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This community service program aims to improve teachers' competency in developing short story writing assessment instruments. This is crucial to ensure objective assessments for all students. This community service program contributes to the Indonesian language curriculum, particularly the short story writing curriculum. This community service program was conducted at Urumb State Junior High School in Merauke, with eight teachers participating. The school faced challenges in assessing the lack of objectivity, specifically the use of assessment instruments that align with the learning objectives. Furthermore, students' short story writing skills were still very low. This community service program enabled teachers to develop valid and reliable short story writing assessment instruments. The program took the form of a workshop, which included outreach through training, mentoring, and discussions with the implementation team. During the training phase, the implementation team provided students with an initial understanding of the importance of objective assessment. This was because, in addition to identifying student abilities, teachers could also assess the success of the teaching and learning process in the classroom. During the mentoring phase, the team provided direct guidance to train teachers in developing short story assessment instruments for student assignments. The questions in the assignments are written in language that is easy for students to understand. After developing the assessment instrument, which is the student assignment, a group discussion is held to refine the short story writing assessment instrument. Furthermore, students can improve their short story writing skills through the assignments in the assessment instrument.

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.

The integration of information and communication technology (ICT) is essential for supporting student-centered learning and developing 21st-century skills. However, many primary school teachers still experience difficulties in implementing ICT meaningfully due to limited digital pedagogical competence and a lack of contextualized professional development, particularly in primary and Islamic school contexts. This study aims to explore the implementation and outcomes of an ICT-based teacher training programs conducted through a field study approach, focusing on its influence on teachers’ digital pedagogical competence and instructional practices. A qualitative descriptive field study design was employed. Participants were primary school teachers from an Islamic public school in Indonesia who took part in a six-session ICT training programs. Data were collected through observations, documentation of teachers’ digital products, and reflective field notes, and analyzed using thematic analysis. The findings reveal improvements in teachers’ pedagogical understanding of ICT, technical skills, and readiness for classroom implementation. Teachers produced various ICT-based learning media aligned with instructional objectives, including interactive quizzes, game-based activities, visual materials, animated videos, and digital classrooms. High levels of engagement and collaboration were observed despite infrastructural challenges. Field-based, practice-oriented ICT training effectively bridges technological skills and pedagogical application, supporting sustainable digital pedagogy in primary education.

This community service activity aims to improve the knowledge and skills of Aisyiyah Kindergarten teachers in developing their potential and professional competence related to the implementation of inclusive education. Inclusive education requires teachers to have a sufficient understanding of the characteristics of children with special needs (ABK) and the ability to manage diverse students in the classroom. This activity was implemented in the form of systematically designed and applicable workshops and seminars. The training materials covered four main components: recognizing the characteristics of children with special needs, the concepts and principles of inclusive education, curriculum accommodations and assessments in inclusive classrooms, and techniques for identifying and evaluating learning for children with special needs. The results of the activity showed a significant increase in teachers' understanding and skills in managing inclusive classrooms, particularly in developing Individual Learning Plans (ILPs) tailored to the needs of the children. Teachers also became more confident in implementing adaptive and responsive learning strategies to the diversity of students. However, the sustainability of the program still faces several challenges, including limited supporting resources and minimal parental involvement and support. Therefore, ongoing synergy between schools, parents, and other stakeholders is needed to support the optimal implementation of inclusive education.

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.

This training aims to strengthen local wisdom-based character for students at SMPN 3 Want Jaya, Aceh Besar Regency with traditional meudike art material. This training was carried out using lecture methods, learning by doing, discussion and question and answer. The first training session was conducted directly by Syeh Medya Hus as a meudike expert and the second session was carried out with group training. The results of the training show that this training can positively contribute to strengthening the religious, social and responsible character of students at SMPN 3 Want Jaya which is reflected in their seriousness, sincerity, cohesiveness, cooperation, helping each other during the ongoing training process. Therefore, this training can continue to be developed both in formal and extracurricular learning processes at school to create a generation that loves cultural identity and national identity.

This study discusses the implementation of the Self-Directed Learning Programme by integrating Learning Outcomes (CP), Learning Objectives (TP), and Learning Objective Processes (ATP) to enhance teaching quality and teacher professionalism. Using a library research method, this study analyses relevant scientific literature to understand the relationship between the integration of the three components of the education programme and classroom teaching practices. The research findings indicate that teachers still encounter challenges in understanding and integrating CP, TP, and ATP, particularly in planning, implementing teaching strategies, and conducting authentic assessments. However, when this integration is well executed, the teaching process becomes more purposeful, flexible and responsive to students' needs. Furthermore, integrating CP–TP–ATP has been shown to strengthen teachers' professionalism by enhancing their understanding of the curriculum, their ability to design learning activities, and their capacity to conduct competency-based assessment. This study confirms that the successful implementation of the Free Education Programme depends heavily on teachers' ability to understand the curriculum's structure and to integrate these three components consistently. Therefore, training, supporting, and developing teachers' competencies is an important requirement for the effective and sustainable implementation of the Liberal Education Programme.

Innovation in biology learning is increasingly necessary, as conventional instructional practices are often dominated by memorization-based methods that limit students’ active engagement and critical thinking development. Along with rapid advances in science and technology, digital applications offer new opportunities to enhance teaching and learning processes. One such application is Canva, a digital design platform that can be utilized as an effective learning media to support teachers and students in biology education. This study aims to describe the implementation of Canva-based learning media through a training program conducted at SMA Islam Terpadu Daarul Rahman and to examine its perceived usefulness for both teachers and students. The training involved teachers in developing biology learning materials using Canva by integrating visual elements, images, and videos to present complex biological concepts more clearly. The results of the training indicate that Canva is considered practical, user-friendly, and efficient by teachers in designing learning materials. Teachers reported that the application helped them present content in a more attractive and structured manner. Furthermore, students benefited from the use of Canva-based materials, as they demonstrated better understanding of the subject matter and increased interest in learning biology. The integration of visual and multimedia elements also supported the development of students’ critical thinking skills by encouraging analysis and interpretation of biological phenomena. Overall, the use of Canva as a learning medium shows potential to enhance the quality of biology learning and foster more meaningful learning experiences.

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.

This study aims to examine the use of artificial intelligence (AI) in transforming Buddhist Sunday School education at the Shimakalingga Temple in Jepara in the digital era. Using a qualitative descriptive approach, data were collected through observation, interviews, and documentation studies. The results show that AI technology is beginning to be utilized in the learning process, such as the use of interactive visual media, Dharma quiz applications, and digital platforms for distance learning. The use of AI has been proven to increase student interest and understanding of Buddhist teachings, as well as support more inclusive and adaptive learning. However, challenges remain, including limited resources, lack of teacher training, and the need for ethical guidelines for the use of AI in the context of religious education. This study concludes that AI plays a significant role in supporting the transformation of Buddhist education, but its use must remain balanced with spiritual values and the role of teachers as moral guides. Therefore, collaboration between the temple, educators, and technology is needed to create a sustainable learning system based on Dharma values.

This paper reviews the role of Artificial Intelligence (AI) in Islamic education within secondary schools, emphasizing both its practical uses and the ethical challenges it presents. The review looks into the current trends, tools, and the impact of AI on the learning experience, as well as its ethical implications from an Islamic perspective. The study follows a systematic literature review (SLR) approach based on the PRISMA guidelines and includes research from 2022 to 2025, sourced from platforms like Google Scholar. After a thorough selection process, 15 articles were included in the review, offering valuable insights into the technological and ethical aspects of AI in Islamic secondary education. The use of AI has notably enhanced learning outcomes in Islamic education by allowing personalized learning, boosting student engagement, and streamlining feedback mechanisms. Tools like intelligent tutoring systems and educational chatbots have been widely adopted. However, challenges around data privacy, algorithmic bias, and technology access persist. Additionally, incorporating Islamic ethical values into AI-driven educational platforms presents both opportunities and challenges. Addressing these ethical implications is vital, requiring frameworks that align with Islamic principles such as maṣlaḥa (public welfare), justice, and human dignity. Education policies and teacher training programs should concentrate on promoting the responsible use of AI, ensuring it improves educational experiences while preserving ethical and cultural integrity.

MA Sakti Ngebel, a secondary education institution in Ngebel District, Ponorogo Regency, has excellent potential to develop more context-based chemistry learning. MA Sakti students have previously struggled to understand fundamental chemistry concepts, particularly in relating them to everyday phenomena. Students tend to memorize formulas without understanding the meanings and applications of the concepts. Therefore, an effort is needed to implement simple, applicable, and school-specific learning innovations. One relevant approach is the implementation of Fun Chemistry Learning based chemistry practicums. The purpose of this community service (PKM) activity is to strengthen the understanding of chemistry concepts at MA Sakti Ngebel Ponorogo through FCL-based chemistry practicums. The stages of this PKM activity are program socialization, training, implementation of FCL learning innovations, mentoring, evaluation, and program sustainability. The N-gain analysis of the pretest and posttest results indicates that the increase in students’ knowledge of chemistry concepts falls in the moderate range. The results of the overall satisfaction questionnaire showed that the lowest level of satisfaction was in the aspect of time management and events during the PKM activities (45% of students considered it very satisfactory), while the highest level of satisfaction was in the aspect of motivation to learn chemistry after the PKM activities and the effectiveness of the FCL training carried out (both of which 70% of students considered it very satisfactory).

The development of educational tourism villages is one of the sustainable tourism strategies that integrates learning activities, environmental conservation, and local community empowerment. This study aims to analyze the potential and development strategies of Belawa Village as an educational tourism village in Cirebon Regency. The research employed a qualitative method with a case study approach. Data were collected through field observations, in-depth interviews with managers and community members, and literature review. The results indicate that Belawa Village has strong tourism potential, particularly in educational tourism based on the conservation of the Belawa softshell turtle (Amyda cartilaginea), nature-based tourism, and local cultural tourism. Educational activities such as outing classes, animal introduction programs, environmental education, and cultural arts training have been implemented and fulfill the elements of something to see and something to do in educational tourism. However, the development of this educational tourism village has not yet been optimal due to limitations in destination management, supporting facilities and infrastructure, promotion, and human resource capacity. Therefore, integrated development is required through the packaging of educational tourism attractions, improvement of human resource competencies, provision of supporting facilities, and collaboration among the government, community, academics, and tourism stakeholders. The development of Belawa Village as an educational tourism village has the potential to provide economic, social, and educational benefits while supporting environmental conservation and strengthening local cultural identity.

This study aims to evaluate the implementation and impact of an English training workshop for early childhood education teachers in Surakarta. The study employed a program evaluation design using a qualitative descriptive approach involving twenty playgroup and kindergarten teachers. The workshop was conducted over four days and was designed based on a needs analysis obtained through a pre-test and preliminary interviews. Data were collected through pre-test and post-test results, reflective questionnaires, and semi-structured interviews. The qualitative data were analyzed using thematic analysis. The findings indicate that the workshop had a positive impact on participants’ English proficiency as well as their affective aspects, particularly their confidence in using English in the classroom. The thematic analysis identified three main themes: emotional responses, understanding of the material, and collaboration. Participants demonstrated increased enthusiasm, reduced anxiety, and improved self-confidence. Contextual and practical materials helped participants connect theoretical concepts with classroom practice. Furthermore, interactive activities and collaborative discussions strengthened professional engagement and peer learning. These findings confirm that structured and needs-based training is effective in supporting the sustainable professional development of early childhood education teachers and contributes to improving the quality of English instruction in the classroom.

Outcome-Based Education (OBE) has emerged as a strategic approach to improving graduate quality in higher education, including pastoral colleges. The pastoral education context in Indonesia, particularly in island regions such as Nias, requires the integration of academic, spiritual, and pastoral dimensions in the learning process. This study aims to analyze the strategies for implementing OBE at the Pastoral College Dian Mandala Gunungsitoli and to identify its supporting factors and challenges. A qualitative research design with a literature review approach was applied, drawing on 25 scientific articles published between 2021 and 2025. The analysis involved identifying main themes, categorizing supporting and challenging factors, and synthesizing strategies for implementation. The findings indicate that OBE implementation includes developing curriculum documents aligned with the Indonesian National Qualification Framework (KKNI) and National Standards of Higher Education (SN-Dikti), strengthening faculty capacity through training, integrating innovative learning models, and applying authentic assessment that evaluates both academic and spiritual competencies. Supporting factors consist of institutional leadership commitment, the availability of curriculum information systems, and collaboration with external stakeholders. Major challenges involve limited faculty understanding of OBE, inadequate technological infrastructure, and resistance to changes in academic culture. This study concludes that OBE can enhance graduates’ competencies and strengthen pastoral identity, provided that faculty training, internal quality assurance systems, and the integration of local wisdom into the curriculum are consistently developed.

This study investigates the influence of financial literacy, entrepreneurship training, and financial inclusion on the performance of micro, small, and medium enterprises (MSMEs) through business sustainability. Using a systematic literature review (SLR) examines the impact of financial literacy, entrepreneurship training, and financial inclusion on MSME performance through business sustainability mediation by synthesizing empirical data from 12 research (2020–2025) across Scopus and Web of Science. Positive direct effects on sustainability (financial literacy via budgeting/risk management; training via adaptive resilience; inclusiveness via digital access) and performance metrics like profitability/growth are confirmed by results using the PRISMA 2020 flow.  Amid obstacles like financial access restrictions and COVID-19 disruptions, business sustainability appears as a crucial mediator, linking these factors to improved MSME results in developing contexts (Africa, Indonesia). Practical implications compel policymakers to give integrated literacy programs, contextual training, and inclusive finance top priority. Theoretical contributions combine financial literacy, entrepreneurial learning, and sustainability ideas into a holistic mediation model. The results highlight the importance of integrating financial education, entrepreneurial skill development, and inclusive financial systems to strengthen MSME resilience and competitiveness. This study provides practical implications for policymakers, financial institutions, and support organisations in designing effective interventions that foster sustainable business growth. The research also contributes theoretically by confirming the mediating role of business sustainability in the relationship between financial literacy, entrepreneurship training, financial inclusion, and MSME performance. Future studies may expand these insights by examining additional contextual factors such as digital technology adoption and business networking that further support sustainable MSME development.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Learning Islamic jurisprudence (fiqh taharah) is an important foundation in developing correct worship habits in children. This community service research examines the implementation of Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim Al Falah Tangerang with the aim of improving knowledge, practical skills in ablution, and the capacity of teachers in teaching children. The method used is an asset-based community development (ABCD) approach and a participatory-educational approach that combines short theory sessions, demonstrations, repeated practice, and non-written practical evaluations. Data were collected through observation, interviews, direct practice, and formative evaluations during the activities. The results show an increase in participants' conceptual understanding of hadas and najis (impurity) and improved ablution practical skills, characterized by enthusiasm, the ability to imitate the ablution sequence more accurately, and a positive response to practical learning methods. In addition, the program encourages teachers' awareness to implement skills-based evaluation and enrich learning methods according to children's characteristics. In conclusion, Islamic jurisprudence (fiqh taharah) learning at Majlis Taklim is more effective when it is practice-oriented, participatory, and sustainable; Follow-up recommendations include routine ablution practices, pedagogical training for teachers, and the provision of simple media to support learning.

Flower disease detection is a common challenge in modern agriculture. Various factors, such as changes in leaf color, shape, petal structure, and environmental conditions, make it difficult to achieve high accuracy with conventional models. Transfer learning is an effective solution to improve model performance in image detection, especially when available data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The process included data processing, increasing the data volume, model training, and result verification. The results showed that the EfficientNet-B0 model provided the highest accuracy of 97.2%, significantly better than the CNN model created from scratch with an accuracy of 85.1%. This study proves that the transfer learning method is very effective in improving the accuracy of flower disease detection. These results confirm that transfer learning is effective for detecting plant diseases with higher accuracy, especially when the dataset is limited.  

The integration of Artificial Intelligence (AI) into educational settings, particularly in formative assessments, offers significant benefits in terms of personalized learning, real time feedback, and increased efficiency. However, the successful implementation of AI driven formative assessments depends not only on technological capabilities but also on socio cultural and organizational factors that shape its adoption. This study explores the socio technical factors influencing the use of AI in formative assessments, emphasizing the importance of considering cultural diversity, institutional culture, and educators' beliefs. AI technologies, while powerful in automating grading and providing personalized assessments, often face limitations in addressing complex student responses that require human judgment. Furthermore, cultural factors, such as students' prior exposure to technology and different cultural attitudes towards AI, play a critical role in the acceptance and effectiveness of these tools. Organizational factors, including leadership support, digital literacy, and the readiness of institutions to adopt AI, are also key determinants in the successful implementation of AI systems in education. Teachers’ beliefs about assessment influence their acceptance and use of AI tools, highlighting the need for professional development and training to ensure that AI enhances pedagogical goals rather than replacing human expertise. The study concludes that the alignment of technology, culture, and assessment beliefs is essential for the effective use of AI driven formative assessments in educational settings. Recommendations for educational institutions include adopting a socio technical approach to AI integration, with a focus on providing resources, training, and fostering a culture of innovation. Future research directions should focus on expanding studies to diverse educational contexts, conducting longitudinal research on AI’s impact on learning outcomes, and exploring additional socio technical frameworks to guide AI adoption in education.