Proceeding of the International Conference on Global Education and Learning
Journal Title : Proceeding of the International Conference on Global Education and Learning Initials : ICGEL Frequency : June and December Online ISSN : 3089-8072 Editor in Chief : Alfina Wildatul Fitriyah, S. Pd., M. Pd DOI : 10.62951 Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia Proceeding of the International Conference on Global Education and Learning, It's a collection of papers or scientific articles that have been presented at the National Research Conference which is held regularly every two years by the Asosiasi Riset Ilmu Pendidikan Indonesia. The paper topics published in the Proceeding of the International Conference on Global Education and Learning the sub-groups of Social Science Education, Language and Literature, Sports and Health, Mathematics and MIPA, Technology and Vocational Studies, Education and Arts, and other relevant fields and published twice a year (June and December). Proceeding of the International Conference on Global Education and Learning published by Asosiasi Riset Ilmu Pendidikan Indonesia, in collaboration with universities and supported by the Asosiasi Pengelola Jurnal Indonesia. Indexed by:
Asosiasi Riset Ilmu Pendidikan Indonesia
Implementation of Action Learning and Experiential Learning in Islamic Boarding Schools: A Systematic Literature Review
Islamic boarding schools (pesantren) as Islamic educational institutions face modernization challenges in developing effective learning methods. Action learning as an experience and reflection-based learning approach emerges as a relevant alternative. This article aims to conduct a systematic literature review on the implementation of action learning and experiential learning in Indonesian Islamic boarding school education. The research method uses a systematic literature review approach by analyzing 15 indexed journal articles from the 2018-2025 period. Inclusion criteria include articles in Indonesian and English, published in accredited journals, and discussing action learning or experiential learning in Islamic boarding schools. Analysis results reveal three main findings: (1) action research has been implemented to address specific problems such as student mental health with humanistic and participatory approaches, (2) experiential learning is applied through hadith learning, entrepreneurship programs, and life skills development that enhance cognitive abilities, communication, and student adaptation, (3) integration of action learning with pesantren values creates a distinctive learning model combining tradition and innovation. Identified research gaps include minimal longitudinal studies, lack of long-term impact measurement, and limited comparative analysis among pesantren. This study recommends developing a theoretical framework for action learning contextual to pesantren characteristics and further research with more comprehensive methodologies.
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Women, Peace, and Education: Gendered Dimensions of Multicultural Harmony in Singkawang
This study analyzes the role of women in sustaining social harmony and strengthening multicultural education within the multiethnic society of Singkawang through a critical literature review approach. By integrating the Feminist Peace Theory and Multicultural Education Theory, this research examines both national and international scholarly works that explore women’s contributions to peacebuilding and multicultural education in Southeast Asia. The review reveals that women serve as cultural mediators, peace educators, and social innovators through interethnic and interfaith engagements such as cultural festivals, interreligious forums, and community-based initiatives. Despite notable progress in promoting multicultural education in Singkawang, gender perspectives remain insufficiently integrated into educational practices. Through a synthesis of the reviewed literature, this study proposes a conceptual framework of Gendered Multicultural Peace Education (GMPE), comprising three interrelated dimensions: women’s empowerment in educational and social leadership, empathy-based interethnic learning, and the integration of gender equality into curricula and school culture. The model underscores the strategic role of women as transformative agents and peace educators in multiethnic societies. The findings provide significant implications for the development of gender-sensitive and inclusive educational policies in Indonesia
The Effectiveness of Game-Based Learning Interactive E-Modules in Enhancing Students' Learning Concentration: A Systematic Literature Review
This systematic literature review examines the effectiveness of game-based learning (GBL) interactive e-modules in improving students' learning concentration. The study synthesizes the findings from eight research articles published between 2012 and 2025. The analysis reveals that GBL-based e-modules significantly enhance learning motivation, with validity rates ranging from 90% to 99%. Additionally, the use of interactive platforms such as Wordwall, Gimkit, and other digital tools effectively supports various learning styles, particularly visual and kinesthetic learners. The review highlights that student engagement levels improve significantly, ranging from 67.42% to 87.12%. Furthermore, these e-modules positively impact learning outcomes, providing a more engaging and interactive approach to education. By integrating gamification elements, the e-modules create a dynamic and motivating learning environment that fosters better concentration and focus among students. The review concludes that GBL-based e-modules are an effective educational strategy, particularly in geography education at the high school level. These tools not only engage students in a fun and interactive manner but also improve their ability to focus, leading to enhanced learning experiences. As a result, incorporating GBL-based e-modules in educational practices can contribute to better learning concentration and overall academic performance.
The Effect of Digital Learning Innovation on Enhancing Deep Learning and Student Engagement in Secondary Schools
The rapid advancement of digital technology has transformed the landscape of education, particularly in secondary schools. This study investigates the influence of digital learning innovation on enhancing deep learning and student engagement. Using a quantitative survey method, data were collected from 150 secondary school students in Indonesia who actively use digital learning platforms such as Learning Management Systems (LMS), mobile learning applications, and hybrid learning models. The research instrument consisted of a closed-ended questionnaire using a five-point Likert scale, which measured students’ perceptions of digital learning innovation, their engagement levels, and indicators of deep learning. Data were analyzed through simple linear regression using SPSS version 25. The results indicate a strong and significant positive relationship between digital learning innovation and both deep learning and student engagement, with a correlation coefficient (R) of 0.732 and an R² value of 0.536. This finding suggests that digital learning innovation explains 53.6% of the variation in students’ deep learning and engagement levels. Students who frequently use digital learning technologies tend to show higher motivation, independence, critical thinking, and reflective learning behavior. The study concludes that digital learning innovation plays a crucial role in supporting meaningful learning and active participation. It highlights the importance of integrating technology strategically into school-based learning to foster adaptive, collaborative, and lifelong learners in the digital era.
The Effectiveness of the Video-Assisted Problem-Based Learning Model of Doratoon Animation on Students' Understanding of Social Studies Subject Concepts in Grade VIII of SMP Negeri 6 Sengah Temila
This study aims to determine the effectiveness of the Problem-Based Learning (PBL) model assisted by Doratoon animation videos on students’ conceptual understanding in Social Studies for eighth-grade students of SMP Negeri 6 Sengah Temila. This research employed a quantitative approach using a quasi-experimental method with a Pretest-Posttest Control Group Design. The population in this study consisted of all eighth-grade students, with two classes selected as samples using a purposive sampling technique. The experimental class was taught using the PBL model assisted by Doratoon animation videos, while the control class used Canva media. The research instrument was a multiple-choice test consisting of 20 questions administered before and after the treatment to measure students’ conceptual understanding. The data analysis results showed that the average N-Gain score of the experimental class was 21.6% (low category), while the control class scored 22.6% (low category). The independent sample t-test yielded a significance value of 0.000 < 0.05, indicating a significant difference between the experimental and control classes. Therefore, the Problem-Based Learning model assisted by Doratoon animation videos was proven to be more effective than Canva media in improving students’ conceptual understanding in Social Studies. The results of this study are expected to serve as a reference for teachers in applying innovative learning media to support more interactive and meaningful learning.
From the Altar (Dor) to the Church Pulpit: Transforming the Worship Values of the Klon Tribe in Christian Religious Education
This study explores the transformation of traditional worship values within the Klon tribe community in Alor, East Nusa Tenggara. Prior to their conversion to Christianity, the community practiced a religious system centered on mesbah (stone altars) where they worshiped ancestral spirits and local deities. The introduction of Christianity through inculturation led to a significant shift in worship practices, transitioning from rituals at the mesbah to those at the church pulpit. However, rather than losing their spiritual and communal values, these traditions adapted and were integrated into Christian practices. The study highlights how elements of local wisdom were preserved and transformed, creating a bridge between indigenous beliefs and Christian teachings. This transformation demonstrates that the core values of worship such as reverence for ancestors and community solidarity continued to play a role in the newly adopted Christian practices. The findings of this study emphasize the importance of understanding such cultural transformations, especially in the context of Christian Religious Education. It suggests that contextualizing religious teachings within local traditions and wisdom can foster a deeper, more meaningful connection to faith for communities undergoing cultural change. By valuing these local traditions, Christian Religious Education can become more relevant and impactful, encouraging a harmonious blending of old and new beliefs.
Synthesis of Learning Styles and Learning Media to Optimize 21st Century Skills in Vocational Education: A Systematic Literature Review
This systematic literature review examines the relationship between learning styles and learning media in optimizing 21st-century skills among Diploma Three (D3) vocational students. Through systematic analysis of 74 relevant national and international journal articles published between 2018 and 2024 from Scopus database, this study reveals that the alignment between learning styles (visual, auditory, kinesthetic) and learning media significantly influences the development of critical thinking, creativity, communication, and collaboration skills. Technology-based media such as interactive videos, learning management systems (LMS), and virtual simulations effectively accommodate diverse learning preferences while enhancing students' motivation and engagement in the learning process. The findings indicate that e-modules integrating problem-based learning (PBL) demonstrate effectiveness rates of 65-85% in improving critical thinking skills. This research concludes that the integration of learning styles with digital-based learning media serves as an effective strategy to produce competent and adaptive vocational graduates who are well-prepared to face the challenges of Industry 4.0 and Society 5.0.
The Influence of the Deep Learning Approach on Students’ Problem-Solving Skills, Digital Literacy, and Learning Outcomes
This research aims to analyze the influence of Deep Learning on problem-solving skills, digital literacy, and student learning outcomes. The background of this research is based on the educational needs of the 21st century, which require students' critical thinking skills, adequate digital literacy, and optimal academic achievement. This research was conducted quantitatively using a quasi-experimental method. The study involved 121 tenth-grade students, and the total sampling method was used to select the research sample. The research instruments consist of questionnaires on the Deep Learning approach to problem-solving skills, digital literacy, and learning outcomes tests. Data analysis using the MANOVA test to determine the partial and simultaneous influence of Deep Learning on the dependent variables. The research results show that Deep Learning has a significant effect on students' problem-solving skills, digital literacy, and learning outcomes, both partially and simultaneously. The results indicate that the application of Deep Learning can improve students' higher-order thinking skills and prepare them to face the challenges of the digital era. Therefore, to achieve sustainable improvement in learning processes and outcomes, teachers and educational institutions must integrate this approach into their teaching strategies.
Integrating Local Culture in Higher Education: Foundation of Indonesia’s National Identity
Local culture plays a strategic role in shaping and maintaining the identity of the diverse Indonesian nation. In the context of higher education, local culture does not merely function as a heritage of tradition but also as a source of values and character that can strengthen students’ national consciousness. This research aims to analyze the role of local culture as the foundation of national identity at the university and to identify strategies for implementing cultural values in the educational process and at campus life. This research employes a descriptive qualitative approach using interviews, Focus Group Discussions (FGDs), participatory observation, and document analysis to collect data. The findings indicate that the internalization of local cultural values through curriculum, student activities, and academic culture can strengthen the self-identity of students as the nation’s next generation. Thus, higher education institutions play a crucial role as agents of cultural preservation while simultaneously driving national ideology through the development of academic and non-academic programs rooted in local values. Thus, strengthening local culture in higher education is a strategic step in building a national identity that is characterized, competitive, and uniquely Indonesian.
Digital Literacy Assisted by E-Litera Media Nonfiction Text Materials to Increase Interest in Learning
The objective of this research is to improve student learning interest in nonfiction texts through the implementation of E-Litera, a digital-based interactive literacy media. This study utilized a classroom action research design conducted in two cycles involving 24 fourth-grade students at SDN Sidomulyo. Data were obtained from questionnaires, observations, interviews, and documentation. The results showed a significant improvement in student learning outcomes throughout the research process. In the pre-action phase, only 8 students (33.3%) achieved the minimum mastery criteria, while 16 students (66.7%) did not meet the criteria. This figure increased to 12 students (50%) in the first cycle, and significantly rose to 20 students (83.3%) in the second cycle. The enhanced performance in the final cycle reflects the effectiveness of E-Litera in providing visually engaging and structured content, which helped deepen students' understanding of nonfiction materials. These findings support the use of E-Litera as a meaningful and engaging digital media to foster reading interest and improve comprehension skills in elementary education. By using E-Litera, the teaching and learning process can be more effective and enjoyable, ultimately improving the quality of student learning.
Analysis of Training Design Needs for Accounting Vocational Teachers Using Project Based Learning Approach to Achieve Deep Learning: A Systematic Literature Review
This study analyzes the need for training design for accounting vocational teachers using Project Based Learning (PjBL) approach to achieve deep learning through systematic literature review. The gap in teachers' competence in implementing PjBL and the limitations of relevant training designs are major problems in vocational education. This research aims to identify trends, gaps, and needs for developing PjBL-based accounting teacher training designs oriented towards achieving deep learning. The systematic literature review method was employed by analyzing 25 articles from Scopus, ScienceDirect, and Google Scholar databases from 2018-2025. The research identified 25 unique articles categorized into three main themes: Deep Learning perspectives (10 articles), Vocational Teacher Training and Development (6 articles), and Project-Based Learning implementation (9 articles). The results show four main trends: (1) increased global adoption of PjBL as an innovative learning method, (2) demands from accounting professional organizations for active learning methods, (3) popularity of deep learning concepts in contemporary educational literature integrated with 21st-century skills, and (4) urgent need for comprehensive teacher training designs. Significant gaps were identified in the limitations of relevant training designs for vocational contexts and lack of systematic training development research. This study concludes that accounting vocational teacher training designs with PjBL approach are urgently needed to bridge the gap between theoretical competence and practical industry applications, with emphasis on achieving holistic deep learning encompassing cognitive, interpersonal, and intrapersonal domains.
Effectiveness of Using AI Perplexity in Designing Science Learning Materials
The rapid development of Artificial Intelligence (AI) has opened new opportunities for teachers in designing instructional materials. This study aims to describe the effectiveness of using Perplexity AI in designing Natural and Social Science Knowledge (IPAS) materials in elementary schools. Using a quantitative descriptive approach, data was collected through questionnaires from three elementary school teachers as a preliminary study (pilot study). The indicators measured included ease of use, time efficiency, material quality, and usefulness. The research results indicate that Perplexity AI is highly effective, with an overall average score of 4.29, falling into the "Good" category. These findings demonstrate that Perplexity AI significantly supports teachers in organizing systematic lesson plans and improving teaching material preparation. This research provides a foundation for the broader implementation of AI tools in the education sector, suggesting that AI can be an effective aid in the development of educational content, ultimately enhancing the teaching and learning experience in schools.
AI-Driven Proactive Monitoring: Mitigating Agency Costs and Financial Risk
Background: In the domain of corporate governance, the separation of ownership and control generates significant agency conflicts, primarily manifesting as Earnings Management (EM). Traditional reactive auditing methods fail to detect manipulation concealed within unstructured data, leading to high agency costs and diminished stakeholder trust. Objective: This study proposes an "AI Proactive Monitoring Model" utilizing Generative Artificial Intelligence to fundamentally enhance the monitoring mechanisms of Agency Theory. Methods: The research employs a qualitative conceptual framework analysis. It synthesizes Agency Theory with the Technology Acceptance Model (TAM) and Systemic Risk Theory to construct a novel strategic governance model. Results: The proposed model shifts governance from periodic sampling to real-time, continuous analysis of total data populations. By cross-referencing structured financial data with unstructured communications (e.g., emails, contracts), the system generates "Risk Narratives" that contextualize anomalies and flag opportunistic behavior immediately. Conclusion: The integration of AI significantly reduces information asymmetry and moral hazard by creating a "panopticon" effect. However, successful implementation requires distinct regulatory frameworks to manage the systemic risks associated with algorithmic reliance.
The Effect of AI-Based Deep Learning on Narrative Writing Skills for Elementary School Students
Narrative writing skills are crucial for the literacy development of elementary school students. However, many students face challenges in writing narrative essays due to limited vocabulary, grammar understanding, and imagination. Traditional teaching methods often fail to address these issues. This study explores the impact of AI-based Deep Learning on narrative writing skills. Using a quantitative approach with an experimental design, the research employed a pretest-posttest design with a nonrandomized control group. The study involved 65 students from SD 4 Sidomulyo, including 30 students from class IV A and 35 from class IV B. A nonprobability sampling technique with saturated sampling was used. Data was collected through tests, and content validity was applied for validation. Hypothesis testing with the Independent Samples t-test yielded a significance value of 0.001 (p < 0.05) and a calculated t-value of 3.472, which is greater than the t-table value of 2.0024. These results indicate that AI-based Deep Learning significantly affects narrative writing skills in elementary school students. Keywords: AI-Based Deep Learning, Narrative Writing Skills.
Preservice Teachers’ Perceptions of AI-Powered Adaptive Learning Models
The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.
From Rule-Based Nahwu to Adaptive Learning Systems: Reconceptualizing Arabic Grammar Instruction in the AI Era
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.
Application of Deep Learning in Reading Literacy to Improve in Depth Understanding of Texts in 6th Grade Elementary School Students
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.
The Effect of the AI-Based Intelligent Tutor Sistem (ITS) on the Understanding of Mathematical Concepts in Grade V Students of SD Negeri 2 Badran, Temanggung
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.
Readiness of Elementary School Teachers in Implementing AI-Based Learning in the Era of Artificial Intelligence
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.
Application of Deep Learning-Based Tolerance Values to Support Classroom Management in Class VI SDN Beji 01 Ungaran Timur
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 Impact of Using AI Chatbots in Science Learning on the Questioning Behavior of 5th Grade Students at SDN Plalangan 03 Gunungpati Semarang City
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.
Utilization of GPT Chat for Teachers in Developing Creative Teaching Materials in Grade V of Elementary School
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.
Bilingual Story Apps for Heritage Language Maintenance: Breaking Language Loss Barriers
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.
RoRo Ship Transportation Policy Implementation to Optimize National Logistics Distribution in Indonesia’s 3T Regions
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.
ChatGPT in the Classroom: Opportunities and Ethical Challenges for Academic Integrity
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.
Beyond the Classroom: Mobile-Assisted Learning for Medical Communication Competence in Indonesia
Effective communication is a key competency for medical professionals, but traditional classroom-based methods in Indonesia face challenges such as limited practice, geographical barriers, and insufficient exposure to diverse patient scenarios. Mobile-assisted learning (MAL) offers a promising solution to enhance medical communication training outside traditional settings. This study investigates the effectiveness of MAL interventions in developing communication skills among Indonesian medical students and healthcare professionals. A mixed-methods approach was used, involving a quasi-experimental design with pre- and post-assessments of communication competence among 180 participants from three Indonesian medical schools. The MAL intervention included a mobile app with video demonstrations, interactive case scenarios, peer feedback, and microlearning modules. Quantitative data showed a significant improvement in communication competence (mean increase of 23.4%, p<0.001), with notable gains in information gathering (28%), relationship building (26%), and patient education (21%). The mobile platform saw high engagement (average of 4.3 sessions/week) and 87% module completion. Qualitative data revealed increased confidence in consultations, improved cultural sensitivity, and better time management. Challenges included inconsistent internet access, varying digital literacy, and resistance from traditional educators. MAL shows potential for improving medical communication in Indonesia, offering flexible, accessible training. Successful implementation requires addressing infrastructure issues, integrating MAL into existing curricula, and training faculty. This study adds to the growing evidence supporting technology-enhanced medical education in resource-limited settings.
Natural Language Processing for Multilingual Education: Breaking Language Barriers
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.
Virtual Teaching Assistants: The Role of AI Chatbots in Student Support Services
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.
The Effectiveness of Interactive Digital Platforms in Improving Academic Outcomes: A Systematic Literature Review
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.
Contextualized Financial Numeracy in Mathematics Education: Integrating Local Knowledge Within Global Educational Practices
This study aims to explore the integration of financial literacy into context-based mathematics education at the elementary school level by emphasizing the use of local knowledge in learning activities. Employing a qualitative descriptive approach, this research investigates the experiences and perceptions of students and teachers involved in mathematics learning that connects mathematical concepts with real-life financial situations, such as budgeting, saving, and personal financial management. Data were collected through interviews, classroom observations, and documentation analysis to obtain a comprehensive understanding of the learning process and its outcomes. The findings indicate that integrating financial literacy into context-based mathematics learning enhances the relevance of mathematical content and facilitates students’ conceptual understanding. Students reported increased interest and engagement in mathematics lessons, as well as greater confidence in applying mathematical skills to manage personal finances. The use of familiar financial contexts enabled students to perceive mathematics as meaningful and applicable to their daily lives. Teachers identified limited instructional time and difficulties in explaining abstract concepts as key obstacles in the implementation process. Overall, the results suggest that context-based mathematics learning integrated with financial literacy has strong potential to improve students’ mathematical understanding and financial awareness while fostering practical life skills. Nevertheless, effective implementation requires careful instructional planning, adequate time allocation, and appropriate pedagogical strategies to address complex financial concepts. This study contributes to the growing body of research on contextualized mathematics education by highlighting the importance of integrating local context and financial literacy to enhance the quality and relevance of elementary mathematics education.
Classroom Social Dynamics in Learning Measurement: Evidence from Contextual Learning Situations
Measurement is a fundamental domain of mathematics that connects formal mathematical concepts with everyday experiences. Despite its practical relevance, students often experience persistent difficulties in understanding measurement conceptually, tending to approach it as a procedural activity rather than as a process of reasoning about quantities, units, and comparisons. These challenges indicate that learning measurement is influenced not only by individual cognitive factors but also by the social dynamics that shape classroom learning environments. This study aims to examine classroom social dynamics in learning measurement by providing empirical evidence from contextual learning situations. This study employed a qualitative research approach to explore how social interaction, scaffolding, and participation mediate students’ understanding of measurement in contextual learning environments. Data were collected through classroom observations, video recordings of learning activities, analysis of students’ written work, and interviews with selected students and the teacher. Contextual measurement tasks were designed to encourage collaboration, dialogue, and justification, enabling the examination of student–student and teacher–student interactions as they naturally occurred in the classroom. Data analysis was conducted iteratively to identify patterns of interaction, forms of scaffolding, and students’ learning progression within the Zone of Proximal Development. The findings reveal that students initially engaged with measurement tasks in a predominantly procedural manner, with limited conceptual understanding and minimal peer interaction. After the implementation of contextual learning situations, classroom social dynamics changed substantially. Students became more actively involved in discussion, collaborative problem-solving, and collective meaning-making. Peer interaction supported the articulation and refinement of students’ reasoning, while teacher scaffolding guided learning by extending students’ thinking without providing direct solutions. These social processes facilitated students’ movement from their actual level of understanding toward higher levels of conceptual competence within the Zone of Proximal Development. The study further shows that contextual learning tasks alone are insufficient to promote meaningful understanding unless they are supported by productive social interaction and adaptive scaffolding. Conceptual understanding of measurement emerged through socially mediated processes rather than through task completion alone. This study contributes to mathematics education research by emphasizing the central role of classroom social dynamics in contextual learning and by offering insights into how interaction and scaffolding can be orchestrated to support students’ conceptual understanding of measurement.