bluuebunny/crossref_metadata_2025 huggingface dataset:
The Peculiarities of Integration of Developing Countries into Global Value Chains
Authors: Romanov I. G.
Published: December 2023

Participation in global value chains (GVCs) has traditionally been one of the most important external factors of socio-economic development of developing countries. However, the successful and deep integration of national economies into GVCs can`t be considered a universal phenomenon, and at present many developing countries remain unattractive in terms of locating the business operations carried out within international companies` global production networks. The aim of this article is to identify the major peculiarities of developing countries` integration into GVCs. In addition, the paper provides several examples of how certain factors contributed to the entry of individual states, namely Vietnam, Costa Rica and Morocco, into specific GVCs. Special attention in the research is paid to the role of developing countries` public policy in creating the favorable business environment for joining GVCs. The analysis indicates that developing countries can strengthen their potential for integration into GVCs by optimally utilizing the existing comparative advantages along with applying the public policy measures aimed at improving the quality of business environment.
Return on Investment in Human Capital in Russia: Regional Aspect
Authors: Zakirov D. I.
Published: December 2023

The purpose of the article is to assess the return on investment in human capital in Russia in a regional context. To achieve this goal, based on the data of the Russian monitoring of the economic situation and health of the population of the National Research University Higher School of Economics, 2 specifications of the Mincer equation were assessed. The sample consists of individual questionnaire data for 9–30 waves (2000–2021). The general population is divided into eight sub-samples, each of which characterizes a federal district (FD). Several important results were obtained: the lowest return in the North Caucasus Federal District (NCFD), this result is explained by the lack of jobs for highly skilled workers and the high level of corruption in the regions of the NCFD; rich FDs have a lower return on investment in HC than poor ones; the difference between the categories of respondents with incomplete secondary education and respondents with completed secondary education is insignificant; the highest return on higher education is in the Far Eastern Federal District (FEFD), as respondents with higher education from the FEFD receive 62.6 percent more than respondents with less than secondary education.
Artificial Intelligence: Perspectives of Entrepreneurs and Investors
Authors: Turaeva A. R. , Mirzoyan A. G.
Published: December 2023

The paper analyzes the views of technology entrepreneurs and investors on artificial intelligence (AI). The study uses two data collection methods: interviews and questionnaires. Based on the results of the analysis, respondents' views on the main risks associated with the use of AI were revealed, as well as the expected effects from its use in emerging companies. Using ordinal logistic regression, it was revealed that the idea that AI is “hype” is negatively influenced by the experience of founding a company, as well as the use of AI in everyday life. Using the method of hierarchical clustering, groups of respondents with similar views on AI were identified and described.
BRICS and the Race to Net- Zero Emissions by 2050: Is COVID-19 a Barrier or an Opportunity?
Authors: Chapungu L. , Nhamo G. , Chikodzi D. , Malebajoa A. M. , Beletskaya M. Yu.
Published: December 2023

The emerging economies of Brazil, Russia, India, China and South Africa (BRICS) have significant influence on the global economic and environmental trajectories. They have carbon intensive economic systems, which contribute significantly to total global greenhouse gas (GHG) emissions, leading to climate change. However, BRICS have joined the race to net-zero emissions by 2050 in the quest for a climate neutral and sustainable global economy. The journey, however, is not without challenges and opportunities. The proliferation of the coronavirus disease 2019 (COVID-19) had mixed reactions from scientists regarding its implications on net-zero trajectories. While statistical data show a correlation between COVID-19 and a decrease in total emissions, it is envisaged that COVID-19 compromised the efforts to develop carbon neutral economies. Hence, there is still a need for more scientific examination of COVID-19's impact on net-zero ambitions, especially in the emerging economies. This study focuses on India and South Africa's trajectories. Statistical analysis of secondary data from authentic interactive web-based dashboards for COVID-19 data repositories, namely Our World in Data and Climate Action Tracker was performed in conjunction with the document analysis approach following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. Some of the COVID-19 challenges as indicated by the results of the study include curtailing the technology transfer staircase in the energy sector, retaliatory emissions for recovery and resource diversion. The opportunities presented by COVID-19 in the quest for carbon neutrality include behavioral changes in investment, production and consumption patterns with a focus on low carbon options. Governments and stakeholders need to focus on addressing the barriers whilst riding on the opportunities presented by the pandemic to achieve net-zero emissions by 2050.
EKSPLIKASI KIRKPATRICK LEVEL 1 DAN 2 PADA PELATIHAN JARAK JAUH DI BALAI DIKLAT KEAGAMAAN BANDUNG
Authors: Nabilah Syifa , Juniarahman Nur Azizah , Purnomo Purnomo
Published: December 2023

The objective of this study is to conduct an evaluative analysis of the Religious Harmony Distance Training Batch III using the Kirkpatrick evaluation methodology. The training was conducted by the Bandung Religious Training Center, and the assessment will focus on the reaction and learning levels. The employed research methodology entails a descriptive approach that incorporates quantitative techniques. The study's sample consisted of all individuals who had participated in the third batch of the training program. Data for the study was obtained via questionnaires. The findings of this study indicate that the Kirkpatrick level 1 reaction model demonstrated trainees' satisfaction and positive response towards the training implementation. Additionally, at level 2, the learning outcomes effectively met the training objectives. Consequently, the application of the Kirkpatrick model at the reaction and learning levels successfully addressed issues in the third batch, yielding positive outcomes. Keywords: Evaluation; Religious Harmony Training; Kirkpatrick Model
IMPLEMENTASI MODEL PEMBELAJARAN BLENDED LEARNING TIPE FLIPPED CLASSROOM UNTUK MENINGKATKAN MINAT BELAJAR PESERTA DIDIK
Authors: Wulandari Yessi , Halim Abdul , Nasrullah Nasrullah , Syukri Muhammad , Elisa Elisa
Published: December 2023

The goal of this research was to find out if students were more enthusiastic about learning about mechanical wave material using the flipped-classroom paradigm of blended learning. The methodology of this investigation is quantitative. This study used a quasi-experimental strategy based on a pre- and post-test control group design. This study was carried out at SMA Negeri 1 Bireuen. Students from SMA Negeri 1 Bireuen's IPA class of the 2021–2022 school year made up the study's population. This research employed a "purposive sampling" technique. Thirty students from IPA XI class B served as the study's experimental group, while the same number from IPA XI class C was control group. The researchers used a student interest survey that asked about four factors: pleasure, attention, interest, and involvement. Percentage interest surveys administered both before and after implementing the flipped-classroom into both experimental class and controlled class. Research and data analysis have led to the conclusion that students who adopt a blended learning model of the flipped-classroom variety show a marked improvement in their learning interest when compared to students who adopt conventional model of instruction (direct interaction).Keywords: Interest; Flipped Classroom; Blended Learning
TECHNOLOGY MANAGEMENT IN EDUCATION AND TRAINING: A THEORETICAL CONCEPT
Authors: Fauzi Reza , Khusni Khusni Khusni , Zaqiah Qiqi Yuliati
Published: December 2023

This study attempts to get a general understanding of technology management in training and education. This research employs a qualitative approach with the literature method. The findings indicated that management actions serve as the key support for educational technology to provide outcomes that are consistent with the goals. The successful management of educational technology by human resources within educational institutions is essential to its implementation in educational institutions. If there is a trained workforce in the area of educational technology who can 1) design learning processes and resources, with the scope of work including designing learning systems, message design, learning strategies, and learner characteristics, then educational technology can be developed and used properly; 2) create educational materials and methods, such as the advancement of print technology, audiovisual technology, computer-based technology, and integrated technology; 3) use learning procedures and tools, such as learning media, educational innovation dissemination, and rules and guidelines adoption governing education and training; 4) manage learning resources and processes with project management, and education-training management information systems, etc.; and 5) evaluate problem analysis, benchmark reference measurement, the formative and summative assessment included in the evaluation. Keywords: Management; Educational Technology; Education; Learning; Training
E-SERVICE QUALITY AND E-RECOVERY SERVICE: EFFECTS ON PERCEIVED VALUE AND LOYALTY INTENTION OF DANA APPLICATION USERS
Authors: Gaffar Mohammad Rizal , Fajar Kurnia , Suryana Marceilla , Febrianty Ilma Amilia , Susanto Eko
Published: December 2023

DANA is one of the electronic-based financial applications that supports non-cash transactions. It has the second-largest total users in Indonesia. However, users have complained about this application's quality of service and recovery. This research aims to determine the mediating effect of perceived value on e-service quality and e-recovery service towards loyalty intention. This research uses a quantitative method with a purposive sampling technique. The sample in this research is 164 respondents. PLS-SEM is used to analyze the model. The results of this research indicate that e-service quality has a direct and significant effect on perceived value. E-recovery service does not have a direct positive and significant effect on perceived value. Furthermore, there is no mediating effect of perceived value on e-service quality and e-recovery service towards loyalty intention. Keywords: e-service quality; e-recovery service; loyalty intention; perceived value
Modified Particle Swarm Optimization for the Optimum Use of Multi-Reservoir Systems: MRP Complex, Chhattisgarh
Authors:   Civil Engineering Department, National Institute of Technology, Raipur, Chhattisgarh 492001, India, Verma S. , Sahu I. ,   Civil Engineering Department, Vardhaman College of Engineering, Shamshabad Rd, Kacharam, Telangana 501218, India, Prasad A. D. , Verma M. K. ,   Civil Engineering Department, National Institute of Technology, Raipur, Chhattisgarh 492001, India
Published: December 2023

The effective operation of reservoirs has been a key concern among the water resources management authorities as a consequence of global water shortages and decreased surface water runoff owing to increasing water demand and the effect of climate change. Water shortages, economic constraints, and environmental concerns have all contributed to the optimization of operations becoming increasingly replaced by new technologies. Optimization operation of water resources system is a challenging issue because of its nonlinearity, multiple constraints, and several dimensions. To address the challenges associated with the operation of the multipurpose Mahanadi reservoir in Chhattisgarh, India. The present study utilizes the application of modified particle swarm optimization (MPSO). The present study was conducted to evaluate the performance of the particle swarm optimization (PSO) model in comparison to the current operating reservoir system, to minimize the sum of squared deviations in downstream release and demand. The average percentage changes in reliability (100.31%), resilience (85.02%), sustainability (24.54%), as well as vulnerability reduced up to 69.54%. The model also had the lowest error parameters in the system such as (RMSE = 1.3892, MAPE = 0.1003, NMSE = 0.1025, MAE = 38.6689, and MSE = 1.9299), despite having the highest R2, i.e., 0.8974. When applied to the Ravishankar Sagar reservoir, MPSO yields optimal, worst, average, and standard deviation (SD) values of 0.45, 0.56, 0.51, and 0.038, respectively. In terms of optimizing the release and storage rates, MPSO performed consistently better than the PSO and other metaheuristics reviewed from the literature during the study. Therefore, MPSO is advantageous in the search for the optimal reservoir operation policy because it is easy to implement, requires less functional evaluations, and quickly tracks global optimum. Hence this study provides significant evidence that MPSO can be used to effectively solve real optimization challenges.
Hydro-Meteorological Disaster Incidents and Associated Weather Systems in Sri Lanka
Authors:   Disaster Management Centre (DMC), Colombo, 00700, Sri Lanka, Tillekaratne H. I. , Jayawardena I.M.S.P. ,   Department of Meteorology, Colombo, 00700, Sri Lanka, Basnayaka V. ,   Department of Civil Engineering and Management, University of Twente, Enschede, 7500 AE, Netherlands, Rathnayake U. , Werellagama I. ,   Department of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, Sligo, F91 YW50, Ireland,   The Open Polytechnic, Waterloo, 5040, New Zealand, Herath S. ,   Enviforecasting LLC, Setagaya-ku, Tokyo, 154-0016 Japan, Nianthi K.W.G.R ,   Department of Geography, Faculty of Arts, University of Peradeniya, Peradeniya, 20400, Sri Lanka, Madduma-Bandara C. M. , Bandara T. W. M. T. W.
Published: December 2023

This paper presents a comprehensive seasonal analysis of disaster incidents with their associated weather systems happened in Sri Lanka since 1907 to 2019. Disaster incidents and weather records were collected from different reliable sources and analysed with the observed weather systems to understand the formation and development of the weather systems. According to the observations, frequent hydro-meteorological hazards experienced by the country are extreme winds, floods, and landslides. The seasonal analysis shows that majority of these hydro-meteorological disasters have occurred during the southwest monsoon, where the weather was mainly dominated by the monsoon winds entering from the southwest of Sri Lanka which creates torrential rainfall mainly in the wet zone of the country. The frequency of formation of depression and deep depression, from 1907 to 2019 shows that most of these are formed in the Bay of Bengal (BoB), North Indian Ocean, from October to January while having the highest frequency in November followed by December. The study will help to understand the possible damages, and thereby help the community to be prepared for such future hazards. The need for a central platform for generating timely impact-based warnings and helping the community to act was also identified. Further, the census block can be suggested as the smallest; Micro-Geographic Incident Response Unit (MG-IRU) to grant the decision-making power and connect the institution and community in the disaster risk management process.
Conceptual Framework for the Application of the ANN Model in Accident Prediction
Authors: Sarkar Amrita , Sarkar Satyaki
Published: December 2023

Conceptual framework for accident prediction is an essential toolkit to curb accidents and fatalities globally. Different statistical methods and soft computing techniques are used to develop accident prediction models. Accident prediction models have been developed using two approaches, i.e., multiple linear regression (MLR) and artificial neural network (ANN). ANN has been applied to predict the frequency of traffic accidents. Adaptive neuro-fuzzy inference system (ANFIS) has been used as the feature selection method. Feature selection using ANFIS gets more accuracy with ANN was considered the most suitable based on prediction accuracy and measuring errors. It gives around 81.81% accuracy. The framework of hybrid model proposed in this chapter concludes that the prediction accuracy is high when ANN is applied for accident prediction, followed by the ANFIS as a feature selection method.
Toward Comprehensive IS Project Alignment
Authors: Bajolle Eddy , Godé Cécile , Fabbe-Costes Nathalie
Published: December 2023

Previous research offers limited and fragmented frameworks for information systems project alignment (ISPA). This study fills this gap by providing a comprehensive overview of the interplay between an IS project and its broader organizational context, and clarifying how contextual alignments relate to IS project success. ISPA is explored by observing a five-year implementation of an Enterprise Resource Planning (ERP) system within a logistics service provider based in Europe and North Africa. The study's findings and key contributions highlight the plural, complex, and multifaceted nature of ISPA resulting from the interaction of strategy, structure, process, people, and culture between the project, business, and IS organization. This chapter presents a comprehensive ISPA framework and is expected to increase project managers' awareness of the context in which IS projects are managed.
Cybernetics Principles in the Management of Intelligent Organizations
Authors: Bigirimana Stanislas
Published: December 2023

Against the background that mechanical principles were applied in management leading to bureaucracy, an application of cybernetics principles in management would imply (1) a behaviouralist approach to organisations, (2) teleology: reintroducing the notion of purpose, (3) managing complexity, (4) systems thinking, (5) managing as building intelligence, (6) managing as integrating knowledge domains. This overcomes the rigidity embedded in bureaucracy where organizations sought stability and equilibrium and operated in a relatively stable environment for a dynamic and integrative approach to organisations which are not closed stable entities but dynamic open systems. Organisations built on cybernetics principles are agile and continuously respond to their environment through information processing and feedback loops. In this context, there is a paradigm shift from top down management processes linked with hierarchy to cross-functional, flexible, adaptable, and open to learning management principles based on knowledge networks. Alternatives to bureaucracy can be suggested in terms of flat, inverted pyramids, matrix, networked and virtual organisational structures which may stipulate a change from Michael Porter's normative approach to strategic management to Mintzberg's descriptive approach. Organisational structures are not cast in stone but respond to changes in the environment, and there is a paradigm shift in corporate culture from organisations as closed stable entities to organisations as open dynamic systems, from competition to trust and collaboration including outsourcing, consortia, joint venture, and conglomerates become better ways of satisfying customer needs. From a corporate culture there is also a change from focusing on power and ownership in decision-making to focusing on knowledge and an increased use of information and communication technologies leading to virtualisation.
Customer Churn Prediction for Financial Institutions Using Deep Learning Artificial Neural Networks in Zimbabwe
Authors: Chiurunge Panashe , Kandiero Agripah , Chizwina Sabelo
Published: December 2023

The research was conducted to develop a customer churn predictive modelling using deep neural networks for financial institutions in Zimbabwe using a local leading financial institution. This was based on a need to perform a customer churn analysis and develop a very high accurate and reliable customer churn predictive model. In this era, every customer counts, hence once acquired a business should do everything in its power to keep that customer because the cost of acquiring a new customer is far greater than the cost of keeping an existing one. Therefore the need to ascertain customers who have churned and also be at a position to anticipate those who are churning or are about to churn then take corrective measures to keep such customers on board. The study followed one of the data science research methodologies called CRoss industry standard process for data mining (CRISP-DM) which involves understanding the business, understanding the data, data preparation, modelling, validating the model then deployment of the model.
Foundations of AI in Human Resource Management
Authors: Rafiq Muhammad , Dastane Omkar
Published: December 2023

This chapter provides a comprehensive introduction to the role of artificial intelligence in HRM within Asian contexts. It explores the basic concepts, methodologies, and theories of AI, and its transformative impact on HRM practices. The chapter delves into AI applications in recruitment, performance appraisal, workforce planning, and ethical considerations, setting the stage for a deeper understanding of AI integration into HR strategies in Asian organizations.
Artificial Intelligence and Green Human Resource Management
Authors: Masood Fazeelat , Khan Naveed R. , Masood Erum
Published: December 2023

Artificial intelligence (AI) refers to developing computer systems that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making. Green HRM, on the other hand, is a holistic approach to managing human resources that considers the environmental impact of an organization's operations. The AI-green HRM integration has the potential to create a powerful synergy that can help organizations become more sustainable. For example, AI can be used to analyze data and identify areas of an organization where energy and resources are being wasted. This information can then be used to develop and implement more sustainable practices. First, this chapter generates insights into the significance of AI-Green HRM integration. Second, this chapter illustrates challenges faced by organizations in the adoption of AI in endorsing green HRM practices. Third, this chapter concludes the managerial implications of AI-Green HRM for organizations, in particular the Malaysian context.
Leveraging Learning Analytics to Support Learners and Teachers
Authors: Ulutaş Nurdan Kavaklı , Höl Devrim
Published: December 2023

This chapter provides a brief introduction to learning analytics (LA) to support teaching and learning. In doing so, it attempts to enhance the perspectives to organize educational communities to showcase emergent practices specifically for K-12 education for a better learning design for both learners and teachers. Thus, how data can transform learning environments to enhance learner engagement and performance together with the utilization of LA for educational purposes are scrutinized by means of evidence-based research in related literature to provide pedagogical applications of LA as a promising area of research.
A Framework for Online Learning Analytics in K-12 Classrooms as a Precursor for Personalized Learning
Authors: Van der Merwe Ronelle Klinck , Goosen Leila
Published: December 2023

The purpose of the research study reported on in this chapter is to develop a framework for online learning analytics (LA) in schools as a precursor for personalized learning. Against the background of emergent practices related to learning analytics in Kindergarten/grade R through grade-12 classrooms, the chapter will present the authors' perspectives on learning analytics in open and distance learning environments, as well as barriers, and discuss future research directions for K-12 classrooms.
Rethinking Learning Engagement Through Emotional Learning Analytics in K-12 Classrooms Through Social-Emotional Learning and Mindfulness
Authors: Ulutaş Nurdan Kavaklı
Published: December 2023

Since human beings are not only physical entities, albeit constituted by complex social and emotional features, their well-being also depends on learning how to communicate their needs to the others in an effective way, and to manage their emotions in a healthy way. From the learning perspective, emotional health also contributes to enhanced academic success, leading to improvement in learning. It is, thus, of critical importance to develop an understanding for learning engagement through the utilization of a novel concept of emotional learning analytics (ELA) to transform education systems with the purpose of molding a future that strengthens improved academic success as well as nestling peace and well-being. Accordingly, this review aims to provide a double dividend to the learners in K-12 classrooms to embrace the significance of social-emotional learning (SEL) and mindfulness to rethink learning engagement by synthesizing the findings, challenges, and recommendations from latest research through ELA to nurture emphatic learners for a sustainable society across the world.
How Does Gamified L2 Learning Enhance Motivation and Engagement
Authors: Majdoub Mourad , Heilporn Géraldine
Published: December 2023

In recent years, the popularity of gamification has gained momentum with the growing numbers of publications as well as the mass appeal among learners for its potential to stimulate motivation, engagement, and positive experiences. However, this vein of research has mainly focused on the effects of game mechanics and how they can be incorporated within a gamified learning context to enhance users' positive experiences. In L2 teaching and learning, the literature states that most studies on gamification lack theoretical principles that can guide the design of gamified learning experiences that promote learners' motivation and engagement. To make the picture more coherent, this chapter synthesizes the existing literature on gamification L2 learning, focusing on empirical findings related to factors affecting L2 learning, current L2 gamified design models, gamification affordances, and their inherent motivational and engagement outcomes. For this review, thematic and content analysis of 73 publications dating from 2017 to late 2022 were examined.
Hybrid Flexible (HyFlex) Teaching in Foreign Language Education
Authors: Öz Gülşah
Published: December 2023

Hybrid flexible (HyFlex) teaching, which is assumed as a much more flexible and learner-centered instruction mode, has received great attention from educators and researchers in recent years. In HyFlex learning and teaching environment, learners can make decisions on how they attend lessons i.e., face-to-face in a real classroom, online synchronously, or asynchronously after the allotted real lesson time. The present chapter aims to introduce HyFlex teaching as a new digital pedagogical and technological approach to the mode of instruction in relation to the foreign language learning and teaching field. In addition, this chapter discusses the benefits of EFL teaching in HyFlex classroom environments along with some challenges and possible solutions proposed by instructors in the light of the current relevant literature and empirical research. Furthermore, HyFlex teaching can promote equal, inclusive, and accessible learning conditions for all students regardless of their diverse backgrounds are addressed, in turn fostering foreign language learning and teaching processes.
EFL Learners' Digitalized Practices in Promoting Vocabulary Learning at the Higher Education Level
Authors: Kimsesiz Fatma
Published: December 2023

Technology has become an integral part of education; and language instruction, which is communicative in nature, has a share in the whole unit. The widespread use of portable devices has also transformed language learning through diverse accessible facilities that can alternatively be evaluated in an out-of-school context. This paved the way for self-directed learning practices that enable learners to advance their language skills and vocabulary. This study aimed to investigate these self-directed practices for learning vocabulary in English. 120 EFL learners at diverse departments at a state university in Turkiye participated in the study. For data collection, a survey was employed that interrogated the self-directed vocabulary learning practices of the participants in digital contexts. The results of the study showed that learners use mobile technology for English language practices and adopt different strategies in vocabulary learning supplied by a variety of digital applications and facilities. The results are discussed and related implications are addressed based on the findings.
The Role of Competition Law in Promoting Access to Telecommunication Services in Tanzania
Authors: Temu Goodluck
Published: December 2023

As of June 2023, the percentage of Tanzanians who had access to a telephone was more than one hundred per cent. However, this has not always been so. For example, in 1997, there was a telephone density of 0.32 per cent. This average was much lower than those of neighbouring Kenya (0.92), the Southern African Development Community (SADC) (3.4), Asia (3.86), and Europe (35.36). Fast forward a little over twenty years and practically everyone in Tanzania now has access to a telephone. This chapter, among other things, argues that establishing favourable legislative and regulatory frameworks that encourage the competitive provision of telecommunication services has directly contributed to these developments. As a result, the chapter's primary argument is that the implementation of these frameworks has directly contributed to increased access to telecommunications services, which in turn has contributed to the achievement of the SDGs.
Competition Law and the Transition to Low-Carbon in Indonesia
Authors: Sayekti Cenuk Widiyastrisna , Wijoyo Suparto
Published: December 2023

This chapter investigates the possibility of policy in support of low carbon transition under the competition law. It is true that competition law and environmental policies are key drivers of innovation, but their interplay is need to be explored more. The main question in this chapter is: does the competition law can help to achieve the Indonesia's Net Zero and sustainability goals? This study uses a qualitative approach that analysis the success of competition law in fighting climate change and boosting the transition to low carbon. Qualitative techniques are carried out through literature studies or references that describe analysing of implementing a competition law on the environment and mitigating climate change caused by carbon emissions.
Large Language Models in Academic Publishing
Authors: Thiga Moses Mwangi
Published: December 2023

Large language models continue to find greater utilization in the academic publishing process since their introduction. On one hand they are beneficial in manuscript development, review and editorial tasks through finding and presenting information in an academic and professional manner. On the flip side there are concerns over the accuracy of the content they generate as well as the tendency for some authors to present these outputs in manuscripts without proper attribution leading to plagiarism. This chapter examines their practical uses and challenges, and makes recommendations on how their use can be mainstreamed in academic publishing. The chapter further makes recommendations on areas for their future development through the enhancement of foundational models using data from credible sources such as peer reviewed journals, books, and online sources of credible organizations.
Intersection of Adaptive Learning, Global Collaboration, and Knowledge Sharing Through Machine Learning in Higher Education
Authors: Thingom Chintureena , Ravichandra Thangjam , Krishna Kumari R. , Sagar Imambi S. , Beri Nimisha
Published: December 2023

The chapter explores the integration of adaptive learning, global collaboration, and knowledge sharing in higher education, highlighting their transformative impact. Adaptive learning, driven by machine learning algorithms, tailors educational content to individual student needs, ensuring engagement and mastery of subjects. Global collaboration allows students to connect with peers, faculty, and experts worldwide, promoting diverse perspectives and cross-cultural learning. Knowledge sharing, facilitated by digital platforms and machine learning, empowers learners to create, curate, and disseminate knowledge, fostering a culture of collaboration and innovation. The chapter also discusses the challenges and ethical considerations in implementing machine learning in education, emphasizing privacy and data security. It also explores how educators can use data-driven insights to enhance pedagogical strategies.
AI and Blockchain for Industrial Robotics
Authors: Prasad Sanjana , Prasad Deepashree Rajendra
Published: December 2023

The fusion of artificial intelligence (AI) and blockchain technology holds the promise of a profound transformation in the realm of industrial robotics. This amalgamation has the potential to usher in a new era characterized by heightened automation, transparency, and trust within production and supply chain processes. Nevertheless, as is often the case with technological advancements of this magnitude, it is imperative to recognize and address several ethical, legal, and social concerns that accompany this paradigm shift.
Application of AI and Blockchain Technologies in the Medical Domain
Authors: Varadam Deepak , Shankar Sahana P. , Shankar Anirudh , Narayan Ashwath , N. P Nidhi , Kumar Tushar Narendra
Published: December 2023

The rapid advancements in artificial intelligence (AI) and blockchain technologies have brought about significant transformations in various sectors, including healthcare. This proposal outlines a research paper that aims to investigate the different approaches and applications of AI and blockchain technologies in the medical domain. By exploring the integration of these technologies, the authors seek to analyze their potential benefits, challenges, and ethical implications in revolutionizing healthcare practices. The study will involve a comprehensive review of relevant literature, case studies, and interviews with experts in the field. The findings will contribute to a deeper understanding of the synergistic effects of AI and blockchain in healthcare, paving the way for enhanced decision-making, data security, interoperability, and patient-centric care.
From Industry 4.0 to 5.0
Authors: Velusamy Sakthivel , Raguvaran S. , Vinoth Kumar S. , Suresh Kumar B. , Padmapriya T.
Published: December 2023

Industry 4.0, often known as the fourth industrial age, connects the physical world with its digital counterparts, or “virtual twins.” This chapter discusses cutting-edge technologies, from IoT to emerging intelligence, that are being created by the organizations where the researchers work. The authors believe that the convergence of these advancements will make it possible to move from Industry 4.0 to Industry 5.0. This research undertakes extensive research on retrieving technology to enhance the efficiency of managing employees' archiving information in light of Industry 4.0. This study discusses the foundations of knowledge retrieval, and the retrieval model to solve the shortcomings of the current sorting algorithms. This chapter uses the concept of Industry 4.0 to develop the digital management framework for employees' archive data. The investigational findings demonstrate some effects of the digital administration approach on personnel archives described in this research.
Cloud Computing Solutions for Smart Factories Scalability and Collaboration
Authors: Vashishth Tarun Kumar , Sharma Vikas , Sharma Kewal Krishan , Kumar Bhupendra , Chaudhary Sachin , Panwar Rajneesh
Published: December 2023

Cloud computing solutions have emerged as a game-changer for smart factories, revolutionizing the way manufacturing processes are managed and executed. This chapter delves into the role of cloud computing in smart factories, with a specific focus on scalability and collaboration. As smart factories continue to adopt advanced technologies such as the internet of things (IoT), big data analytics, and artificial intelligence, the need for scalable and collaborative cloud solutions becomes paramount. The chapter explores the concept of scalability in cloud computing and its implications for smart factories. Leveraging cloud resources, manufacturers can dynamically scale their computing power, storage, and networking capabilities to meet fluctuating demands. This elasticity enables cost optimization, as resources can be allocated precisely when and where they are needed, ensuring efficiency and reducing waste. Additionally, the chapter emphasizes how scalability facilitates the integration of new technologies and the seamless expansion of manufacturing operations.
Exploring the Benefits of Virtual Reality (VR) in Manufacturing Training
Authors: Nayak Arpita , Patnaik Atmika , Satpathy Ipseeta , Patnaik B. C. M. , Gupta Subir
Published: December 2023

Manufacturing necessitates a delicate balance of productivity and safety, and factory training must reflect this. Leaders must be able to swiftly grow the workforce to guarantee high productivity. Through off-the-line mental repetitions, virtual reality training assists industrial coworkers in acquiring task execution abilities, boosting situational awareness, and comprehending safety standards. Manufacturers are embracing virtual reality training because it has been shown to drastically cut training times, safety issues, and worker time to profitability. By generating engaging, genuine teaching settings, virtual reality (VR) technology revolutionizes human learning by giving hands-on experiences, improving safety, increasing productivity, and lowering costs. Virtual reality (VR) technology enhances hands-on experiences, reliability, efficiency, and affordability by creating immersive, genuine instructional settings. The chapter presents an overview of the major advantages that VR offers in industrial training programs.
The Online Forum Impact on Student Engagement and Critical Thinking Disposition in General Education
Authors: Chen Xinyu , Wan Yahaya Wan Ahmad Jaafar
Published: December 2023

This study explores the influence of blended learning on nurturing critical thinking (CT) disposition in the context of China's general education courses, addressing challenges like low engagement, large class sizes, and diverse academic backgrounds. It highlights the importance of teaching for thinking and the significance of CT disposition in academic and professional success. Despite a dearth of literature on CT disposition development in general education, this mixed-methods research utilized semi-structured interviews and a quasi-experimental pretest-posttest design with 93 participants. SPSSPRO facilitated moderation analysis and paired-sample T-tests to assess changes in the dependent variable. Results indicate that integrating online forums in blended learning significantly improves students' engagement and CT disposition, with different academic backgrounds having no substantial impact. These findings may offer valuable insights for enhancing students' engagement and CT disposition across diverse educational settings.
The Effectiveness of Breakout Rooms in Blended Learning
Authors: Wali Fatema Ahmed , Tammam Zahra
Published: December 2023

This research project describes the use of breakout rooms in the faculty of EDICT degree English courses at Bahrain Polytechnic. It draws on the experience of tutors employing breakout rooms in online classes and students' experience using the technological tools of breakout rooms and examines the effectiveness of breakout rooms in online and blended learning scenarios. Unlike face-to-face teaching and learning, breakout rooms pose many challenges to tutors and students which range between overseeing their own learning, focusing on following the instructions, communicating with a group of random participants, and completing the given tasks collaboratively at a distance. The findings reveal that breakout rooms learning processes have many benefits such as learning collaboratively, receiving peer feedback, and enhancing communicative skills. Additionally, identified barriers to breakout room use have been found including students' interest and motivation to work collaboratively online and the discrepancies of their language and technological proficiencies.
Role of AR and VR in the Context of Technical Education
Authors: Dhabliya Dharmesh , Gupta Ankur , Dhablia Anishkumar , Dari Sukhvinder Singh , Dhabliya Ritika , Kumar Jambi Ratna Raja , Pramanik Sabyasachi
Published: December 2023

In recent years, the primary research subjects for improving the lives of future generation youngsters have been excellence and creativity in the existing pedagogical system. Virtual reality plays an important part in introducing new educational ideas. To enhance the quality of teaching in aspects of relevant and interactive learning, the recent trend in educational technology is mostly centered on e - learning and mobile-based learning approaches. Virtual reality is now widely utilized in a variety of fields, including education, healthcare, training, and entertainment. This study paper examines the influence of virtual reality on the pedagogical sector, as well as its current and future.
A Bibliometric Review of Studies on the Application of Augmented Reality to Cultural Heritage by Using Biblioshiny and CiteSpace
Authors: Du Shaoxu , Sanmugam Mageswaran
Published: December 2023

Augmented reality (AR) technology is an effective way to transmit and protect tangible and intangible cultural heritage. It is crucial to research the connections between these two aspects and associated problems to support the preservation and sustainable development of cultural assets. This chapter aims to examine the evolution of the application of augmented reality to cultural heritage. It intends to comprehend these tendencies worldwide and offer suggestions for their expansion and development. The objectives were accomplished using a quantitative approach incorporating bibliometric analysis using Biblioshiny and CiteSpace. The findings of this research include an overview of the institutions, nations/regions, journals, and authors who have produced the most in the area. The significance of the study can be observed in its contribution to a deeper comprehension of the global development of cultural heritage.
Enhancing Life Still Sketch Skills Through Virtual Reality Technology
Authors: Wen Quan , Zalay Abdul Aziz , Huang Bin , Md Hashim Azhari , Wong Wei Lun
Published: December 2023

This study addresses a significant gap in research concerning the utilization of virtual reality (VR) technology within higher education in China. Focusing on Mianyang Teachers' College in Sichuan, the research explores the potential integration of VR into the practice of life still sketching. Using a qualitative case study approach, ten experts, comprising five in life still sketching and five in VR technology, were interviewed. Thematic analysis of the data revealed that life still sketching is viewed as a highly subjective mode of artistic expression, emphasizing adherence to fundamental aesthetic principles. The study underscores the importance of factors such as the art's current status, exploratory nature, instructional objectives, and technical aspects for effective life still sketching. VR technology, with devices like PICO and QUEST2, emerges as a promising tool to enhance this artistic practice, offering innovative solutions to its challenges. This research contributes valuable insights to the intersection of VR and art education in the Chinese higher education context.
The Development of an Educational Mobile Application for Malaysian Sign Language
Authors: Zaini Khairulnisak Mohamad , Zaharudin Rozniza , Ahmad Aznan Che
Published: December 2023

In an increasingly connected world, the development of technology has been instrumental in breaking down barriers and fostering communication between diverse groups. One such group that has benefited from technological advancement is the Deaf and hard-of-hearing (D/HH) community, which communicates using sign language. Sign language, a rich and expressive form of communication, communicates visually using the hands, arms, face, and upper body to produce signs. However, there is a lack of teaching and learning resources to assist the deaf community and those interested in learning sign language with the learning process. Therefore, this chapter investigates the development of a mobile application for sign language focusing on Malaysian Sign Language (MSL). The user-friendly interfaces for this application make learning and using sign language more intuitive and accessible to individuals with hearing impairments and those without. This application also provides users with a platform to learn, practice, and improve their sign language knowledge.
Examining the Validity and Reliability of the Arabic Vocabulary Achievement Instrument to Evaluate a Digital Storytelling-Based Application
Authors: Alkasirah Nurul Azni Mhd , Mohamad Mariam , Sanmugam Mageswaran , Ramdas Girija , Zaini Khairulnisak Mohamad
Published: December 2023

Vocabulary has been recognized as crucial for students who learn Arabic as a foreign language. Students need more Arabic vocabulary to acquire Arabic language skills. This present study was concerned with developing and assessing the content validity of an Arabic vocabulary achievement instrument for digital storytelling-based application. The instrument developed consisted of 40 items. 12 experts in the Arabic field determined the content validity scale of the instrument. This instrument was then administered to 40 Malaysian secondary school students. The result showed high content validity and reliability with all items displaying a positive value. The analysis used Cronbach's alpha to test the internal consistency reliability, and the alpha value showed .810 indicated very reliability. Therefore, present findings suggest that the instrument's content validity and composite reliability are appropriate for evaluating students' enhancement toward learning Arabic vocabulary.
CEO Leadership and Its Contribution to Diversity Management
Authors: Rafiq Muhammad , Dastane Omkar , Xiuqing Duan
Published: December 2023

This chapter delves into CEOs' significant role in driving diversity management within contemporary businesses. It traces the CEO's evolution from a distant supporter to an active advocate of diversity and examines the deep-rooted influence of a CEO's beliefs on organizational ethos. Through a detailed exploration of CEO-led actions and strategies for bolstering diversity, the chapter highlights the importance of embracing emerging facets, including neurodiversity. It concludes with an emphasis on the need for CEO adaptability and commitment in the ever-evolving landscape of workplace diversity.