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Difficulties in learning to read the Qur’an among adults do not always stem from the quality of teaching materials or instructors, but are often caused by the use of learning methods that are not appropriate to adult learners’ characteristics. Adults possess distinct psychological, physiological, and experiential backgrounds that require learning approaches different from those used for children. Monotonous and rigid instructional methods may hinder motivation and limit learning outcomes, particularly in Qur’anic literacy education. This condition is further compounded by physical limitations commonly experienced by adults and the elderly, such as dental and oral health problems, as well as strong regional language accents that affect pronunciation accuracy. In response to these challenges, the Tsaqifa method was developed as an alternative and practical approach specifically designed for adult beginners who have little or no prior ability to read the Qur’an. This method emphasizes simplicity, flexibility, and learner-centered instruction, enabling participants to gradually improve their Qur’anic reading skills in a supportive and non-intimidating learning environment. Through its application, adult learners are encouraged to regain confidence and motivation in studying the Qur’an, thereby contributing to efforts to reduce Qur’anic illiteracy among adult and elderly communities, particularly in rural areas.

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.

This study investigates the role of artificial intelligence (AI) in enhancing language learning, with a focus on five key applications: automatic text analysis, personalized learning, adaptive feedback, language error detection, and automatic translation. The study addresses the challenge of integrating AI effectively in educational contexts while balancing technological potential with pedagogical guidance. The objective is to provide a comprehensive understanding of how AI tools contribute to more adaptive, efficient, and engaging language learning experiences. A systematic literature review method was employed, selecting and critically analyzing studies published between 2020 and 2025 that examined AI-assisted language learning strategies. The findings indicate that automatic text analysis supports comprehension monitoring and guided learning, while personalized learning adapts content to individual learner needs, enhancing motivation and retention. Adaptive feedback delivers immediate, targeted guidance that fosters accuracy and self-regulated learning, and language error detection tools enable learners to identify and correct grammatical and lexical mistakes, promoting metalinguistic awareness. Automatic translation broadens access to authentic texts and cross-cultural materials, supporting comprehension and independent learning. Synthesizing these findings highlights the transformative potential of AI to improve learning outcomes while also revealing challenges such as tool reliability, ethical considerations, and the need for teacher oversight. The study concludes that AI, when thoughtfully integrated, complements instruction, enhances learner engagement, and supports differentiated and data-driven teaching strategies, providing valuable insights for language educators and guiding future research on AI-enabled language learning.

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

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.

The low interest in reading and learning outcomes of students in Indonesia poses a significant challenge in the education sector. The Kampus Mengajar program has emerged as one of the solutions to enhance literacy and the quality of learning in schools. This article aims to analyze the impact of literacy activities initiated through the Kampus Mengajar program on student learning outcomes using a literature review approach. The research uses a qualitative method in the form of a literature review that examines various relevant sources published between 2020 and 2026. The study's findings indicate that structured literacy activities, such as reading for 15 minutes before lessons, have a significant impact on the improvement of students' cognitive, affective, and psychomotor skills. Literacy is not limited to reading and writing skills but also serves as a crucial foundation for developing critical thinking abilities, which are directly correlated with students' academic performance. Therefore, the Kampus Mengajar program can be an important driver to enhance reading interest and the quality of learning, as well as shape a more critical and high-achieving generation in the future.

This research was motivated by the relatively low level of student learning activities, indicated by limited participation in asking questions, answering, and expressing opinions during the learning process. In addition, some students showed low concentration and attention to the teacher’s explanations. The learning process was still teacher-centered, which reduced student activeness and affected learning outcomes. To address this problem, teachers need to apply learning methods that encourage student participation while improving learning outcomes. One method that can be applied, particularly in social studies subjects, is the Quiz Team learning method. This study aimed to determine the effect of the Quiz Team learning method assisted by Baambozle media on student activity and learning outcomes in social studies at MTsN 6 Tulungagung. The study used a quantitative approach with a quasi-experimental design, specifically a non-equivalent control group design. Data were collected through questionnaires, tests, and documentation. Questionnaires were used to measure student learning activity, while tests were used to assess learning outcomes. The sample consisted of 32 students in the control class and 32 students in the experimental class selected through purposive sampling. The results showed that the Quiz Team method assisted by Baambozle media significantly affected students’ activity and learning outcomes, indicated by a Sig. (2-tailed) value of 0.000 < 0.05. The findings imply that this method can enhance student activity and consequently improve learning outcomes.

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.

This study aims to investigate the skill gaps experienced by bachelor’s degree graduates in Indonesia when facing the dual demands of Industry 4.0 and Society 5.0. The method applied in this research is a systematic literature review, synthesizing findings from 21 scientific articles focusing on the dynamics of skill gaps and the effectiveness of higher education interventions in Indonesia. The study findings reveal two main categories of competency gaps. In the context of Industry 4.0, the most significant deficiencies are observed in specific hard skills, particularly data literacy, artificial intelligence proficiency, and automation across various sectors. Meanwhile, within the Society 5.0 dimension, deeper gaps emerge in soft skills and human-centered competencies, including complex problem-solving, emotional intelligence, creativity, and environmentally sustainable skills. These human-centered skill gaps play a critical role in enhancing graduate value as AI technologies increasingly replace routine tasks. Although the Merdeka Belajar Kampus Merdeka program shows positive outcomes in improving sustainability skills and digital certification, it has not fully succeeded in driving fundamental transformation of higher education learning outcomes, limiting alignment with sustainability principles and the Society 5.0 approach. It can be concluded that Indonesian higher education faces the challenge of undertaking fundamental curriculum reform to integrate human-centered competencies as a foundation for preparing future human resources.

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.

This study examines inclusive education for children with emotional and behavioral disorders (EBD), who often experience significant challenges in social interaction and academic adaptation. The primary objective is to evaluate existing educational approaches and strategies implemented in Indonesia, while also identifying gaps in current research and practice. This study employs a literature review method, analyzing 20 relevant scientific articles to synthesize key findings and trends. The results indicate that structured approaches such as Positive Behavioral Interventions and Supports (PBIS) and Social-Emotional Learning (SEL) have proven effective in improving students’ behavioral outcomes, emotional regulation, and academic performance. These approaches emphasize proactive strategies, skill development, and supportive learning environments. However, several persistent challenges hinder optimal implementation, including limited teacher knowledge and training in inclusive practices, insufficient institutional support, and a lack of access to professional psychological services. Additionally, inconsistencies in policy implementation across regions contribute to unequal educational experiences for children with EBD. Based on these findings, the study highlights the importance of strengthening teacher capacity through continuous professional development and increasing access to multidisciplinary support systems. Furthermore, effective collaboration among teachers, parents, schools, and the wider community is essential to foster inclusive, adaptive, and responsive educational environments that can meet the diverse needs of all learners.

This study examines the role of understanding Christian theology in improving the quality of Christian Religious Education (CRE) learning. The focus of the study is how theological foundations can shape students’ character, morals, and spiritual development, as well as how teachers’ instructional strategies can support the achievement of these learning outcomes optimally and sustainably. The method used is a qualitative literature review, analyzing various relevant books and journal articles related to CRE, teaching approaches, and the integration of faith values into the educational curriculum. The findings indicate that mastery of Christian theology serves as an essential foundation in learning, as it enables students to understand their faith deeply while also internalizing Christian principles in their daily lives. In addition, interactive, contextual, and participatory learning methods have been shown to increase student engagement and motivation in the learning process. The role of the teacher as a moral and spiritual role model is also a key factor in strengthening the internalization of these values. Thus, an understanding of Christian theology not only supports cognitive aspects but also contributes to shaping students’ character and ethical behavior, making CRE learning transformational and holistic.

The objective of this activity is to foster a spirit of entrepreneurship among students by utilizing productive land on the STT Sabda Agung campus as an educational vegetable garden. This activity is designed to engage students actively and collaboratively throughout the entire agricultural cycle, from the planning stage, land preparation, planting various types of vegetables such as water spinach, mustard greens, and spinach, maintenance, to the harvesting and marketing of the produce. The primary focus of this activity is not only on the technical aspects of farming but also on character development, fostering independence, and enhancing students’ managerial skills in managing small-scale business units. The outcomes of this initiative demonstrate a significant increase in students’ interest and understanding of agriculture-based entrepreneurship, particularly regarding the utilization of backyard spaces. In addition to providing educational value, this land optimization has successfully transformed the campus area into a productive and aesthetically pleasing green space. As a result, students now possess practical skills that can serve as a foundation for future economic independence, particularly in the service sector. Through this integration of theory and practice, it is hoped that an innovative learning ecosystem will be created to foster the emergence of competent young entrepreneurs who are environmentally conscious.

This study aims to analyze the effect of information technology (IT)-based learning media on improving students' academic performance. With the advancement of digital technology, the use of IT-based media such as interactive presentations, educational videos, Learning Management Systems (LMS), and online quiz applications has become part of modern teaching strategies. This study uses a quantitative approach with a quasi-experimental method. The subjects of the study were secondary school students divided into experimental and control groups. The instruments used include learning achievement tests to measure academic performance and observation sheets to assess the implementation of IT media usage. Data were analyzed using t-tests and simple regression analysis. The results show a significant difference in academic performance between students who used IT-based learning media and those who used conventional methods. The experimental group showed a higher average score compared to the control group. These findings indicate that the use of IT-based learning media, when planned and implemented systematically, can improve students' motivation, engagement, and understanding of learning materials. Therefore, the integration of information technology into the learning process is recommended as an innovative strategy to enhance the quality of education.

This study aims to evaluate the Quran Tahfidz program at Bahrul Hikmah Islamic Junior High School using the Context, Input, Process, and Product (CIPP) evaluation model introduced by Stufflebeam. The findings of the research are as follows: First, the evaluation of the context aspect indicates that the program objectives have been comprehensively formulated. Data analysis confirms that the program implementation is well-aligned with the established goals, placing it in the 'good' category. Second, the evaluation of the input component reveals that the managerial competence of the administrators and the pedagogical capabilities of the educators have met the expected standards. Nevertheless, the infrastructure aspects require further optimization to foster a more conducive learning environment for students. Third, regarding the process aspect, the program implementation has generally achieved the targeted outcomes. However, observations identified obstacles predominantly stemming from students' internal factors; this implies the crucial role of teachers in integrating motivational stimuli as a preventive measure against declining learning enthusiasm. Fourth, the product evaluation shows that the daily memorization targets are generally achieved, although some students require remedial sessions. Ultimately, students are capable of completing the memorization of three juz within the three-year period.

This article discusses an experiential training program that integrates three main pillars for students of Parung Panjang Vocational High School (SMK) in Tangerang: optimizing digital platforms as modern marketplaces, developing innovative product packaging to strengthen sales performance, and applying ethical and legal principles in digital business activities. The program is designed to prepare vocational students to become competent, creative, adaptive, and responsible young entrepreneurs in the digital economy. The implementation methods include project-based learning, workshops, seminars, product simulation, mentoring, and intensive practice in using online marketing media. Students are guided to identify market opportunities, design attractive packaging, promote products through digital channels, and understand consumer protection, intellectual property, and honest transaction practices. The expected outcomes include increased digital literacy, improved packaging design skills, stronger entrepreneurial motivation, and better awareness of business ethics and legal compliance. Overall, this program provides practical learning experiences that connect school-based entrepreneurship education with the demands of the contemporary business and industrial environment. It also encourages collaboration among teachers, students, and local business partners for sustainable vocational development in line with future workforce and innovation needs.

Academic procrastination is the behavior of deliberately delaying the completion of tasks even though individuals are aware of the negative consequences for their learning outcomes. This phenomenon is commonly found among students at various educational levels, ranging from secondary school to higher education, and often results in decreased academic achievement, lower quality of completed assignments, and increased levels of academic stress among students. This condition indicates that academic procrastination has become an important issue that requires attention within the educational process. This study aims to examine self-regulation as an indicator for the early detection of academic procrastination in the context of guidance and counseling services in educational settings. The method used in this study is a literature review by analyzing various scientific journal articles relevant to the research topic. The results of the review show a consistent negative relationship between self-regulation and academic procrastination. Students who possess a high level of self-regulation tend to be more capable of managing their time, emotions, and learning motivation effectively, enabling them to be more disciplined in completing academic tasks. Conversely, low levels of self-regulation contribute to an increased tendency to delay academic tasks. These findings confirm that self-regulation can serve as a strategic indicator for early detection as well as a target for preventive interventions through guidance and counseling services in schools.

The mining sector is widely recognized as a high-risk industry characterized by complex social, environmental, and organizational challenges. In response, sustainability governance in mining has predominantly relied on institutional mechanisms such as regulations, voluntary standards, and sustainability reporting frameworks. However, growing evidence indicates that these approaches often fail to generate substantive sustainability outcomes because they insufficiently address human and organizational dimensions. This literature review aims to synthesize existing research on sustainability governance in the mining sector by shifting the analytical focus from institutional sustainability to human behavioral engagement. Using a systematic and thematic literature review approach, this study analyzes peer-reviewed articles indexed in Scopus that examine sustainability governance, human behavior, and organizational dynamics in the mining sector. The findings reveal a persistent gap between formal sustainability commitments and actual practices, frequently manifested in symbolic compliance and greenwashing. The review further demonstrates that human behavior—shaped by employee engagement, trust, perceived justice, and organizational culture—plays a decisive role in determining the effectiveness of sustainability governance. Moreover, the literature highlights the limitations of rigid, top-down governance models in managing the complexity and uncertainty inherent in mining systems, emphasizing the relevance of adaptive governance approaches that promote learning, flexibility, and stakeholder participation. This study contributes to the literature by integrating institutional, behavioral, and adaptive governance perspectives into a human-centered framework. Practically, it underscores the strategic role of human resource management in translating sustainability commitments into meaningful behavioral change and long-term sustainability outcomes in the mining sector.

Drug abuse (NAPZA) has become a serious threat among students and poses significant risks to their physical health, psychological well-being, and future development. Therefore, preventive efforts through structured education and mentoring programs are essential. This community service activity aims to describe the process and outcomes of a drug abuse prevention mentoring program conducted at SMP Negeri 2 Bulu, Temanggung. The program applied a participatory approach consisting of four stages: coordination with the school, educational socialization on the dangers of drugs, follow-up activities through discussions and student reflections, and evaluation to measure students’ understanding. The educational sessions were delivered using interactive lectures, question-and-answer methods, and visual learning media to enhance students’ engagement and comprehension. The results indicate an increase in students’ knowledge and awareness regarding the types, impacts, and prevention strategies of drug abuse. Moreover, students demonstrated more positive attitudes and a stronger commitment to avoiding drugs as a form of self-protection for their health and future. This program is expected to serve as a school-based preventive education model to reduce drug abuse among students through collaboration between teachers, schools, and the wider community.

Physics learning requires higher-order thinking skills, particularly critical thinking and conceptual understanding. However, students’ critical thinking skills and physics learning outcomes at the senior high school level are still relatively low due to teacher-centered instruction and the limited use of innovative learning models and media. This study aimed to examine the effect of the CORE (Connecting, Organizing, Reflecting, Extending) learning model assisted by Lumio by Smart media on students’ critical thinking skills and physics learning outcomes. This research employed a true experimental design with a post-test only control group design conducted at SMAN 4 Jember in the 2025/2026 academic year. The samples consisted of two classes, with class XI Umum 2 as the experimental class and class XI Teknik 3 as the control class. Data were collected through tests and analyzed using the Mann–Whitney U test. The results showed significance values of 0.027 ≤ 0,05 for critical thinking skills which means H0 is rejected and Ha is accepted and 0.020 ≤ 0,05  for physics learning outcomes which means H0 is rejected and Ha is accepted. Therefore, it can be concluded that the CORE learning model assisted by Lumio by Smart media has a significant effect on students’ critical thinking skills and physics learning outcomes.