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The rapid development of digital technology demands character education as well as ethical guidelines for interacting in social media, especially social media manners in Islamic views at Berkah Integrated MTs Palangkaraya. This study aims to assess the validity of teaching modules on adab social media in the view of Islam for class VIII students of MTs Terpadu Berkah. The research method used is Research and Development (R&D) with the ADDIE model at the analysis and design stages. Validation was carried out by four experts, namely 2 material experts, and 2 design experts. The assessment included six aspects: content suitability, alignment with the curriculum, relevance to students, language, layout and design, and learning evaluation. Data were analyzed using a Likert scale to calculate the percentage of validity. The results showed that the teaching module had an average validity of 80%, which included the valid category. This shows that the module is feasible to use in learning. However, there are some minor revisions that need to be made, such as improving visual design, images, fonts, and simplifying language, and adding learning activities that are more interactive and fun. In conclusion, this teaching module can be used as a teacher's guide in learning that helps students understand and apply social media manners in accordance with Islamic values. Additional revisions from validators are expected to increase the effectiveness of the teaching module for students

Named Entity Recognition (NER) is a crucial natural language processing task that extracts and classifies named entities from unstructured text into predefined categories. While existing NER methods have shown success in general domains, they often face significant challenges when applied to specialized contexts like Filipino cultural and historical texts. These challenges stem from the unique linguistic features, and diverse naming conventions. This research introduces an enhanced rule-based NER approach that specifically addresses these challenges. At its core, the system utilizes curated Corpus of Historical Filipino and Philippine English (COHFIE), which serves as both training and evaluation data. This research presents an enhanced rule-based approach for NER using a Corpus of Historical Filipino and Philippine English (COHFIE) building on pattern-learning methods, incorporating character and token features, and by using positive and negative example sets. To enrich the classification process, we used the International Committee for Documentation – Conceptual Reference Model (CIDOC-CRM), a cultural heritage framework, to provide a more nuanced categorization of entities based on their historical and cultural significance. Tested across existing Filipino based models (calamanCy and RoBERTa Tagalog), the enhanced model shows improvement on identifying entities related to Filipino culture (CUL) and history terms (PER, ORG, LOC).

Education as a systematic effort to form a complete human being has given birth to various schools of thought that have developed throughout history. Each school has unique characteristics in understanding the nature of education, goals, methods and roles of educators and students. The traditionalist school of education emphasizes the importance of inheriting past values ​​and knowledge through structured methods. Meanwhile, progressivism prioritizes students' learning experiences with a flexible and contextual approach. Existentialism focuses on individual freedom in determining the direction of education, while essentialism focuses on mastering basic knowledge and core skills. The flow of social reconstructionism encourages education as a tool to improve social conditions and create better social change. This research aims to provide a comprehensive overview of the basic concepts of various schools of education, so that it can become a theoretical basis for developing educational models that are relevant to today's challenges.  

This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in perfect classification, with all models attaining accuracy, precision, recall, and an F1-score of 1.00. The main finding is that the QML architecture successfully achieves flawless classification, contributing significantly to the field. These results underscore the potential of QML in solving complex classification problems and highlight its promise for future applications across various domains. The study concludes that QML techniques can offer transformative solutions in machine learning tasks, particularly those leveraging VQC, QNN, and QSVM.

This study explores the integration of artificial intelligence (AI) in education, particularly in supporting personalized learning. AI presents new opportunities through adaptive learning platforms, virtual tutors, and intelligent assessment systems that have the potential to revolutionize teaching and learning methods. By conducting in-depth data analysis, AI can identify student performance patterns and provide tailored recommendations, enabling educators to deliver more targeted interventions. Furthermore, personalized learning plays a crucial role in enhancing student motivation and engagement by customizing learning experiences to meet individual needs and learning styles. This study aims to implement personalized learning strategies in educational settings and offers insights into best practices for their integration. It also examines their impact on student engagement and academic achievement. The findings highlight the importance of personalized learning in fostering an inclusive and effective educational environment. By leveraging AI, educators can optimize learning, empower students, and address achievement gaps. This study provides practical recommendations for educators and policymakers to implement AI-based learning strategies effectively.

This study was aimed to describe: (1) the effectiveness of learning with a blended learning model using scientific (2) the effectiveness of scientific approach; and (3) the difference in the effectiveness of learning with a blended learning model using scientific approach and learning using scientific approach in terms of critical thinking, and learning independence of mathematics students in high school. The research type is quasi-experiment. The population was all 11th grade students of SMA in semester II of 2024/2025. The sample was established randomly consisting of class XI MIA 2 as the experiment class and XI MIA 1 as the control class. The data collection method uses research instruments in the form of a Learning Independence Test of 15 multiple choice questions, a Critical Thinking Test of 4 descriptive questions, and a Learning Independence Questionnaire of 20 statement, administered as pretests and posttests. To assess the effectiveness of blended learning with a scientific approach and the scientific approach alone, a one-sample mean vector test was conducted, followed by a one-sample t-test. Differences in effectiveness were analyzed using an independent two-sample mean vector test (T² Hotelling). If analysis revealed significant differences between the two classes, an independent sample t-test for comparison was conducted. The results showed that: (1) learning with blended learning model using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; (2) learning using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; and (3) learning with blended learning model using scientific approach is more effective than learning using scientific approach in terms of critical thinking, and independence of learning mathematics of high school students.

Academic supervision plays a strategic role in ensuring the quality of learning in educational institutions, including at YLA Cibadak Vocational School. This research aims to explore the role of academic supervision in improving the quality of learning through a collaboration-oriented approach, developing teacher competence, and pedagogical innovation. Using descriptive qualitative research methods, data was obtained through observation, in-depth interviews, and analysis of supervision documents. The research results show that effective academic supervision not only functions as an evaluation tool, but also as a medium for educational transformation that involves teachers as strategic partners. The main findings underline the importance of two-way communication patterns, preparing needs-based follow-up plans, and empowering teachers through ongoing training and mentoring. This research recommends a supervision model based on empathy and local contextualization that is able to answer the unique needs of SMK YLA Cibadak, as well as being an inspiration for other institutions. With this approach, academic supervision can be a driving force in creating a dynamic, adaptive and quality-oriented learning ecosystem.

In this study, the goal is to compare the academic results of economics students from Pasuruan Public Secondary School 3 classes, which use the PBL learning model, inquiry-based learning and discovery-based learning. Consistent with the description of unequal groups, this study used an experimental methodology that included three types of trials, each using a unique teaching model. An analysis of the pretest and posttest results was carried out to identify possible differences in the academic performance of the students. Although several teaching models were implemented, The findings showed that there was no significant difference in academic performance across the three groups. The Kruskal-Wallis test produces an Asymp value. signature. of 0.274, which means there is no significant difference between learning models. Therefore, the application of the PBL, inquiry and discovery learning model can be said to have no significant effect on student academic achievement.

This study aims to describe the implementation of exemplary methods in moral learning, especially in the material of speaking manners at Muhammadiyah Boarding School Tarakan. The method in this study uses a qualitative approach, with the type of case study research. Data collection techniques with observations, interviews and documents on teachers and students. The results of the study show that the exemplary method applied in moral learning has a positive impact on changing student behavior, especially in terms of speaking politely and respecting others. Learning is carried out through the opening, core, and closing stages that emphasize the importance of speaking manners in daily life. The teacher acts as the main role model by showing speaking manners that are in accordance with the teachings of Islam. Although the exemplary method has proven to be effective, the biggest challenge lies in the istiqomama of students in applying speaking manners in daily life.

Character education plays a crucial role in shaping a young generation with noble character, responsibility, and positive values. Teachers, as primary educators, hold a strategic role in shaping students' character in schools. This study aims to analyze the role of teachers in character education relevant to human resource (HR) development. The research employs a qualitative descriptive approach using literature review methods from various relevant journals. The findings reveal that the role of teachers is not only limited to teaching but also includes being role models, motivators, facilitators, and moral guides for students. Teachers are required to have academic competence, a personality aligned with Islamic values, and the ability to design learning strategies that support character education. Effective strategies include role modeling, giving advice, habituation, providing educational sanctions, and environmental supervision. Additionally, moral approaches such as moral modeling, moral knowing, and moral acting are implemented to instill character values. However, challenges in character development include a lack of parental support, apathy from some students and teachers, limited funding, and weak supervision in the school environment. The study also found that character education can be strengthened through collaboration between schools, committees, and parents in building routine and spontaneous activities that motivate students to exhibit positive behavior.