Application Of Learning Technology Research Articles

Development of Android-Based Learning Media Using App Inventor to Improve Student’s Learning Outcomes for Dynamic Fluid Materials

Technology plays a great role in education, particularly in facilitating creative and innovative approaches to physics learning. This study focuses on developing Android-based learning media using App Inventor for dynamic fluid materials. This Research and Development (R&D) was based on the Jan Van Den Akker model. The development stages covered preliminary research, needs analysis, prototyping, summative evaluation, and reflection and documentation. Data on the effectiveness and practicality of the developed media were obtained from questionnaires distributed to experts, teachers, and students. Data were analyzed using N-Gain tests and obtained a score of 0.63 which is in the moderate category. The developed learning media has a high level of effectiveness in improving students’ understanding of dynamic fluid materials. The results of this study indicate the potential to expand the application of technology in learning to improve quality and sustainable innovation in physics learning.

Application of Learning Technology as a Strategy for New School Principals to Gain Acceptance

This research aims to describe the use of learning technology as a strategy used by novice principals to gain acceptance in the elementary school environment by novice principals to increase their acceptance in elementary schools. Learning technology includes a variety of tools and platforms that can improve learning quality, administrative efficiency, collaboration with parents, and teacher professional development. By implementing learning technology, novice principals can demonstrate visionary leadership, increase student motivation and engagement, and strengthen relationships with all stakeholders. This research approach uses a qualitative descriptive method with data analysis through in-depth interviews and participant observation at three elementary schools in Mojokerto Regency, namely SDN Tanjungkenongo 2 Pacet, SDN Ketapanrame 2 Trawas, and SDN Pagerluyung 1 Gedeg. The main informant for this research was the school principal and was triangulated with teachers and the school committee. The research results show that the use of learning technology as an innovation by novice school principals has great potential to increase their acceptance in elementary schools. By implementing learning technology, school principals can demonstrate visionary leadership, increase administrative efficiency, support teacher professional development, increase collaboration with parents, and increase student motivation and engagement. These findings provide important insights for educational leaders to improve their leadership effectiveness.

Futuristic Leadership to build a Golden Generation at Surakarta Elementary School

This research explores the application of futuristic leadership in SD Surakarta to build a golden generation. Futuristic leadership here refers to an approach that integrates technology, innovative curricula, sustainable teacher training, and community participation to create an adaptive and innovative educational environment. Research methods used include in-depth interviews, focus group discussions (FGD), participatory observations, and documentation analysis. Research results show that the application of technology in learning improves student engagement and motivation. Curriculum that combines project-based learning (PBL) and STEM approaches successfully enhances student creativity, critical thinking, collaboration, and problem-solving skills. Active participation of parents and communities creates strong support for student holistic development. Facilities and classrooms designed to support interactive and collaborative learning create an environment conducive to the development of students' skills and creativity. The impact of this application is a significant improvement in the academic achievement and skills of 21st century students, teacher satisfaction, as well as parental involvement. The research concludes that futuristic leadership in SD Surakarta is effective in building a golden generation and can serve as a model for other schools that want to adopt a similar approach.

Study on the Application Status of 3D Point Cloud

This paper aims to discuss the application and development trend of 3D point cloud technology in different fields. As an effective means of digitizing the real world, 3D point cloud has been widely used in many fields, including computer-aided design, building information modeling, geographic information systems, robot navigation, autonomous vehicles, and the digitalization of cultural relics. In this paper, the techniques of acquiring 3D point cloud data are summarized, including laser scanning, structured light scanning and time flight measurement. Then, the latest developments in point cloud data preprocessing were analyzed. Further, the challenges of 3D point cloud technology are discussed, such as large data volume, slow processing speed and high precision requirements. Finally, this paper looks forward to the future development direction of 3D point cloud technology, especially in the integration of artificial intelligence and machine learning technology application potential. Through this study, we expect to provide researchers and practitioners in related fields with a comprehensive understanding of 3D point cloud technology and promote its application in a wider range of fields.

The Impact of Implementing Blockchain Technology in Learning on Data Security and Integrity

The application of blockchain technology in learning has great potential to improve data security and integrity. Because blockchain is a decentralized technology that uses block chains to record and secure transactions in a transparent and permanent manner, it offers an excellent solution to address security and data integrity issues. This research was conducted with the aim of improving the security and integrity of student data. Student data can be stored in a distributed manner with blockchain. No one can change or delete it without their permission. This goal also includes increasing transparency and accountability of the learning process to ensure that the data used in the learning process is accurate data. The method used in this research is a quantitative method. This method is a way of collecting numerical data that can be tested. Data was collected through distributing questionnaires addressed to students. Furthermore, the data that has been collected from the results of distributing the questionnaire will be accessible in Excel format which can then be processed using SPSS. From this research carried out, researchers can obtain research results that blockchain technology is used to protect educational data by locking the learning history of the learning management system (LMS), so that assessments can be carried out effectively and allow all parties involved to access and verify information safely while ensuring data integrity and validity. Based on the results of this research, it can be concluded that the application of blockchain technology can help improve the security and integrity of student data, such as academic, financial and personal data, in the learning context. By using blockchain, students have complete control over their data and ensure that bad people cannot misuse or access it. Apart from that, blockchain technology can also increase transparency and accountability in the classroom.

Research on the Application of Recognition and Detection Technology in Automatic Driving

Object detection is the cornerstone of autonomous driving systems. In autonomous driving systems, vehicle detection is critical to maintaining traffic flow and avoiding collisions. The use of deep learning technology enables the system to skillfully and accurately identify vehicles on the road. Deep learning algorithms can provide autonomous vehicles with precise environmental awareness to enable informed driving decisions. Deep learning algorithms can achieve pedestrian detection. Such algorithms can improve the safety of vehicle operations. Through deep learning models, the system is able to identify and track pedestrians, ensuring appropriate responses in different traffic scenarios. The application of detection technology enables vehicles to promptly identify and interpret road signs and traffic lights in real-time. This recognition ability helps to comprehensively understand traffic conditions and improve the ability to adapt to different road conditions. This study provides an in-depth exploration of the importance and application of deep learning technology in the field of autonomous driving. Special attention is paid to the key role played by object detection methods. and propose future development directions. Deep learning algorithms can expand the application of learning technology to handle real-time traffic conditions and achieve rapid response. Achieve the fusion of multiple sensory information by improving the local processing capabilities of edge computing. This research aims to further improve the level of intelligence inherent in autonomous driving systems.

ENHANCING TEACHER PROFESSIONALISM THROUGH TRAINING OF LIVEWORKSHEETS TO SUPPORT IMPLEMENTATION OF MERDEKA CURRICULUM.

This research aims to determine the increase in teacher professionalism through training in making interactive LKPD with Liveworksheets to support the implementation of the Merdeka Curriculum. This research is motivated by the existence of a new paradigm in the implementation of the Merdeka Curriculum in schools where teachers in carrying out learning must be in accordance with the nature of nature and the nature of the times. One of them is the application of technology in learning. The use of technology in the learning process at SMP Negeri 19 Tegal just uses PowerPoint as a media for presenting learning material. Meanwhile, for worksheets and assessments in the learning process, conventional methods are still used, so training needs to be held to enhance professionalism. This type of research is quantitative descriptive. The research subjects were teachers at SMP N 19 Tegal. Data collection in this research used observation, interviews, questionnaires and documentation studies. The data analysis techniques used are data reduction, data percentage, and drawing conclusions. If the teacher's response to training is above 70%, then the training carried out can increase teacher professionalism. The results of the calculation of the questionnaire given showed that the teacher response to the training provided was 92%, which means that the training increased teacher professionalism, especially in the use of IT in the classroom.

PENGEMBANGAN KOMPETENSI GURU MELALUI PELATIHAN PENELITIAN TINDAKAN KELAS DALAM MENINGKATKAN KUALITAS PEMBELAJARAN

This study discusses the development of teacher competence through teacher training learners (PTK) and its impact on improving the quality of learning in the village of Karang Indah. Karang Indah village is an example of many rural areas in Indonesia that face the challenge of improving the quality of Education. PTK training is directed to improve teachers ' understanding of the latest curriculum, innovative learning methods, learning evaluation, classroom management, and application of technology in learning. The research method used is a case study with a focus on evaluating the impact of training on teacher learning practices and student achievement. The result of this training is an increase in the understanding and skills of teachers in conducting class action research and teachers realize the importance of innovation in learning the results of service activities in general, namely the teachers participating in the activity have understood and skilled in conducting class action research (PTK), and teachers have been skilled in preparing class action research articles. This activity is expected to improve the competence of teachers in teaching. Therefore, it is recommended that the government and educational institutions pay more attention to the development of teacher competence through PTK training, especially in rural areas such as Karang Indah Village.

Manajemen Pengembangan Kurikulum di Sekolah Dasar Islam

School curriculum development management is a process that involves planning, organizing, implementing, and supervising a curriculum that meets the needs and objectives of education. The purpose of this study is to describe and analyze the curriculum development management in SDIP Masyithoh and SDIT Quantum Mulia. Data collection was conducted through interviews, observations, and document analysis. The data collected were analyzed thematically. To improve the validity of the data, the researcher used triangulation. The researcher ensured that this study complies with the applicable research ethics. SDIP Masyithoh and SDIT Quantum Mulia are two Islamic schools that have different approaches to curriculum development management. SDIP Masyithoh emphasizes on strengthening Islamic values and the development of academic skills, while SDIT Quantum Mulia emphasizes on the application of technology in learning, integration of subjects, and the development of students' global competencies. These different approaches are reflected in every stage of curriculum development management, starting from planning, organizing, implementing, supervising, and evaluating. SDIP Masyithoh approach emphasizes on strengthening Islamic values and the development of academic skills, which can help students become intelligent, faithful, and virtuous individuals. Meanwhile, SDIT Quantum Mulia approach emphasizes on the application of technology in learning, integration of subjects, and the development of students' global competencies, which can help students become intelligent, creative, and leadership-minded individuals.

Development of Edmodo-Based E-learning on Newton’s Laws

The application of learning technology in the digital era, for example, the use of learning, has potential advantages to help educators and students achieve learning goals. Learning activities are still conventional and using less attractive learning media affect students' interest and learning motivation, so learning media are needed to increase motivation and help students to understand the material optimally. This study aims to determine the validity of Edmodo-based e-learning media in Newton's Law courses. This type of research is Research and Development (R&D) with a 4D research design (Define, Design, Development, and Disseminate). This research is limited to the development stage. The respondents of this study were two teachers who were subject experts and media experts. The study results show that Edmodo-based e-learning on Newton's Laws is due to the validity of the learning media. Subject expert validity is in the very good category, with a score of 4.77. Media expert validity is in the good category, with a score of 3.90. The results of this study have implications for the readiness of learning media to support the achievement of learning objectives in Newton's Laws subjects.

PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS BLOG UNTUK MENINGKATKAN MOTIVASI BELAJAR X SMAN 1 TANJUNG BUMI

The application of technology in learning as a learning medium will make it easier for students to learn according to their characteristics and can help teachers when overcoming difficulties in conveying learning material. This study aims to determine the procedure for blog-based learning media, and whether or not the learning media is appropriate, as well as to analyze the development or increase in student motivation after the introduction of class X blog-based learning media at SMAN 1 Tanjung Bumi. This study uses research and development methods using the ADDIE model. Using data sources from teachers and students at SMAN 1 Tanjung Bumi, with research data on the development of learning media. Data collection using a questionnaire. Data analysis techniques are qualitative and quantitative data analysis, qualitative data analysis of media is carried out according to the scores of material experts, media experts, economic learning practitioners, and student response questionnaires. The results of research on the development of blog-based learning media in class X OJK lessons with the satisfaction of using blog-based learning media are very suitable for use in learning; student responses experienced an increase in motivation to take part in learning

The effect of moodle-based learning in learning studios with the TPACK approach on high school students' learning outcomes

In the 21st century learning must be integrated with various technological devices in the entire process, this also supports the industrial revolution 4.0 program. The TPACK approach is the answer to these demands, where learning is based on knowledge of teaching materials (content knowledge), how to teach material (pedagogical knowledge), and knowledge of how to use technology (technological knowledge). One example of the application of technology in learning is the Modular Object Oriented Dynamic Learning Environment (moodle), at the research site, namely SMAN 8 Serang City, there is a moodle-based learning studio website. The sample of this study were students of class X at SMAN 8 Kota Serang. The research method used in this study was quantitative pre-experimental design, with a one-group pretest-posttest research design. The results of the study showed that there was an increase in the learning outcomes of students who had studied using the moodle sanggar belajar by 52.3%. The n-gain score obtained was 61.62% which was categorized as "effective enough", which means that learning achieves learning objectives with proven significant mathematics learning outcomes.

Factors That Influence the Succes of Application of Technology in Learning: Teacher Work Motivation and Organizational Support

The problem with teachers in general is that they have not fully mastered the use of technology in learning. To evaluate the effect of teacher work motivation and organizational support on the application of technology is the goal to be achieved in this study. This study used a quantitative method, namely explanatory research. Samples were taken using simple random sampling technique of 115 respondents. Data collection was carried out through questionnaires and interviews. Test method with validity and reliability tests. Validity test to correlate questions with the total score of each variable. The data that has been collected is then analyzed using descriptive statistical analysis methods. The results of the study show that partially the teacher's work motivation has a positive and significant effect on the successful application of technology by 9.2%. Then the support of school organizations partially has a positive and significant effect on the successful application of technology by 36.7%. Simultaneously work motivation and organizational support affect the success of applying technology in learning by 59%. Compared to teacher motivation, school support in the form of infrastructure services, availability of computers, internet networks makes a greater contribution to improving the quality of learning.

Study on the Progress in Climate-Change-Oriented Human Settlement Research

Since the 20th century, the escalating impact of climate risks has led to a heightened global focus on climate-change-oriented human settlement research (hereafter referred to as CCHSR). This paper presents an econometric analysis of 6830 research papers published from 1975 to 2023 (first two months) to investigate the characteristics, key issues, and research trends in CCHSR, to provide valuable insights and recommendations for future research. We used CiteSpace, bibliometric software that constructs a knowledge-mapping analysis of annual publication volume, source publications, and country distribution; this study examines the characteristics of the literature sources in CCHSR. It also explores the literature distribution through an analysis of co-citation and collaboration. The study identifies the key topics of current research through a keyword clustering analysis, including extreme climate risk response, environmental safety and sustainability enhancement, and machine learning technology application. The study identifies three research trends for future investigations by analysing keyword emergence, including climate risk governance implementation, artificial intelligence technology application, and settlement security and resilience enhancement. Finally, the study presents recommendations for priority CCHSR in three areas: theoretical system development, mechanism strategy design, and technology implementation.

Application of Learning Technology in Domino Card Games on a large scale and individually to the responses of senior high school students

Learning by applying game technology in learning media will attract students' attention. This study uses a domino physics game with quantities and units as materials. Each card will be printed with a barcode containing information regarding the principal amount, unit, symbol, and dimensions. The process of making physics domino card media uses the ADDIE development model. The trial was conducted on 133 class X students at one of the SHS in the Pamekasan and Surabaya Regencies. The results of the validation of the physics domino cards in the media aspect obtained a very valid average category value, and the material aspects got a very valid average category value. The results of the average percentage of responses of Al Amien Pamekasan senior high school students after using the domino physics media with indicators of ease of obtaining, interest, and usefulness obtained scores in the very good category. The results of the average percentage of responses from Pamekasan 4 senior high school students after using the domino physics media with indicators of ease of obtaining, interest, and usefulness obtained scores in the very good category. The average percentage of senior high school 9 Surabaya responses after using the domino physics media with indicators of ease of obtaining, interest, and usefulness received scores in the very good category. Domino physics learning media can make it easier for students to understand the material in quantities and units and instill a strong will to learn physics.

I do, I understand: engaging distance and campus students in sustainability through active learning

Distance online learning connects students to education opportunities without having to be present at the institution offering the learning module. This case study involved development of a dual on-campus and distance course into a fully online course. It required a student-focused approach and an innovative application of learning technologies, additional resources and learning frameworks to encourage student engagement, independent learning and growth of critical-thinking skills. Changes to the design of the teaching approach and the use of technology improved the quality and quantity of interaction and communication between staff–students and students–students and facilitated a hands-on learning experience for online students interacting asynchronously. Student engagement with the course material, other students and teachers increased compared to previous years. Additional resource videos, learning and assessment guides (written and video), and online field trips helped develop critical-thinking skills and connectedness of learning to real-world applications. Recommendations are provided of learning approaches that could be used by other educators in different subject courses.

A graph based deep learning technology application in degenerative polyarthritis associated genes prediction

Abstract: Degenerative polyarthritis is the most common joint disease and affects millions of people worldwide. However, there is currently no cure for degenerative polyarthritis and no effective methods to prevent or slow down its progression. Gene regulatory relationships are vital for understanding disease mechanisms and developing treatment and novel drugs. Gene regulatory networks can be obtained from the RNA sequencing. Although various single-cell and bulk RNA sequencing data are available, an effective method to integrate the data for molecular diagnosis and treatment of degenerative polyarthritis has not yet been carried out. Here, we propose a novel deep learning-based method to efficiently capture the gene regulatory features of degenerative polyarthritis. First, we integrate single-cell RNA sequencing data-based gene regulatory network to model the gene regulatory relationships between genes and transcription factors as node feature aggregation. Second, we propose a graph convolutional model named dpTF-GCN on gene regulatory graph to transmit and update the node feature for potential associated genes predicting. According to the results, dpTF-GCN achieved the best performance among represented network-based methods. Furthermore, case studies suggest that dpTF-GCN can identify potential associated genes accurately. Our research not only provides theoretical and methodological support for the study of degenerative polyarthritis, but also provides a research case for the application of graph neural network-based identification of associated genes in other diseases.

Implementasi Media Pembelajaran Berbasis Proyek pada Materi Sistem Gerak: Uji Coba Skala Kecil

The process of implementing the selection of instructional media is essentially one application of learning technology. This research is the implementation of project-based learning in which learners will create teaching aids to study the basic competencies of the motion system. This research belongs to research design with a small-scale class trial. This research involves five randomly selected learners. Questionnaire instruments were used to measure the interest and motivation of learners after the small-scale class trial. The results of the small-scale class trial show that student interest is predominantly low, with a percentage of 25% regarding teaching aids-based instructional media, while the results of the small-scale class trial indicate that learner motivation agrees, with a percentage of 47% regarding student motivation instruments in instructional media. Learner responses to teaching aids and instructional media are quite positive, with a percentage of 60%, and they provide feedback related to providing more visuals and more appealing fonts. The implementation of project-based learning with teaching aids media in the small-scale class trial shows a positive trend and serves as a basis for improving teaching aids media for use in larger-scale class trials. Keywords: teaching aid, learning media, skeletal and muscular system

Technology Challenge: EFL Teacher Experience Teaching Online at Kindergarten

The application of learning technology makes a severe challenge for the English teachers as a foreign language (EFL) at Kindergarten learning online, which results in neglected outcomes. Various kinds of the latest tools and appropriate online learning technology are widely available, but the limited ability of EFL teachers and students can't keep up with the progress. This study aims to analyses how the challenges of EFL teachers and students using online learning technology impact output quality in kindergartens. The data for this study were sourced from the owners of the Kindergarten, the principal, and 12 EFL teachers who had considerable experience in two private Kindergartens. Data collection is done through observation, documentation, and interview. Data analysis is manually inductive with model producer which started from data collection, reduction, data display, and verification. The study results show that the importance of appropriate technology that EFL teachers and students cannot use has resulted in a fall in the quality of outcomes that have a global impact. The impact of children's education in Kindergarten affects further formal education, which should follow the demands of the development of science and technology in the present and the future. This condition does not pursue the educational vision, mission, and goals. At the same time, this study requires problem-solving based on problem-based learning, and excellent teachers must master Technological Pedagogical and Content Knowledge (TPACK).

An Overview of Machine and Deep Learning Technologies Application in Agriculture: Opportunities and Challenges in Nigeria

Globally agriculture has remained a key factor in food security, employment, and several other favorable economic indices. However, factors like rising world population, trade globalization, and climate variabilities have created the need for modernization and optimization to boost production and livelihood. Machine learning allows machines to read from a pool of available data and provide data-centric results. This has opened up a new and promising perspective. The paper examines recent proven works in machine learning technology application in agriculture to establish the modest contribution of machine learning and emerging deep learning technologies in this field to highlight the need for its adoption in the Nigerian agricultural ecosystem. Therefore, a systematic review was carried out using a categorization model of key agricultural subsectors/activities. Findings have shown a widespread of its application with significant positive impact in almost every aspect of agriculture with new works showing higher result efficiency in deep learning technologies application. Insightful recommendation from these technologies has proven capable of boosting agriculture on various fronts. Thus, the adoption of ML/DL technologies in Nigeria’s Agriculture will go a long way in helping the country attain food sufficiency.