Learning Resource Management Research Articles

Design, Implementation, and Evaluation of Online English Learning Platforms

With the rapid development of internet technology, various online learning platforms have emerged. The combination of the internet and education is an inevitable trend, and smart online learning platforms based on neural network become popular. This paper introduces how to design online English learning platforms through a neural network. It proposes the construction of a universally designed online English learning platform and the design of an online English learning platform server development architecture. Then, the implementation of online English learning platforms is discussed. Evaluation of the platforms is also very important, which is conducted through two questionnaire surveys. The first survey is general and the second one is more specific. Results of both surveys show that the learners’ demand for online English learning platforms is still growing, especially among the young learners. In addition, this paper reports the results of the feasibility analysis and performance test of online English learning platforms: (1) The well‐designed online English learning platform has relatively complete functions and meets the needs of both students and teachers. It includes a series of functional modules such as students’ registration, analysis of students’ profile, courseware and learning resources management, test management, test score analysis, interactive discussion, online monitor and feedback. (2) There are no major defects in the implementation of the online English learning platform in this experiment. (3) The reliability and security of the online English learning platform are relatively high.

Research on the Current Situation and Teaching Strategies of “Digital Learning and Innovation” Literacy of Senior High School Students

With the development of the digital age, “digital learning and innovation” is becoming more and more important in the core literacy of information technology discipline. Through the elaboration of relevant concepts, this paper explores the connotation and concrete performance of “digital learning and innovation” literacy of senior high school students, and then obtains its three manifestations: the collection and management of digital learning resources, the adaptation of digital environment, the application and innovation of digital learning resources. On this basis, a questionnaire survey was designed to understand the status of “digital learning and innovation” literacy of high school students in S Middle School of Anhui Province, and the data results were analysed. It was found that senior high school students generally have this literacy, but some students still have some problems and need teachers’ timely guidance. Therefore, this study further proposes strategies for achieving high school students’ “digital learning and innovation” literacy to assist teachers in reminding students of “digital learning and innovation literacy” in teaching.

Online Learning Resource Management in CPNS Basic Training

The health and safety of CPNS training participants, Widyaiswara, families, and communities is a top priority in setting learning policies. Latsar CPNS is one of the training that feel the impact of the pandemic. In this COVID-19 emergency, procedurally, by Plan No. 12 of 2018 and Circular No. 10/K.1/Hkm.02.3/2020 concerning Technical Guidelines for the Implementation of Training During the Coronavirus Disease (Covid-19) Pandemic, participants Latsar CPNS and related parties began to change the learning strategy which was originally face-to-face to online learning. The entire implementation of the CPNS latsar in Indonesia was impacted by the pandemic by holding online learning methods. This study describes the implementation of online learning during the pandemic. This research is a literature review research with the dynamic search method of learning resources conducted online. Data collection includes documents, articles, or news related to learning resources used during COVID-19 online learning. Furthermore, the collected data is analyzed for description. Online learning resources used during the CPNS Latsar training are using WhatsApp (WA), Google Forms, Google Classroom, Google Drive, Youtube, WA groups, and even face-to-face with the Zoom Meeting application. The purpose of this research is to get input and improvements for better online learning resources.

A Research on Workplace Learning and Human Resource Management Performance in Retail Industry

A Research on Workplace Learning and Human Resource Management Performance in Retail Industry

Ethical work environment and career decisions: Is this relationship moderated by a position of power?

ABSTRACT Turnover is an important career decision that influences both individual employees and their organizations. While human resource management scholars have long sought to understand critical components of a workplace where employees want to stay, ethics has become a primary factor of interest in public sector turnover intention studies only in recent years. This article contributes to this growing line of research by investigating if and how ethical work environment influences public employees’ turnover intentions, and how this relationship is moderated by an employee’s position of power measured by supervisory status. The findings suggest that ethical work environment is a critical determinant of public employees’ turnover intentions and that supervisory status can moderate this relationship.

The Influence Of Organizational Learning On Performance: A Comprehensive Approach

The purpose of the research project is to develop a model of the linkages between human resource management, organizational learning and organizational performance to test the assumptions and to analyze the correlations in order to substantiate or falsify the original model and to draw respective conclusions for relevant stakeholders in business enterprises as well as to give suggestions for further research in the field.
 Main theoretical approaches to the impact of organizational learning and human resource management on organizational performance, main approaches to the measurement of organizational performance, the derivation of the definitions of the central theoretical concepts, namely organizational learning, human resource management, organizational performance, and business enterprise, tailor-made for the use in the current study, and open questions in existing literature as starting point for the research are shown.
 The research hypotheses that organizational learning positively influences organizational performance et vice versa, that human resource management positively influences organizational learning, and that human resource management positively influences organizational performance directly are developed and the research model is conceptualized, operationalized, and visualized via the resulting theoretical scheme. Also, the development of the research methodology, design, and the selection of research methods is being undertaken, and the data gathering process via pre-study and electronic survey about the interdependencies between the theoretical constructs involved in the research hypotheses are described. The data analysis on the electronic survey about the items influencing the interdependencies between theoretical constructs of human resource management, organizational learning, and organizational performance takes place starting with a factor analysis and based on it the research scheme is being adapted into an evidence-based research model which is analyzed via different descriptive statistical methods, i.e. hierarchical and multiple regression analysis, and Structural Equation Modeling.
 Main conclusions include that: organizational performance cannot be seen as a holistic concept incorporating the end results of all the organization’s work processes and activities directed at lasting competitive advantage, but has to be divided into two separated concepts. The second part of the main hypothesis that organizational learning positively influences organizational performance in terms of non-financial variables regarding general competitiveness and human resource performance also can be substantiated.
 Human resource managers can use the findings as reference for future strategic orientation of organizations as well as derive specific implementation measures from it.

Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach

In this article, to meet a delay requirement for data analytics from Internet-of-Things (IoT) devices, we design a novel market model of the distributed learning resource management mechanism for multiple mobile-edge computing (MEC) operators. We consider a hybrid architecture (cloud-MEC) for the distributed learning, which is also known as “federated learning” as one of the practical examples, where a coordinator at the cloud coordinates IoT sensors to efficiently distribute their sensing data over multiple MECs. In this sense, multiple MECs receive a shared model from the coordinator and conduct local training of received partial sensing data from IoT sensors. Then, the coordinator at the cloud merges returned local training results from MECs and generates a global model. To model a hierarchical decision-making structure as a market behavior, we formulate and solve a Stackelberg game model. Specifically, in the case of MEC operators as leaders, we design a pricing scheme for MEC operators to obtain its maximum utility by considering a tradeoff between the revenue and energy consumption. Then, as a follower, while the coordinator aims at achieving a balance between the satisfaction attained from the distributed learning and the costs, it follows the MEC operators’ decisions by coordinating IoT sensors to distribute their sensing data over MECs. A unique Stackelberg equilibrium (SE) point is given as a closed form. Finally, we reveal that the SE solution maximizes the utility of all market participants. This game-theoretic study demonstrates that there is an incentive for utilizing multiple MECs to achieve better satisfaction of IoT services in distributed learning.

Work engagement of employees who are parents of children with disabilities: empirical evidence from Singapore and the United Kingdom

Work engagement has attracted increased interest among human resource management scholars and practitioners. Within a family-work context, a population whose levels of work engagement has sparsely been previously studied has been that of employees who have children with special needs/disabilities (SND). These employees frequently face demanding responsibilities at home, a fact that may have implications in the workplace. Drawing on perceived family–work strain and organizational support literatures, we examine whether the disability severity of employees’ children and the support provided by the supervisor may affect employees’ levels of work engagement. Deriving data from two societies, those of Singapore and the United Kingdom (UK), the findings of this research may inform human resource management literature concerning the work engagement of employees who are parents of children with SND. Our two-society data collection rendered 430 usable questionnaires. Employees with children with SND in Singapore (n = 224) reported higher work engagement levels than employees in the UK (n = 206). Also, the research results confirmed that the relationship between child’s disability severity and employee work engagement is moderated by the support provided by the supervisor. Setting the grounds for an international discussion about human resource management and family-support practices directed toward employees with children with SND, implications and recommendations for future research are offered.

Win-Win? A Study on the Effects of High Performance Work Systems on Well-Being and Performance

In the field of strategic human resource management scholars have recently called for attention at the relationship of high performance work systems (HPWS) with outcomes that pertain to employees’ well- being rather than simply to performance. However, there is limited evidence on whether the organization can take into account the dual benefits of employer (performance) and employee (well-being). This possibility was investigated with data from the matching questionnaire survey of 74 supervisors and 301 employees of Chinese localization enterprises. Data were collected at different time points. The results showed that HPWS were positively related to both employee well-being and to team performance. Work-family facilitation rather than work-family conflict mediated the relationship between HPWS and employee well-being. Authoritarian leadership moderated the relationship of HPWS with work-family facilitation rather than team performance. Finally, the moderating role of authoritarian leadership was mediated by work-family facilitation. The implications of the findings for theory and practice are discussed.

The Sustainable Development Goals, Organizational Learning and Efficient Resource Management in Construction

The Sustainable Development Goals, Organizational Learning and Efficient Resource Management in Construction

Ethnographic studies in international human resource management: Types and usefulness

This article provides a first conceptual discussion of the usefulness of ethnography for International Human Resource Management. In line with its original anthropological meaning, ethnography is understood as a multi-paradigmatic mindset involving five interrelated strands, all of which have the potential to contribute to International Human Resource Management studies. Structural-functionalist ethnography enables deep comparison and can thus contribute, for instance, to meeting the structural and institutional integration challenges of International Human Resource Management. Interpretive ethnography sheds light onto the hidden realities of International Human Resource Management and can thus help, for example, to acknowledge the diversity of employee and stakeholder experiences. Critical, postmodern, and postcolonial ethnography reveal the power-inequalities associated with diverse frameworks, practices, and work experiences in a global context. They can thus help overcome the inherent power-inequalities of International Human Resource Management and might utilize previously marginalized knowledge for the development of alternative International Human Resource Management strategies and practices. Yet, leveraging the full potential of ethnography for International Human Resource Management studies requires International Human Resource Management scholars not to borrow pre-selected ethnographic approaches, such as interpretive ethnography, from related disciplines, such as International Business and Cross-Cultural Management, because these might not fit the specific needs of International Human Resource Management. For facilitating this goal, this article provides a first multi-paradigmatic discussion of the development and principles of ethnography in anthropology, and its present and potential contributions to International Human Resource Management studies. It is not a guide of how to do ethnography, but a roadmap enabling future International Human Resource Management researchers to choose their ethnographic research strategy consciously, reflexively, and as their research interest demands for.

An empirical analysis of research paradigms within international human resource management: The need for more diversity

The goal of this article is to provide a fine-grained analysis of international human resource management research that addresses the different perspectives applied in that research. We coded 203 peer-reviewed international human resource management articles published between 2011 and 2018 with content analytical methods guided by the compass of management research developed by Sieben, which is rooted in critical management research. We were particularly attentive to the various discursive orientations international human resource management scholars have adopted, including ideologically critical, poststructuralist, functionalist and interpretive perspectives. We further examined which methods, theoretical perspectives and topics were common within and across different perspectives. This analysis indicated that critical research intending to politicize and question existing structures and ways of organizing is still marginal. Along with the dominance of functionalist and interpretive studies, papers in our dataset commonly use a strategic human resource perspective, are predominantly interested in the human resource management–performance link and focus rather narrowly on multinational corporations and expatriates. Furthermore, while international human resource management scholars increasingly account for the contextual embeddedness of organizations through macro-level theories, they mainly apply institutional perspectives that view organizations as adapting to institutional constraints. We propose a more diverse and reflexive approach – inspired by ideologically critical and poststructuralist perspectives – that may help to overcome these blind spots. Such an approach might, for instance, look at types of organizations other than multinational corporations and individuals other than highly skilled expatriates and might explicitly bring multiple, external stakeholders into the picture. We conclude by suggesting that international human resource management research and practice would benefit from more research diversity which enables more holistic analyses of phenomena, more innovative research and resultant insights, and more space for meta-theoretical reflections.

Expanding the resource based view model of strategic human resource management

Strategic human resource management scholars have drawn on the resource-based view of the firm to argue that a high commitment human resource (HCHR) strategy leads to firm competitive advantage by creating greater firm-level employee-based resources that are rare and valuable. While there is early empirical support for this mediated model, prior studies have largely ignored two key aspects of the RBV perspective. First, extant research has not effectively explained why differences in employee-based resources persist across firms that have adopted the same firm-level HR strategy. Second, this body of research has largely ignored contemporary thinking on the RBV which suggests that employee-based resources only lead to competitive advantage when they are a fit to other organization capabilities that enable the firm to effectively orchestrate them for productive use. I draw on the literature on dynamic managerial capabilities to argue that CEO managerial cognition, social capital, and human capital help to explain when pursuing an HCHR strategy potentially leads to greater firm-level employee-based resources and when firms are able to effectively manage and deploy these employee-based resources for competitive advantage.

PENGELOLAAN PEMBELAJARAN BERBASIS PENDEKATAN BEYOND CENTERS AND CIRCLE TIME (BCCT) PADA ANAK PLAYGROUP DI SEKOLAH ALAM BOSOWA

This research aims to know learning management in the early childhood Bosowa Alam school with the BCCT approach. The previous main problem to be listed into a number of subproblems, namely 1) What kind of learning resources used in early childhood in the Bosowa Alam school? 2) How to manage learning toward early childhood education at Bosowa Nature School by applying BCCT and DAP? This research classified as qualitative with employing pedagogical and psychological approach. The data was taken from head master, class Guardian, Teachers and students. The data collection methods used observation, interviews, documentation, and some referencea. Techniques of data analysis carried out in three stages, namely data reduction, data presentation and conclusion collection. The results of this study indicate the fact that several things must be highly considered by educators before formulating a learning plan that will be used in early childhood of bosowa natural school. The implementation of learning supported by learning resources used in each center to be developed with 5 child domains (affection, language, cognition, social and psychomotor) and 7 multiple intelligences (logical-mathematical intelligence, Sapatial intelligence, musical intelligence, kinesthetic intelligence, Interpersonal and Intrapersonal intelligence). The management of Bosowa Alam school learning resources carried out in 5 stages: students identification, planning learning resources, preparing learning resources, using learning resources as well and evaluation methods.

PROJECT CLMM (Contextualized Learner Material in Mathematics) an Input on Pupils Academic Performance

Mathematics subjects are always regarded as one of the most difficult courses to teach and learn. The proponent, in collaboration with the Learning Resource Management Division, comes up with an idea of contextualizing the learning resource material in Mathematics. This descriptive-quantitative study focused on the implementation of Project CLMM and its input on pupils’ academic performance of Grade 6 pupils in Puting Lupa ES, Hornalan ES, Majada Out ES, Paciano ES, JRMS, and Calamba ES. Data collected were the results of the pretest and posttest and first grading grade in mathematics and the feedback of CLMM.The result showed that there was a significant difference existed between the pretest and posttest of the pupils’ respondents by 34.62%. Increased on the number of high performing pupils while decreased in the number of low performing pupils were evident. Some of the items on the CLMM need to modify like engage yourself. The results implied that CLMM was properly implemented and help improve the academic performance of pupils in mathematics.

Machine Learning and Prediction-Based Resource Management in IoT Considering Qos

Internet of Things (IoT) is one of the fast-growing technology paradigms used in every sectors, where in the Quality of Service (QoS) is a critical component in such systems and usage perspective with respect to ProSumers (producer and consumers). Most of the recent research works on QoS in IoT have used Machine Learning (ML) techniques as one of the computing methods for improved performance and solutions. The adoption of Machine Learning and its methodologies have become a common trend and need in every technologies and domain areas, such as open source frameworks, task specific algorithms and using AI and ML techniques. In this work we propose an ML based prediction model for resource optimization in the IoT environment for QoS provisioning. The proposed methodology is implemented by using a multi-layer neural network (MNN) for Long Short Term Memory (LSTM) learning in layered IoT environment. Here the model considers the resources like bandwidth and energy as QoS parameters and provides the required QoS by efficient utilization of the resources in the IoT environment. The performance of the proposed model is evaluated in a real field implementation by considering a civil construction project, where in the real data is collected by using video sensors and mobile devices as edge nodes. Performance of the prediction model is observed that there is an improved bandwidth and energy utilization in turn providing the required QoS in the IoT environment.

Advancing knowledge on human resource management in family firms: An introduction and integrative framework

Over the last decades, human resource management has received increasing attention in family business scholarship. However, works on human resource management in the context of family firms remain relatively low as compared to the more general body of studies on human resource management. This article introduces our special issue of the German Journal of Human Resource Management, which discusses facets of how family firms configure human resource management and set human resource practices. We first give a brief overview on the conceptual and empirical research that relates to and informs human resource management within family firms, resulting in a human resource system framework. We then discuss ideas for future human resource management research, namely, the influence of the owning family on human resource orientation, non-family employees as human resource recipients and the role of human resource professionals in delivering human resource management. Furthermore, we call for making psychological foundations part of the human resource management scholarship agenda. There is still work to be done before human resource management can find its ‘place in the sun’ in the family business community. Hence, this special issue contributes to developing family business human resource management scholarship further by offering the human resource system framework, by suggesting directions for future research and by advancing our conceptual and empirical understanding of human resource management in the context of family firms.

Management of Learning Resources Materials, Technology Utilization, and Teachers’ Competence in Selected Public Schools

The government is drawing up blueprints for the provision of quality education through its adoption of the K-12 curriculum. This transformation of the education system creates entirely new demand for producing the kind of talent its economy needs to sustain growth and development. Master teachers and school heads must be able to utilize technology inside the classroom and be competitive enough and able to manage the resource materials under Learning Resource Management Development System. This study aimed to assess the status of learning resource materials utilization, level of management of learning resources, technology utilization, and teachers' competence. The study utilized a descriptive, inferential quantitative method and a survey questionnaire. The data gathered were interpreted using the weighted mean and Z- test. The salient findings of the study showed that both the master teacher and the school head, Strongly Agree on the status of resource materials utilization. Results revealed that the hypothesis on the significant difference in the status of learning resource materials utilization was accepted; hence, it was not significant. The hypothesis about the test of difference on the level of management of resource materials was rejected; therefore, it was significant. To establish the difference in the assessment on the level of technology utilization, the hypothesis was rejected; therefore, it was significant. On the level of the master teacher's competence based on their Performance Commitment and Review Form, it purported that respondents assessed it as Excellent. The test of difference on master teachers' competence based on IPCRF revealed that it was significant; thus hypothesis was rejected. The findings were the basis for a proposed plan for Teachers' Capacity Training Program on Technology Utilization. It was of great help in designing a technology utilization plan that could increase teachers' competence in the full realization of the Department of Education goals and objectives.

Using an e-book platform as a learning resource and information management tool: the case study of the “K” e-book platform at an English business school

This paper aims to present an insight into the introduction of an e-textbook’s learning platform for online students residing in Asia by an English Business School. This platform also generated a range of data analytics that provided teachers with an understanding of how their students interact with learning materials.,This paper interrogated the data generated through students’ interaction with the e-books learning platform, as well as students’ feedback via a questionnaire. The data generated are presented in a series of diagrams.,This paper makes links between self-regulated theory and how e-textbooks are used by students. The findings also offer tentative support for the use of e-books platforms as both a learning resource and a mechanism to obtain learning analytics.,This paper contributes to the wider discourse of the use of learning analytics and how information technology may align with self-regulated learning.,This paper represents a contribution to the developing field of research related to learning analytics and how students manage their use of information technology.

Human-in-the-Loop Wireless Communications: Machine Learning and Brain-Aware Resource Management

Human-centric applications such as virtual reality and immersive gaming are central to future wireless networks. Common features of such services include: 1) their dependence on the human user’s behavior and state and 2) their need for more network resources compared to conventional applications. To successfully deploy such applications over wireless networks, the network must be made cognizant of not only the quality-of-service (QoS) needs of the applications, but also of the perceptions of the human users on this QoS. In this paper, by explicitly modeling the limitations of the human brain, a concrete measure for the delay perception of human users is introduced. Then, a learning method, called probability distribution identification, is developed to find a probabilistic model for this delay perception based on the brain features of a human user. Given the learned model for the delay perception of the human brain, a brain-aware resource management algorithm based on Lyapunov optimization is proposed for allocating radio resources to human users while minimizing the transmit power and taking into account the reliability of both machine type devices and human users. Then, a closed-form relationship between the reliability measure and wireless physical layer metrics of the network is derived. Simulation results show that a brain-aware approach can yield savings of up to 78% in power compared to the system that only considers QoS metrics. The results also show that, compared with QoS-aware, brain-unaware systems, the brain-aware approach can save substantially more power in low-latency systems.