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Gross motor development is an essential aspect of early childhood education because it contributes to body coordination, balance, muscle strength, and children’s readiness for physical activities. One of the activities that can be used to stimulate gross motor skills is dancing, particularly regional creative dance. This community service program aims to implement the Janger creative dance as a medium to develop gross motor skills in kindergarten group B children. The method used was evaluative with the CIPP model (Context, Input, Process, Product), involving observation, interviews, and documentation. The activity was carried out once a week through stages of rhythm introduction, basic movements, body coordination, and simple dance sequences. The results showed that more than 80% of the children experienced improvement in aspects of balance, movement coordination, agility, and large muscle control. In addition, the activity also enhanced children's self-confidence, courage, and social interaction. Therefore, the Janger dance is proven to be effective as a gross motor stimulation and is suitable to be used as a culturally based learning strategy 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 development of technology in the digital era has brought significant changes to global education systems, including in Indonesia. Digital transformation encourages learning models that are more flexible, interactive, and focused on 21st-century competencies. However, this progress also presents various challenges, particularly related to moral degradation among youth, unequal access to technology, and low digital literacy among teachers and students. This study aims to analyze character education models from a global perspective and evaluate the challenges and strategies for their implementation in Indonesia in the digital era. Using a qualitative research method with a library research approach, data were obtained from credible sources such as scientific journals, books, official reports, and national and international educational documents. The findings indicate that developed countries have successfully integrated technology into their curricula, teacher training, and educational policies, resulting in well- established digital learning ecosystems. In Indonesia, digitalization in education has grown rapidly, especially since the pandemic, but still faces obstacles such as limited infrastructure, varied levels of digital competence among teachers, and a lack of integration of digital pedagogy. In addition, student readiness and access inequality in frontier, outermost, and disadvantaged regions (3T) present further challenges in applying global education models

The mathematics learning outcomes of students at SMP Negeri 3 Bontang on Rational Numbers are still relatively low. Data from the 2019 National Examination (UN) shows an average math score of 46.43, which is in the "poor" category. Summative assessment results indicate that most students have not yet achieved the Learning Objective Achievement Criteria (KKTP). This situation indicates that the learning process tends to be conventional and lacks active student engagement. Therefore, a more innovative learning model is needed, one of which is the Team Games Tournament (TGT), which combines group work, competition, and educational games. This study aims to determine the effect of the TGT learning model on the mathematics learning outcomes of seventh-grade students at SMP Negeri 3 Bontang in the topic of Rational Numbers. This study used a quantitative approach with a quasi-experimental type and a Posttest-Only Control Group Design. The study population was 203 seventh-grade students in the 2024/2025 academic year, with a sample consisting of class VII A as the experimental group (33 students) and class VII F as the control group (34 students), selected through a purposive sampling technique. The research instrument was a five-item essay test. The analysis results showed that the average posttest of the experimental group was 67.848, higher than the control group at 61.794. The Independent Sample t-Test produced a significance value of 0.031 <0.05, so H₀ was rejected. This indicates that the Team Games Tournament (TGT) learning model has a significant effect on improving students' mathematics learning outcomes in the Rational Numbers material.

This study examines the role of teachers as Islamic counselors in addressing various psychological problems experienced by students, such as learning anxiety, academic stress, low self-confidence, difficulty controlling emotions, and social problems such as bullying. Teachers serve not only as instructors, but also as murabbi, mursyid, and moral role models in guiding students' spiritual and emotional development. The study used a qualitative method with a library study approach, where data were obtained through relevant literature related to Islamic counseling, Islamic education, and student psychology. The results of the study indicate that the implementation of Islamic counseling through strategies such as mau'izhah hasanah, tazkiyah an-nafs, prayer and dhikr, empathy development, and collaboration with guidance and counseling teachers and parents has been proven to reduce students' anxiety and stress levels, increase learning motivation, strengthen morals and character, and provide spiritual peace. Thus, teachers play a strategic role in creating a holistic educational environment and supporting students' psychological well-being. In addition, the implementation of Islamic counseling also plays a role in building students' mental resilience in facing academic and social pressures. In the long term, this will strengthen the Islamic values ​​applied in students, while creating a more resilient and noble generation.

This study examines how integrating local ecological wisdom and eco-literacy education fosters environmental awareness, behavioral transformation, and health outcomes among Indonesian primary school students. The research responds to the ecological paradox of rapid technological growth amid worsening environmental degradation, where youth eco-literacy remains below 45%, indicating a gap between environmental knowledge and sustainable action. The study aims to develop a culturally responsive model of sustainability education that connects environmental ethics, cultural identity, and public health. Using a qualitative case study design, the research was conducted at SD Islam Kreatif Mutiara Anak Sholeh, Sidoarjo, East Java, from July to August 2025, involving 60 students and six teachers. Data were collected through semi-structured interviews, observations, and document analysis. Four major themes emerged: (1) cultural narratives as catalysts for environmental awareness, (2) eco-literacy as experiential and behavioral transformation, (3) collaborative learning as collective environmental agency, and (4) eco-health as psychosocial and physical well-being. Findings show that integrating Majapahit-era ecological values and local storytelling into eco-brick and composting projects enhanced students’ responsibility, cooperation, and emotional balance. The study synthesizes Eco-pedagogy, Constructivism, and Eco-health frameworks into a Culturally Responsive Eco-Health Pedagogy, demonstrating that sustainability learning rooted in culture and participation promotes both environmental and health outcomes. This model contributes to the global Education for Sustainable Development (ESD) 2030 agenda by linking culture, ecology, and well-being in primary education.

End-to-end autonomous driving has emerged as a promising paradigm in which deep neural networks directly map raw visual inputs to continuous control actions. Despite its effectiveness, this approach suffers from limited transparency, posing significant challenges for deployment in safety-critical driving scenarios. This study addresses the lack of interpretability in vision-based end-to-end autonomous driving systems and aims to analyze model decision-making behavior under critical conditions such as sharp steering maneuvers and abrupt control transitions. To this end, an explainable end-to-end autonomous driving framework is proposed, combining a convolutional neural network trained via imitation learning with gradient-based visual attribution techniques, including Grad-CAM. The model predicts continuous steering, throttle, and braking commands directly from front-facing camera images, while explainability mechanisms are applied to reveal input regions influencing each control decision. Model performance is evaluated using both prediction accuracy and safety-oriented behavioral metrics. Experimental results show that the proposed explainable model achieves lower control prediction errors compared to a baseline end-to-end CNN, reducing steering mean squared error from 0.034 to 0.031, throttle error from 0.021 to 0.019, and brake error from 0.018 to 0.016. Moreover, safety-oriented analysis indicates improved driving stability, with steering variance reduced from 0.087 to 0.072 and abrupt control changes decreased from 14.6 to 10.3 events. Visual explanations consistently highlight road surfaces and lane-related structures during complex maneuvers, indicating reliance on semantically meaningful cues. In conclusion, the results demonstrate that integrating explainability into end-to-end autonomous driving not only preserves predictive performance but also correlates with smoother and more stable driving behavior. This framework contributes to the development of transparent and trustworthy autonomous driving systems suitable for safety-critical applications

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

This article explores the concept of a “House of Faith” as a holistic educational framework designed to build students’ character based on religious values. The fundamental idea of the House of Faith is likened to a school environment that provides a comfortable and safe space for students to develop their faith and noble character through learning activities connected to religious teachings. A religious school environment is created through everyday atmospheres that encourage the practice of worship, the presence of religious symbols, and community activities that strengthen students’ spirituality. Programs to reinforce religious spirit include activities such as communal prayers, religious studies, and social projects designed to gradually enhance students’ spiritual awareness. Teachers and educational staff play a highly effective role, acting as role models and facilitators in the learning process. Their approach to instilling faith and moral values involves interactive methods such as group discussions, inspirational stories, and personal reflection, all adapted to students’ developmental stages. Collaboration between the school and parents becomes a key factor in ensuring consistent support. This is carried out through regular meetings, joint workshops, and open communication that reinforces family values. The impact of religious spirit on students can be seen in increased discipline, social empathy, emotional resilience, and stronger academic motivation. However, implementation faces challenges such as limited curriculum time, diversity of student backgrounds, and cultural resistance. These challenges are addressed through solutions, including regular teacher training, program evaluation, and the integration of technology for distance learning. Overall, the article emphasizes that a school functioning as a House of Faith can shape young generations who are not only intellectually capable but also strong in faith and morals, contributing to a more harmonious and meaningful society.

India faces a persistent civic deficit reflected in weak civic sense, low compliance with public norms, and a structural imbalance between rights and duties. Although ancient Indian traditions emphasized collective responsibility, colonial legacies, institutional weaknesses, and growing socioeconomic disparities have eroded civic culture. This study employs qualitative content analysis using historical texts, constitutional provisions, judicial interpretations, comparative international case studies, and interdisciplinary scholarly literature. Thematic coding is used to analyze the socio-legal, political, and educational roots of India’s civic deficit. Findings reveal that India’s civic deficit stems from interconnected structural factors: weak enforcement of laws, lack of experiential civic education, limited trust in institutions, political interference, and socioeconomic inequality. Comparative insights from Japan, Nordic countries, Singapore, and Brazil demonstrate that civic sense improves when experiential education, strong institutional integrity, and participatory governance coexist. Addressing India’s civic deficit requires systemic reforms: reorienting civic education toward experiential learning, strengthening judicial independence, enforcing rules consistently, expanding participatory mechanisms, and promoting community-level ownership. Comparative models show that long-term cultural change requires both structural reforms and citizen-centered engagement.

Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence technology develops, deep learning methods have been widely used in classification processes due to their ability to process large amounts of data and recognize complex patterns. In this study, a Multilayer Perceptron (MLP) model is used to classify tourists' preferences between mountain or beach destinations based on a survey dataset. The research stages include data processing, data splitting using a train-test split, model training, and performance evaluation using accuracy, precision, recall, and F1-score. The test results show that the MLP model is capable of achieving an accuracy rate of 99%, confirming that deep learning methods are effective in automatically mapping tourism preference trends. This research is expected to serve as a basis for the development of more personalized travel destination recommendation systems, as well as to support tourism management in formulating targeted promotional strategies.

Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi konsentrasi PM2,5 dengan resolusi waktu 15 menit. Data yang digunakan berasal dari NASA GEOS-CF (band PM25_RH35_GCC) yang diakses melalui Google Earth Engine menggunakan API Python. Dataset mencakup periode 1 Januari hingga 22 November 2025, menghasilkan 7.813 observasi per jam, yang kemudian diinterpolasi linear menjadi 31.249 titik data dengan resolusi 15 menit. Arsitektur Transformer terdiri dari 3 lapis enkoder, 4 kepala perhatian multi-head, dimensi embedding 128, dimensi feed-forward 256, panjang sekuen 60 timestep, dan augmentasi fitur menggunakan rerata bergulir (*rolling mean*, jendela = 3) dan beda pertama (*first difference*). Pelatihan dilakukan dengan TensorFlow-Keras, pengoptimal Adam, penjadwal peluruhan kosinus (*cosine decay scheduler*), dan fungsi kerugian Huber. Pembagian data dilakukan secara kronologis: 70% pelatihan, 30% validasi. Evaluasi pada set uji independen (16 Agustus–21 November 2025, 9.357 observasi atau 97 hari 11 jam 15 menit) menghasilkan MAE 0,7691 µg/m³, RMSE 1,2052 µg/m³, R² 0,9945, dan *Explained Variance Score* 0,9948. Model ini mampu menggambarkan variasi diurnal dan anomali musiman secara akurat, jauh melampaui model LSTM dan GTWR konvensional. Penelitian ini memberikan kontribusi signifikan di bidang Teknologi Informasi melalui kerangka kerja pengolahan *big data* satelit untuk aplikasi lingkungan.

This community engagement program aims to strengthen the economic capacity of community groups in Azerbaijan through an integrated model combining artificial intelligence (AI)–supported learning, digital skills enhancement, and practical economic training. Although Azerbaijan has demonstrated rapid digital progress, micro-entrepreneurs still face challenges related to limited digital literacy, insufficient financial planning capabilities, and the absence of structured mentorship that integrates emerging technologies. This program utilizes a participatory development approach involving baseline assessment, AI-driven training modules, intensive workshops, and mentoring over two months. A total of 45 participants from three community clusters were included. Quantitative findings reveal a 63% increase in digital literacy scores and a 67% adoption rate of AI-supported tools for marketing and financial planning. Qualitative insights show improved confidence in business decision-making, better understanding of market dynamics, and enhanced practical skills in budgeting and content creation. Participants also reported early indicators of improved sales performance and customer engagement. The integration of AI tools into community-based capacity-building initiatives demonstrates high effectiveness in accelerating digital readiness and entrepreneurial resilience. The program concludes that structured AI-based interventions can significantly empower grassroots communities in emerging economies. Limitations include the small sample size and short mentoring duration. Future research should explore larger populations and long-term economic outcomes.

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.

The diversity of Indonesian society, which consists of various ethnic groups, religions, cultures, and races, represents a great potential for the creation of a harmonious social life. However, the reality shows that intolerance and narrow fanaticism still often arise and even begin to influence students in the educational environment. This has the potential to create social conflicts and damage the nation's character in the future. This study aims to examine the role of education in shaping students to avoid fanatic behavior and social conflicts. The research method used is descriptive qualitative with data collection techniques through relevant literature studies. The results of the study show that schools have a strategic role in instilling values of tolerance, inclusive attitudes, and religious moderation through learning, teacher role models, and a school culture that respects diversity. In addition, synergy between schools, families, and communities is needed to create an educational environment that is conducive to the development of students' character. Through the implementation of multicultural education and the strengthening of national values on a sustainable basis, students are expected to become a generation with strong character, tolerant, and able to live peacefully alongside others in a pluralistic society.

This study examines how equity-driven curriculum design can catalyze transformative leadership within multicultural school systems. As global classrooms become increasingly diverse, traditional curricula often fail to address disparities experienced by marginalized learners. Through qualitative library research and content analysis, this study synthesizes theoretical, empirical, and policy-oriented perspectives to explore how culturally responsive curricula promote inclusive learning ecosystems. The findings highlight that equity-driven curriculum design requires not only the integration of diverse cultural perspectives but also the dismantling of hidden power structures embedded in instructional practices. Transformative leadership emerges as a crucial driver, demanding cultural competence, collaborative decision-making, and critical pedagogical reflection from school leaders. The study emphasizes that effective equity implementation depends on teacher empowerment, distributed leadership models, and coherent policy frameworks that align curriculum, assessment, and institutional values. Moreover, technology-enhanced learning, accessibility principles, and Universal Design for Learning strengthen equity outcomes in increasingly digital environments. Overall, this research underscores the interconnectedness of curriculum, leadership, and policy in fostering democratic, socially just educational systems that affirm students’ cultural identities, reduce achievement gaps, and empower communities. The study concludes that achieving equity requires systemic transformation grounded in cultural responsiveness, shared accountability, and continuous professional development.

This research focused on improving fine motor development in early childhood through creative learning activities that utilize recycled materials, designed and implemented using the ADDIE instructional model. The study involved children from class B2 at TK Prawidya Darma and was conducted systematically through five stages, namely analysis, design, development, implementation, and evaluation. Throughout the learning process, children were engaged in a variety of hands-on craft activities, including cutting, folding, gluing, and assembling recycled objects, which were intentionally structured to train hand–eye coordination, finger flexibility, and concentration. The results demonstrate that learning activities based on recycled materials offer rich and meaningful experiences for young learners. Children showed noticeable improvements in accuracy, independence, and creative expression while completing tasks. In addition, the use of recycled materials helped cultivate environmental awareness from an early age, as children learned the value of reusing everyday objects. The classroom atmosphere became more interactive and enjoyable, with students actively participating and showing enthusiasm during the activities. Overall, the findings indicate that creative recycling-based activities are effective in supporting fine motor skill development through enjoyable, practical, and environmentally friendly learning experiences. This study concludes that integrating recycled materials into creative activities can be an innovative, sustainable, and pedagogically valuable approach for early childhood education programs.

The purpose of this study is to discuss the introduction of the Pendet Dance in the Markandeya–Walailak cultural exchange program and to evaluate its effectiveness as a cross-cultural character education tool. To investigate program design, execution, and results, the study used a descriptive qualitative approach backed by the CIPP (Context, Input, Process, Product) evaluation model. During the cultural exchange activities, information was gathered through participant reflection, documentation, and observation. The results show that the program effectively combined the principles of character education with conventional performing arts. Thai students showed greater appreciation, tolerance, respect, and empathy for cultural diversity as well as a deeper comprehension of the Pendet Dance's meaning, symbolism, and cultural value. In addition, Indonesian students who served as facilitators saw improvements in their discipline, self-assurance, cultural adaptability, and communication abilities. The exercise emphasizes how traditional performing arts can be a powerful tool for international engagement and cultural diplomacy. All things considered, the program shows that cultural exchange programs can make a significant contribution to global character education, and it is advised that comparable projects be maintained and developed in subsequent international education partnerships.

Higher education institutions are experiencing accelerated transformation driven by global competition, technological advancements, and shifting learner expectations. In this context, Internal Quality Assurance Cells (IQACs) serve a strategic role in enhancing teaching quality, strengthening learning processes, and ensuring curriculum relevance through the implementation of Outcome-Based Education (OBE) and pedagogical innovation. This study employs qualitative content analysis by synthesizing theoretical frameworks and recent empirical literature to develop an integrated model of IQAC-led academic transformation. The analysis highlights three key mechanisms: curriculum intelligence systems, pedagogical innovation ecosystems, and comprehensive faculty empowerment. Findings indicate that effective IQACs function not merely as compliance bodies but as catalysts of academic excellence by aligning curriculum with industry needs, fostering continuous faculty development, and promoting technology-enhanced learning and learning analytics. Moreover, phased OBE implementation—comprising capacity building, curriculum redesign, instructional support, and continuous evaluation—significantly strengthens learning outcomes and cultivates reflective academic culture. The proposed framework underscores the interconnected role of curriculum, pedagogy, and faculty capabilities as foundations for institutional excellence. Ultimately, the study affirms that IQACs’ strategic leadership in embedding OBE, leveraging educational technologies, and empowering faculty positions them as pivotal agents in driving sustainable educational transformation.

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.