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The integration of artificial intelligence chatbots as virtual teaching assistants (VTAs) represents a transformative shift in student support services within higher education. This study investigates the implementation, effectiveness, and impact of AI-powered chatbots in providing academic support, administrative assistance, and personalized guidance to university students. Employing a longitudinal mixed-methods approach over 18 months, this research analyzed data from 2,347 students across 15 universities that deployed VTA systems, examining interaction patterns, student satisfaction, learning outcomes, and cost-effectiveness. Quantitative analysis of 487,392 chatbot interactions revealed that VTAs successfully handled 78.4% of student queries without human intervention, with response times averaging 3.2 seconds compared to 4.7 hours for traditional support channels. Qualitative findings from focus groups and interviews highlighted students' appreciation for 24/7 availability, immediate responses, and non-judgmental interactions, while also revealing concerns about empathy limitations, complex query handling, and the desire for human connection in critical situations. The study demonstrates that VTAs significantly improve support service accessibility and efficiency while reducing operational costs by an average of 43%. However, optimal implementation requires careful integration with human support staff, continuous training of AI systems, and attention to equity issues in digital access. This research contributes to understanding how AI can augment rather than replace human educators, offering evidence-based recommendations for implementing VTA systems that enhance student success while maintaining the human elements essential to quality education.

Arabic grammar (nahwu) instruction has long been dominated by rule-based approaches that emphasize memorization and formal analysis, often resulting in rigid learning structures and limited responsiveness to learners’ cognitive diversity. While such approaches play an important role in preserving grammatical accuracy, they frequently overlook individual learning trajectories, cognitive readiness, and adaptive instructional needs. In the era of artificial intelligence (AI), language education is increasingly shaped by adaptive learning systems that personalize content, pacing, and instructional strategies based on learners’ profiles. This study aims to reconceptualize Arabic grammar instruction by proposing a conceptual framework that integrates traditional nahwu principles with adaptive learning systems informed by AI. Using a qualitative conceptual analysis, this paper synthesizes classical Arabic grammar pedagogy, contemporary theories of adaptive learning, and recent developments in AI-supported language instruction. The proposed framework highlights key components, including learner profiling, cognitive-level alignment, hierarchical nahwu content structuring, and AI-assisted scaffolding mechanisms. The findings suggest that adaptive learning systems offer significant pedagogical potential to transform nahwu instruction from a static, rule-centered model into a flexible, learner-centered process. This reconceptualization is expected to enhance grammatical comprehension, reduce cognitive overload, and promote learner autonomy in Arabic language education, particularly in Islamic higher education contexts. The study concludes by discussing pedagogical implications and directions for future empirical research on AI-assisted Arabic grammar learning.

Reading literacy among 6th grade elementary students is often superficial, limiting their ability to analyze implicit meanings and connect texts to real-world contexts. This review examines the potential of deep learning as a pedagogical approach to enhance in-depth text comprehension. Deep learning emphasizes active engagement, reflection, and the construction of meaningful knowledge, aiming to foster critical thinking and improve comprehension. Recent studies highlight implementation strategies such as reflective journaling and interactive discussions, which have demonstrated significant improvements in students' critical thinking and comprehension scores (p < 0.05). These findings suggest that deep learning methods surpass traditional approaches by promoting higher-order cognitive skills, enabling students to analyze and interpret texts more effectively. However, challenges such as inadequate teacher training persist, which may hinder the full integration of deep learning techniques. To address these challenges, further research is needed to explore scalable digital tools that can support deep learning in diverse classroom settings. By examining the potential for digital integration, future studies could provide insights into how technology can facilitate the widespread adoption of deep learning strategies, making them more accessible and effective for a broader range of students. Ultimately, this review underscores the promise of deep learning in enhancing reading literacy and suggests that addressing the barriers to its implementation could have significant educational benefits.

This study aims to analyze the effect of the implementation of the Intelligent Tutoring Sistem (ITS) based on Artificial Intelligence (AI) on improving the understanding of mathematical concepts, especially in fractional and basic geometry materials, in Class V students of SD Negeri 2 Badran, Temanggung Regency. The research method used was a quasiexperimental experiment with a Non-equivalent Control Group Design. The research sample consisted of 48 students who were divided into two groups, namely the experimental group (n=24) who received learning with the help of AI-based ITS, and the control group (n=24) who received conventional learning with lecture methods and practice questions. The research instrument is in the form of a test of understanding of mathematical concepts that has been validated by experts and tested for reliability. Data were analyzed using parametric statistical tests of the Independent Sample t-test and N-Gain Score to measure the improvement. The results showed that there was a significant difference in understanding of mathematical concepts between the experimental group and the control group. The average post-test score of the experimental group (82.45) was significantly higher than that of the control group (70.12) with a p< value of 0.05. N-Gain analysis showed that the improvement in conceptual understanding in the experimental group was in the "moderate" category (g=0.56), while the control group was in the "low" category (g=0.32). These findings indicate that AI-based ITS is effective in improving students' understanding of mathematical concepts. The advantages of the system lie in its ability to provide instant feedback, personalize materials according to learning pace, and present interactive materials, thus helping to better construct students' conceptual understanding. It is recommended that schools consider the integration of ITS technology as a supplementary tool in mathematics learning at the elementary level.

This study examines the readiness of elementary school teachers to implement AI-based learning in the era of artificial intelligence, as technological advancements increasingly influence instructional practices in basic education. Despite the growing potential of artificial intelligence to support teaching and learning processes, empirical evidence regarding teachers’ preparedness at the elementary level remains limited. This study employed a descriptive quantitative research design involving 18 elementary school teachers. Data were collected using a structured questionnaire consisting of 15 Likert-scale items measuring technological skills, knowledge of artificial intelligence, attitudes toward AI, pedagogical readiness, and infrastructure support. Descriptive statistical analysis revealed that the overall mean score of teachers’ readiness was 4.08, indicating that teachers are generally ready to adopt AI-based learning. Technological skills emerged as the strongest aspect of readiness, reflecting teachers’ familiarity with digital tools and instructional technologies, while infrastructure and institutional support obtained the lowest mean score, highlighting challenges related to facilities, access to technology, and policy support. These findings suggest that although elementary school teachers demonstrate positive readiness and attitudes toward AI-based learning, effective and sustainable implementation requires strengthened institutional support, improved infrastructure, and continuous professional development to maximize the educational benefits of artificial intelligence in elementary education.

This study aims to describe the application of deep learning based tolerance values with a pedagogical approach in supporting classroom management in grade VI of SDN Beji 01 East Ungaran. The deep learning approach is understood as a pedagogical strategy that emphasizes the cognitive, affective, and social engagement of students through meaningful learning experiences. This study uses a descriptive qualitative approach with data collection techniques in the form of semi-structured interviews, observations, and documentation. The research subjects include grade VI teachers, principals, and students with diverse social and cultural backgrounds. The results of the study show that the application of tolerance values through deep learning strategies is able to create an inclusive, safe, and conducive classroom climate. The implementation is reflected through the practice of random seating arrangements, a culture of sharing learning media, deliberation in conflict resolution, fair study timing, and strengthening mutual respect between students. These findings confirm that the integration of deep learning-based tolerance values contributes significantly to the effectiveness of classroom management and the strengthening of the social character of elementary school students.

The use of artificial intelligence technology in elementary education is becoming increasingly relevant as teachers demand to develop creative and efficient teaching materials. Problems faced by fifth-grade elementary school teachers include limited time, a variety of ideas, and reliance on conventional methods in developing teaching materials, resulting in suboptimal learning creativity. This study aims to describe the use of ChatGPT by fifth-grade elementary school teachers in developing creative teaching materials and to identify the benefits and constraints of its use in the learning process. The research method used is a descriptive qualitative approach with data collection techniques through literature studies and online questionnaires based on Google Forms. The research respondents were fifth-grade elementary school teachers who were familiar with and used ChatGPT in lesson planning. The data obtained were analyzed using qualitative descriptive analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. The results of the study are expected to provide a comprehensive picture of the role of ChatGPT as a digital assistant for teachers in increasing the efficiency and creativity of teaching material development in elementary schools.

The development of Artificial Intelligence (AI) technology has provided new opportunities to enhance the quality of learning, particularly in elementary science education. One form of AI utilization is chatbots, which function as interactive learning media capable of encouraging students’ active participation. In science learning, questioning behavior is an important indicator of students’ cognitive engagement; however, many elementary school students tend to be passive in asking questions. This study aimed to examine the effect of using AI chatbots in science learning on students’ questioning behavior in Grade V of SDN Plalangan 03 Gunungpati, Semarang City. This study employed a quantitative approach with a quasi-experimental design. Data were collected through observation, questionnaires, and documentation. The data were analyzed to identify changes in students’ questioning behavior before and after the implementation of AI chatbots in science learning. The results indicated that the use of AI chatbots improved students’ questioning behavior in terms of frequency, confidence, and activeness in asking questions. AI chatbots provided a comfortable and flexible interaction space for students, which helped reduce psychological barriers in questioning. It can be concluded that the use of AI chatbots has a positive effect on students’ questioning behavior in elementary school science learning.

This study examines the implementation of RoRo ship services in Indonesia, highlighting the implementation of RoRo ships and the current national logistics framework potential strategies, particularly in the 3T region. This research employs a qualitative descriptive methodology that includes a literature review. It utilizes secondary data from previous studies, comprising books and original scientific reports published in articles or journals. The findings indicated 1) The use of RoRo ships has gone through progressive developments, like the government's initiative on “Sea Toll” designed to support the logistics sector, particularly in 3T regions. 2) Enhancing the logistics framework through the integration of National Logistic EcosIstem (NLE) alongside the Internet of Things (IoT) to increase logistics efficiency that is rapid, effective, and clear. Nevertheless, these initiatives faces challenges. Consequently. The proposed strategies focus on improving growth center development through logistics integration (shipping, port management, and intermodal) and implementing digitalization in logistics document processing.

Heritage language loss among immigrant and diaspora communities represents a critical challenge to cultural identity, intergenerational communication, and cognitive diversity. Traditional heritage language maintenance approaches face significant barriers including limited resources, lack of qualified instructors, geographic dispersion, and competing demands of dominant language acquisition. This study investigates the effectiveness of bilingual digital story applications as innovative tools for heritage language maintenance among children aged 4-12 years. Through a 24-month longitudinal mixed-methods study involving 1,843 families across eight language communities (Spanish, Mandarin, Arabic, Korean, Tagalog, Vietnamese, Hindi, and Polish), we examined language proficiency development, cultural identity formation, family engagement patterns, and app usage behaviors. Quantitative analysis of pre- and post-intervention language assessments revealed statistically significant improvements in heritage language vocabulary (effect size d=0.68), listening comprehension (d=0.54), and oral production (d=0.47) among children using bilingual story apps for at least 20 minutes daily. Qualitative findings from parent interviews and child focus groups highlighted the apps' role in making heritage language learning enjoyable, facilitating parent-child interaction, connecting children to cultural narratives, and normalizing bilingualism. However, effectiveness varied substantially based on app design features, with interactive elements, culturally authentic content, parent involvement scaffolds, and adaptive difficulty showing strongest associations with outcomes. This research demonstrates that thoughtfully designed bilingual story apps can serve as accessible, scalable tools for heritage language maintenance, though they function most effectively as complements to rather than substitutes for rich home language environments and community connections. The study contributes empirical evidence to inform app development, family language planning, and policies supporting linguistic diversity in increasingly globalized societies.

The emergence of ChatGPT and other large language models has introduced unprecedented opportunities and challenges in educational settings. This study examines the dual nature of ChatGPT's integration into classroom environments, analyzing both its potential as an educational tool and the ethical concerns it raises regarding academic integrity. Through a mixed-methods approach combining surveys, interviews, and content analysis, this research investigates how educators and students perceive and utilize ChatGPT, the implications for learning outcomes, and the effectiveness of current academic integrity policies. Results indicate that while ChatGPT offers significant pedagogical benefits including personalized learning support and enhanced accessibility, it simultaneously poses risks to traditional assessment methods and raises questions about authorship and original thought. The study proposes a framework for responsible AI integration in education that balances innovation with academic integrity, emphasizing the need for updated policies, enhanced digital literacy, and redesigned assessment strategies. These findings contribute to the ongoing discourse on AI in education and provide practical recommendations for educators, administrators, and policymakers navigating this transformative technology.

Language barriers represent one of the most significant obstacles to educational equity and access worldwide. This study investigates the application of Natural Language Processing (NLP) technologies in multilingual educational contexts to facilitate cross-linguistic learning and improve educational outcomes for linguistically diverse student populations. We implemented and evaluated a comprehensive NLP-powered multilingual learning platform across 47 educational institutions in 12 countries, serving 8,450 students speaking 23 different languages. Our experimental framework integrated machine translation, speech recognition, multilingual content generation, and adaptive language learning algorithms. Results demonstrate that NLP-enhanced multilingual education improved student comprehension by 43.6% (p<0.001), increased participation rates by 67.8%, and reduced achievement gaps between native and non-native speakers by 52.4%. Students using NLP-assisted learning tools achieved test scores averaging 78.3% compared to 54.7% for control groups. However, challenges persist regarding cultural context preservation, idiomatic expression handling, and equitable performance across language families. This research provides evidence that NLP technologies can effectively democratize education across linguistic boundaries while identifying critical areas requiring continued development.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

This study aims to explore students' experiences, reflections, and perceptions of innovative learning in drama studies through digital performance. This qualitative descriptive research utilized a case study approach with 36 students enrolled in the Drama Studies course (2025/2026) within the Indonesian Language and Literature Education program at Universitas Singaperbangsa Karawang. Primary data consisted of students' written reflections and digital performance artifacts, supported by secondary data from literature on constructivism, dual coding/multisensory theory, and emotional intelligence, as well as curriculum documents. Data collection involved documentation, participatory observation, and semi-structured interviews. Data analysis employed thematic analysis through systematic steps including reading, coding, categorization, interpretation, and presentation. Data validity was ensured through source triangulation, member checking, and peer debriefing. The findings indicate that digital performance provides positive learning experiences, strengthens the integration of theory and practice, fosters problem-solving skills, and develops collaboration, empathy, and students' emotional intelligence. These results affirm that digital performance-based drama learning is a pedagogical innovation relevant to 21st-century competencies and can serve as a model for project-based curriculum development in literature education.

In the book Bina Belajar Al-Qur'an dan Hadith for grade V MI published by Erlangga Publisher in accordance with the madrasah curriculum (KMA) No. 183 of 2019, this book is analyzed by researchers in meeting the needs of 21st century learning, especially in developing critical thinking skills, creativity, communication, and collaboration. This study aims to analyze the feasibility of textbooks based on four aspects of the National Education Standards Agency (BSNP) standards, namely the feasibility of content, feasibility of presentation, language and graphics. This study uses a literature study approach (library study) which is used to collect various data sources from the book Bina Belajar Al-Qur'an dan Hadith, journals and others. The results of the study show that this book is in the very feasible category, with the suitability of the material to KMA No. 183 of 2019, the use of communicative language, and consistent graphic displays. However, deficiencies were found in the presentation aspect, such as the absence of concept maps, learning objectives, and the lack of contextual illustrations. Overall, this book remains relevant and can support the learning of the Qur'an and Hadith in MI.

Textbooks are the heart of the learning process, therefore an in-depth analysis of the suitability, relevance, and pedagogical potential of textbooks is crucial to ensure that learning outcomes can be achieved optimally. This study aims to analyze and describe based on aspects of content, presentation, language, graphics in the Indonesian language textbook for grade II elementary school revised independent curriculum published by Erlangga by Dr.A. Indradi, M.Pd & Rahmah Purwahida, S.Pd., M.Hum. The method used is qualitative descriptive analysis by referring to textbook feasibility guidelines. The results of the analysis show that this textbook is generally suitable for use. The suitability of the material with learning outcomes includes the development of four language skills, namely listening, speaking, reading, and writing, which are presented in an integrated and contextual manner. The presentation of the material is considered effective through the use of simple language, logical flow, and varied assignments. Overall, this textbook is a relevant and supportive learning resource in implementing the independent curriculum at the grade II elementary school level.

Measurement learning is a fundamental and applicable mathematical topic in everyday life, but it often causes learning difficulties for students, especially in understanding the meaning of units, relationships between quantities, and the conceptual measurement process. These difficulties are not only caused by students' limited cognitive abilities, but also by learning designs that do not fully facilitate social interaction and student learning development. This study aims to reconstruct the contextual didactic design in measurement learning by reviewing the role of social interaction and the Zone of Proximal Development (ZPD) in the student learning process. This study uses a qualitative approach with the type of Didactic Design Research (DDR). The research stages include analysis of the initial didactic situation to identify student learning barriers, implementation of contextual didactic design in measurement learning, and retrospective analysis of student responses as a basis for reconstructing the didactic design. Data were collected through learning observations, analysis of student work results, interviews, and learning documentation. Data analysis was carried out qualitatively by examining social interaction patterns, forms of scaffolding, and student movements in the Zone of Proximal Development. The results of this study indicate that understanding of measurement concepts develops through social interactions between students and between students and teachers within a meaningful learning context. Social interactions and scaffolding provided gradually can encourage students to move from actual abilities to potential abilities within the Zone of Proximal Development. Retrospective analysis indicates that reconstruction of the didactic design is necessary to refine the learning context, activity sequence, and scaffolding strategies to better align with students' learning characteristics. The reconstruction of the didactic design can reduce learning barriers and improve the quality of students' conceptual understanding in measurement learning. This research provides theoretical contributions to the study of social constructivism-based mathematics education and provides practical implications for teachers in designing measurement learning that is more responsive to social interactions and student learning development.

This study explores the integration of financial numeracy with local wisdom in mathematics education in Indonesia. By incorporating real-life financial scenarios, such as budgeting, saving, and investment calculations, into mathematics lessons, the research aims to enhance students' understanding of mathematical concepts while simultaneously improving their financial literacy. The study also emphasizes the importance of using local cultural and economic knowledge as a context for learning, making abstract mathematical concepts more relevant and accessible. The findings suggest that contextualizing mathematics education through local wisdom significantly improves student engagement, understanding, and practical application of mathematical knowledge. The integration of financial numeracy helps students make informed financial decisions and prepares them for future financial challenges. This research contributes to the development of a mathematics curriculum that combines financial literacy with local context, offering a more inclusive, relevant, and practical approach to education. The study’s findings contribute to the ongoing development of more inclusive, relevant, and practical educational frameworks that incorporate financial literacy into the mathematics curriculum.

Abstract. This study analyzed the effectiveness and impact of extracurricular programs at SMP Nurul Huda in Bogor Regency, Indonesia, aiming to identify areas for improvement in fostering holistic student development.  The research employed a qualitative approach, gathering data through interviews with eleven students and one teacher, supplemented by direct observation of extracurricular activities and document review.  Findings revealed that the effectiveness of the four extracurricular programs (scouting, pencak silat, flag raising team, and archery) was moderate, indicating significant room for improvement.  Interviews with students and teachers highlighted the need for enhanced performance in competitions, more structured evaluation methods, and increased oversight from school administration.  To optimize the programs' impact, the study recommends improvements in student performance, more robust evaluation systems, stronger administrative oversight, enhanced resources, and professional development for instructors.  These changes would better support the holistic development of students and contribute to a more effective extracurricular program.   Keywords: effectiveness , extracurricular activities, students   Abstrak. Penelitian ini menganalisis efektivitas dan dampak program ekstrakurikuler di SMP Nurul Huda, Kabupaten Bogor, Indonesia, dengan tujuan mengidentifikasi area peningkatan untuk pengembangan holistik siswa.  Penelitian ini menggunakan pendekatan kualitatif, mengumpulkan data melalui wawancara dengan sebelas siswa dan satu guru, dilengkapi dengan observasi langsung kegiatan ekstrakurikuler dan peninjauan dokumen.  Hasil penelitian menunjukkan bahwa efektivitas empat program ekstrakurikuler (pramuka, pencak silat, paskibra, dan panahan) berada pada tingkat sedang, yang mengindikasikan adanya ruang yang signifikan untuk perbaikan.  Wawancara dengan siswa dan guru menyoroti perlunya peningkatan prestasi dalam kompetisi, metode evaluasi yang lebih terstruktur, dan pengawasan yang lebih ketat dari pihak sekolah.  Untuk mengoptimalkan dampak program, penelitian ini merekomendasikan peningkatan prestasi siswa, sistem evaluasi yang lebih kuat, pengawasan administrasi yang lebih efektif, peningkatan sumber daya, dan pengembangan profesional bagi instruktur.  Perubahan-perubahan ini akan lebih mendukung pengembangan holistik siswa dan berkontribusi pada program ekstrakurikuler yang lebih efektif.   Kata kunci: efektivitas, ekstrakurikuler, siswa  

This study examines the effectiveness of interactive digital platforms in improving student academic outcomes. The integration of digital platforms in education is becoming increasingly important, but challenges arise regarding educators' adaptation of technology. This study analyzes the effectiveness of platforms such as Kahoot and Padlet through a systematic literature review. The study identifies gaps in previous research that focused more on platform features than on learning outcomes and educator adaptation. Using a systematic literature review of 45 peer-reviewed articles (2019-2024), this study explores the relationship between platform interactivity, educator technology proficiency, and measurable academic improvement. Data analysis uses thematic coding to identify patterns in successful digital learning implementation. The results show that interactive platforms can improve academic performance by 15-25% if educators have adequate technological skills, but success rates decline without proper training. This study proposes a comprehensive framework that integrates platform effectiveness metrics with educator development strategies. Recommendations include structured technology training programs and standardized assessment protocols to measure the effectiveness of digital learning.