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The RIGEM community service program was carried out with the aim of strengthening character education for early childhood through the use of children’s songs in TK B. The background of this activity stems from concerns about the increasing exposure of children to adult songs and content, which may influence their behavior and moral values. Children’s songs were chosen as the main medium because they have simple melodies, easy-to-remember lyrics, and contain positive values that can stimulate children's cognitive, affective, and social development. This study employs a descriptive qualitative approach using the CIPP evaluation model (Context, Input, Process, Product) to assess the effectiveness of the program. Data were collected through observations, interviews with teachers and parents, and documentation of activities. The results show that the children’s songs introduced particularly those containing messages about politeness, cooperation, and responsibility were effective in improving children's understanding of moral values and encouraging positive behavioral changes. Children became more accustomed to using polite expressions, showing empathy, and cooperating during classroom activities. Teachers and parents played an important role in reinforcing these habits both at school and at home. Overall, the RIGEM program proved to be an effective, enjoyable, contextual, and easily implemented effort to foster character development in early childhood education.

General education at Islamic Religious Higher Education Institutions (PTKI) plays an important role in developing students’ critical thinking skills so they can analyze religious and social issues reflectively and contextually. However, learning practices in PTKI are still dominated by teacher-centered approaches and low cognitive achievement, which limits the development of analytical, evaluative, and problem-solving abilities. Meanwhile, studies show that integrating digital media, particularly video, can improve conceptual understanding, motivation, and cognitive engagement, yet a digital video-based meaningful learning model specifically designed for the PTKI context remains limited. Therefore, this study aims to formulate a Digital Video-Based Meaningful Learning Model (MPBBVD) to enhance students’ critical thinking skills. This research employed a literature review method by analyzing books, scientific articles, research reports, and digital sources related to meaningful learning, constructivism, multimedia learning, digital video use, and critical thinking development. Data were analyzed descriptively and qualitatively to identify the theoretical foundations, learning syntax, and design principles of the model. The findings indicate that MPBBVD integrates Ausubel’s Meaningful Learning theory, constructivist perspectives from Piaget, Vygotsky, and Bruner, Mayer’s Multimedia Learning theory, and the critical thinking framework of Facione and Ennis. The model uses digital video as the main learning medium and applies the ACTIVE stages (Attend, Connect, Think, Interpret, Verify, Evaluate) to promote contextual and interactive learning. Integrating pre-, during-, and post-video activities supports knowledge construction, reduces cognitive load, and increases student engagement, contributing theoretically and practically to improving critical thinking in PTKI in the Industrial Revolution 4.0 era.

The implementation of the eighth-grade Christian Religious Education teaching module on the topic "Love as the Foundation of a Believer's Life" was carried out as an effort to provide an active, reflective, and contextual learning process in accordance with the principles of the Independent Curriculum. Learning is designed through an interactive approach with discussion activities, analysis of biblical texts, case studies, problem-solving, and personal reflection that provide opportunities for students to construct understanding independently. Through these activities, students are guided to understand the concept of agape love as sincere love, giving without expecting anything in return, and is manifested in concrete actions towards others. The implementation results show that this teaching module is able to improve students' conceptual understanding of the meaning of love from a biblical perspective and its relevance in modern life. Students appear to be increasingly confident in expressing opinions, are able to work together in groups, and are actively involved in learning activities. In addition, the emergence of attitudes of empathy, tolerance, and habits of helping each other are indicators that the value of love is not only understood cognitively, but also internalized in behavior. This teaching module also contributes to improving students' critical thinking skills and spirituality through reflection activities that invite them to evaluate acts of love in daily life at school, family, and society.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

This study aims to explore the effectiveness of an integrated Islamic learning model in optimizing intellectual (IQ), emotional (EQ), and spiritual (SQ) intelligence in early childhood at an integrated Islamic Early Childhood Education (PAUD) in Kotabumi. The study used a qualitative method with a case study approach. Subjects included teachers, parents, and children aged 4–6 years, while data were collected through participant observation, in-depth interviews, and learning documentation. The results indicate that the integrated Islamic learning model positively influences the development of children's IQ, EQ, and SQ. Activities such as reading the Hijaiyah alphabet, Islamic logic games, and Quranic stories enhance children's cognitive skills. Activities based on Islamic values, such as moral stories, empathy exercises, sharing, and group work, strengthen emotional intelligence, while prayer, Surah memorization, and the Prophet's example foster spiritual intelligence. The holistic integration of these three dimensions of intelligence creates intelligent, emotionally mature, and spiritually strong children.

Indonesia’s projected demographic bonus around 2045 must be harnessed as an advantage rather than becoming a burden. This potential benefit is highly dependent on the quality of human resources prepared from the present time. One of the key national programs in this regard is embodied in the vision of Indonesia Emas 2045. An interesting phenomenon can be observed in Cibeber District, Cilegon City, where the prevalence of stunting was once relatively high. This issue warrants serious attention as it directly affects children’s physical growth and cognitive development.This study analyzes strategies for ensuring adequate nutritional fulfillment as an effort to improve the quality of the golden generation. By employing SWOT analysis, several strategic alternatives were identified, including SO (strength–opportunity), WO (weakness–opportunity), ST (strength–threat), and WT (weakness–threat) strategies. The most critical recommendation highlights the importance of cross-sectoral collaboration and participatory involvement of all stakeholders.

This study examines how AI-driven personalized learning is reshaping educational psychology and pedagogical innovation across global learning environments. Using a qualitative methodology supported by library research and content analysis, the article synthesizes contemporary literature on adaptive learning systems, intelligent tutoring technologies, and real-time feedback mechanisms. Findings reveal that AI significantly reconfigures cognitive processes by providing individualized learning pathways, dynamic assessments, and continuous feedback that strengthen metacognitive skills and learner autonomy. The study further identifies the transformative role of AI in redefining student motivation, reinforcing self-regulated learning, and enhancing engagement through adaptive challenges and gamification elements. Pedagogically, AI shifts teachers’ professional identities toward roles as facilitators, data interpreters, and learning designers, underscoring the need for robust digital literacy and ongoing professional development. Additionally, AI implementation is shaped by cultural nuances and equity concerns, particularly regarding access, inclusivity, and algorithmic fairness. Ethical considerations related to data privacy, transparency, and student well-being are essential for sustainable AI integration. Overall, this study highlights AI’s potential to advance personalized learning while emphasizing the need for ethical, human-centered frameworks that protect learners and ensure equitable educational transformation.

This study aims to implement and evaluate the effectiveness of a learning module designed for X grade students (Phase E) at SMAN 4 Palangkaraya, focusing on the Christian values of love, justice, and tolerance within the framework of the Merdeka Curriculum. The implementation involved classroom teaching using lectures, group discussions, and quizzes to foster active and meaningful learning experiences. The objectives included ensuring students' understanding of the core values, developing their ability to articulate these values, and achieving a minimum score on quizzes. The methodology included direct teaching, observation of student responses and engagement, and evaluation of learning outcomes through cognitive and affective assessments. Findings revealed that 90% of students actively participated in discussions, and all groups engaged in answering quiz questions. The use of rewards notably enhanced student enthusiasm and participation. Despite the overall success, some students did not achieve the highest performance level. The implications suggest that integrating technology into the learning process and thorough preparation of teaching materials are crucial for enhancing student outcomes. This study contributes to the understanding of how Christian values can be effectively integrated into the curriculum to promote holistic student development, aligning with the Pancasila Student Profile, which emphasizes faith, moral integrity, global diversity, and collaboration.                                                                     

This research is motivated by the increasing amount of waste caused by high levels of public consumption, limited waste management facilities, and low environmental awareness. Lyfe With Less, an eco-friendly community, utilizes the function of Public Relations to deliver information and raise public awareness. This study aims to (1) identify the #SalingSilang campaign message conducted by Lyfe With Less, (2) examine the attitudes of Instagram followers of @lyfewithless toward the campaign, and (3) measure the influence of the #SalingSilang Public Relations campaign message on followers’ attitudes. The research applies the Campaign Message Design Theory, which includes message content, structure, and framing, as well as the Attitude Component Theory, which covers cognitive, affective, and conative aspects. A quantitative approach was used with a survey method by distributing questionnaires to 81 respondents selected randomly through probability sampling. The results show that the #SalingSilang campaign message received positive responses and had a significant and strong influence on followers’ attitudes. Within the Public Relations campaign message, the key message was found to be the most influential factor in the message content dimension, while in followers’ attitudes, the conative component showed the greatest change, particularly in reducing overconsumption and encouraging the optimal use of products.

This study examines the emerging paradigm of federated intelligence architectures as a secure, privacy-preserving, and scalable foundation for data-driven innovation across AI, IoT, and cloud ecosystems. With billions of interconnected devices generating massive heterogeneous data, traditional centralized machine-learning models face critical limitations, including privacy risks, regulatory constraints, latency, and single points of failure. Through a qualitative content-analysis approach, this paper synthesizes contemporary research on federated learning, blockchain integration, zero-trust governance, and edge intelligence to formulate a comprehensive understanding of distributed AI infrastructures. The findings highlight that federated learning enables collaborative model training without exposing raw data, significantly enhancing privacy, security, and compliance. Moreover, combining blockchain with federated learning strengthens auditability, model integrity, and trust, while zero-trust principles provide continuous verification and adaptive security enforcement across devices. Edge-AI integration further reduces latency and bandwidth consumption, enabling real-time analytics in resource-constrained IoT environments. Collectively, these elements contribute to the formation of cognitive ecosystems capable of autonomous, interoperable, and context-aware operations. The study underscores the transformative potential of federated intelligence while identifying critical gaps that inform future research trajectories.

This study develops an architectural design framework integrating fun and playful spatial characteristics with futuristic, science-based approaches to enhance children’s engagement with science and technology learning. Traditional learning environments are often rigid and fail to stimulate curiosity, especially among children aged 7–11. Utilizing a qualitative conceptual analysis, this research synthesizes architectural theory, neuroscience learning principles, children’s spatial psychology, and science-based design methodologies. The results show that playful spatial elements—dynamic forms, color contrasts, sensory interactions, and imaginative environments—significantly improve motivation, exploration, and conceptual understanding. Futuristic design components further support scientific literacy by projecting technological possibilities and integrating interactive digital tools. The study produces a conceptual architectural model linking playfulness, scientific experience, and future-oriented visualization. It concludes that learning environments must be intentionally designed to merge emotional engagement, cognitive stimulation, and technological representation. The implications extend to the design of children’s museums, science centers, and early STEM learning facilities.

This study explores the relevance of Imam Al-Ghazali’s educational philosophy to contemporary Islamic education in responding to current moral, social, and educational challenges. Using a library research method, the study systematically examines Al-Ghazali’s views on educational goals, curriculum orientation, the role of teachers, and instructional methods, and then contextualizes these perspectives within the dynamics of modern educational systems. The analysis highlights how Al-Ghazali’s educational thought addresses issues related to moral decline, character formation, and the imbalance between intellectual achievement and ethical development in present-day education. The findings show that Al-Ghazali’s emphasis on integrating knowledge and character, balancing cognitive, affective, and psychomotor aspects, and highlighting the teacher’s role as a moral exemplar remains highly applicable today. His educational framework which prioritizes spiritual development, moral formation, self-discipline, and closeness to God offers a strong, comprehensive, and relevant foundation for renewing Islamic education in the modern era and for fostering holistic learners with intellectual competence, ethical awareness, and spiritual integrity.

This study evaluated the effectiveness of the JKN Mobile interface using Nielsen’s Usability Heuristic Principles to identify issues that affect clarity, consistency, and user navigation. The research applied a descriptive qualitative approach through interface observation and visual analysis, focusing on typography, layout, color usage, iconography, and feedback mechanisms. The findings showed that several essential elements of system status were not clearly presented, such as loading indicators, data update information, and synchronization cues. Inconsistencies in icon style, visual hierarchy, and button functions further reduced predictability and increased the cognitive load on users. Some screens also displayed incomplete content and unclear action mapping, which disrupted task flow. The study concludes that improving visual hierarchy, standardizing interface components, refining navigation paths, and providing clearer feedback can strengthen usability and support the application’s role as an accessible digital public service.

This research examines the mentoring of nationalistic activities by students from the Al-Azhar Menganti Gresik Institute and field supervisors at MI Darunnajah Lebani Suko, Wringinanom District, Gresik Regency, in commemoration of Heroes' Day. Thru a descriptive qualitative approach, this program involves four main activities: the red and white parade, patriotic love songs, little warrior strokes (coloring and writing hero stories), and a colossal drama of patriotic fervor. These activities are creatively designed and based on direct experience to instill nationalistic values in elementary school students. The research results show a significant improvement in students in terms of courage, discipline, creativity, cooperation, and respect for national symbols such as the flag and national anthem. Collaboration between students as facilitators, teachers as pedagogical directors, and the school environment creates a conducive learning ecosystem where participatory methods are more effective than conventional approaches. This experiential learning approach not only enhances cognitive understanding of the struggles of national and local heroes but also builds emotional empathy and social skills. Positive impacts include high student enthusiasm, reduced learning boredom, and character strengthening in accordance with the Pancasila Student Profile, such as mutual cooperation and integrity. Overall, this mentoring program serves as a relevant model for non-formal character education that can be replicated in other schools to strengthen nationalism from an early age amidst the challenges of post-pandemic globalization and individualism.

In today's digital era, the dance learning process is no longer limited to conventional studios. Various technologies, ranging from instructional videos and interactive media to virtual reality, are increasingly being utilized in dance education. Through a systematic literature review (SLR), this study examines the effectiveness of various dance learning tools based on empirical findings and development studies. This study compiles, compares, and summarizes research findings on the use of various media (such as video, VR, interactive PowerPoint, and augmented reality) and their impact on several aspects, including material comprehension, movement skills, aesthetic appreciation, and student engagement. The analysis shows that digital technology can improve dance learning outcomes across the cognitive, psychomotor, and motivational domains. However, challenges such as limited technological facilities and the need for teacher training still need to be addressed. This study also provides recommendations for educators and dance learning developers to integrate technology in harmony with appropriate pedagogical approaches.

Cognitive concentration constitutes a pivotal determinant within the educational process; when an individual exhibits impaired attentional capacity, the instructional input received is unlikely to be effectively encoded into neural pathways or long-term memory, thereby rendering the expenditure of effort, time, and resources essentially futile. This investigation sought to elucidate the associative dynamics among breakfast consumption patterns, levels of physical activity, and sleep quality in relation to academic concentration among students in Grades X and XI within the North Bogor District. Employing a cross-sectional methodological framework, the study encompassed 101 participants whose selection adhered to an observational analytic approach. Empirical data pertaining to breakfast behavior, physical activity, sleep quality, and concentration performance were acquired through standardized self-administered questionnaires. Analytical procedures were conducted using the chi-square statistical test. The inferential findings demonstrated a statistically significant association between breakfast habits (p = 0.002) and sleep quality (p = 0.008) with learning concentration, whereas physical activity exhibited no significant correlation (p = 0.831). Accordingly, the study substantiates that breakfast regularity and sleep quality are meaningfully interrelated with students’ concentration levels, while physical activity does not manifest a measurable relationship with concentration outcomes

The current practice of Islamic Religious Education (PAI) learning in schools still faces the challenge of the dominance of conventional methods that tend to be teacher-centered, so that the aspect of internalization of values by students is often not optimal . This article aims to describe the characteristics and conceptual relationships between the Social Interaction and Personal learning models in the context of PAI, while also examining the relationship between the two models with constructivist and humanistic learning theories . Through a literature study, the analysis shows that the Social Interaction model based on constructivist theory emphasizes the construction of knowledge through group dynamics, collaboration, and social interaction . Meanwhile, the Personal model based on humanistic theory is oriented towards the development of individual potential, self-awareness, and spiritual reflection . The results of the study conclude that the integration of these two models offers a holistic learning approach, where students not only understand PAI material cognitively, but are also able to actualize religious values through real social experiences and deep personal appreciation .

In the era of globalization, language proficiency in early childhood is crucial for supporting their cognitive and social development. At RA Masjid Al Akbar Surabaya, a bilingual program (Indonesian-English) is implemented for Group B to optimize children's language skills. This study aims to analyze the impact of the bilingual program on children's speaking, listening, and language comprehension aspects. The research method used is descriptive qualitative, with data collection techniques through observation, interviews with teachers and parents, and documentation. The subjects of the study are children in Group B who participate in the bilingual program. The results show a positive impact of the bilingual program on children's language development. Children are able to interact actively in both languages, both in speaking and listening, and show improvements in language comprehension. This bilingual program has proven effective in enhancing children's communication skills and supporting holistic language development from an early age. Therefore, the bilingual program at RA Masjid Al Akbar can be used as a model for developing language skills in early childhood to prepare them for the challenges of globalization in the future.

This study critically examines the effectiveness of early intervention programs in addressing war-related trauma in the Middle East by meta-synthesizing forty-seven interventions implemented between 2010 and 2024. The analysis demonstrates that cognitive behavioral therapy (CBT) based interventions achieved a success rate of 78.3 percent with p value less than 0.001 in reducing post-traumatic stress disorder symptoms, with an effect size of d equal to 0.86 indicating substantial therapeutic strength. Group based interventions showed higher effectiveness (83.2 percent) than individual approaches (71.5 percent), and programs involving family support yielded better recovery outcomes (84.7 percent) than those without family involvement (69.3 percent). Regression analysis identified three primary predictors of successful intervention outcomes, namely intervention duration (beta 0.42, p value less than 0.001), therapist cultural competence (beta 0.38, p value less than 0.001), and the integration of social support systems (beta 0.35, p value less than 0.001). These findings expand on prior studies by Ennis et al. (2020) and Mawar et al. (2025), which were limited to evaluating CBT effectiveness, and also reinforce the significance of cultural dimensions and social support systems as critical determinants. In contrast to the meta analysis by Nocon et al. (2017), which reported an effectiveness rate of 65 percent for individual interventions, the present study reveals the superiority of group based approaches in communal Middle Eastern societies. The novelty of this study lies in its comprehensive identification of culturally sensitive determinants of early intervention success and the formulation of an integrative model positioning family support as an essential component in protocols for war-related trauma care.

Mathematics is often considered one of the most challenging subjects because it requires strong spatial and cognitive abilities, especially in geometry, which involves three-dimensional concepts. Traditional teaching methods, such as textbook illustrations and verbal explanations, are often insufficient to help students understand abstract geometric concepts. The advancement of technology, particularly Augmented Reality (AR), offers innovative learning opportunities that combine real-world environments with digital content to enhance students’ understanding through interactive visualization. This community service activity aimed to explore teachers’ perceptions of using the GLARE (Geometry Learning using Augmented Reality Experience) application as a teaching aid in geometry learning. The program included training sessions, mentoring, and discussions with mathematics teachers at the secondary school level. The results showed that teachers had positive perceptions of using AR-based learning media, considering it effective in improving students’ conceptual understanding, engagement, and learning motivation. However, challenges remain regarding limited technical skills and school facilities for AR implementation. Overall, this program contributed to increasing teachers’ competence in integrating digital technology into mathematics education and promoting innovative, interactive, and technology-based learning approaches