Application Of Learning System Research Articles

Implementation of Technology Utilization in Increasing Learning Motivation in Christian Religious Education for Students at SPNF SKB Sonder

The development of technology can increase student motivation in learning Christian religious education, especially in the application of learning systems that focus on the use of technology. With its implementation, PAK teachers must develop an PAK learning system based on technology, because the teacher is the pivot in every learning inside and outside the classroom. Changes and dynamics occur in the learning system, so PAK must be taught in the public space as well as within the confines of a fixed small space (classroom) which is the foundation for the essence of Christian values. The purpose of this writing is to find out how the implementation of the use of technology in increasing motivation to learn Christian religious education for students at SPNF SKB Sonder. In this study using qualitative research with an approach through interviews and literature study. The results and conclusions are first, Technology is important in the Learning Process, because educational technology motivates students to work independently where students are more motivated to return to study and work because modern technical equipment is available as a supporting facility in equipping students to understand each material. Second, the existence of technology will increase the learning motivation of students, especially PAK learning, PAK teaching is a vehicle for implementing technology in an effective manner, so that students can clearly understand what is being taught, because it is assisted with audio-visual media and packaging so that the learning model does not become bored so that students can freely learn and motivate students in improving achievements that are in the axis of knowing God's work in the Bible which is displayed through technology.

The Teacher Professional Education Students' Perception on Learning Management System-based Online Learning

This research aimed to investigate the perceptions and impacts of online learning utilizing the SPACE (Electronic religious learning system application) among students enrolled in Teacher Professional Education (TPE) programs at State Islamic Religious Colleges. Employing a quantitative approach, the study utilized linear regression analysis and structural equation modeling through AMOS 23. Effectiveness was gauged using indicators proposed by Robert E. Slavin, encompassing quality of learning, appropriateness of learning level, intensity, and time. The study participants comprised students across three Teacher Professional Education Study Programs. The findings revealed that nearly all participants expressed ease in learning and perceived the modules within SPACE as more effective. They also indicated that the materials/modules in SPACE aligned well with the needs of TPE participants and found the learning procedures within SPACE easy to follow. Notably, incentive variables within implementation indicators had a direct influence on perceived ease of use (user convenience), subsequently impacting the perceived usefulness variable. For future research, integrating direct interview data from students and conducting comparative analyses between offline and online implementations in professional education would provide valuable insights.

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey.

Autonomous systems possess the features of inferring their own state, understanding their surroundings, and performing autonomous navigation. With the applications of learning systems, like deep learning and reinforcement learning, the visual-based self-state estimation, environment perception, and navigation capabilities of autonomous systems have been efficiently addressed, and many new learning-based algorithms have surfaced with respect to autonomous visual perception and navigation. In this review, we focus on the applications of learning-based monocular approaches in ego-motion perception, environment perception, and navigation in autonomous systems, which is different from previous reviews that discussed traditional methods. First, we delineate the shortcomings of existing classical visual simultaneous localization and mapping (vSLAM) solutions, which demonstrate the necessity to integrate deep learning techniques. Second, we review the visual-based environmental perception and understanding methods based on deep learning, including deep learning-based monocular depth estimation, monocular ego-motion prediction, image enhancement, object detection, semantic segmentation, and their combinations with traditional vSLAM frameworks. Then, we focus on the visual navigation based on learning systems, mainly including reinforcement learning and deep reinforcement learning. Finally, we examine several challenges and promising directions discussed and concluded in related research of learning systems in the era of computer science and robotics.

Literasi dan Sistem Pembelajaran Daring Penunjang Kualitas Belajar Mengajar Sekolah Dasar Inklusi

This Community Partnership Program (PKM) answers the problems faced by partner, SDN 2 Inclusion in Bengkala Buleleng Village, Bali. The first problem is the lack of literacy that meets the needs of the Inclusive Elementary School. The second problem there is no online learning system. Moreover, the third, teachers do not have facilities of the literacy and learning system for the inclusive elementary school. The solutions offered to answer the three problems are, first, literacy that supports learning needs. Second, the provision of an integrated website-based learning information system and library-based teaching materials library service. Third, literacy for teachers about the application of learning systems and the manufacture of teaching materials that facilitate the teaching and learning process. The method of implementing this PKM is community participation by developing into a number of activities such as: participatory mentoring, workshops, simulations and substitution of science and technology, creation of learning information systems and library services for integrated web-based teaching materials as well as literacy and socialization processes. The evaluation of this activity uses the CIPP method, namely context, input, process, and product tailored to the needs of literacy and teaching and learning processes. The target of this program is the availability of online learning support facilities, increasing the ability of teaching teachers in online teaching and creating digital learning media, as well as the availability of a Learning System and Teaching Material Library Service.

Training on the Implementation of Online Learning System Applications for Teachers at SMAN 4 Palopo

Mastery of information technology is very important for a teacher in learning activities at school. One of the supporting factors for improving the quality of learning is mastering the skills of utilizing online learning system applications. The goal to be achieved in this activity is to transfer science and technology by conducting training activities on the application of online learning system applications for teachers at SMA Negeri 4 Palopo. The method of implementing training activities on the application of online learning system applications at SMA Negeri 4 Palopo is by applying lecture and practice methods. The stages are: teachers are given an understanding as well as an introduction to the online learning system application, provide training on the use of zoom, Classroom, and Quiziz applications to teachers, provide assistance for teachers in the context of implementing online learning system applications at school so that the learning process becomes quality. The results of the PKM program activities entitled "Training on the Application of Online Learning System Applications at SMA Negeri 4 Palopo" were able to improve teacher skills in using online learning system applications so as to improve the quality of learning at school. Based on the training program that has been carried out, it can be concluded that the implementation of the training went smoothly and received a positive response from the teacher as a very good trainee and has been skilled in using online learning system applications such as: Zoom, Classroom, and Quiziz.

Emerging robust and data‐driven control methods for uncertain learning systems

Emerging robust and data‐driven control methods for uncertain learning systems

Transformation of the learning system in nursing education after the COVID-19 pandemic

Introduction: As the next generation of professional nurses, nursing students must adapt to the learning system implemented in Indonesia during the COVID-19 pandemic. This study aimed to explore information on the transformation that occurred from the application of the learning system. Method: Using a qualitative descriptive research design with the guidance of the Meleis Transition Theory, which was used to gather information from nursing students about the application of learning systems, both theory and laboratory practice at the Nursing department, Universitas Muhammadiyah Surakarta during the pandemic, interviews were conducted on 13 participants. Data was collected by interviewing one by one using a semi-structured format and then transcribed. Data were analyzed using Colaizzi phenomenological reduction. The interview results obtained three themes: technological challenges, academic challenges, and resilience. Result: The study's results obtained a theme that revealed a number of challenges experienced by students during this transition period, such as technological challenges, academic challenges, and resilience. Conclusion: The COVID-19 pandemic requires the world of nursing education to adapt to maintain the skills and knowledge of its students to become the successors of professional nurses.

The role of motivation of unified theory acceptance, use of technology model and innovation dif-fusion theory on e-learning intention of SMEs employee

In the digital era and the era of the industrial revolution 4.0, the quality of human resources needs to be improved in order to have competencies that are in accordance with the needs of the organization. Therefore, an effective and efficient method is needed to improve employee competence by using e-learning technology. This study analyzes the Diffusion of Innovation Theory through the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study uses quantitative data obtained by surveying 400 SME employees in Indonesia using an e-learning system. Dissemination of data is by using online questionnaires through social media. Data analysis uses structural equation modeling (SEM) modeling. The results of data analysis show that the theory of diffusion of innovations mediated by intrinsic and extrinsic motivation in the UTAUT model had a significant effect. The aspects that make up the theory of diffusion of innovation significantly and directly affect the intention of SMEs employees to use the e-learning system. The findings show that the diffusion of innovation theory has various indicators for the application of learning systems and further e-learning development so that they can have a real and significant impact on improving organizational performance and competitiveness.

Rancang Bangun Sistem Aplikasi Pembelajaran Pada Min Toweren

The learning system is the most important role in education. MIN Toweren has problems in the thematic learning system in mathematics. Students have poor learning motivation in class. Analysis of the learning system at MIN Toweren was carried out to find its weaknesses. With the SDLC system development method, a digital learning system application was built. The test results using blackbox testing and whitebox testing methods show that the application of the learning system is able to run well and functionally. Keywords: SDLC, learning system, MIN Toweren

Active learning for middle school based on information technology in SMA Negeri 1 Dolok Batu Nanggar

After the millennium era, with the rapid development of information technology, changes in business patterns also increased sharply. This is what is called the era of disruption. IT technology has also penetrated the world of education, both in management and in learning methods. In the world of education, now the learning method does not only use conventional methods such as from textbooks and explanations from teachers, but also with effective and efficient learning methods by utilizing information technology. An example is multimedia-based learning media. Community service is one way that can be used to carry out information technology socialization. Community service that will be carried out in this research is entitled Utilization of Information Technology in the Implementation of Active Learning in SMA Negeri 1 Dolok Batu Nanggar in Facing the Era of the Industrial Revolution 4.0, with the aim of helping teachers in a more interesting interactive and fun mathematics learning process, because In general, junior high school students have used a lot of telecommunications devices equipped with various kinds of multimedia. The learning application that is built includes material, exercises and tests, in accordance with applicable competency standards. Furthermore, training will be given to several senior high schools, as a provision on how to prepare and use this learning system application so as to increase student motivation and ultimately increase student achievement and improve the quality of education.

MAKING LEARNING TEACHING MATERIALS IN SCHOOL BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY

In the world of education now learning methods do not only use conventional methods such as from textbooks and teacher explanations, but also with effective and efficient learning methods using information technology. An example is multimedia-based learning media. Community service is one way that can be used to carry out information technology socialization. The community service that will be carried out in this study is entitled Easy and Interesting Mathematics Learning Through Animation. For elementary school students, with the aim of helping students in the learning process of mathematics that is more interesting interactive and fun, because in general lower elementary school students view mathematics lessons are difficult and boring learning. In this service, a learning media for mathematics will be created that includes the problem of building and space in accordance with the existing curriculum. Learning applications that are built include material, training, and tests, in accordance with applicable competency standards. Furthermore, training will be given to several elementary schools, as a briefing on how to use this learning system application so as to increase student motivation and ultimately improve student achievement and improve education quality.

Machine learning in determination of water saturation deficit in wheat leaves on basis of Chl a fluorescence parameters

Water saturation deficit (WSD) is a parameter commonly used for detection of plant tolerance to temporary water shortages. However, this parameter does not meet criteria set for screening. On the other hand, measurement of chlorophyll (Chl) a fluorescence is a fast and high-throughput method. This work presents the application of learning systems to set up a model between WSD and Chl a fluorescence parameters allowed for development of a new screening test. Multilayer perceptron (MLP) was trained to predict WSD values on the basis of Chl a fluorescence. The best MLP consisted of three inputs: maximal quantum yield of PSII photochemistry, approximated number of active PSII reaction centres per absorption, and measure of forward electron transport, three hidden nodes and one output (WSD). The MLP precision was 82% with a correlation coefficient of 0.98. Continuous improvement of MLP structure and model adaptation to new data takes place. (1)

Caring of Disabilities Deaf Mute Patient with Talking Devices Application Based on Mobile

The role of nurses in children with difable is to help in communicating so they can interact with others. Deaf mute requires health care and information on health education.This research focused on an application that facilitates Disabilities Deaf Mute Patient to communicate with other by using a mobile phone. This application based on mobile user by typing letters and it will automatically change into the form of voice (text to speech) that have been arranged into a word so can understood by the other person who use the application. This research helps nurses to communicate by using talking tools application. Development of systems using mobile technology by using Java programming language and talking tool. Results of this study was an application of learning system that helps teachers to communicate with their mute children. The application of mute children will be greatly helped in communicating with the interlocutor.

Design of Business Intelligence in Learning Systems Using iLearning Media

In the era of modern learning, e-Learning system utilized the school as a media institution of learning that can control the effectiveness of student learning. Some of your existing online learning system is not yet able to support teaching and learning activities based on student (student oriented). This research aims to harness and develop a system that is running by adding the concept of Business Intelligence in order to measure interest and activity of students in learning system application wear online. The methods used in this research are with the method of OLAP by utilizing data mart and user needs analysis. Design of business intelligence using user interface components namely the dashboard so that the information displayed in real time and accurate. The next of this research will be known how much interest and the liveliness of the students in the following learning interactively and communicative.

A Survey on Learning System Applications in Energy System Modeling and Prediction

Learning Systems (LS) such as machine learning, statistical pattern recognition and neural networks are computer programs that can learn from sample data and develop a prediction model that makes prediction for new cases. The most important think related with a prediction model is to achieve results as closer as to real situation while making predictions. This is important because being closer to real results help to reduce the costs of feasibility studies in system installation. The performance of Learning Systems has been raised in latest years such as it sometimes exceeds the performance of humans. That’s why the applications of Learning Systems have been increased in many areas. This paper reviews the present applications of Learning Systems in energy system modeling and prediction especially in renewable energy systems such as wind and solar. The aim of this paper is to create a vision for researchers by gathering the present applications and outline their merits and limits and the prediction of their future performance on specific applications.

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.

Nonnegative matrix factorization (NMF)-based models possess fine representativeness of a target matrix, which is critically important in collaborative filtering (CF)-based recommender systems. However, current NMF-based CF recommenders suffer from the problem of high computational and storage complexity, as well as slow convergence rate, which prevents them from industrial usage in context of big data. To address these issues, this paper proposes an alternating direction method (ADM)-based nonnegative latent factor (ANLF) model. The main idea is to implement the ADM-based optimization with regard to each single feature, to obtain high convergence rate as well as low complexity. Both computational and storage costs of ANLF are linear with the size of given data in the target matrix, which ensures high efficiency when dealing with extremely sparse matrices usually seen in CF problems. As demonstrated by the experiments on large, real data sets, ANLF also ensures fast convergence and high prediction accuracy, as well as the maintenance of nonnegativity constraints. Moreover, it is simple and easy to implement for real applications of learning systems.

Advanced Methods of Foundry Processes Control

Abstract The paper discusses two main approaches utilized in contemporary industry to control of discrete and continuous manufacturing processes: Statistical Process Control and Engineering Process Control as well as applications of learning systems and time-series analysis in the control systems. The use of time-series techniques for anticipated control of selected foundry processes is presented and positively evaluated using industry data obtained from the green molding sand processing.

The Application of Learning Systems to Support Decision for Stakeholder and Infrastructures Managers Based On Crowdsourcing

The Application of Learning Systems to Support Decision for Stakeholder and Infrastructures Managers Based On Crowdsourcing

Coming of age: celebrating a quarter century of user modeling and personalization: Guest editors’ introduction

When Alfred Kobsa and Wolfgang Wahlster hosted the first workshop on user modeling1 in 1986, few anticipated how important this field was to become during the next 25 years. That early workshop led to more workshops and then the User Modeling conference, which ultimately merged with the Adaptive Hypermedia conference in 2009 to become the User Modeling, Adaptation, and Personalization conference. In parallel to the evolution of the UMAP conference series, and also under the pioneering leadership of Alfred Kobsa, was the founding of the UMUAI journal, first appearing in 1991, originally published by Kluwer and now by Springer. This special issue of the UMUAI journal celebrates the first 25 years of user modeling research by providing invited (and in the UMUAI tradition also stringently reviewed) papers from leading experts on user modeling, adaptation, and personalization. The articles collectively provide a superb overview of research issues in user modeling that are the likely shape of the next decade of research, as well as an historical perspective of how these issues have evolved since the inception of the field. User modeling and user adapted interaction has not only grown as a research area, but has become a central applied issue for anybody interested in understanding users as they interact with technology. The foundational applications of learning systems (with student modeling to help systems adapt to learner differences) and natural language

A Benefit/Cost/Deficit (BCD) model for learning from human errors

This paper proposes an original model for interpreting human errors, mainly violations, in terms of benefits, costs and potential deficits. This BCD model is then used as an input framework to learn from human errors, and two systems based on this model are developed: a case-based reasoning system and an artificial neural network system. These systems are used to predict a specific human car driving violation: not respecting the priority-to-the-right rule, which is a decision to remove a barrier. Both prediction systems learn from previous violation occurrences, using the BCD model and four criteria: safety, for identifying the deficit or the danger; and opportunity for action, driver comfort, and time spent; for identifying the benefits or the costs. The application of learning systems to predict car driving violations gives a rate over 80% of correct prediction after 10 iterations. These results are validated for the non-respect of priority-to-the-right rule.