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This study aims to determine the effect and impact of the overall research on the Problem-based learning model in science learning. This type of research is a meta-analysis. The data sources in this study are 17 national and international journals published from 2017-2022. The process of searching for data sources through Google Scholar, ScienceDirect, Wiley, ProQuest, and Eric Journal. Inclusion criteria are research on problem-based learning models with experimental or quasi-experimental methods and measurement of learning outcomes to evaluate Problem-Based Learning learning models. The results showed that the average effect size value of all studies (ES = 1.40) was very high. This finding explains that the Problem-Based Learning model provides a very high positive impact on science learning. In addition, the Problem-Based Learning learning model is effective to be applied to students' science learning at school. Effect measurement in this study is influenced by the level of education, year of publication, learning outcomes, and sample size. Overall, the Problem-Based Learning model is very useful in increasing students' potential in facing the 21st century.

In carrying out teaching and learning activities, of course learning media is needed that can support student learning. E-module is a learning media that contains images, videos and quizzes that can provide feedback in learning for students. This research focuses on developmente-mode basedandroid on the use of hand tools. Developmente-mode based android uses the ADDIE development model which has several stages, namelyanalysis, design, development, implementation, andevaluation. This research uses a research designone group pretest-posttest. The subjects of this research were class X TAV SMKN 3 Surabaya with 32 students. Validation is carried out to measure feasibilitye-mode. Student responses are needed to measure practicalitye-mode during learning. Student learning outcomes in the knowledge domain and skills domain are analyzed using the T test to measure effectivenesse-mode in learning. The research results show that (1) the validity of the developmente-mode obtained a result of 83.89% with very valid criteria, which means it is very suitable for use in learning. (2) practicalitye-mode which was developed obtained student response results of 89.47% with very practical criteria, which meanse-modebased android very practical for use in learning to use hand tools. (3) effectivenesse-mode obtained from learning results in the knowledge domain and the attitude domain. In the knowledge domain, the average value is obtainedpre-test of 48.9, while the average valuepost-test amounted to 87.91, and the T test significance value was 0.000<0.05. In the skills domain, an average skill value of 91.92 was obtained, greater than the KKM value of 75, and a T test significance value of 0.000<0.05 was obtained. It can be concluded that there is a significant increase in student learning outcomes in the realm of knowledge and skills.

Indonesia requires Islamic Religious Education (PAI) as an important part in making students competent in cognitive, affective and psychomotor aspects (IQ and EQ). PAI functions to shape students' personalities so that they become virtuous and noble human beings (SQ). To increase competence in Islamic religious education, it is necessary to develop varied learning strategies. Varied learning strategies function to design learning methods and models, so that they are able to design teaching and learning environment systems and implement effectively and efficiently what has been planned in the learning objectives. Learning strategies are classified into 5 types: (1) direct learning strategies, (2) indirect learning strategies, (3) interactive learning strategies, (4) empirical learning strategies, (5) independent learning strategies.

This study investigates the efficacy of dynamic assignment strategies in enhancing English language proficiency, engagement, and motivation among learners compared to traditional assignment methods. Through a mixed-methods approach, involving quantitative analyses of language proficiency scores and engagement levels, as well as qualitative insights from student perspectives and teacher observations, the research highlights the significant advantages of integrating dynamic assignments in English language learning. Results indicate that students participating in the dynamic assignment group showed statistically significant improvements in overall language proficiency, particularly in speaking and writing skills (p < 0.05). Additionally, these students reported higher levels of cognitive, emotional, and behavioral engagement (p < 0.05), which were positively correlated with their language proficiency improvements (r = 0.62, p < 0.01). This suggests that the more engaged students are in their learning process, the better their language learning outcomes. From the qualitative data, students expressed a greater motivation and interest in learning English, attributing this to the real-world relevance and applicability of the dynamic assignments. Teachers corroborated these findings, noting enhanced active participation, collaboration, and improvements in students’ communication skills and confidence. However, both students and teachers identified challenges, including increased preparation time and the need for clearer guidelines to maximize the benefits of dynamic assignments. The study concludes that dynamic assignment strategies significantly contribute to improving language proficiency and engagement among English language learners. It suggests that addressing the identified challenges could further optimize the effectiveness of these strategies. This research advocates for a shift towards more interactive, relevant, and engaging teaching methodologies in language education to better prepare learners for real-world communication.

This study explores the potential of mobile educational applications to enhance student-centered inquiry-based learning (IBL) in secondary school classrooms. As traditional, teacher-centered pedagogies fail to adequately engage students in critical thinking and problem-solving, IBL offers a promising alternative that encourages active participation and deeper learning. The research investigates how mobile applications can support IBL by facilitating the inquiry process, such as data collection, hypothesis formulation, and collaboration. Through a quasi-experimental design involving secondary school students, the study compares the effectiveness of traditional teaching methods and mobile-assisted IBL. Results indicate that students using mobile applications showed significant improvements in critical thinking, engagement, and academic performance compared to those taught through traditional methods. Teachers and students both reported high satisfaction with mobile apps, particularly in terms of ease of use and educational value. The findings suggest that integrating mobile technologies into the classroom can create more interactive, accessible, and personalized learning experiences, fostering critical thinking and enhancing student outcomes. However, challenges related to infrastructure, teacher training, and digital literacy must be addressed to fully harness the potential of mobile-assisted inquiry-based learning.

The rapid growth of social media platforms has generated massive volumes of unstructured textual data containing valuable information about public opinions and sentiments. Extracting meaningful insights from this data has become increasingly important for decision-making in various domains, including business, politics, and social analysis. This study aims to evaluate the effectiveness of deep learning techniques for sentiment analysis of social media data, focusing on Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and a hybrid CNN-LSTM model. A quantitative experimental approach is employed, where datasets are preprocessed through text cleaning, tokenization, and feature representation using word embeddings. The models are trained and evaluated using standard performance metrics, including accuracy, precision, recall, and F1-score. The results indicate that all models perform effectively in sentiment classification tasks, with the hybrid CNN-LSTM model achieving the highest performance due to its ability to capture both local textual features and long-term contextual dependencies. This demonstrates that combining CNN and LSTM architectures enhances classification accuracy compared to individual models. Furthermore, the findings confirm that deep learning approaches are more robust in handling the complexity and noisiness of social media data compared to traditional methods. This study contributes to the development of more adaptive and accurate sentiment analysis models and highlights the potential of hybrid deep learning architectures for real-world applications.

The study was conducted to determine the effectiveness of scientific approach and video media to improve students’ speaking skill. The aim was to find out significant differences between the experimental class that received treatment and the control class that did not receive treatment. The research was conducted for 4 days at SMPN 32 Semarang with a population of all ninth grade students. Meanwhile, the samples were from IXF as the experimental class and IXG as the control class. There are 30 students in each class who participated. The research is quantitative research and used quasi-experimental method. Instrument of the study was oral test and collected the data used pre-test and post-test. Technique of data analysis used IMB SPSS version 25. After 4 days of treatment, the average student learning outcomes were very significant. The Mean score of control class is 63.2 and experimental class is 80.9. The average score of the control class is lower than the experimental class, which means that te control class showed a slight improvement after the learning process without using a scientific approach and video media. Meanwhile, the experimental class showed significant improvement after the learning process using a scientific approach and video media. The results have been processed through SPSS and produced significant differences between the control class and the experimental class. So, it can be conclude that a scientific approach and video media are effective to improve students’ speaking skill.  

This study presents an advanced structural health monitoring (SHM) system for steel bridges based on wireless sensor networks (WSN) integrated with machine learning algorithms. The proposed system monitors and predicts structural integrity under various load conditions. The research focuses on developing a machine learning model capable of real-time anomaly detection, allowing for early warnings of potential failures. Experimental results from both simulation and field tests demonstrate the system’s effectiveness in prolonging bridge lifespan while reducing maintenance costs.

This study examines the effects of digital learning policies implemented in rural Indonesian schools on educational equity. By analyzing policy documents, teacher interviews, and student performance data from multiple rural regions, this research identifies key factors that facilitate or hinder equitable access to digital education. Findings reveal that while digital learning policies have the potential to improve educational access, disparities in infrastructure and digital literacy remain significant challenges. Recommendations for policymakers focus on strategies to address these gaps and enhance policy effectiveness.

This study aims to evaluate the effectiveness of English textbooks for special purposes, particularly in the context of learning English for education. The content analysis method was used to evaluate the textbook with a focus on its purpose, content, methodology, and practical aspects. The results of the analysis showed strengths in purpose, approach, design and organization, as well as language aspects such as vocabulary and grammar. However, there were weaknesses in content coverage and integration of important components such as grammar and pronunciation. The implication is that this study emphasizes the importance of textbook evaluation to ensure the quality and effectiveness of learning, by adapting the materials to learners' needs and integrating methodologies that are in line with the latest educational developments.

This study aims to analyze the importance of facilities and infrastructure management in supporting the quality of educational services in educational units. In the context of modern education, facilities and infrastructure not only function as technical support for teaching and learning activities, but also as indicators of the quality of educational institutions. This research uses the library research method by examining various scientific sources, both in the form of journals, books, and relevant research reports. The results of the study show that effective management of facilities and infrastructure includes the process of planning, procurement, utilization, maintenance, and continuous evaluation of educational facilities. Each of these stages has an important role in ensuring the availability of a safe, comfortable, and conducive learning environment for all school residents. In addition, transparent and participatory management can increase a sense of responsibility, care, and efficiency in the use of facilities. The management of facilities and infrastructure based on the needs of students and the development of information technology has proven to be able to strengthen the quality of educational services and support the achievement of learning goals optimally. These findings provide practical implications for schools and policymakers to continue to strengthen data-driven educational facilities management systems and cross-stakeholder collaboration.

This study analyzes the transformation of economic education towards educational investment as a means of strengthening human resources (HR) through a bibliometric approach. By utilizing Scopus basic data and the VOSviewer analysis tool, the study examines the trends in publications over the past ten years, focusing on key areas such as educational economics, educational investment, and HR development. The findings highlight that innovations in educational economics, including the integration of digital technology, project-based learning, and collaborations between educational institutions, government, and industry, are crucial in enhancing the effectiveness of educational investments. Additionally, the study reveals that the proper allocation of educational funds for infrastructure development, improving teaching quality, and implementing skills-based training programs significantly contributes to increasing workforce competitiveness and promoting sustainable economic growth. The research emphasizes that educational investment strategies must be aligned with the needs of industry and global challenges to foster adaptive and innovative human resources. Moreover, it stresses the importance of designing educational policies that are comprehensive, addressing the aspirations of individuals and the relevance of education to the labor market. Ultimately, the study offers valuable academic insights and practical recommendations for policymakers, educational institutions, and other stakeholders. It also provides guidance for developing effective strategies that optimize educational investment and support the cultivation of superior HR capable of driving future economic progress.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This article investigates recent innovations in industrial engineering and mechanical systems, emphasizing how technological advancements impact manufacturing efficiency, sustainability, and cost-effectiveness. Through a review of current technologies, such as additive manufacturing, automation, and smart materials, the study assesses the key challenges industries face and forecasts emerging trends in mechanical engineering and industrial innovation. The article also discusses the potential for artificial intelligence and machine learning to revolutionize industry standards and drive forward engineering solutions.

Learning requires appropriate media support, which can be in the form of original objects around or production results, in order to support certain learning activities. In this process, the teacher acts as a facilitator who conveys messages to students, who then become intermediaries to gain knowledge. This research aims to determine the learning process that involves teachers as directors and students as learning intermediaries to receive information in cognitive, affective and psychomotor forms. The research used is literary study. The literature study method is a series of activities related to methods of collecting library data, reading and taking notes, and managing research materials. The results of the research show that learning media is needed to (1) increase learning effectiveness through student movement and thinking, (2) optimize the use of learning media for successful student learning, (3) adapt to curriculum developments for successful learning.

This research aims to describe the application of the PAIKEMI learning strategy in PAI learning. The application of the PAIKEMI learning strategy in Islamic Religious Education (PAI) aims to increase student achievement and engagement. This strategy focuses on student-centered learning, making learning active, innovative, creative, effective, fun and Islamic. In this research, the library research method was used. Data collection was carried out by utilizing library sources such as books, documents and journal articles. The research results show positive results in the implementation of PAIKEMI, which leads to increased cognitive competence and active participation of students. This strategy includes planning, implementation, factors that influence its effectiveness, and evaluation of student learning outcomes. By incorporating PAIKEMI into PAI classes, educators can create a more meaningful and enjoyable learning environment, fostering collaboration, creativity and effectiveness among students. This strategy includes approaches such as “Everyone Here is a Teacher”, which encourages active participation and individual engagement. Additionally, teachers undergo training and collaborative sessions to implement PAIKEMI effectively, ensuring successful lesson planning and student engagement.

Language is an important skill that must be learned to be able to do daily activities and adapt to the environment. Visually impaired children are not exempt from this problem, considering that technology in this century is essential and everywhere due to its convenience to use and the usage of technology that simplifies activities. Activities that are being done include learning. It is important for individuals who will later interact and teach children who have visual impairments, to keep up with news about the effectiveness of learning, one of which is knowing the role of technology in language learning for visually impaired children. This article is made using the systematic literature review research method to find out the role of technology in language learning for visually impaired children, what technology can be used for language learning for visually impaired children, and its effectiveness in learning. The technology that has the ability to read PDF text, convert sounds in various languages, convert visual information into audio, and learn through audio greatly facilitates the learning of blind children, whether it is language learning or learning in general. Technology that facilitates blind learning has a good effect in general on the visually impaired children, such as the building of self-confidence for the visually impaired children due to the increased ability of the visually impaired children to learn to identify their environment, the ability to be independent, less dependence on others, and increased communication skills due to language learning that becomes more accessible.

Language is an important skill that must be learned to be able to do daily activities and adapt to the environment. Visually impaired children are not exempt from this problem, considering that technology in this century is essential and everywhere due to its convenience to use and the usage of technology that simplifies activities. Activities that are being done include learning. It is important for individuals who will later interact and teach children who have visual impairments, to keep up with news about the effectiveness of learning, one of which is knowing the role of technology in language learning for visually impaired children. This article is made using the systematic literature review research method to find out the role of technology in language learning for visually impaired children, what technology can be used for language learning for visually impaired children, and its effectiveness in learning. The technology that has the ability to read PDF text, convert sounds in various languages, convert visual information into audio, and learn through audio greatly facilitates the learning of blind children, whether it is language learning or learning in general. Technology that facilitates blind learning has a good effect in general on the visually impaired children, such as the building of self-confidence for the visually impaired children due to the increased ability of the visually impaired children to learn to identify their environment, the ability to be independent, less dependence on others, and increased communication skills due to language learning that becomes more accessible.

Curriculum is an educational plan that describes all the learning experiences provided to students in an educational institution. This curriculum covers philosophy, values, knowledge and attitudes towards life, and is prepared by academics/curriculum experts, scientists, educators, education officials, entrepreneurs and other members of society. This research method uses a qualitative approach that guides the process of collecting, analyzing and interpreting observations. By using this qualitative research method the author tries to describe the results of the research by collecting data that supports the research using articles and books related to the title exploring spiritual meaning in the Christian Religious Education curriculum. Spiritual meaning in the context of Christian religious education includes understanding and practice which aims to bring students to know and understand God's will, as well as develop their spirituality through contextual and transformative education, by imitating the teachings of Jesus Christ. According to John M. Nainggolan, a Christian Religious Education teacher has several responsibilities which include evaluating the effectiveness of Christian Education in each related educational institution in developing children's spiritual aspects. The educational curriculum, especially in the context of Christian Religious Education, is a comprehensive plan that aims to guide students in acquiring knowledge, attitudes and skills that are in accordance with the values ​​and teachings of the Christian religion.

This research aims to describe the short story writing ability of class IV students at SD Inpres Andi Tonro Makassar through the Problem Based Learning model and to describe the effective Problem Based Learning learning model applied in writing short stories for class IV students at SD Inpres Andi Tonro Makassar. This research uses the one group pretest-posttest design research method. The population in this study were all students in class IVA and class IVB at SD Inpres Andi Tonro Makassar. The sampling technique used is a data source retrieval technique with certain considerations with experimental class and control class samples. The instrument used is a test instrument in the form of essay questions to measure students' short story writing results using the Pretest - Posttest. Based on the research results, it shows that students' ability to write short stories after using the Problem Based Learning learning model in the experimental class is in the high category, namely a posttest result of 90.42. Meanwhile, the average score of the control class posttest results was in the low category, 72.50. It is proven in the management results of the hypothesis that Sig (2. Tailed) = 0.000, meaning that H_0 is rejected because Sig (2. Tailed) < α or (0.000 < 0.05). H_1 is accepted because Sig (Tailed) > α or (0.596 > 0.05). In the analysis of the T Sig <t_tabel or (0.596 <1.746) test, it is concluded that H_0 is rejected and H_1 is accepted, meaning that there is significant effectiveness of the Problem Based Learning model in learning to write short stories for fourth grade students at SD Inpres Andi Tonro Makassar.