite cementitious materials with the incorporation of three distinct mineral additives: microspheres, cellulose, and early strength shrinkage reducing agent for early strength enhancement. Analyzing the impact of cement hydration reactions on the early-age performance of concrete, the Krstulovic-Dabic hydration kinetics model was utilized to simulate and study the hydration process of the composite cementitious system in concrete. The findings reveal that the introduction of microspheres and cellulose hinders the advancement of early-age strength in concrete, whereas the utilization of an early strength shrinkage reducing agent proves to be beneficial in enhancing early-age strength. Enhancing the hydration reaction rate is observed with the addition of early strength shrinkage reducing agent, whereas the presence of microspheres and cellulose slows down this process. The rate of hydration reaction accelerates, resulting in a greater early-age strength of the concrete.
An Overview of Tidal Power in China
Authors: Pan Jian
Published: November 2024

Abstract. Tidal energy is a renewable, clean and non-polluting renewable energy source with huge reserves, which is of great significance to alleviate the energy tension in coastal areas. The eastern coast of China is dotted with many economically developed cities such as Shanghai, Shenzhen, Hong Kong, etc. The energy consumption of these cities is very high and growing at a very high rate year by year. Although China has constructed the "West-East Electricity Transmission" project to alleviate the problem of electricity tension in the eastern coastal cities, it cannot fundamentally reduce the dependence on traditional fossil energy. Therefore, on the basis of extensive data collation, this paper further explores the possibility of utilizing tidal energy for power generation in China by studying China's tidal energy reserves, and analyzes the difficulties in developing tidal energy in China as well as puts forward suggestions for the future development of tidal energy.
Analysis the Principle and Applications for Stirling Engines of Household
Authors: Ding Haoqin
Published: November 2024

Abstract. The Stirling engine is a path that was not intensively researched and developed on compared to internal combustion engines. However, with advanced technology one has now compared to the 1800s, Stirling engines can be used for purposes including generating electricity and heat in households. Its potential lays in its high thermal efficiency, long life span, as well as the advantage that it can operate quietly. This study investigates and discusses the applications of Stirling engines in houses. There are a lot of ways that Stirling engines can be implemented in daily life, including micro-CHP, water pump, electricity generator. In the future, with better technologies, Stirling engines may be brought up more due to its high efficiency and other beneficial traits. These results aim to increase the attention to Stirling engines and the possibility of implementing it for residential purposes, possibly leading to further research on the topic to further exploit the potentialities of the Stirling engines.
Modeling and Analysis of Micro-Turbine Integrating PV Generation Systems
Authors: Ye Aaron
Published: November 2024

Abstract. As a matter of fact, in the emerging field of distributed generation, micro turbines (MT) are seen as having significant potential in power generation especially in recent years. In reality, it can provide flexibility as well as robustness for PV generation system with great performances. Therefore, with this in mind, this paper proposes a hybrid power system integrating MT into PV generation system. To be specific, this study investigates as well as discusses the operating principles of MT. On this basis, a coordinated PQ control strategy for the hybrid PVMT power generation system is proposed. At the same time, the inertia enhancement brought by the MT is analyzed validating the potential and feasibility of the proposed strategy. According to the analysis, the current limitations as well as future improvements are discussed in the meantime. Overall, these results shed light on guiding further exploration of MT integrating PV generation systems and pave a novel path for designs.
Analysis of the Principle of Gas Turbine and State-of-art Applications
Authors: Zhou Sirui
Published: November 2024

Abstract. As a matter of fact, gas turbines covers a large part in the maps of contemporary generators and propulsion systems. With this in mind, this study will offer a comprehensive evaluation as well as analysis of gas turbine working principles, key technologies, and cutting-edge applications. The study systematically elucidates the basic structure, thermodynamic cycle characteristics, and performance influencing factors of gas turbines. It focuses on the application of advanced gas turbines in fields such as power generation, aviation, and marine, demonstrating their advantages of high efficiency, cleanliness, and flexibility. This study analyzes the current challenges faced by gas turbine technology and points out that future research should focus on key technologies such as materials, cooling, and combustion to promote efficiency improvement, emission reduction, and fuel adaptability enhancement in gas turbines. This research deepens the understanding of gas turbine technology and can provide an important reference for engineering practice and innovative research.
Analysis of Principle and Applications for Different Engines
Authors: Wu Luyang
Published: November 2024

Abstract. As a matter of fact, engines have been widely adopted and implemented in contemporary society, which has become one of the inevitable tools for human beings daily life in recent years. Nowadays, with the jet engines is extensively used on various aircraft, each type of engines has diversely functions in using. Therefore, with this in mind, the topic of this paper is to compare the different engines and their current use in the market. This research methods of this paper are as follow. Firstly, the data used by each engine are collected; secondly, the design sketch of each engine is sorted out, and the advantages and disadvantages of each engine are obtained through comparative analysis. According to the analysis, the research finds that the engines are all extending out of each other, and some features of engines are adapted to specific aircraft. Based on the comparison and evaluations, the turbojet is the most widely used engine.
Analysis the Principle and Applications for Locomotive Engine
Authors: Chen Zhirong
Published: November 2024

Abstract. The evolution of locomotives is the cornerstone of modern transport and has had a profound impact on economic growth and social mobility. From the pioneering steam locomotives of the 19th century, which marked the beginning of a transformative journey for rail transport, to today's complex diesel and electric locomotives, each technological advance has shaped the efficiency, speed and environmental impact of rail systems. With this in mind, this study will offer a systematically analysis for the principle as well as applications for such engine. Steam locomotives revolutionized the transportation of goods and passengers, laying the foundation for the future of rail travel. Diesel locomotives further enhance operational flexibility and reliability, while electric locomotives are becoming mainstream due to their energy efficiency and low emissions. This study explores the historical development of locomotives, highlighting key technological milestones and their impact on rail transport. Meanwhile, the current advances in locomotive technology, including the integration of hybrid power systems and alternative energy sources, are studied. As the rail industry faces increasing pressure for sustainability, it is important to understand the evolution and future prospects of locomotives. By analyzing these developments, this paper aims to provide insights into different locomotive principles and how locomotive technology is evolving in an era of increased environmental awareness and technological innovation, shaping the future of rail transportation.
Violência, insólito e reparação em "La Llorona" (2019), de Jayme Bustamante
Authors: Faqueri Rodrigo de Freitas , Pereira Zaratin Daniele Aparecida
Published: November 2024

Este artigo objetiva analisar a reconfiguração da Llorona no filme de mesmo nome (2019), dirigido por Jayme Bustamante, a partir da relação entre as marcas da violência histórica e os elementos do insólito ficcional. Nesse longa-metragem, apresenta-se a reconstrução ficcional de um episódio da história guatemalteca: o julgamento do ex-ditador Monteverde por seus crimes contra a população da etnia ixil maya, dizimada pela violência oriunda do regime totalitário. Nesse contexto, surge a figura de Alma, representação mítica da llorona, personagem que assombra o militar em consequência de suas atrocidades contra sua comunidade e seu povo. Culpado mas impune, o ex-ditador vê se descortinar diante de si uma pluralidade de eventos incomuns que revelam ser o insólito uma força motriz para que se consiga justiça pelos crimes cometidos, constituindo-se, portanto, como uma resposta à violência praticada pelo Estado. Contribuirão para nossa análise os estudos de Rafael Cuevas Molina (2012) e Grace Bushway (2021) sobre violência e cinema na Guatemala, bem como os aportes teóricos de Rosa M. E. de Montandon (2007), Ana Lúcia Trevisan (2017), Filipe Furtado (1980), entre outros, para se pensar a figura da llorona e a composição do insólito ficcional no mencionado filme do diretor guatemalteco.
Networked Learning with Digital Texts
Authors: Bayne Siân
Published: November 2024

This paper sets out to examine the implications of the academic use of digital text among learners in higher education. Working from the perspective that the study and production of texts - in whatever form - is a defining academic activity, it seeks theoretical and evaluative insight into the effects of the shift in learning contexts from printed to online, digital text. It begins by demonstrating how the metaphors of stability and mutability can be applied to the two forms, and moves on to examine the accounts given by students of their experiences of working with digital text. The paper ends by offering some alternative perspectives on these accounts, each of which suggests that the cultural shift from the print paradigm to the digital mode is one which is rendered problematic by many of the discourses we engage in when we describe the tasks of learning, teaching and scholarship.
Cabinets of Curiosity
Authors: Harding Judith
Published: November 2024

Drawing on current debates on embodiment, uses of networked learning, dialogical strategies in higher education teaching, and the force of metaphor and visual analogy, this paper will explore some diverse critical discussions of emotional responses to the internet. These may suggest some possible new approaches to conceptualising the role of networked learning in the landscape of higher education academic practice.The paper will also track the journey of one academic from entrenched sceptic to committed enthusiast through recognition of the imaginative possibilities of internet-based connection. This worked chiefly through being introduced to the extensive theoretical and philosophical literature related to internet use, and the development of new forms of writing that take advantage of the new opportunities the web offers to make imaginative metaphorical connections and explore personal histories. These new forms are informed by historical antecedents of the use of visual mnemonic and embodied learning.
Online Communities and the "un"-importance of e-Moderators
Authors: Puntschart Ines , Tochtermann Klaus
Published: November 2024

Within educational settings the use of social software often requires a time-consuming e-moderation, e.g. to keep discussions on a thematic track. This paper introduces a new methodology which helps to reduce the workload of e-moderators. To develop this methodology we present a community-communication model defining our problem space. Based upon this model we broaden our understanding about which effects are triggered by which actions of e-moderators. This leads to a set of "effect-equivalent" interventions associated to specific actions of e-moderators. Such "effect-equivalent" interventions reduce the workload ofe-moderators as they can be taken without help of an e-moderator but result in the same effects as an explicit action of an e-moderator.
The Postgraduate Learning Experience
Authors: Weyer Birgit , Johnson Tammy McClanahan
Published: November 2024

This study provided new knowledge in understanding how the online learning (OL) (N=22) postgraduate environment differed in program satisfaction and completion rates from the traditional learning (TL) (N=18) postgraduate environment. The key findings derived from this study were: (a) There was no evidence to support that individuals who graduated from online postgraduate programs had any difference in satisfaction levels with their program than those individuals who completed TL postgraduate programs; and (b) The estimated completion rate of individuals participating in the survey indicated that individuals studying in OL postgraduate programs completed their programs at a lower rate than individuals who studied in TL postgraduate programs.
Mediating between Services and Learning Activities - the User Perspective
Authors: Falconer Isobel , Littlejohn Allison , Conole Gráinne , Jeffery Ann
Published: November 2024

We reflect upon the LADIE project's experience of migrating a concept of user requirements from the teaching practitioner community to the technical developer community in the light of literature on 'mediating representations' and 'mediating artefacts'. We show that the practical operation of mediating representations is far more complex than previously acknowledged. We suggest that communities need to overlap, allowing reciprocal communication, to migrate concepts via a representation. If they do not, a chain of intermediate representations and communities may be necessary. Finally, we draw a tentative distinction between mediating representations and mediating artefacts, based not in the nature of the resources, but in their mode and context of use.
Symposium 3: Culture and eLearning Design: Insights from the eChina~UK Programme
Authors: Spencer-Oatey Helen
Published: November 2024

The aim of this symposium is to explore the question How,and to what extent, may culture impact upon effective eLearning Design? The presenters are all members of the eChina~UK Programme, an initiative established by the Higher Education Funding Council for England (HEFCE) and the Chinese Ministry of Education (MoE). The programme comprises a number of Sino-UK collaborative eLearning development projects, along with an overarching research project (see http://www.echinaprogramme.org ). In this symposium, culture is defined broadly, to include not only national cultures (Chinese and British), but also professional cultures (e.g. academic and technical) and different communities of practice. The first session of the symposium focuses on Chinese-UK perspectives on pedagogy in relation to eLearning design; the second session takes a project management perspective on the impact of culture on collaboration and eLearning design.
Symposium 3: International Teamworking and eLearning Design
Authors: Spencer-Oatey Helen , Tang Min
Published: November 2024

This paper focuses on international teamworking issues that arose in the initial pilot projects of the eChina~UK Programme. The authors collected a range of data over a 3 year period, including written records of meetings and email exchanges. In addition, they conducted two rounds of in-depth interviews with all the primary team members. This paper presents the findings that are most pertinent to effective teamworking for the design of eLearning courses, particularly in relation to project management. The authors identify important lessons for the effective management of international eLearning design projects that have emerged from their findings.
Symposium 4: Repositories for Teaching Materials and Learning Objects enablers and Barriers to Use
Authors: Morón-García Sue
Published: November 2024

This symposium aims to explore the issues around the use of repositories for teaching materials and learning objects. The focus is on enablers and barriers to the use of repositories.
Margaryan et al focus on the social aspects of sharing and reuse, considering the relationships between repositories and communities, and using an Activity Theory perspective to analyse the learning object repositories and their communities as sociocultural activity systems.
Smith provides an example of a growing community of practitioners who are developing resources out of a shared need, highlighting the rules of engagement that users and contributors have to follow.
Morón-García describes a short piece of research exploring the attitudes of teachers in further and higher education to sharing digital teaching and learning materials. The aim of this research was to explore the barriers and enablers to the creation of a regional and institutional repository services.
Symposium 6: Researching Social Conflict in Collaborative Groups
Authors: Picard Janice M.
Published: November 2024

There is a substantial body of literature examining conflict in social settings (Bartos & Wehr, 2002; Isenhart & Spangle, 2000; Coser, 1956) but considerably less understanding of social conflict in settings which are mediated by communications and information technologies (Hobman, Bordia, Irmer & Chang 2002; Graham, 2002). Understandings of collaborative environments have been acquired largely through the use of archived course transcripts. This strategy, while important in furthering our knowledge of computer mediated settings and collaboration in general, provides one understanding of learners’ online worlds. Methodologically, it has privileged observable behaviors over informal, and ‘back-stage’ (Goffman, 1969) or private social behaviors and processes (Jones & Cawood, 1998). This may be problematic when researchers wish to study phenomena such as private conflicts. This paper discusses one perspective for the study of covert conflict processes. It is argued that such an approach holds promise in obtaining more complete understandings of the meanings and dynamics of conflict in instructional groups in technology mediated settings.
Symposium 8: Meeting over Cultural Boundaries
Authors: Nordén Birgitta , Hansson Birgit
Published: November 2024

The purpose of our research is to analyze and describe the ways in which the students experienced their learning process in the field of sustainable development in the Young Masters Program, using a phenomenographic approach to the research. We are focusing in particular on the ways in which the meeting between the course materials, the intercultural discussions and the students’ own life-experiences constitute a context for learning, with emphasis on the diversity that is supported by the course. Data are collected from the students’ assignments and follow-up discussions where they reflect on the assignments in the course’s online meeting place. A learning perspective on the communication is in focus.
Symposium 8: Experiencing the University Context
Authors: Wigforss Eva , Booth Shirley
Published: November 2024

Our problem is how to design, with the use of distance and ICT, an appropriate academic context for learning, for students with no previous knowledge of this context. Our aim is to analyse and describe the learner’s relation to the object of his/her studies as part of his/her relation to the learning activity. By using a combination of a phenomenographic approach and activity system theory, we analyse how students experience the learning environment in the extended university. Our results are based in the learner’s perspective. A new methodological approach, using the techniques of creating an intersubjective field, is discussed at the end of the paper.
Symposium 9: The Effects of a Blended Course Including Person Centered Encounter Groups on Students’ Learning, Relationships, and Teamwork
Authors: Motschnig-Pitrik Renate
Published: November 2024

Recent educational strategies in the European Union encourage the development of attitudes and skills as a basis for knowledge development. In this paper we illustrate in which ways Person Centered education, developed by the American psychologist Carl Rogers to promote experiential, whole person learning, can be extended by employing new media. We describe the integration of new media into an academic course on Person-Centered Communication that includes encounter groups and virtual spaces for online communication and cooperation. Both the qualitative and the quantitative study confirmed that the vast majority of students learned significantly on the level of personal attitudes, social skills, and intellect and that online communication and support played a considerable, although not prominent role in their learning.
Analysis Pengembangan Instrumen Penilaian Sikap Sosial pada Mata Pelajaran Pendidikan Pancasila Kelas IV Sekolah Dasar
Authors: Sari Heny Puspita , Rosidin Undang , Perdana Ryzal , Yulianti Dwi
Published: November 2024

Penelitian ini bertujuan untuk menganalisis pengembangan instrumen penilaian sikap sosial pada pembelajaran pendidikan pancasila di kelas IV SDN 1 Labuhan Dalam, SDN 2 Labuhan Dalam, dan SDN 3 Labuhan Dalam. metode penelitian ini menggunakan model ADDIE, pelaksanaan dalam penelitian ini berfokus pada tahap Analysis. Pengumpulan data penelitian menggunakan lembar obsecrasi dan notulensi studi literatur. Analisis dilakukan pada 4 poin yaitu: 1) situational assessment, 20 content analysis, 3) formative evaluation dan 4) summative evaluation plan. Hasil analisis diadapatkan bahwa pendidik dalam proses pembelajarannya masih kurang dalam merancang struktur konten pembelajaran dengan memperhatikan sistematika hirarkis materi, hubungan antara konsep-konsep. Selain itu, pendidik kurang memperhatikan relevansi dan keterkaitan konten pembelajaran dengan tujuan pembelajaran dan kebutuhan peserta didik, relevansi antara konten dengan kehidupan peserta didik, aplikasi praktis, dan sikap sosial. Hasil studi literatur dalam penelitian ini didapatkan hasil bahwa rincian aspek penilaian sikap sosial 1) Pembentukan mental empati; 2) Sikap kerjasama dan kolaborasi; 3) Sikap toleransi dan menghargai perbedaan; 4) Sikap tanggung jawab sosial; 5) Pemecahan Konflik dan Keterampilan Komunikasi. Instrumen yang dikembangkan akan dilakukan uji kelayakan dari ahli asessment penelitian dan evaluasi Pendidikan dan Kelayakan penilaian sikap sosial pada pembelajaran Pendidikan Pancasila.
Kontribusi Kompetensi Manajerial dan Supervisi Kepala Sekolah dalam Meningkatkan Kompetensi Guru-Guru SMP Sekecamatan Pantai Baru Kabupaten Rote Ndao
Authors: Foeh Yonatan , Saetban Sem , Bire Chatryen M. Dju , Sidabutar Hasudungan , Nubatonis Petrus A. N.
Published: November 2024

Penelitian ini bertujuan untuk mengetahui kontribusi kompetensi manajerial dan supervisi kepala sekolah terhadap kompetensi guru di SMP Negeri Sekecamatan Pantai Baru Kabupaten Rote Ndao. Metode penelitian ini menggunakan metode survei dengan pendekatan kuantitatif dengan analisis korelasional yang ingin mengetahui hubungan antar dua variabel atau lebih. Populasi yang digunakan pada penelitian ini ialah seluruh guru dan kepala sekolah sebnyak 95 orang, karena sampel kurang dari 100 maka semua anggota populasi dijadiakan sebagai sampel penelitian. Data dikumpulkan menggunaakan angket dan dokumentasi. Data dianalisis menggunakan analsisi korelasi sederhana dan korelasi berganda. Hasil penelitian menunjukan bahwa 1) Nilai Signifikansi X1 terhadap Y ? 0,05 artinya ada hubungan positif antara kompetensi manajerial kepala sekolah dengan kompetensi guru di SMP se-Kecamatan Pantai Baru, dengan kata lain bahwa kompetensi manajerial kepala sekolah semakin meningkat maka kompetensi guru juga semakin meningkat atau sebaliknya; 2) Nilai Signifikansi X2 terhadap Y ? 0,05 artinya ada hubungan atau korelasi negatif antara kompetensi supervisi kepala sekolah dengan kompetensi guru pada SMP Sekecamatan Pantai Baru artinya bahwa semakin meningkatnya kompetensi manajerial kepala sekolah diikuti dengan penurunan kompetensi guru atau sebaliknya; 3) Nilai Signifikansi X1 dan X2 terhadap Y ? 0,05 artinya ada hubungan atau korelasi negatif antara kompetensi manajerial dan kompetensi supervisi kepala sekolah dengan kompetensi guru pada SMP Sekecamatan Pantai Baru artinya bahwa semakin meningkatnya kompetensi manajerial dan supervise kepala sekolah diikuti dengan penurunan kompetensi guru atau sebaliknya.
Pengaruh Perencanaan Anggaran, Kompetensi SDM, dan Pengadaan Barang dan Jasa terhadap Tingkat Penyerapan Anggaran Pengadaan Barang dan Jasa Pemerintah Daerah (Studi Empiris pada Organisasi Perangkat Daerah KSB)
Authors: Sulcat Ratilus , Yamin Ahmad , Ananda Nova Adhitya
Published: November 2024

Penelitian ini bertujuan untuk menganalisis pengaruh perencanaan, kompetensi SDM dan pengadaan barang dan jasa terhadap tingkat Penyerapan Anggaran Pengadaan Barang Dan Jasa pada Organisasi Perangkat Daerah KSB. Penelitian ini menggunakan metodologi kuantitatif dan menggunakan teknik deskriptif untuk menganalisis data. Sampel penelitian berjumlah 100 responden yang merupakan pegawai negeri sipil yang bekerja di organisasi perangkat daerah (OPD), Kabupaten Sumbawa Barat (KSB). Data dianalisis dengan metode Partial Least Square (PLS) yang termasuk dalam domain Structural Equation Modeling (SEM). Hasil penelitian menunjukkan bahwa perencanaan berpengaruh positif dan signifikan terhadap penyerapan anggaran, kompetensi SDM positif dan signifikan terhadap penyerapan anggaran dan pengadaan barang dan jasa berpengaruh positif dan signifikan terhadap penyerapan anggaran. Kemudian ketiga variabel tersebut mampu mempengaruhi penyerapan anggaran Pengadaan Barang Dan Jasa pada Organisasi Perangkat Daerah KSB secara simultan. Kesimpulannya berarti bahwa perencanaan yang baik, peningkatan kompetensi SDM, dan proses pengadaan yang efisien secara individual berkontribusi terhadap peningkatan efektivitas penyerapan anggaran. Selain itu, penelitian juga mengungkap bahwa ketiga variabel ini secara simultan mampu mempengaruhi penyerapan anggaran pengadaan barang dan jasa pada Organisasi Perangkat Daerah (OPD) di Kabupaten Sumbawa Barat (KSB). Temuan ini menegaskan pentingnya sinergi antara perencanaan yang matang, kompetensi SDM yang tinggi, dan sistem pengadaan yang efisien untuk mencapai penyerapan anggaran yang optimal dan mendukung pencapaian tujuan organisasi secara keseluruhan.