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The Social studies has an important role in education, namely understanding the wider social world so that students are able to face the challenges of global issues. This research explores the transformation of social studies learning in the modern era, focusing on contemporary global issues such as climate change, geopolitical conflicts, economic disparities, health problems, and human rights violations. Through a qualitative-descriptive approach and literature study, this research examines the urgency of social studies education transformation in responding to these issues. The results show that social studies education needs to adopt more interactive and technology-based learning methods, integrate character values, improve digital literacy, and incorporate global issues into the curriculum, the key role of teachers as facilitators and continuous evaluation to ensure the effectiveness of the transformation. This study concludes that a comprehensive transformation of social studies learning is essential to prepare the younger generation to be responsible global citizens and able to contribute to a better society.  

In educational research, identifying variables and determining data sources are essential components in designing a systematic and accurate study. Research variables refer to the elements that are observed and measured within a study. These variables can include student achievement, motivation, teaching strategies, or learning environment conditions. Generally, variables are categorized as independent, dependent, control, or moderator variables. The independent variable is the influencing factor, while the dependent variable is the outcome. Control variables are held constant to avoid interference, and moderator variables affect the strength or direction of the relationship. The process of identifying variables begins with formulating the research problem and objectives. By reviewing theoretical frameworks and previous studies, researchers can focus their investigation on measurable aspects. For instance, in a study about the effectiveness of online learning on student performance, the independent variable is online learning, while the dependent variable is student achievement. Beyond identifying variables, researchers must also determine the appropriate types of data sources. Data sources are generally divided into two categories: primary and secondary. Primary data are collected directly from research subjects, such as through interviews, observations, or questionnaires. Secondary data, on the other hand, are obtained from existing sources like documents, books, journals, or official reports. The choice of data source must align with the research approach—quantitative, qualitative, or mixed methods. In quantitative research, primary data such as test scores or survey responses are used to measure variables numerically. In qualitative research, in-depth interviews and observations are commonly used to explore meanings and context. Using both types of data in combination can enhance data validity through triangulation. Ultimately, researchers must ensure the validity and reliability of their data, while also maintaining ethical standards in data collection and reporting. By understanding how to identify variables and select appropriate data sources, educational research can yield credible findings that contribute meaningfully to educational theory and practice.

This research analyzes the efforts of Akidah Akhlak teachers in reducing smartphone addiction through classical guidance services in Islamic religious education (PAI) learning at MTsN 3 Magetan. The method used was qualitative observational, with data obtained through interviews, observation, and documentation. The results show that classical guidance methods such as Team Game Tournament (TGT), Student Teams Achievement Division (STAD), and Jigsaw were effective in fostering student engagement and reducing smartphone use during class. Supporting factors include school regulations, teacher-parent collaboration, and interactive learning environments, though external environmental influences remain a challenge.    

Character-based learning assessment plays a crucial role in shaping the Pancasila Student Profile at the elementary school (SD/MI) level. This study aims to identify effective strategies for collecting character assessment data to ensure that students develop in accordance with Pancasila values. The research methods include analyzing various assessment techniques such as observation, reflection journals, interviews, and scenario-based instruments. Additionally, this study explores the role of teachers, parents, and the school environment in supporting the implementation of character assessment. The findings indicate that effective character assessment must be holistic, involve multiple stakeholders, and be conducted continuously. The main challenges in data collection include time constraints, lack of teacher training in using assessment instruments, and limited use of technology in the assessment process. Therefore, it is recommended that schools adopt a more systematic approach by integrating digital technology, strengthening teachers' capacity through assessment training, and increasing parental involvement in the assessment process. With the right strategies, character assessment can become an effective tool in strengthening the Pancasila Student Profile and shaping a generation that is ethical, independent, and critical-thinking.

Summarizing Arabic texts plays a crucial role in understanding and disseminating knowledge. In Arabic language learning, there is a concept known as Naht, which is the process of simplifying or condensing lengthy and complex texts into a shorter form without diminishing the core meaning contained within them. However, in reality, many students still struggle to summarize Arabic texts due to less interactive teaching methods, resulting in passive attitudes and a lack of self-confidence among students. This study aims to develop more interactive teaching techniques to enhance student participation while supporting their critical thinking skills, particularly in the ability to summarize after reading Arabic texts. This research employs a qualitative approach with descriptive methods through observation, interviews, and documentation. The results show that the application of interactive methods such as group discussions and mind mapping positively impacts students' ability to summarize Arabic texts and develop critical thinking skills. Group discussions help deepen understanding and boost students' confidence, while mind mapping facilitates the identification of core material and makes learning more engaging and easier to remember. This technique has proven effective in improving summarization skills and sharpening critical thinking, thus it is recommended for teachers to implement and further develop it in order to create an optimal learning process for students at Madrasah Ibtidaiyah Izzul Islam.

The issue of waste management remains one of the significant environmental challenges in Indonesia, mainly due to the lack of awareness and understanding from an early age. This article discusses the implementation of a community service program through innovative interactive learning using educational games "Reresik" and "Bersihkan Sampah di Laut" designed to enhance elementary school students' interest and understanding of waste management. The implementation method includes teacher training, the introduction of waste material, the application of educational games, and the evaluation of program effectiveness through satisfaction surveys. The results indicate that game-based learning methods significantly increase student enthusiasm, simplify understanding, and foster positive habits in maintaining environmental cleanliness. Moreover, the training provided to teachers improved their ability to integrate educational technology into the learning process. This program is expected to serve as a sustainable innovative learning model to raise environmental awareness among younger generations.

The urgency to strengthen the pedagogical competence of Islamic Elementary Teacher Education (PGMI) teachers has increased in line with 21st-century learning demands, which emphasize critical thinking, collaboration, and meaningful learning. However, in practice, many PGMI teachers still face significant gaps in understanding and applying constructivist approaches effectively. This article aims to analyze these gaps and evaluate the potential for developing pedagogical competencies within the framework of constructivist theory. This study adopts a qualitative approach using library research methods, gathering secondary data from scholarly literature, educational policies, and previous relevant studies. Data analysis was conducted through content analysis, applying the Miles and Huberman model. The findings reveal a persistent reliance on conventional teaching methods, limited pedagogical literacy regarding constructivism, and insufficient integration of theory into teacher education curricula and training. The study concludes that systemic reforms are required in curriculum design, teacher training, and institutional partnerships to bridge these pedagogical gaps. This article contributes both conceptually and practically to the development of constructivist-based learning models in Islamic elementary education. Field-based follow-up research is recommended to empirically strengthen these findings.

The learning process is the implementation of the curriculum in educational institutions to influence students to achieve predetermined goals. Lack of student enthusiasm in the learning process results in learning outcomes that are not optimal. The purpose of the study was to analyze the influencing factors and teacher strategies in improving the learning outcomes of fifth grade students in Mathematics at Al-Muhajirin Islamic Elementary School. The method used is qualitative. Data collection techniques with observation, interviews and documentation. The research findings show that student learning outcomes at Al-Muhajirin Islamic Elementary School are classified as good, but there are still students with low learning outcomes. This can be seen from the average score of the midterm exam which although it is quite satisfying, but there are students who have not reached the standard of completeness. The research conclusions include the supporting and inhibiting factors for student learning outcomes. Internal supporting factors include motivation and attitude, while external supporting factors come from relationships with parents, teachers and the environment. Meanwhile, internal inhibiting factors are motivation, intelligence, interest and talent, self-confidence, and discipline. External inhibiting factors include family, school and peer environment. The teacher's strategy in improving student learning outcomes is to provide motivation, use varied learning strategies, provide learning methods that are in accordance with the situation and conditions of students and use interesting learning media in accordance with learning materials.

Modernization of education in Islamic boarding schools is an important need to maintain the relevance of learning in the digital era. Salafiyah Islamic boarding schools, which are synonymous with the traditional approach through the study of the Yellow Book, face the challenge of adapting technological developments without losing their scientific character. This research aims to develop a model of curriculum modernization through the integration of deep learning-based digital technology  to improve the effectiveness of learning and the quality of academic evaluation. The methods used include literature studies, observation of the learning process, and trial implementation of digital learning tools equipped with deep learning algorithms  for student ability analysis. The results of the study show that the application of deep learning technology  is able to speed up the competency mapping process, provide automatic feedback on reading and comprehension of classical texts, and assist teachers in monitoring the development of students more accurately. This integration also increases interest in learning and strengthens the mula curriculum system without shifting the traditional values of the Islamic boarding school. Thus, technology-based modernization can be a strategic solution to bridge the classical approach and the needs of 21st century learning in Salafi Islamic boarding schools.

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

This research aims to look at the conditions and situations in the learning process of Islamic Cultural History (SKI) at MTs Negeri 2 Bengkulu City. The research method used by researchers is a qualitative method which explains descriptively about SKI learning in this research using direct observation and interview methods by coming to the research location and directly to the r esearch subjects so that data collection can be carried out more effectively. Researchers found one problem at MTs Negeri 2 Bengkulu City, namely students' learning difficulties which affected students' interest, motivation and learning success. From this research, it was found that what causes learning difficulties for students at Mts Negeri 2 Bengkulu City is related to differences in students with elementary school and SD IT/MI educational backgrounds before entering MTs Negeri 2 Bengkulu City.

This study aims to identify the teaching approach and methods used by teachers at TK Pembina 1 Medan in developing the social skills of children with Autistic Spectrum Disorder (ASD), specifically in the B Inovatif class. This research employed a qualitative approach with data collection techniques including interviews, observations, and documentation. The subjects of the study consisted of two teachers and one child with ASD, identified as Z. The results show that the teacher applies a student-centered learning approach, allowing children the freedom to choose activities that align with their interests and comfort. This approach is intended to facilitate the social development of the child by providing a more enjoyable and meaningful learning experience. Additionally, six teaching methods were employed, namely role-playing, cooperative learning, singing with movement, social activities based on real-life experiences, the use of media such as videos, and storytelling. Although some methods, such as role-playing, are still difficult for children with ASD to follow, the teacher adapts these methods to suit the child's needs and abilities. This study reveals that structured and flexible teaching approaches and methods are crucial in helping children with ASD gradually develop their social skills.

This study investigates the impact of Al-Quran learning strategies using Digital Iqro on the emotional regulation of dyslexic elementary students in Banten. Employing a quasi-experimental design with a quantitative approach, the research involved 100 purposively selected participants. Data were collected via questionnaires and analyzed using SPSS. Findings revealed that in the conventional learning group, the direct Al-Quran learning strategy influenced emotional regulation by 31%, while the indirect strategy had a 40% influence. In contrast, for the digital learning group, the direct strategy showed a moderate impact of 14%, and the indirect strategy showed no measurable effect (0%) on emotional regulation.These results suggest that while conventional methods may have stronger effects, digital strategies still offer moderate benefits and potential. The study contributes valuable insights for educators and policymakers in the context of advancing education within the Society 5.0 era.

This study aims to describe the development of a deep learning-based learning model to improve the speaking skills of students at SMP Muhammadiyah Purworejo. This study uses research and development with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research location was at SMP Muhammadiyah Purworejo in the 2024/2025 Academic Year for class VIII students with a population selection of class VIII students. Meanwhile, the research sample with a purposive sampling technique was 30 students representing diverse speaking abilities. Data were collected through tests, questionnaires, and observations. The test measures speaking skills, the questionnaire collects student responses, and the observation sheet observes the activities of teachers and students during the learning process. Interactive methods were used to analyze the data. The results showed an increase of 11.3 points in pretest data of 28.9 and posttest of 40.2. In addition, the questionnaire and observation showed that both teachers and students showed positive responses to the application of the deep learning model. Therefore, it can be concluded that students of Muhammadiyah Purworejo Middle School can acquire better speaking skills with this model.

This article discusses the evaluation of learning outcomes in Islamic Religious Education (PAI) through a library research approach. Evaluation is a crucial component of the learning process, as it measures the extent to which learning objectives cognitive, affective, and psychomotor have been achieved. In practice, PAI evaluations still tend to emphasize the cognitive aspect, while the affective and psychomotor domains receive less attention. Findings from various literature sources emphasize the importance of holistic evaluation that comprehensively assesses all learning domains. Alternative methods such as observation, portfolios, reflective journals, self-assessment, and religious project-based evaluations are recommended to capture students' learning outcomes more accurately. However, implementation challenges persist, including limited time, insufficient teacher training, and a lack of appropriate evaluation tools. Therefore, this article recommends enhanced teacher capacity-building, supportive policies, and innovation in evaluation systems so that PAI assessment moves beyond administrative formality and effectively fosters students’ Islamic character development in a holistic manner

This study aims to evaluate the effectiveness of the Jarimatika method in enhancing elementary school students’ multiplication skills. The research stems from the issue of students’ limited understanding of multiplication concepts, often caused by monotonous and less engaging teaching methods. A literature review approach was employed by examining eight relevant previous studies. Data analysis was conducted by comparing findings across various sources. The results indicate that the Jarimatika method significantly improves student learning outcomes, both in terms of average scores and mastery levels. Moreover, it boosts students’ motivation and active participation during the learning process, proving effective across different grade levels. The use of fingers as a counting tool helps make the learning experience more tangible, enjoyable, and accessible for students. Therefore, Jarimatika is recommended as a viable alternative strategy for teachers in teaching mathematics at the elementary level, especially for multiplication topics.    

Fun learning can make students like the subject of Islamic Cultural History (SKI). Students' perception of learning Islamic Cultural History (SKI) is a boring subject. The purpose of this study is to describe students' perceptions of Islamic Cultural History (SKI) subjects in the Merdeka curriculum at MAN 2 Bengkulu City. The method used in this study is a quantitative descriptive method. Data collection techniques through observation, questionnaires, and interviews. Data analysis techniques with average tests. The results of this study showed that 21.8% of students did not like the Islamic Cultural History (SKI) lesson due to several factors, namely: 1). Learning methods are less varied, 2). Wide material coverage, 3). Material tends to be memorized. Then 40.6% of students feel uncomfortable in learning Islamic Cultural History which is influenced by: 1). The classroom atmosphere is hot, 2). Classes that are not conducive, 3). Study during the daylight hours.

Education is one of the basic needs in human life which can be said to be good if it is integrated with the needs and developments of the times. Information and communication technology has an important role in the world of education, especially in the learning process. One part of the learning process is evaluation activities. So far, conventional evaluation activities tend to be boring and not innovative. One of the things that can be done to overcome this problem is the development of innovative questions by utilizing information and communication technology (ICT). Therefore, the aim of this community service activity is to improve the ability of teachers in utilizing ICT at Madrasah AIiyah Negeri (MAN) Fakfak in making innovative question instruments using the Hot Potatoes application. This training activity uses lecture, discussion, question and answer and practice methods. Through this training, it is hoped that teachers will have the skills to create innovative question instruments using the Hot Potatoes application. This activity is also expected to improve teachers' abilities in the field of ICT in teaching. Apart from that, this activity is also expected to increase students' motivation in participating in learning evaluations due to innovation in the use of ICT in the learning evaluation process. The results of the questionnaire showed that the teachers were very enthusiastic about the activities carried out and helped them in developing a variety of innovative questions using the hot potatoes application with an average score of 89.78.

The interaction between genetic and environmental factors plays a crucial role in determining phenotypic traits in organisms. This study aims to analyze these interactions using computational approaches, including statistical models and machine learning algorithms. The data used include genetic factors (genotypes) and simulated environmental factors. Results indicate that machine learning models such as Random Forest can detect interaction patterns with high accuracy, as demonstrated by significant R² values. Additionally, heatmap visualizations provide deeper insights into the non-linear effects of genetic-environment interactions. This study highlights the potential of computational methods in exploring complex interactions, with broad applications in health, agriculture, and biotechnology.

Finding out “persepsi santri” at Islamic Boarding School Raudlatul Ulum 1 Putri about the Compulsory Study Hour activity as a self-study method was the aim of this study.  This study employed a qualitative methodology, gathering data through documentation, interviews, and observation.  The findings demonstrated that students benefited greatly from the Compulsory Study Hour exercise, which enhanced their capacity to focus, comprehend the subject matter, and study on their own. However, several problems hindered the Compulsory Study Hour activity, such as tired students, monotonous learning methods, and lack of mentors. To make this activity more effective, it is recommended to add variations in learning methods, provide adequate mentors, and give students sufficient rest time.