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This research aims to explore the controversy over the use of religious education in the Indonesian curriculum and its impact on increasing interfaith tolerance among students. This study uses a qualitative approach with unit analysis in schools in Indonesia that implement religious education in their curriculum. The research design used is a case study with the main data sources obtained through in-depth interviews with teachers, principals, and students, as well as the analysis of religious education policy documents. Data collection techniques include interviews, observations, and analysis of religious education policy documents. The data were analysed using thematic analysis techniques to identify patterns related to the implementation of religious education and tolerance. The findings of the study show that although there are religious education policies that lead to tolerant learning, their implementation is still highly variable and influenced by more exclusive approaches in some areas. The contribution of this research is to provide insight into the importance of designing a religious education curriculum that is more inclusive and based on the values of tolerance, as well as strengthening the role of the community and parents in the teaching process to increase interfaith tolerance in Indonesia.

This research aims to explore how the transformation of environmental education in the primary school curriculum can contribute to dealing with the climate crisis. The design of this study uses a qualitative approach with analysis units in elementary schools that have integrated environmental education into their curriculum. The data sources were obtained from interviews with teachers, school principals, and an analysis of applied educational curriculum documents. Data collection techniques include in-depth interviews, classroom observations, and document analysis related to the environmental curriculum. Data analysis was carried out using a thematic analysis approach to identify how environmental education can affect students' understanding of the issue of the climate crisis. The findings of the study show that despite efforts to integrate environmental education in the basic curriculum, its implementation is still limited and inconsistent across schools. The contribution of this research is to provide recommendations on how the basic curriculum can be updated to teach more deeply about the climate crisis, so as to increase awareness and positive actions from the younger generation in protecting the environment.

This research aims to analyse the transition from traditional leadership models to collaborative and agile approaches in management, as well as explore the challenges and opportunities that arise in the process of change. Using a qualitative research design with a case study approach, the unit of analysis is an organisation that has experienced or is transforming from traditional leadership to a more collaborative and agile managerial approach. Data sources were obtained through interviews with managers, line managers, and team members, as well as analysis of organisational policy documents related to leadership and the implementation of agile methodologies. The data collection techniques used include semi-structured interviews, direct observation, and document analysis. Data were analysed using thematic analysis methods to identify patterns and themes related to leadership transition and their impact on organisational performance. The research findings show that while the transition to collaborative and agile leadership provides benefits in terms of flexibility and collaboration, many organisations face difficulties in changing established organisational cultures. The contribution of this research is to provide insight into how this leadership change can improve work dynamics and organisational performance, as well as provide recommendations to overcome the challenges faced during the implementation of these changes.

This study aims to explore the progress of the education evaluation system in improving accountability in Indonesian schools. This study uses a qualitative approach with the analysis units of school principals, teachers, and education supervisors. The research design used is a case study with primary data sources obtained through in-depth interviews and observations. The data collection technique involves semi-structured interviews and documentation, while the data analysis is carried out using thematic analysis techniques. The findings of the study show that the progress of the education evaluation system in Indonesian schools has increased accountability, although there are still challenges in its implementation evenly across regions. The contribution of this research is to provide a deeper understanding of the role of educational evaluation in increasing accountability and to provide recommendations for the development of a more effective evaluation system in Indonesia.

This study aims to explore how the transformation of religious education can increase tolerance in Indonesian schools in the context of multicultural education. This study uses a qualitative approach with an analysis unit in schools that implement a religious education curriculum. The research design is in the form of a case study with primary data sources consisting of religious teachers, students, and school principals. Data collection techniques include in-depth interviews, observations, and documentation. Data were analysed using thematic analysis to identify patterns related to the influence of religious education on tolerance between students from various backgrounds. The findings of the study show that an inclusive and values-based approach to religious education contributes to the creation of a harmonious and respectful environment in schools. The contribution of this research is to provide insight into the importance of religious education transformation in creating tolerance in multicultural Indonesian schools.

This research aims to examine the role of digital transformation in improving the quality of business education in Indonesian universities. The approach used is qualitative research with a case study design, where the analysis unit involves universities in Indonesia that have implemented digital technology in the business learning process. Data sources were obtained through interviews with education managers, lecturers, and students, as well as analysis of policy documents related to the use of technology in education. Data collection techniques were carried out through in-depth interviews, observations, and document studies, while data analysis was carried out with a thematic analysis approach to identify patterns that emerged in the implementation of digital transformation. The findings of the study show that digital transformation has had a positive impact on learning interactions, material quality, and student engagement in business education. The contribution of this research lies in a deeper understanding of how the application of technology can improve the effectiveness of business education, especially in Indonesia.

This research aims to explore changes in social education in Indonesian schools and their impact on improving students' social awareness. This study uses a qualitative design with an analysis unit on social education policies, teachers, and students in several elementary and secondary schools. Data sources were obtained through interviews with principals, social education teachers, and students, as well as direct observations in the classroom. Data collection techniques were carried out by semi-structured interviews, observations, and documentation studies, while data analysis used a thematic analysis approach to identify key themes related to the influence of social education on students' social awareness. The findings of the study suggest that although social education curriculum changes aim to increase social awareness, their implementation is constrained by a lack of training for teachers and limited resources. The contribution of this research is to provide insight into the importance of social education in shaping students' social awareness, as well as offer recommendations for improving social education policies in Indonesian schools.

This study aims to explore the role of leadership transformation in facing challenges and opportunities in secondary schools in welcoming the era of technology-based education. Using a qualitative research design, the unit of this research analysis is the principal and teacher in several secondary schools. The data sources were obtained from in-depth interviews and observations of the leadership practices applied in these schools. Data collection techniques use semi-structured interviews and documentation, while data analysis is carried out through thematic analysis approaches to identify patterns and meanings in the leadership transformation process. The findings of the study show that adaptive and technology-based leadership affects the effectiveness of school management, improves teacher performance, and enriches students' learning experiences. The contribution of this research is to provide insight into how education leaders can utilise technology in the process of leadership transformation in secondary schools, which can be a reference for education policies in the face of changing times.

This study aims to examine the application of artificial intelligence (AI)--based education management in improving personalized philosophy learning. This study uses a qualitative approach with case study methods in several educational institutions that apply artificial intelligence-based educational technology. Data were collected through in-depth interviews with educators, focus group interviews with students, and observations on the implementation of artificial intelligence systems in philosophy learning. Data analysis was carried out using thematic analysis techniques to identify patterns of the use of educational technology in facilitating more personalized learning. The results of the study show that artificial intelligence-based education management can increase student involvement and deeper understanding of philosophy materials. The contribution of this research is to provide insight into how artificial intelligence technology can optimize the philosophy learning process with a more personalized and effective approach.

This study aims to analyze the implementation of data-based management in improving the effectiveness of education in AI-assisted learning at the high school level. The analysis units in this study are data management systems and AI learning strategies in schools. The research design used is a qualitative study with a descriptive approach. The main data sources consist of principals, teachers, and high school students involved in the use of AI in learning. Data collection techniques include in-depth interviews, observations, and document analysis. The data is analyzed using thematic analysis techniques to identify patterns in the implementation of data-based management. The results show that the optimal use of data-based management can increase the effectiveness of AI-assisted learning through adaptive and evidence-based strategies. The main contribution of this research is to provide insights into how systematic data management can support technology-based educational innovation in the school environment.

This research aims to explore bilingual education management to improve the global competence of junior high school students and the preservation of local languages. The unit of analysis of this study is the policy of bilingual education management in junior high schools and its implementation in teaching. The research design used is qualitative research with a case study approach. Data sources were obtained from participants consisting of principals, teachers, and students in junior high schools who implemented bilingual programs. The data collection techniques used were in-depth interviews, participatory observations, and analysis of policy documents. Data analysis was carried out using thematic analysis techniques to identify the main patterns that emerged from the collected data. The key findings suggest that while bilingual education management can improve students' global competence, there are challenges in maintaining the preservation of local languages in bilingual classrooms. The main contribution of this research is to provide insight into the challenges and opportunities of integrating bilingual education with local language preservation, as well as its implications for education policies in junior high schools.

This study aims to examine the application of artificial intelligence technology in the transformation of education management in Junior High Schools to improve learning effectiveness. The research method used is a qualitative approach with a case study design, which involves observation, in-depth interviews with principals, teachers, and students, as well as analysis of documents related to the implementation of artificial intelligence-based digital learning. The data obtained was analyzed using thematic analysis techniques to identify the challenges, opportunities, and impacts of artificial intelligence technology in learning in junior high schools. The results of the study show that the application of artificial intelligence can increase the effectiveness of learning, especially in terms of personalization of learning and management of student learning time. The contribution of this research provides insight into the importance of artificial intelligence technology-based education management in improving the quality of learning at the junior high school level.

This study aims to analyze the implementation of data-based management in improving the effectiveness of AI-assisted learning in Senior High School. The unit of analysis in this study is a school that implements a data-based management system in AI-assisted learning. The research design used is a qualitative study with a case study approach. The research data sources consist of school principals, teachers, and students involved in the implementation of AI-assisted learning. Data collection techniques include in-depth interviews, participatory observation, and analysis of school documents. The data obtained was analyzed using thematic analysis techniques to identify patterns and relationships between concepts. Key findings show that the implementation of data-driven management can improve learning personalization, optimization of teaching strategies, and the effectiveness of the use of AI in the learning process. The main contribution of this research is to provide empirical insights into the role of data-driven management in supporting AI-assisted learning innovations at the secondary education level.

This study aims to analyze how digital storytelling can increase the involvement of high school students in reading English texts. The research method used is qualitative with a case study approach, where data is collected through in-depth interviews with teachers and students, observation of the learning process, and analysis of documentation related to the application of digital storytelling in the classroom. The interviews aimed to explore the experiences and perceptions of students and teachers, while observations were made to observe changes in the level of student involvement in reading texts. The data obtained was analyzed by thematic analysis techniques to identify patterns of student involvement in the digital storytelling-based learning process. The validity of the data is maintained through triangulation of sources and methods to ensure the validity of the research findings. The results of the study show that digital storytelling significantly increases student engagement in reading English texts by presenting a more interactive and engaging learning experience. The contribution of this research provides insight for educators about the effectiveness of digital storytelling as an innovative strategy for improving students' literacy skills at the high school level.

This study aims to analyze the strategy of using artificial intelligence using ChatGPT to improve the efficiency of education management in the era of technological transformation. This research uses qualitative methods, especially using a case study approach that focuses on educational institutions that have integrated artificial intelligence technology. Data was collected through comprehensive interviews with relevant stakeholders, observations related to technology implementation, and analysis of documentation related to managerial policies and practices. Techniques for data analysis are carried out thematically to distinguish patterns in innovative strategies in digital education. The findings show that the application of artificial intelligence through ChatGPT significantly improves management efficiency by automating administrative tasks, facilitating data-driven decision-making, and encouraging increased adaptive interaction in learning environments. This research offers valuable insights for education administrators in formulating innovation strategies based on artificial intelligence to accelerate technological transformation in the education sector.

This study aims to analyze the role of school-based management in the integration of educational technology with ChatGPT to support instructional strategies in language learning for junior high school students. This study uses a qualitative approach with a case study method, where data is collected through in-depth interviews with principals, teachers, and students, as well as observation of learning activities and analysis of school policy documents. The research subjects were selected purposively to obtain relevant information regarding the implementation of technology-based instructional strategies. Data analysis was carried out by data reduction techniques, data presentation, and conclusion drawing to identify patterns in school management that support or hinder the integration of technology in language learning. The results of the study show that the success of technology integration in language learning depends on systematic school management policies, teacher readiness, and infrastructure support. This research contributes to providing insight for schools in designing more effective technology-based policies to improve the quality of language learning at the junior high school level.