Management System Platform Research Articles

RiPPLE: A Crowdsourced Adaptive Platform for Recommendation of Learning Activities

This paper presents a platform called RiPPLE (Recommendation in Personalised Peer-Learning Environments) that recommends personalized learning activities to students based on their knowledge state from a pool of crowdsourced learning activities that are generated by educators and the students themselves. RiPPLE integrates insights from crowdsourcing, learning sciences, and adaptive learning, aiming to narrow the gap between these large bodies of research while providing a practical platform-based implementation that instructors can easily use in their courses. This paper provides a design overview of RiPPLE, which can be employed as a standalone tool or embedded into any learning management system (LMS) or online platform that supports the Learning Tools Interoperability (LTI) standard. The platform has been evaluated based on a pilot in an introductory course with 453 students at The University of Queensland. Initial results suggest that the use of the RiPPLE platform led to measurable learning gains and that students perceived the platform as beneficially supporting their learning.

Exploring the Needs of Parties in Church Management in Building Knowledge Management System of Financial Reporting

This study explores the possible adoption of the Knowledge Management System (KMS) in church management which is an agent in the agency relationship between the management and congregation and donors. Since the agents mostly do not realize that they need to know that they are responsible for the presentation of Financial Reports, thus they do not realize that they need a Knowledge Management System for the Accounting and Financial Reporting; the need must be investigated. Moreover, in the case study church, the accounting process is very much not applied as the result of a lack of knowledge. This fact tells that churches need knowledge of the accounting process. All of those types of knowledge need to be managed in a system. The methodology used in this investigation was The Soft System Methodology (SSM). SSM emphasizes on understanding the problem situations faced by church management and expresses the situations in rich pictures. Data were gathered from interviews, focus group discussions and observations. A protestant church in Jakarta is the case study setting, focusing on pastors who give sermons, presbyters, administrators together with employees who manage all churches’ activities. The findings highlight problems faced by the various stakeholders and propose solutions in the form of a conceptual model for a Knowledge Management System platform to improve learning as well as utilizing digitized knowledge of Accounting and Financial Reporting.

Exploring Student Activity with Learning Analytics in the Digital Environments of the Nebrija University

The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching modalities (eLearning methodology), this monitoring is carried out through the digital platforms in which it is carried out in the academic activity, such as the learning management system platforms. These virtual teaching and learning environments (EVA) allow access to learners’ fingerprints, generating a large volume of data, that analysis allows a deep way of their behavior in those policies. This article collects the results of the exploration of student activity in the virtual campus (Blackboard Learn), which is in the first phase of Learning Analytics project carried out by the Nebrija University and discusses its implications for educational institutions. The data extracted correspond to the 2016–2017 course and have been analyzed around four blocks of information: user behavior, user activity, activity in the content areas and activity in the forums.

DIGITAL MODELS OF STONE SAMPLES FOR DIDACTICAL PURPOSES

Abstract. This paper presents a virtual methodology based on the generation of virtual models of stones in the context of the virtual laboratories for the acquisition and evaluation of competences in stones identification. The generation of the models is carried out using a procedure based on close-range photogrammetry that allows to obtain a scaled mesh models with radiometric information and low file weight. The proposed methodology has been designed ad-hoc following the economy, quality and reality criteria to ensure a good adequacy, guaranteeing an adequate adaptation to the teaching-learning process and the integration of the models into working packages, which can be easily integrated in earning management system (LMS) platforms. The generated 3D models have a high level of detail and enable the interaction to take measurements, make cross sections and use specific tools that allow the student to perform a thorough analysis and identification of the stone using free/open source software.

Experiences of adult learners on using the Sakai Learning Management System for learning in Ghana

The advancement in information and communication technology and its application in teaching and learning tools have taken learning to a higher level. Innovations in information and communication technology and its deployment in teaching and learning aid adult learning through the distance education mode. Accra Learning Centre hosts the biggest student population pursuing degree programmes through the distance education mode in Ghana. Simple descriptive statistics were adopted to help build a case for using the qualitative data. A descriptive narrative design was employed for conducting the study which tilts towards the qualitative case study approach to investigate the meanings and experiences adult learners have had when using the Sakai Learning Management System platform. In-depth interviews and focus group discussions were used to collect data from 50 adult learners who participated in the study. Most (80%) of the learners indicated that they faced difficulties, including accessing computers, course materials online, weak link, poor network interface and connectivity, as well as power fluctuations when they started learning with the Sakai Learning Management System, which changed with time. The information and communication technology platform created greater access to self-learning. The study concludes that the information and communication technology laboratories should be refurbished – and equipped with new computer accessories – for an increased access to the Sakai Learning Management System.

ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ АНАЛИЗА КЛИЕНТСКОЙ БАЗЫ СТРАХОВОЙ КОМПАНИИ НА ОСНОВЕ ПОКАЗАТЕЛЯ ДОЛГОСРОЧНОЙ СТОИМОСТИ КЛИЕНТА

The article focuses on the importance of the reliable customer database and financial stability of the insurance company, which form the basis for sustainable development in conditions of market economy. To ensure stable market positions it is necessary to monitor and analyze the customer database regularly. There are several methods of studying the customer database of the company. The indicator of assessment of the long-term buyer value based on open information in insurance company has been considered. For calculating this indicator there is applied an integrated approach using a customer relationship management system and analytical platform: the data storage is designed, scenarios of loading and processing information in storage are developed. The formula of calculating the indicator of lifelong profitability of a buyer is offered, the received results are analyzed. The considered indicator will allow the company’s authority to obtain more complete information about the activity of the company, to define development perspectives for the future, to make management decisions on reducing the outflow of clients and increasing their profitability.

Motion posture control for power cable maintenance robot in typical operation conditions

Purpose In the extreme power environment of flexible transmission line, wind load, high voltage and strong electromagnetic interference, the motion performance of the robot manipulator is strongly affected by the extreme environment. Therefore, this study aims to improve the manipulator motion control performance of power cable maintenance robot and effectively reduce the influence of specific operation environment on the robot manipulator motion posture. Design/methodology/approach The mathematical model under three typical operation conditions, namely, flexible line, wind load and strong electromagnetic field have been established, correspondingly the mapping relationship between different environment parameters and robot operation conditions are also given. Based on the nonlinear approximation feature of neural network, a back propagation (BP) neural network is adopted to solve the posture control problems. The power cable line sag, robot tile angle caused by wind load and spatial field strength are the input signals of the BP network in the robot motion posture control method. Findings Through the training and learning of the BP network, the output control variables are used to compensate the actual robot operation posture. The simulation experiment verifies the effectiveness of the proposed algorithm, and compared with the conventional proportional integral differential (PID) control, the method has high real-time performance and sound stability. Finally, field operation experiments further validate the engineering feasibility of the control method, and at the same time, the proposed control method has the remarkable characteristics of sound universality, adaptability and easy expansion. Originality/value A multi-layer control architecture which is suitable for smart grid platform maintenance is proposed and a robot system platform for network operation and maintenance management is constructed. The human–machine–environment coordination and integration mode and intelligent power system management platform can be realized which greatly improves the intelligence of power system management. Mathematical models of the robot under three typical operation conditions of flexible wire wind load and strong electromagnetic field are established and the mapping relationship between different environmental parameters and the robot operation conditions is given. Through the non-linear approximation characteristics of BP network, the control variables of the robot joints can be obtained and the influence of extreme environment on the robot posture can be compensated. The simulation results of MATLAB show that the control algorithm can effectively restrain the influence of uncertain factors such as flexible environment, wind load and strong electromagnetic field on the robot posture. It satisfied the design requirements of fast response, high tracking accuracy and good stability of the control system. Field operation tests further verify the engineering practicability of the algorithm.

Vertical flight profile optimization for a cruise segment with RTA constraints

ABSTRACTThis paper presents the results of a research performed at the Research Laboratory in Active Controls, Avionics and Aeroservoelasticty (LARCASE), at ÉTS, concerning optimisation strategies for cruise flight segments with imposed flight time (delimited by waypoints with required time of arrival constraints). Specifically, a new algorithm is presented that identifies the optimal vertical navigation profile (flight altitude and speed optimisation) for a cruise segment with imposed lateral navigation profile, bounded by two waypoints with required time of arrival constraints. The set of evaluated vertical navigation profiles are characterised by identical altitudes and speeds at their initial and final waypoints (at the beginning and the end of the cruise segment under optimisation), a maximum of one altitude step (relative to the initial altitude), and are flown at constant speed. This study investigates the flight performance increase (total cost reduction) for a flight along the optimal vertical navigation profile, relative to a flight at the optimal speed and initial cruise altitude. The evaluation was performed using a medium haul transport aircraft flight performance model, for three lateral navigation profiles and three wind profiles. The algorithm is targeted for Flight Management Systems platforms, to provide the optimal flight trajectory for the imposed lateral flight profile and time constraints.

Open Online Assessment Management System Platform and Instrument to Enhance the Information, Media, and ICT Literacy Skills of 21st Century Learners

Information literacy (IL), media literacy (ML), and information communication and technology literacy (ICT Literacy: ICTL) are some of the most important skills for 21st century learning and which help promote other skills, including life and career skills and learning and innovation skills. This kind of learning allows students to connect as a learning network without barriers or borders. It fully supports the use of equipment and technology to develop the skills necessary for life. The purpose of this research study is two-fold: first, to develop a research-based Open Online Assessment Management System (OOAMS), and second to develop the standardized measurement for an assessment of IL, ML, and ICTL for higher education learners. The sample group consists of 2,300 higher educa-tion learners and the methodology was divided into 3 phases: (1) developing the conceptual framework, definition, and features of IL, ML, and ICTL for higher education learners; (2) examining requirements, designing wireframes, and de-veloping an OOAMS for higher education students; and (3) testing the quality of OOAMS for IL, ML, and ICTL using exploratory factor analysis (EFA) and confirmation factor analysis (CFA) statistical methods. The research result found that, first, the specific features of the system included development using PHP and MySQL database and the design to interact with users with a responsive UI framework. The system is compatible with MOOCs and the Open edX platform, or can be used as a stand-alone application. It can create, share, copy, and extend both Likert scales and rubrics evaluation forms. It can also generate reports in both CSV and PDF formats. Secondly, the results of this research provided a standardized measurement for assessing IL (49 items), ML (63 items), and ICTL (69 items). Also, it can be improved or enhanced for online learning in a ubiqui-tous learning context such as e-learning, blended learning, virtual learning and MOOCs effectively.

An Efficient LMS Platform and Its Test Bed

In order to develop an e-learning system as a method of education that frees both the teacher and learner from the constraints of time and space, it is necessary to develop software and to build the network equipment required to operate the software. The most basic system consists of a web server, a database server, and a video server. However, these elements are vulnerable to both internal and external threats. As for the web, database, and video servers, it is possible to respond to such threats by operating more than two devices, but this inevitably increases the cost of building the equipment. Therefore, this study proposed the use of a cloud service, such as AWS (Amazon Web Service), in order to save on the costs of purchasing, installing, and operating the servers, as well as a service designed to strengthen security by employees or trainees who understand the internal situation of the training institute. In other words, this study proposed the development of an efficient Learning Management System (LMS) platform and proved its efficiency using a test bed over a period of three years. The major contribution of this study is that the design of the proposed LMS has been improved to provide a more efficient performance than the existing LMSs by surmounting the traffic overload problem often found in video services. This is achieved by utilizing a lesser number of servers and maintaining the balance of the loads. Also, the interface used for the system can be adaptable to most of the web servers as they support Java, Android, and HTML-based systems. As a cloud-based LMS, this system has been tested for its efficiency and effectiveness for a period of three years during which the results have been satisfactory.

The research on digital and intelligent management system for large castings based on Internet+

In this paper the status and demands of casting production for large wind power and nuclear power companies was taken as the background. This paper aimed at problems in large casting companies such as various products but in small batch, low data utilisation rate, complex management structure, slow data collection and transmission speed, inconsistent exchange of current software information and so on, to target the integration of equipment, process, software, production, project management, supply chain and customer management. The model using the top-down and taking current software/system into consideration was adopted, and the usage requirement of casting enterprise is analysed in this paper. A casting system management platform based on Internet+ was obtained, of which the frame for sub function, system and module to realise it was divided. Research on data storage model and interaction pattern was conducted to provide reference for the development and implementation of information and intelligent platform for casting enterprises.

A Reference Architecture for Context-Aware Intelligent Traffic Management Platforms

Smart cities have been heralded for improving traffic management by utilizing data for making better traffic management decisions. Multi-sided platforms collect data from sensors and citizen-generated data on one side and can provide input for decision-making using data analytics by governments and the public on the other side. However, there is no guidance for creating developing Intelligent Traffic Management Systems (ITMS) platforms. The involvement of various actors having different interest and heterogeneous datasets hampers development. In this article, the authors design a reference architecture (RA) to support intelligent traffic management systems for providing better a commute, and safety and security during travel based on real-time information. The main three layers of this RA are datasets, processes, and actors. The RA for ITMS provides guidance for designing and overcoming the challenges with: 1) heterogeneous datasets; 2) data gathering; 3) data processing; 4) data management; and 5) supporting various types of data users. The illustration and evaluation of the architecture shows possible solutions of the aforementioned challenges. The RA helps to integrate the activities performed by the various actors. In this way it can be used to reduce traffic queues, increase the efficient use of resources, smooth and safe commute of the citizens.

A Control Methodology for Building Energy Management Systems (BEMS) in Heat Networks with Distributed Generation

Reducing building energy consumption is important to achieve sustainable development, as a result, there is a need to investigate better energy systems with well-designed management infrastructure. At the Creative Energy Homes, a low-temperature heat network with distributed generation links seven properties. The aim of the system is to investigate the efficiency benefits of low-temperature heating, while at the same time testing the prosumer concept. For homeowners to be prosumers, they can buy and sell heat to a network. This system is the first of its kind, and as a result required bespoke Building Energy Management Systems (BEMS). This paper focuses on the hardware, software, and system operation used as part of project SCENIC (Smart Controlled Energy Networks Integrated in Communities). The project utilises a simple and cheap hardware configuration involving relays, IO boards and RaspberryPi microcomputers. An open-source Building energy Management System (oBeMS) platform is used for monitoring and control.

Pemanfaatan Media Pembelajaran E-Learning Dengan Menggunakan Media Sosial Edmodo Bagi Guru SMK Al-Madani Kota Pontianak

Edmodo is one of the learning management system (LMS) platforms that make it easy for users to create groups and share files, links, video (embed videos) and pictures with alert, assignment and event events. Edmodo provides a secure and easy way to communicate and collaborate between students and teachers, sharing textual content, link images, video and audio. Community Service Activities (PKM) aims to introduce and maximize the use of E-Learning Application based on social media Edmodo to Guru SMK Al-Madani Pontianak City. The training will be held in 2 sessions where the first session will focus on the basic introduction of Edmodo while in the second session will focus on the practice and simulation of the learning process by utilizing the features available on Edmodo. Training modules will be included in the training as a tool for participants in practical activities.

Construction and effect evaluation of training and assessment system for new nurses in the internet age

Objective To establish a standardized training and assessment system for new nurses in the internet age and investigate the application effect of the system on the standardized training of new nurses. Methods From March 2015 to March 2017, a standardized training program was formulated based on national training program for new nurses. Nursing training massive open online courses (MOOC) were constructed in the cooperation with software company. A scientific and efficient system for the management, training and assessment of new nurses was established depended on nursing management system and educational network platform. A number of 97 nurses recruited in 2014 were served as control group and trained with traditional training methods between March 2015 and March 2016. Another 96 nurses recruited in 2015 were acted as observation group and treated with standardized training based on the new system in the internet age between March 2016 and March 2017. The training and assessment effects of new nurses were compared between two groups. Results The perfect rate of personal information and participation rate of training of nurses in the observation group were 97.83% and 100.00%, which were significantly higher than those in the control group (χ2=7.158, 7.034; P<0.01) . The training time of nurses in the observation group was (21.45±2.87) h, which was shorter than the control group's (35.12±3.75) h (t=28.479, P<0.01) . The excellent and good rates for the theoretical exam of new nurses in the observation group were 17.39% and 56.52% and the excellent and good rates for operation examination and clinical practice ability examination of new nurses in observation group were 11.96% and 69.56%, which were significantly higher than those of the control group (Z=-3.736, -4.000; P<0.01) . The satisfaction rate of new nurses to the training and assessment in the observation group was 97.82%, which was higher than that of the control group (82.47%) . The difference was statistically significant (χ2=14.808, P<0.01) . Conclusions The standardized training and assessment system using MOOC for new nurses in the internet age could improve the effectiveness of standardized training and satisfaction for new nurses, which is beneficial to the improvement of the nursing training quality and management benefit. Key words: Inservice training; Internet; New nurse; Massive open online course; Assessment

Study on HOPE Management Mode of Coal Enterprises Based on Systematic Thinking

The extensive management mode of coal enterprises is no longer applicable to the demand of enterprise development under the new economic situation. Combined with the characteristics of coal mine production, based on the system of thinking, integration of lean, people, comprehensive, job management theory, formed HOPE management model, including a core system and three support systems and 18 elements. There are three stages in the development and implementation of this model. To 6S site management for the initial stage to job process reengineering for the intermediate stage to post value process control for the advanced stage. The successful implementation of HOPE model in coal enterprises needs comprehensive control from five aspects: lean culture construction, flattening organizational structure, cost control system, performance appraisal system and lean information management platform. HOPE model can be implemented smoothly and make “win-win” between enterprises and employees.

Relevance of lifecycle management to smart city development

Smart cities are complex ecosystems with interrelated systems or system of systems. Hence, management of smart cities is very important due to the big number of stakeholders, diversity of application domains, heterogeneity of data sources, and complexity of smart systems. Nevertheless, fewer studies have considered management aspect of smart cities compared to other technical aspects. Considering the different phases of smart city development, there is a need for comprehensive vision to manage smart city across lifecycle phases. This work proposes a smart city lifecycle-based approach which consists of two components. First, lifecycle-based representation of smart cities by adding the depth of 'Time' as a new dimension. Second, interaction approach between lifecycle management system and IoT platforms. For this purpose, this paper examines the empirical relevance of lifecycle management to smart city development through a limited case-based survey.

Design of an Interactive Mobile Application for Maternal, Neonatal and Infant Care Support for Tanzania

Reducing maternal and infant deaths’ rates in the developing countries, particularly in sub-Sahara Africa, remain a big challenge. Despite efforts by governments, the reductions have been unsatisfactory. To accelerate the reduction in maternal and infant deaths, m-health has been proposed as a viable, economical and effective intervention, able to reach the low income and disadvantaged groups. Mobile phone-based applications are among the m-health interventions that have been found to have positive outcomes for different healthcare challenges, such as improving clinical attendance and skilled delivery, and reducing perinatal mortality. However, the adoption of smartphone-based applications for health in Tanzania has been slow. Some of the likely contributing factors might be low technology exposure by the majority of the population and English language skills’ limitations. In this work, we developed a mobile application for providing interactive support to users, thus complementing other solutions available such as SMS and other smartphone apps. The main advantage of this app is the presence of interactive features that enable patient-provider communication. We adopted the Rapid application development (RAD) model for developing the application. We used UML modeling language tools for designing the application. The mobile application’s technical architecture uses various technologies and system development tools such as PHP programming language for the web application, MySQL database management system and Android Studio mobile application development platform.

District health information management system as a tool for enhancing integrated disease surveillance and response in Ghana, 2017

Introduction: globally, the use of electronic database is increasingly becoming important for public health surveillance. Ghana adopted the web-based District Health Information Management System (DHIMS2) platform as its nation-wide health information system software for collection, collation, analysis, and dissemination of public health surveillance data. Since 2012, Integrated Disease Surveillance and Response (IDSR) data has been reported through DHIMS2. We evaluated the performance of the DHIMS2 system using completeness and timeliness of reporting. The DHIMS2 system attributes too were assessed.

Relevance of lifecycle management to smart city development

Smart cities are complex ecosystems with interrelated systems or system of systems. Hence, management of smart cities is very important due to the big number of stakeholders, diversity of application domains, heterogeneity of data sources, and complexity of smart systems. Nevertheless, fewer studies have considered management aspect of smart cities compared to other technical aspects. Considering the different phases of smart city development, there is a need for comprehensive vision to manage smart city across lifecycle phases. This work proposes a smart city lifecycle-based approach which consists of two components. First, lifecycle-based representation of smart cities by adding the depth of 'Time' as a new dimension. Second, interaction approach between lifecycle management system and IoT platforms. For this purpose, this paper examines the empirical relevance of lifecycle management to smart city development through a limited case-based survey.