Abstract:Digital transformation through Artificial Intelligence (AI) offers significant potential for enhancing elementary school teacher competence, yet its implementation remains largely technical and fragmented when detached from…
rom teachers’ religious and personal dimensions. This study addresses this gap by examining the integration of AI-assisted learning and Qur’anic tahsin development as a holistic model of teacher competency enhancement. Employing a qualitative case study design, the research was conducted at SD Negeri 200206 Padangsidimpuan, involving elementary school teachers, Islamic Religious Education teachers, school leadership, and facilitators of AI and tahsin training programs. Data were collected through in-depth interviews, classroom observations, and document analysis, and analyzed using an interactive analytical model with methodological triangulation. The findings reveal that the use of AI tools—such as ChatGPT, Gamma, and Canva AI—significantly improves instructional effectiveness and strengthens teachers’ pedagogical and professional competencies. Furthermore, AI-integrated Qur’anic tahsin training, particularly in makhārij al-ḥurūf and tajwīd, enhances teachers’ Qur’anic recitation quality while reinforcing their religious and personal competencies. This study contributes a value-based, integrative framework for teacher professional development that bridges digital innovation and Islamic educational values. Despite its potential, the model faces challenges related to digital literacy disparities, infrastructural readiness, and the need for sustained mentoring. The study advances scholarly discourse on ethically grounded AI integration in elementary education.
Abstract:The rapid digital transformation in education has redefined the role of teachers, necessitating the integration of Artificial Intelligence (AI) to enhance pedagogical efficiency. This study aims to analyze the needs of primary…
rimary school teachers regarding AI, describe the implementation of AI-assisted smart teaching training, and evaluate its impact on teachers' professional competence and the quality of produced instructional tools. Utilizing a descriptive qualitative approach with a field study design, the research was conducted at UPTD SD Negeri 33 Bangai. Data were collected through participatory observation, semi-structured interviews, and document analysis of teaching modules and worksheets. The subjects were selected via purposive sampling, and data were analyzed using the interactive model of reduction, display, and conclusion drawing. The results indicate that AI-assisted smart teaching training effectively shifts teachers from passive technology users to active pedagogical designers. Findings reveal a paradigm shift where teachers perceive AI as "augmenting intelligence" that strengthens rather than replaces their professional role. The instructional tools produced post-training showed significant improvements in systematic alignment and the integration of Higher-Order Thinking Skills (HOTS). Grounded in adult learning and experiential learning theories, this practice-based model fosters greater learning autonomy and reflective practice. This study contributes empirical evidence for the primary education context, suggesting that human-centered and pedagogically-driven AI integration is a vital strategy for teacher professional development in the digital era.
Abstract:This best practice study aims to develop 21st-century soft skills in students at MAN 1 Banda Aceh through the implementation of an artificial intelligence-based collaborative learning model called KOTAK (Artificial Intelligence-Based…
ligence-Based Brain Collaboration). The study used a qualitative case study design with 39 students. Data collection was conducted through learning observations, interviews, and analysis of student activities and learning outcomes in the Integrated Economic Exploration material. The KOTAK model was designed by integrating various easily accessible AI tools, such as Google Lens, ChatGPT, and QuestionWell, to support interactive, collaborative, and problem-solving-based learning. The results showed that implementing the KOTAK model significantly improved students' critical thinking, communication, collaboration, and creativity (4C) skills. Analysis of learning outcomes indicated a 94.87% absorption rate and achievement of the curriculum objectives for the taught material. The use of the AI platform has proven to be an effective interactive medium for encouraging active student engagement, strengthening higher-order thinking, and fostering collaboration in problem-solving. This research makes an original contribution by offering and testing a contextual learning model that integrates collaborative pedagogy and AI technology in a madrasah environment, while also presenting a practical framework for developing 21st-century skills in integrated subjects such as Economics, in line with the implementation of the Merdeka Curriculum.
Abstract:Elementary education plays a strategic role in shaping students’ character, civic attitudes, and social-emotional development. Civic Education is a fundamental subject for instilling democratic values, responsibility, and…
and social awareness from an early age. Meanwhile, the advancement of digital technology, particularly Artificial Intelligence (AI)–based learning media, offers new opportunities to improve the quality of learning in elementary schools. This study aims to analyze the existence of Civic Education and the use of AI-based learning media in supporting students’ social-emotional development. This research employed a descriptive qualitative approach and was conducted at SD Negeri 0722 PTPN IV Lubuk Bunut. Data were collected through observation, interviews, and documentation. The findings indicate that Civic Education plays a significant role in fostering students’ social attitudes, empathy, and responsibility, while AI-based learning media enhance students’ learning motivation and engagement when implemented appropriately and in accordance with developmental stages. The integration of Civic Education, AI-based media, and developmental psychology perspectives contributes positively to students’ social-emotional development in elementary education.
Abstract:This study aims to investigate the integration of Artificial Intelligence (AI)-based learning media to enhance reading literacy among elementary school students. Using a descriptive qualitative approach through case study…
y and literature analysis, the research was conducted at SDN No. 100311 Palsabolas, involving teachers and students who utilized adaptive reading applications, text-to-speech tools, and intelligent learning platforms. Data were collected through observation, semi-structured interviews, and document analysis, and validated by triangulation techniques. The findings reveal that AI-assisted media significantly improve students’ reading motivation, comprehension, and fluency. Quantitative comparison between pretest and posttest results showed notable progress, with the average literacy score increasing by 16–27 points across different indicators. Students demonstrated greater engagement and independence, while teachers benefited from automated performance analytics and personalized feedback tools. However, challenges emerged related to device limitations, technical competence, and overreliance on automated features. The study concludes that AI-based learning media serve not only as technological tools but also as pedagogical instruments that personalize instruction, foster digital literacy, and transform reading classrooms into more adaptive, interactive, and student-centered environments.
Abstract:The development of artificial intelligence (AI) technology has serious implications for the criminal justice system in Indonesia. The emergence of new forms of crime such as cyber laundering, deepfakes, and digital data…
manipulation raises questions about who should be held accountable. This study aims to examine the main challenges in applying criminal law to AI-based entities and offer normative and practical solutions to ensure legal certainty. By using a normative juridical approach and a literature review of Indonesian positive legal regulations and doctrines, this study is expected to contribute to the formation of a ius constituendum that is adaptive to the digital era. The results of the study demonstrate the urgency of reforming national criminal law to accommodate the legal status and responsibilities of AI in the Indonesian justice system.
Abstract:This study explores how incorporating artificial intelligence improves institutional resilience and overcomes the rigidity of conventional, data-based methods to alter financial risk management. To find patterns in AI applications,…
applications, resilience theory, and integration pathways, a qualitative systematic literature review was carried out utilizing theme synthesis in accordance with PRISMA peer-reviewed protocols. Findings show that AI techniques, machine learning for tail-risk detection, deep learning for high-frequency forecasting, and explainable AI for transparent decisions, yield up to 28% reductions in forecasting errors and halve recovery times during crises. The hybrid CNN Transformer architectures and transformer-based NLP models significantly enhance predictive accuracy and forward-looking insights. The study suggests financial institutions adopt integrated AI frameworks, invest in data quality and human–AI collaboration, and implement principle-based governance to balance innovation with fairness and stability. Limitations include reliance on published literature and limited representation of emerging AI models, warranting future longitudinal and context-specific empirical research.
Abstract:This study aims to describe the utilization of interactive technology and artificial intelligence (AI) to enhance the competencies of 21st-century teachers within the Educational Coordination Office of Pangkatan Sub-District,…
rict, Labuhanbatu Regency, North Sumatra Province. The research employed a descriptive qualitative method with a field study approach through a six-day workshop. The subjects of this study consisted of 20 elementary school teachers who participated in training sessions on Quizizz, Wordwall, and the use of AI tools such as ChatGPT in the learning process. Data were collected through observation, interviews, pre-test and post-test assessments, as well as documentation, and were analyzed through data reduction, data presentation, and conclusion drawing. The findings indicate a significant improvement in teachers’ understanding and skills in integrating interactive technology and AI into the learning process. The average pre-test score of 70.00% increased to 89.00% in the post-test, indicating a 19.00% improvement in competency. In addition, teachers successfully developed gamification-based learning media using Quizizz and Wordwall, and utilized artificial intelligence to efficiently design teaching materials and evaluation tasks. The workshop activities also fostered teachers’ motivation, creativity, and digital awareness regarding the importance of innovation in 21st-century education.This study affirms that the integration of interactive technology and AI not only enhances teachers’ pedagogical competencies but also contributes to the development of a more adaptive, collaborative, and digitally relevant learning ecosystem aligned with the needs of the modern era.
Abstract:The rapid advancement of artificial intelligence (AI) offers new opportunities to enhance teaching and learning in early education. This study applies deep learning approaches to support early cognitive development among…
primary students in an Indonesian Islamic school. A hybrid Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) model was designed to analyse students’ cognitive patterns, attention, and engagement. Using a mixed-methods design, the research involved 60 students aged 8–10 at MIS Terpadu Alhijrah Bintuju. The model processed multimodal classroom data to generate adaptive feedback and personalized learning pathways. Results showed significant improvements in attention (+18%), memory recall (+22%), and problem-solving (+25%) after eight weeks of AI-assisted learning. Qualitative findings revealed higher motivation, engagement, and self-regulation. The study demonstrates that culturally aligned AI systems can effectively enhance early cognitive development and promote learner autonomy in Islamic primary education.
Abstract:The rapid advancement of Artificial Intelligence (AI) presents both opportunities and challenges for elementary education. Teachers play a strategic role in preparing young learners to understand and adapt to technology…
critically, creatively, and ethically. This study aims to analyze the role of elementary school teachers in integrating AI concepts through simple coding activities, as well as to identify the strategies and challenges encountered during implementation. The research employed a qualitative descriptive approach, using interviews, classroom observations, and document analysis as data collection techniques.
The findings reveal that teachers serve as digital learning facilitators, innovators in designing coding-based learning activities, and ethical guides who help students use technology responsibly. Simple coding activities effectively foster students’ logical thinking, creativity, and digital collaboration skills. However, limited technological infrastructure and insufficient teacher training remain major obstacles to sustainable implementation. Therefore, systemic support through educational policy, professional development, and adaptive curriculum design is essential.
Integrating AI concepts through simple coding in elementary schools not only enhances digital literacy but also cultivates ethical awareness and social responsibility toward technology. With collaborative support from educators, institutions, and policymakers, elementary education can become a foundational stage for shaping a generation that is intelligent, creative, and morally grounded in the era of artificial intelligence