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Academic anxiety is one of the problems commonly experienced by students due to the pressure of assignments, demands for achievement, and concerns about learning outcomes. This article aims to examine the effectiveness of mindfulness-based counseling in reducing students' academic anxiety and to explain the strategic role of guidance counselors in its application in schools. This study uses a literature review method with a literature review approach. Data were obtained from various national journals relevant to the topics of academic anxiety and mindfulness, then analyzed descriptively and qualitatively through a process of collecting, classifying, and synthesizing the results of previous studies. The results of the study show that mindfulness-based counseling is effective in helping students reduce their levels of academic anxiety through conscious breathing exercises, focusing attention, and accepting learning experiences without negative judgment. In addition, guidance counselors play an important role as facilitators, program developers, role models for mindfulness practices, mental health advocates, and liaisons between schools and parents in supporting the success of interventions. By applying the right methods, mindfulness-based counseling can be an effective alternative service in helping students overcome academic anxiety when implemented systematically and continuously  by guidance counselors in schools.

This study aims to analyze the implementation of Artificial Intelligence (AI)-based learning media and its implications for student learning motivation in Islamic Religious Education (PAI). This study uses a systematic literature review approach by examining various reputable scientific articles discussing the integration of AI in education and the dynamics of learning motivation in the context of PAI. The results of the study indicate that the use of AI through adaptive learning systems, educational chatbots, gamification, and learning analytics can increase the effectiveness, personalization, and interactivity of learning. This implementation has a positive impact on cognitive motivation through increased conceptual understanding, affective motivation through active participation and emotional engagement, and spiritual motivation through strengthening reflection and internalization of Islamic values. However, ethical challenges, the risk of depersonalization of the teacher's role, and inequality in digital access are crucial issues that require policy attention and human-centered pedagogical design. Theoretically, this study offers an integrative conceptual framework that combines technological innovation with Islamic educational epistemology. Practically, the results of this study provide recommendations for teachers, schools, and policymakers to develop AI-based PAI learning models that are adaptive, ethical, and oriented towards character building.

The development of digital technology in the 21st century has significantly influenced educational practices, including the teaching of history in schools. Conventional teaching methods often make history learning less engaging and limit students’ active participation. Therefore, innovative learning models based on digital technology are needed to improve the quality of history education and support the development of 21st-century skills such as critical thinking, creativity, communication, and collaboration. This study aims to examine the role of innovative digital technology-based learning models in history learning to enhance students’ 21st-century skills. The research uses a qualitative approach with a literature study method by analyzing various academic sources such as books, journal articles, and relevant research publications. The findings indicate that the integration of digital technology in innovative learning models can increase students’ engagement, improve their understanding of historical events, and encourage active learning through interactive media and digital resources. Furthermore, the use of digital technology enables students to access diverse historical sources and develop analytical and interpretative abilities. The study implies that the implementation of digital-based innovative learning models in history education can support more meaningful learning and contribute to the development of students’ competencies needed in the digital era.

This study aims to develop flipbook-based multimedia instructional materials for the basic techniques of forehand and backhand volley in the Tennis Learning course. This research employed a Research and Development (R&D) approach using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The validation subjects included a content expert, a learning media expert, an instructional design expert, and a field practitioner. Product trials were conducted with students of the Physical Education, Health, and Recreation Study Program, Faculty of Sports and Health, Universitas Pendidikan Ganesha, through individual trials involving three students, small-group trials involving seven students, and large-group trials involving twenty-one students. Data were collected using questionnaires with rating scales and were analyzed using descriptive qualitative and quantitative analysis in the form of percentages. The results indicated that the content expert validation achieved 98%, the media expert 93%, the instructional design expert 97%, and the field practitioner 98%, all categorized as very good. The individual trial obtained 97%, the small-group trial 98%, and the large-group trial 96%, all classified as very good. Therefore, the flipbook-based multimedia instructional materials on basic volley techniques are considered highly feasible for use as learning resources in tennis instruction.  

This study aimed to develop a flipbook-based multimedia teaching material for the Tennis Learning course. The research employed a Research and Development (R&D) approach using the ADDIE model as the development framework, which consists of five stages: (1) Analysis, (2) Design, (3) Development, (4) Implementation, and (5) Evaluation. The research subjects included students of the Physical Education, Health, and Recreation Study Program, Faculty of Sports and Health, Universitas Pendidikan Ganesha, as well as subject matter experts, instructional design experts, instructional media experts, and field practitioners. The product was evaluated through individual trials (3 students), small group trials (7 students), and large group trials (21 fourth-semester students). The validation results indicated feasibility percentages of 96% from the subject matter expert, 97% from the instructional design expert, 100% from the instructional media expert, and 97% from the field practitioner. Meanwhile, student trial results showed feasibility percentages of 97% in the individual trial, 96% in the small group trial, and 97% in the large group trial. Therefore, the flipbook-based multimedia teaching material on officiating in the Tennis Learning course was categorized as excellent and highly feasible for use as a supporting instructional resource in both classroom and field learning activities.

Students as pioneers of nation development, must be able to grow and create jobs through developing an entrepreneurial spirit in higher education. The aims of this research are (1) to develop a project-based entrepreneurship learning model and (2) to test the effectiveness of the project-based entrepreneurship learning model to foster students' entrepreneurial motivation in the Primary School Teacher Education Study Program (PGSD) Muhammadiyah University, Purworejo. The method used in the research is the Research & Development model DBR (Design Based Research). The research subjects were 36 students of the PGSD Study Program at Muhammadiyah University Purworejo studying Local Business entrepreneurship. Data were collected using observation, portfolio, questionnaire, interview and FGD methods. The data analysis techniques used in this research are qualitative analysis, percentages, and difference tests (t-test). The research results show that: 1) improvements to the Local Business entrepreneurship learning model are more directed at applicable practicum, and creating graduates who have an entrepreneurial spirit; 2) design and prototype development consists of three components, namely learning objectives, learning methods, and assessment; 3) validation tests and limited tests show that the learning objectives, material content and presentation are in accordance with the content, appearance and language; and 4) product testing using an experimental class determined based on student learning styles, the majority of students have an accommodating learning style, the results of the portfolio assessment show students have very good and good grades, the products produced by student work groups are in accordance with learning styles, and effectiveness tests show The application of project-based Local Business entrepreneurship learning in the PGSD Study Program at Muhammadiyah University, Purworejo, is able to foster students' entrepreneurial spirit very well.  

This study discusses the importance of family-focused Christian theology in building children's character in the digital era through the Christian Religious Education (PAK) approach. The transformation of information and communication technology has brought major changes, including in the fields of education and character formation. The digital era provides opportunities to increase knowledge and access to learning, but also raises challenges in the form of weakening moral values, integrity, and relationships within the family. The family as a divine institution has a primary role in teaching Christian values ​​through role models, communication, and direct experience. This study uses a qualitative method with a descriptive-analytical approach, which reviews literature and observations of Christian education practices both in families and schools. The results show that families have an important role in developing children's faith and character, while PAK serves as a link between faith education at home and formal education at school. PAK is considered relevant because it can unite students' cognitive, affective, and conative aspects in facing the influence of digital culture. Overall, family-based Christian theology supported by PAK has great relevance in shaping a young generation with integrity, critical thinking, and character. This approach not only instills knowledge of faith but also prepares students to become responsible and wise leaders in utilizing technology in accordance with Christian values.

Student learning activeness is an important component in achieving effective learning outcomes. However, many classroom learning processes still tend to be teacher-centered, resulting in low student participation. This study aims to analyze the implementation of the Family 100 Quiz Game in improving students' learning activeness in Islamic Religious Education (PAI) learning among eleventh-grade students at SMAN 1 Tambakboyo. This research used a Classroom Action Research (CAR) approach with the Kemmis and McTaggart model consisting of planning, action, observation, and reflection stages. The research was conducted in two cycles involving 38 students. Data were collected through observation sheets, field notes, and documentation. Data analysis was carried out using descriptive quantitative and qualitative techniques by calculating the percentage of student learning activeness. The results showed that the implementation of the Family 100 Quiz Game was able to increase student learning activeness. The average percentage of learning activeness increased from 65% in cycle I to 86% in cycle II. The findings indicate that game-based learning strategies can create a more interactive, collaborative, and enjoyable learning environment. Therefore, the Family 100 Quiz Game can be used as an innovative learning strategy to improve student participation in Islamic Religious Education learning.

Ki Hajar Dewantara is a figure in the world of education who is influential in Indonesia and made the date of his birth, namely May 2, a national education day and the father of education is Ki Hajar Dewantara. In his writings he indicated that with various kinds and ways of expressing ideas in accordance with the time and era and the objects he faced, all of Ki Hajar Dewantara's writings contained enthusiasm and breathed struggle. Thoughts about education have also been used until now, including in this case the existence of an independent campus or independent learning initiated by Nadiem Makarim. The purpose of this study was to find out Ki Hajar Dewantara's thoughts on citizenship education. This study uses a literature review study with the existence of data collection techniques using various books and sources in studying it. While the data analysis uses the critical appraisal method. So from this, researchers produce research on civics education based on structure, curriculum content, teachers and learning models in countries that have met education standards in the world, especially in civics education. The results of the study confirm that in Ki Hajar Dewantara's book there is an important point, namely when it is related to the flow in educational philosophy, namely liberalism that regarding tolerance, in Ki Hajar Dewantara's book can be found in education and teaching that is closely related to a particular stream of life, for example religion, belief Spirituality and others in public schools may only be given as "general knowledge" and in the basic principles which presumably can promote the development of character in general, so as a general ethnic, namely manners and decency.

This study aims to determine the application of a mind-mapping Project-Based Learning (PjBL) model to the human digestive system in improving creative thinking skills and creativity in eighth-grade students at SMP Dakwah Pekanbaru. This study used a quantitative approach with a one-group pretest-posttest pre-experimental design. The subjects consisted of eighth-grade students at SMP Dakwah Pekanbaru. The research instruments included a creative thinking skills test, a product creativity assessment sheet, and learning documentation. Data were analyzed using descriptive statistics, the N-gain test, the Wilcoxon test, and the Spearman correlation test. The results showed an increase in students' creative thinking skills after implementing the mind-mapping-based PjBL model, as indicated by an increase in the average posttest score compared to the pretest and a low to moderate N-gain score. Furthermore, students' product creativity was in the good category and had a significant relationship with their creative thinking skills. Thus, implementing the mind-mapping-based PjBL model is effective in improving students' creative thinking skills and creativity in the human digestive system.

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

Digital transformation has significantly altered early childhood learning patterns. Platforms such as YouTube have become dominant media consumed by preschool children. Exposure to digital content during the golden age potentially affects moral development, as children remain in a critical phase of imitation and value internalization. This study aims to conceptually analyze the role of parents in assisting early childhood moral development amid YouTube exposure from an Islamic education perspective. The research employs a qualitative approach using a systematic literature review of reputable national and international journals published between 2020–2026. The analysis involves identification, inclusion-exclusion selection, thematic categorization, and critical synthesis. Findings reveal that effective moral development is strongly influenced by parental mediation patterns, including active mediation, screen-time limitation, Islamic value-based content selection, reflective dialogue, and digital role modeling. The study proposes an integrative Islamic-based digital parenting model combining modern moral development theory and Islamic tarbiyah principles. Theoretically, this study contributes by integrating family digital literacy with Islamic moral education within contemporary educational discourse.

The principal’s leadership plays a strategic role in determining the direction and quality of educational implementation in schools. This study aims to analyze the implementation of integrative leadership based on prophetic values through the application of transformational, instructional, and servant leadership styles at SMA Muhammadiyah PK Kottabarat Surakarta. Islamic-based schools face challenges in integrating academic excellence with the development of religious character; therefore, a leadership model is required that is not only managerially effective but also morally and spiritually grounded. This research employed a qualitative approach with a field study design. Data were collected through participatory observation, in-depth interviews, and documentation, and were analyzed using interactive analysis techniques with triangulation to ensure data validity. The findings indicate that the integration of transformational, instructional, and servant leadership forms an Islamic Integrative Leadership model that combines a vision for change, the strengthening of learning quality, and the values of service and exemplary conduct within an Islamic framework. Transformational leadership fosters a shared vision and an innovative culture; instructional leadership enhances the quality of the learning process through effective academic supervision; while servant leadership creates a humanistic and participatory school climate. This leadership model contributes to improving teacher professionalism, strengthening students’ character, and establishing a religious school culture oriented toward holistic and sustainable educational quality.

This research is motivated by the importance of guiding students in using digital technology in a positive way. The implementation of digital literacy enables students to use digital technology wisely and responsibly. This study aims to explore the importance of digital literacy, the impact of digital technology development on student’s character, the implementation of digital literacy for improving 21st-century skills, and the role of digital literacy for personalizing a generation with strong character, specifically at SMK Budi Mulia Pakisaji. This research is using a qualitative descriptive method, using purposive technique sampling and data triangulation techniques. This study uses an interactive model of data analysis. Data were collected through in-depth interviews, observation, documentation, and open-ended questionnaires. The results show that digital literacy supports the improvement of students’s 21st-century skills, known as the 6Cs: critical thinking, creativity, collaboration, communication, character, and citizenship. Digital literacy is integrated into IPAS (Science, Social, and Environmental Education) learning and implemented through the SMART (Spesific-Measurable-Achievable-Relevant-Time bound) digital concept. The implementation of digital literacy supports the achievement of IPAS learning goals, to make meaningfull learning experience, and students are able to produce a creation in IPAS projects. Students are able to solve problems using digital technology, select useful content, manage their time effectively, and become a lifelong learner. Furthermore, digital literacy supports the students to increase their knowledge, skills, and attitudes aligned with the values of Pancasila.

This study is motivated by the development of digital technology, which has driven a transformation in the learning paradigm from conventional models to more flexible, interactive, and innovative technology-based learning. Changes in student characteristics in the digital era require adaptive learning strategies that are able to improve both the efficiency of the learning process and learning outcomes. This study aims to describe and analyze digital learning strategies in enhancing learning efficiency and their impact on student achievement. The research employs a qualitative approach using a literature review by examining various relevant scientific sources related to the concepts, characteristics, implementation, and impacts of digital learning. The data were analyzed using content analysis techniques to produce a systematic conceptual framework. The findings indicate that systematically designed digital learning strategies can improve conceptual understanding through interactive content delivery, strengthen students’ motivation and independent learning, and enhance retention and learning mastery. Learning efficiency is reflected in flexible access, time optimization, and technology-based assessment. However, its implementation still faces challenges such as limited infrastructure and digital literacy. Therefore, careful planning and the improvement of digital competencies are necessary to ensure that digital learning can be implemented effectively and sustainably in improving the quality of education.

Learning media is a tool that can be used to help students learn better and more efficiently. The media used in SMP Negeri 23 Pekanbaru is a teacher-centered picture/poster media so that students quickly get bored, and because of the limited media from the school. Most students prefer learning that involves them directly such as the element of games. The learning models used are discovery, PBL, and lecture models, and student learning activities are still lacking or less active in science learning. The purpose of this study is to develop learning media in the form of a cooperative-based snakes and ladders game with the Teams Games Tournament (TGT) type which aims to train student learning activities. The research method used is Research and Development (R&D) by implementing the ADDIE model which consists of five stages, namely Analyze, Design, Development, Implement, and Evaluation. Based on the validation results obtained, media experts were 94% with very feasible criteria, material experts were 92% with very feasible criteria, teachers gave a practicality assessment of 95% with very practical criteria, and students' responses were 85% with very interested criteria. This shows that the snakes and ladders media based on Teams Games Tournament (TGT) is very reasonable, very practical to use, and very interesting for students during the learning process. The results of observations on all student learning activities showed that 79% got a good interpretation.

The rapid development of digital technology requires greater adaptive capacity in both the economic and educational sectors, including in rural areas. However, limited digital literacy and the continued use of conventional learning methods remain common challenges. This activity aims to enhance the competitiveness of micro, small, and medium enterprises (MSMEs) as well as the quality of primary education in Baharen Village, Sidamanik District, through the implementation of a Community Service Program (Kuliah Kerja Nyata/KKN). A descriptive qualitative approach with a participatory model was employed, actively involving MSME actors, teachers, and students throughout all stages of the program. The activities included assistance in the digitalization of the MSME Gerai Mumtazah through Google Maps registration and the implementation of the QRIS cashless payment system, as well as the application of interactive learning methods based on joyful learning at the Baharen Village State Elementary School. The results indicate an increase in students’ learning motivation and classroom participation, along with improved accessibility and transaction efficiency for the MSME partner. These findings suggest that community-based participatory service activities can make a tangible contribution to strengthening the local economy and improving the quality of education in rural areas.

This study explores the integration of community driven learning practices in the adoption of educational technology and its impact on sustainability. With the rapid advancement of digital tools and platforms, higher education institutions have increasingly adopted online and hybrid learning models to enhance teaching and learning. However, despite the potential benefits, aligning institutional goals with community needs remains a significant challenge. This research utilizes a mixed methods approach, combining stakeholder surveys, policy analysis, and comparative case studies to evaluate the effectiveness of both top down and community aligned adoption models. The findings reveal that community driven models, which involve local stakeholders in the decision making process, lead to higher engagement, better adoption rates, and greater long term sustainability compared to top down approaches. Stakeholders, including educators, students, and administrators, reported that participatory decision making fostered a sense of ownership and ensured the relevance of adopted technologies. The study also identifies key sustainability factors, including participatory decision making, long term community engagement, and contextual relevance, which are crucial for ensuring that educational technologies remain effective and beneficial over time. However, challenges such as resistance to change, lack of resources, and unequal access to technology were found to hinder the successful implementation of sustainable models. The research concludes with practical recommendations for educational institutions and policymakers to adopt community aligned models and ensure equitable access to technology. Future research directions are suggested to further explore the balance between institutional innovation and community driven learning, with a focus on long term outcomes and the adaptability of these models across different educational contexts.