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The development of digital technology in the Society 5.0 era presents both challenges and opportunities in history teaching, particularly regarding teachers’ ability to integrate technology and adapt to changes in students’ learning styles. This study aims to analyse the challenges faced by teachers and the strategies employed in digital-based history teaching. The method used is a Systematic Literature Review (SLR) employing the PRISMA approach, involving the stages of identification, screening, eligibility assessment, and inclusion of scientific articles published between 2020 and 2025. From the selection process, 25 relevant articles were identified for qualitative descriptive analysis. The findings indicate that teachers’ digital literacy levels remain at a moderate level and are unevenly distributed, thereby affecting the sub-optimal integration of technology into teaching. Furthermore, changes in students’ learning styles which are increasingly technology-oriented require more interactive and contextual pedagogical innovations. On the other hand, the use of digital media has proven capable of enhancing student motivation and learning outcomes, although this is still hindered by limitations in infrastructure and teachers’ technical competencies. The abundance of historical information on the internet also poses challenges regarding the validity of sources, thus necessitating the strengthening of digital literacy and critical thinking. The implications of this research underscore the importance of the ongoing development of teachers’ digital skills, the improvement of educational facilities, and the implementation of innovative teaching models to ensure that history teaching becomes more relevant and effective, and is capable of fostering critical thinking skills in pupils in the digital age.

The implementation of active learning models such as Problem-Based Learning (PBL) and Project-Based Learning (PjBL) at the junior high school level is often constrained by the complexity of instructional time management. This study aims to examine the role of the principal’s instructional leadership in addressing time management dilemmas in the implementation of active learning at SMP Negeri 6 Panyabungan. A qualitative approach with a descriptive method was employed in this study. Data were collected through non-participant observation and in-depth interviews with key informants, namely the school principal and an Islamic Religious Education (PAI) teacher selected as representatives of field conditions. The findings reveal three main results. First, teachers’ time management constraints are caused by weak control of learning activity transitions, noisy classroom conditions during group division, and low initial student learning readiness. Second, the principal implemented several concrete interventions, including the adoption of block scheduling, clinical supervision focused on classroom management, and the optimization of the Subject Teacher Forum (MGMP) or school learning community. Third, these interventions improved teachers’ instructional efficiency, strengthened classroom activity control, and created a more structured active learning process. However, sustainability challenges remain, particularly resistance from senior teachers who tend to prefer conventional teaching methods. This study concludes that adaptive and solution-oriented instructional leadership is a key factor in addressing the complexity of time management constraints in active learning implementation.

The policy to implement the deep learning approach in Indonesian schools starting from the 2025/2026 academic year requires teachers to be well prepared to design and conduct meaningful and in-depth learning. This community service program aimed to enhance the understanding and pedagogical competence of senior high school and madrasah economics teachers in Tasikmalaya City in implementing the deep learning approach comprehensively. The program employed a community-based science and technology application scheme through training and mentoring activities conducted in face-to-face, online, and hybrid modes, consisting of planning, implementation, and evaluation stages. The training materials covered the concept and implementation of deep learning, lesson planning, instructional design and models, learning evaluation, development of innovative technology-based learning media, and reinforcement of microeconomic and macroeconomic content. A total of 78 economics teachers participating in the MGMP of Tasikmalaya City were involved in the program. The results indicate that the training improved teachers’ understanding of deep learning, lesson planning, and assessment strategies that support meaningful learning. Participants’ reflections revealed high motivation and strong relevance of the training materials to their professional duties. This program contributes to strengthening teachers’ readiness to implement deep learning sustainably and supports the improvement of economics learning quality in schools.

Teaching fiction in Indonesian language classrooms is often constrained by text-centered instruction and limited use of engaging digital media. In the era of Generation Z learners who are visually and digitally oriented, innovative learning materials are needed to enhance motivation, interpretation, and comprehension of literary texts. This study aims to develop and evaluate a Scribus-based digital magazine for fiction learning by integrating the ADDIE model within a qualitative descriptive framework. The research adopted a qualitative descriptive design comprising five stages of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at SMP Negeri 10 Semarang, involving one Indonesian language teacher and fifteen Grade VIII students, who were selected through purposive sampling. Data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model (data reduction, data display, conclusion drawing). Media and content experts conducted validation to assess the feasibility, usability, and pedagogical quality of the content. Findings revealed that the Scribus-based learning media effectively increased students’ engagement and comprehension in analyzing fictional elements such as plot, character, and setting. Expert validation results indicated a high feasibility level, with mean scores above 85% in design and content quality. Teachers reported improved classroom interaction and creativity, while students expressed enthusiasm for the visual and interactive format. The study concludes that open-source tools, such as Scribus, can provide cost-effective and pedagogically sound alternatives for developing literary learning media. The integration of ADDIE and multimodal design promotes contextual, engaging, and sustainable learning experiences. Future research should explore multimedia enhancements, such as audio storytelling and cross-curricular applications, to broaden the pedagogical impact.

The transformation of history learning in the context of 21st-century education aims to prepare students to face the challenges of an increasingly complex and dynamic world. The concept of 21st-century learning emphasizes the development of critical, collaborative, and creative skills, which are highly relevant to studying history. History learning in the 21st century must include a more interactive approach, utilizing technology as a tool to deliver historical material in a more engaging and relevant manner. Through innovative models such as project-based learning and inquiry learning, students can be more actively involved in the learning process, not only receiving information but also developing the ability to analyze, evaluate, and draw conclusions from various historical sources. Technology supports the creation of more engaging learning experiences, such as the use of multimedia, simulations, and other digital resources. Furthermore, teachers play a role as facilitators, helping students build historical awareness, guiding them in seeking information, and developing critical thinking skills. However, the implementation of this learning model faces various challenges, such as limited technological infrastructure and a lack of teacher training. Therefore, efforts are needed to strengthen teacher competencies and adapt the curriculum to be more adaptive to changing times.

This article discusses the modernity of educational instruments, along with the phenomenon of technological progress, particularly the emergence of artificial intelligence (AI), and its implications for educators in the 21st century. Rapid advances in AI have led to fundamental shifts in teaching strategies and resources, shifting from traditional models to personalized and adaptive learning environments. Through automated assessments, curriculum customization, and the implementation of virtual assistants that enhance accessibility, artificial intelligence (AI) in education aims to improve efficiency and effectiveness. However, this modernity requires educators in the 21st century to change. Teachers now play the role of facilitators, designers of learning experiences, and mentors in ethics, in addition to being providers of knowledge. Teachers need to master AI literacy and focus on teaching students the four Cs of the 21st century: communication, creativity, critical thinking, and teamwork. The integration of AI raises ethical issues related to data privacy, the digital divide, and the dangers of plagiarism, but it also offers significant potential. Therefore, the effective integration of AI technology with irreplaceable human qualities is crucial for the success of contemporary educational technology. AI is an important tool for educators in the 21st century to develop a generation of technologically literate and moral individuals.

Education is a comprehensive process aimed at developing human quality, in which the success of learning largely depends on the implementation of appropriate instructional strategies. Learning strategies serve as a guide for educators in managing the interaction between teachers, learners, materials, and the learning environment to achieve educational goals effectively and efficiently. This study aims to describe the objectives of learning strategies in improving learning quality and to explain how relevant learning models can be applied based on students’ characteristics and learning contexts. This research employs a qualitative approach using a literature review method by analyzing various theories and previous studies related to learning strategies and educational quality improvement. The findings indicate that learning strategies play a central role in creating active, creative, and meaningful learning processes. The application of several models such as cooperative learning, inquiry learning, contextual teaching and learning, project-based learning, and discovery learning has been proven to enhance students’ motivation, engagement, and learning outcomes in cognitive, affective, and psychomotor domains. Therefore, systematically designed and adaptive learning strategies that focus on students’ potential are the key to improving learning quality and achieving comprehensive educational objectives.

This study explores the function of the scientific approach and learning assessment as elements that strengthen the quality of education through a structured literature review. The review of various sources shows that the continuous application of the scientific method has a positive effect on improving students’ critical thinking, creativity, learning independence, and character development. Findings from several studies over the past decade support the effectiveness of implementing the scientific method at various educational levels, despite challenges such as limited time and learning resources. In addition, comprehensive learning evaluation not only measures final outcomes but also considers context, input, and process (CIPP model), thereby enhancing the relevance of learning objectives and student motivation. The literature review also highlights the importance of guidance and counseling (GC) as an integrative component that supports students’ academic, social, personal, and character development at both primary and secondary education levels. However, some studies identify challenges in implementation, such as students’ low reading interest and the dominant role of teachers, which can be addressed through STEM-based and blended learning models. Overall, the integration of GC with learning evaluation has the potential to realize holistic education that balances intellectual, emotional, social, moral, and spiritual intelligence, while preparing students to contribute effectively to society and the future workforce. These findings encourage the development of educational policies and learning practices that are more process-oriented, context-based, and focused on the holistic development of student competencies.

This community service activity aims to provide outreach and training related to the use of Artificial Intelligence (AI) in developing engaging, interactive, and effective learning tools for teachers in TKIT, SDIT, and SMPIT Darut Tauhid in Grobogan Regency. This service was carried out on June 11, 2025, using a qualitative approach through various methods, including presentations, interactive discussions, workshops, and direct practice in the use of AI technology. This activity emphasized improving teachers' skills in integrating AI technology into the learning process so that it can support the creation of a more innovative learning atmosphere and suit the needs of students in the digital era. The results of the activity showed a significant increase, both in terms of efficiency and quality. Teachers were able to save up to 70% of time preparing learning tools, produce more varied and engaging learning media, and show higher motivation in adopting digital technology to support the teaching and learning process. The three main tools introduced, namely ChatGPT, Claude, and Canva Magic Design, have been proven to help teachers in creating materials, designing media, and managing learning more effectively. The positive response from training participants also confirmed that the use of AI has significant potential for wider implementation in Islamic educational institutions. Therefore, this activity not only contributes to improving teacher competency but also opens up opportunities for developing technology-based learning models relevant to future educational challenges.

This research examines the process of internalizing civic values within the context of multicultural education in Indonesia, which faces complex challenges in forming citizens with strong national identity while appreciating diversity. The study aims to analyze effective models and strategies for internalizing civic values in multicultural educational environments and identify implementation challenges. The research methodology employs a qualitative approach with literature study analyzing relevant academic publications from 2021-2025 through qualitative content analysis techniques. Findings indicate that internalizing civic values in multicultural education requires a holistic approach integrating cognitive, affective, and behavioral dimensions through learning strategies based on local wisdom, modern technology utilization, and transformative pedagogy. Main challenges include lack of stakeholder support, policy implementation gaps, and resistance to learning paradigm changes. The research indicates the need for reconstructing civic education paradigms from indoctrination models toward reflective-contextual learning that emphasizes tolerance, inclusivity, and appreciation for cultural diversity. Research implications emphasize the importance of synergy between educational policies, teachers' roles as transformation agents, and continuous evaluation to realize civic education responsive to the challenges of Indonesia's multicultural society

The RADEC (Read, Answer, Discuss, Explain, and Create) learning model is an innovative approach that aims to improve students' critical thinking skills in elementary schools. This study aims to explore the effectiveness of implementing the RADEC model in the context of elementary school learning and its impact on the development of students' critical thinking skills. The RADEC approach emphasizes active student involvement through five main stages: reading to build initial understanding, answering questions to test reasoning power, discussing to broaden perspectives, re-explaining concepts to deepen understanding, and creating products or solutions as a concrete manifestation of the critical thinking process. This study used a quantitative method with a quasi-experimental design and involved fifth grade students in a public elementary school. The instruments used were critical thinking tests and student activity observation sheets. The results showed that the implementation of the RADEC model significantly increased students' critical thinking skill scores compared to conventional learning models. In addition, students showed higher enthusiasm and learning independence during the learning process. These findings indicate that the RADEC model is not only able to build a stronger understanding of concepts but also encourages students to actively analyze, evaluate, and create ideas. Therefore, the RADEC model is recommended as an effective alternative learning strategy to improve the quality of learning and critical thinking skills of students at the elementary school level.

Artificial Intelligence (AI) in learning can serve as a tool for students to acquire knowledge. However, the understanding and use of AI in education still face various challenges. Some universities have started integrating AI learning into their curricula, but its implementation remains limited and uneven across different institutions. Additionally, the level of AI literacy among students in Indonesia is still relatively low. Adequate AI literacy is crucial for students to optimize the use of this technology without excessive dependence and to understand its ethical implications.This research aims to assess students' understanding of AI literacy and explore how AI literacy education can be integrated with the European model. A mixed-method approach is used in this study, combining quantitative research through questionnaires and qualitative research through interviews. The results indicate that students in Indonesia have a fairly good understanding of AI literacy. However, several challenges remain, including students' dependence on AI and ethical issues related to its use.Therefore, collaboration among various stakeholders, including universities, the government, and industry, is essential to enhance students' AI literacy skills. Efforts can include training programs, providing access to AI resources, and adopting AI-based learning models that have been implemented in Europe. Through these measures, it is expected that students' AI literacy will improve, supporting the advancement of technology-based education in Indonesia.

Teenagers today are filled with a number of rapid technological changes and developments. From a financial perspective, teenagers at this stage have a growing ability to understand the principles of saving and spending money, not only the basics, but also long-term goals. The three main areas that parents should focus on are income, savings, and responsible spending (shopping or investment). Problems that often occur in society (including teenagers) are such as wasteful living (lifestyle), online loan debt, and being trapped in online gambling. The emergence of several entertainment venues, cafes, and angkringan makes spending difficult for teenagers to control. The methods used in this service are lectures, simulations, discussions and questions and answers regarding the usefulness and benefits of understanding financial literacy. The results of this service show the different nature and patterns of financial management of teenagers requiring presentation patterns that need to be adjusted. In the implementation of the activity, there were participants (some) who were more enthusiastic or serious about this series of training. Presenters (speakers) require the application of andragogy model learning. This model is intended so that the presenter (material provider) and participants are not bored, comfortable in communicating and feedback appears quickly. In the future, training or workshops will be more directed to more technical or specific, for example capital market investment, mutual funds or other investment models.

This study aims to analyze the implementation of the Kurikulum Merdeka (Freedom Curriculum) in developing students' attitudes and values at the junior high school level. The Kurikulum Merdeka, which focuses on student-centered and project-based learning, provides teachers with flexibility to integrate Pancasila values, such as mutual cooperation, justice, and tolerance, into learning activities. The findings indicate that this approach positively impacts students' curiosity, creativity, responsibility, as well as critical thinking and collaboration skills. Teachers play a crucial role as facilitators and role models, creating an inclusive and relevant learning environment tailored to students' needs. However, the implementation of the Kurikulum Merdeka faces challenges, including the readiness of human resources and infrastructure support. This study concludes that the Kurikulum Merdeka holds significant potential to shape students with strong character and global relevance, provided it is supported by collaboration among teachers, families, and communities.

Technological advancements have brought significant transformations across various fields, including the application of machine learning in recommendation and classification systems. Machine learning leverages data processing, utilizes algorithms, and efficiently identifies patterns to produce accurate recommendations and predictions. This study aims to review machine learning-based recommendation system approaches, analyze model performance, and compare the algorithms used. A literature review was conducted by examining journals published in the past five years, focusing on algorithm implementation. The findings indicate that the Naïve Bayes algorithm delivers the best performance, achieving an accuracy of up to 97%. This algorithm is particularly well-suited for processing small to medium-sized datasets with high efficiency. The research provides comprehensive insights into the performance and limitations of various algorithms, serving as a valuable guide for future developments in the field.

This research is based on the importance of learning realistic mathematics in mathematics. The purpose of this study is to determine the implementation of learning by using realistic mathematics learning models in improving the mathematical understanding of students of class VI MIN 2 Mataram City. PMR is a learning approach to mathematics that involves the reality and experience of students. In mathematics learning students are required to be more active in finding and finding solutions to a problem, so that learning that occurs will be centered on students. The research method used is a qualiative method for collecting data through observation, interviews and documents. The results showed that the application of realistic mathematics learning was effective in increasing students' mathematical understanding in the discovery of mathematical concepts through contextual learning and relevant to daily life. Thus, this research provides a significant involvement in understanding the role of PMR in increasing the mathematical understanding of students as well as part of an effective mathematical learning approach.

At SMP Negeri 2 Gucialit, teachers have difficulty designing and implementing learning models that can develop students to have skills in critical thinking and problem solving, creative thinking skills, communication skills, and collaboration skills. The aim of this community service is to expand understanding of concepts and improve the skills of Junior High School teachers in designing project-based learning through lesson study. The method used in community service consists of three stages, namely preparation, implementation and evaluation. In the preparation stage, field survey activities and coordination with service partners were carried out. At the implementation stage, material is provided, practice is carried out in developing project-based learning teaching modules through lesson study and discussion. At the evaluation stage, an assessment of the results of the activities was carried out using a questionnaire distributed to participants by the community service team. Based on the results of the questionnaire, it shows that the percentage of answers achieved was 59.3% strongly agree with the benefits of this activity, 37% agree, 3.7% neutral, and there were no answers strongly disagree or disagree. This shows that this service activity increases the understanding of the concepts and skills of Junior High School teachers in designing project-based learning through lesson study. Apart from that, this community service activity produces project-based learning teaching module products and aquascape learning media.

Religious moderation in early childhood is an effort to instill moderate religious values ​​in children from an early age. These values ​​include an attitude of tolerance, being fair, balance and also an attitude of equality. One way to instill the values ​​of religious moderation in young children is through the habituation method. This research aims to find out how the habituation method is implemented in instilling the values ​​of religious moderation in early childhood at Kartika Kindergarten Banda Aceh. What will be discussed in this research is how to implement the habituation method in instilling the values ​​of religious moderation in early childhood at Kartika Kindergarten Banda Aceh. This research uses descriptive qualitative research. Data collected through interviews and documentation. The data obtained will be analyzed descriptive qualitatively. The research results showed that the forms of implementation of the habituation method in instilling the values ​​of religious moderation in Kartika Kindergarten Banda Aceh were ablution, prayer practice, repeating and memorizing short surahs and daily prayers, introduction to places of worship from various religions. Apart from that, learning is carried out by instilling values ​​such as honesty, courtesy, mutual help and mutual respect. The steps for implementing the habituation method in instilling the values ​​of religious moderation in children at Kartika Kindergarten Banda Aceh include teachers as models, preparing learning tools, involving parents, holding religious activities.

This study is motivated by the limited research on holistic education in developing 21st-century skills to address the challenges of the digital era, despite its significant implications for future human resource quality. The objective of this research is to explore the concept of holistic education based on 21st-century skills and its relevance in the digital era through a literature review approach. The method employed is qualitative, focusing on an analysis of academic literature, including documents, journals, books, and various scholarly sources. The analysis was conducted thematically to investigate the principles, models, and practices of holistic education that support the development of critical thinking, creativity, communication, and collaboration skills. The findings indicate that holistic education can serve as a key approach to prepare younger generations to navigate the complexity of the digital era with adaptive, ethical, and innovative thinking skills. This review enriches the literature on holistic education and highlights the importance of an integrated approach that intertwines cognitive, emotional, social, and technological dimensions within the context of modern learning. Practical implications include recommendations for educators and policymakers to design curricula based on 21st-century skills and integrate digital technologies into building holistic learning processes. This study also offers opportunities for further research on the implementation of holistic education in diverse cultural and geographical contexts.

The rapid spread of infectious diseases remains a major global health threat, and early detection is vital to minimize their impact. This research investigates the role of predictive modeling using big data in the early detection of infectious disease outbreaks. The primary objective of this study is to assess the effectiveness of big data systems in forecasting potential outbreaks and the implications of these forecasts for public health systems. The study employs machine learning-based predictive models to process large health datasets, including electronic health records, sensor data, and social media information. The results demonstrate that the predictive model achieved an accuracy rate of 87%, significantly surpassing traditional methods in terms of early detection. By integrating various data sources such as medical records, sensor networks, and real-time digital traces, the system is capable of providing more accurate, timely predictions, which can greatly improve the ability of public health authorities to respond effectively to emerging health threats. Furthermore, the application of big data in public health not only improves the speed of response but also enhances the allocation of resources, allowing for more targeted and efficient interventions. Despite these successes, challenges remain, particularly in relation to data quality, privacy, and regulatory issues, which could hinder the broader implementation of such systems. Thus, collaboration between government agencies, healthcare institutions, and technology developers is essential to overcome these obstacles and ensure the sustainable integration of big data into public health infrastructures. This research highlights the significant potential of big data to transform public health responses, offering valuable insights for future epidemic management strategies.