Abstract:Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan kompetensi guru Pendidikan Anak Usia Dini (PAUD) melalui penguatan literasi dan pengembangan media pembelajaran berbasis deep learning. Program…
dilaksanakan dalam bentuk pelatihan, pendampingan, dan praktik pembuatan media pembelajaran berupa buku cerita anak yang kreatif dan edukatif. Permasalahan utama yang dihadapi mitra adalah rendahnya kreativitas guru dalam mengembangkan media pembelajaran literasi serta minimnya kolaborasi antara guru, sekolah, dan orang tua dalam mendukung pembelajaran anak usia dini.
Metode pelaksanaan kegiatan menggunakan pendekatan andragogi melalui model Project Based Learning (PBL) dan pendampingan intensif (coaching clinic). Tahapan kegiatan meliputi In-Service Training, On-the-Job Learning, implementasi pembelajaran di kelas, serta evaluasi hasil kegiatan melalui pre-test dan post-test. Peserta kegiatan berjumlah 38 guru PAUD dengan 32 responden yang mengisi instrumen evaluasi.
Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta setelah mengikuti pelatihan. Nilai rata-rata pre-test sebesar 10,3 meningkat menjadi 11,8 pada post-test. Selain itu, peserta mampu menghasilkan produk media pembelajaran berupa buku cerita anak yang sesuai dengan karakteristik anak usia dini dan mengintegrasikan unsur kreativitas, kolaborasi, serta nilai edukatif dalam pembelajaran. Kegiatan ini juga meningkatkan pemahaman guru mengenai penerapan deep learning, pemanfaatan media pembelajaran inovatif, serta penggunaan teknologi dan AI secara bijak dalam pendidikan.
Dengan demikian, kegiatan PKM ini berhasil meningkatkan kompetensi guru PAUD dalam pengembangan literasi dan media pembelajaran berbasis deep learning. Program ini diharapkan dapat mendukung terciptanya ekosistem pembelajaran yang kreatif, kolaboratif, dan bermakna bagi anak usia dini.
Abstract:Pendidikan Pancasila menghadapi tantangan dalam meningkatkan kompetensi pedagogik guru, khususnya dalam menyampaikan nilai-nilai Pancasila secara efektif. Penelitian ini menyelidiki dampak pengintegrasian pembelajaran mendalam…
ndalam adaptif terhadap peningkatan kompetensi guru madrasah di Kecamatan Undaan. Dengan menggunakan pendekatan kuantitatif dan Structural Equation Modeling (SEM), penelitian ini mengeksplorasi hubungan antara inovasi pembelajaran, teknologi pembelajaran mendalam, dan dukungan infrastruktur digital. Temuan penelitian mengungkapkan bahwa pembelajaran mendalam secara signifikan meningkatkan kompetensi pedagogik guru (β = 0,72, p < 0,001). Inovasi pembelajaran Pancasila memberikan kontribusi positif (β = 0,65, p < 0,01), dan dukungan infrastruktur digital memperkuat efektivitas pembelajaran mendalam (p < 0,05). Hasil ini menegaskan bahwa teknologi adaptif dapat mempercepat transformasi pedagogik dan meningkatkan efektivitas pengajaran Pancasila. Penelitian ini berkontribusi pada pengembangan strategi pengajaran berbasis teknologi dalam pendidikan karakter dan menawarkan rekomendasi bagi para pembuat kebijakan untuk memperkuat ekosistem digital dalam pendidikan. Penelitian lebih lanjut dianjurkan untuk mengeksplorasi dampak jangka panjang penerapan pembelajaran mendalam dalam pengajaran dan menilai efektivitasnya di berbagai tingkat pendidikan.
Abstract:Development is a continuous process of qualitative change towards maturity, marked by increased organ function, cognitive, emotional, motoric, and behavioral abilities. Early adulthood is a period of human development from…
om adolescence to adulthood. Early adulthood begins between the ages of 16 and 40. In the human lifespan, adulthood plays an important role as a phase in which individuals experience various changes and adjustments. In this developmental process, several possible behavioral changes are very influential, including hedonism. The view of hedonism is often associated with consumptive and hedonistic behavior. People who adhere to hedonism will always seek ways to obtain pleasure, whether material, physical, or spiritual pleasure. Related to the increasingly advanced world of education, various learning models are implemented as an effort to adapt to the times. One of them is the deep learning learning model, deep learning is a pedagogical approach that focuses on understanding substantial concepts in depth, not just the breadth of material, through meaningful, conscious, and enjoyable (holistic) learning experiences. This study aims to analyze how hedonism in the application of the deep learning learning model influences the development of students' early adulthood, using qualitative descriptive methods. The research results show a significant influence between hedonistic attitudes in the application of deep learning and early adulthood development, as seen through observations and interviews conducted directly during the learning process. One observation revealed that students appeared relaxed and enjoyed group assignments, as some paid to be relieved of responsibility for completing them.
Abstract:The digital technology revolution has catalyzed a fundamental paradigmatic transformation in the global education ecosystem, creating a new era where technology integration has become a strategic imperative in effective…
and sustainable learning management. One of the most disruptive technological innovations that has become the primary focus in educational transformation is Artificial Intelligence (AI), which has demonstrated extraordinary potential in revolutionizing various aspects of learning management through sophisticated adaptive capabilities, deep learning personalization, and comprehensive administrative automation. This research aims to comprehensively and systematically examine the multidimensional role of AI in enhancing the quality of learning management in the digital era, with in-depth analytical focus on three fundamental pillars: strategic learning planning, pedagogical process implementation, and learning outcome evaluation. The research methodology employs a rigorous Systematic Literature Review (SLR) approach, analyzing over 150 high-quality scientific articles from leading national and international journals published between 2014-2024, utilizing a thematic synthesis framework to identify emergent patterns and significant trends in AI implementation in education. Research findings reveal that AI implementation in learning management produces multifaceted transformative impacts, including significant improvements in pedagogical decision-making quality through predictive analytics and data-driven insights, strengthening the strategic role of teachers as adaptive and responsive learning facilitators, and expanding democratic learning accessibility through adaptive learning systems and intelligent tutoring systems technologies. AI has also proven effective in optimizing educational resource allocation, enhancing student engagement through intelligent gamification, and facilitating inclusive and equitable learning.
However, this research also identifies complex challenges that must be addressed in AI implementation, including significant technological infrastructure gaps particularly in remote areas, limitations in educators' digital literacy affecting technology adoption, and ethics and data privacy issues requiring comprehensive regulatory frameworks. The implications of this research emphasize the need for a holistic and structured approach in integrating AI into educational systems, considering technological, pedagogical, and socio-cultural aspects in a balanced manner to achieve sustainable and positively impactful educational transformation.
Abstract:The development of artificial intelligence (AI) technology, especially deep learning, has made significant contributions in various fields, including the world of education. In the context of Islamic Religious Education…
(PAI), the biggest challenge today is how to deliver teaching materials effectively, adaptively, and relevant to the development of the times and the characteristics of the digital generation. Deep learning implementations offer a variety of opportunities to support a more personalized, interactive, and efficient learning process. Through an algorithm-based approach, deep learning is able to process student learning data to provide a learning experience tailored to individual learning styles. The application of this technology also allows for automatic assessment of students' understanding through text, voice, and expression analysis, so that teachers can focus more on providing character development and spiritual values. On the other hand, the use of AI-based chatbots and intelligent assistants can facilitate discussions and consultations about Islamic teachings instantly and factually. The methodology used in this study is a descriptive qualitative study with a literature study and case study approach. Data were collected through a review of national and international scientific literature and focused observations on the practice of AI implementation in several madrassas and Islamic schools in Indonesia. The analysis was carried out thematically by identifying patterns, opportunities, and challenges of applying deep learning in PAI learning. The results of this study are expected to make a scientific contribution to the development of technology-based Islamic education in the digital era.
Abstract:In the era of artificial intelligence (AI), the rise of pornographic deepfakes poses a serious threat to human dignity, privacy, and social stability. This phenomenon exploits deep learning technology to manipulate individuals’…
iduals’ faces into non-consensual pornographic content, often targeting women and public figures. This paper examines the ethics of Ibn Miskawayh, a 10th-century Muslim philosopher, specifically the concept of hifz al-nasl (preservation of lineage) as one of the five maqasid al-shari’a (Islamic principles), to address this issue. Hifz al-nasl emphasizes the protection of human lineage, including family honor, women’s dignity, and social integrity, which are relevant to the psychological damage, trauma, and moral degradation caused by deepfakes. Through an analysis of the texts Tahdhib al-Akhlaq and Al-Fauz al-Asghar, this concept is outlined as a preventive and curative principle: prevention through strengthening individual morals and regulating technology, and treatment through restorative justice. Ibn Miskawayh combines Aristotelian philosophy with Islam, making hifz al-nasl a collective obligation to maintain the balance of the soul (nafs) and society. Its applications to deepfakes include: (1) ethical use of AI based on piety and ‘adl; (2) legal regulations that protect privacy as an extension of preserving lineage; and (3) moral education to build digital resilience. This study concludes that Ibn Miskawaih’s approach offers a holistic framework, integrating spiritual, ethical, and legal dimensions, that is more adaptive than technological solutions alone. Recommendations include the development of contemporary fatwas and ethical AI platforms for the digital age.
Abstract:Deep learning is an important approach to improving the quality of 21st-century learning, but its implementation in elementary schools still faces various challenges, particularly related to teacher readiness and competency.…
ncy. This study aims to analyze the implementation and outcomes of deep learning training for teachers at the UPTD SDN 22 Sampean. The study used a qualitative approach with a field study design. The subjects were elementary school teachers who participated in the deep learning training. Data were collected through observation, interviews, and documentation, then analyzed using data reduction, data presentation, and conclusion drawing techniques.
The results of the study indicate that immersive learning training improved teachers' conceptual understanding and practical skills in developing immersive learning-based teaching materials. Teachers began designing lessons oriented toward conceptual understanding, active student engagement, and reflection on learning. These findings indicate that practice-based training is effective in supporting the implementation of immersive learning in elementary schools. This study recommends the need for ongoing training and implementation support to ensure the sustainability of immersive learning in the classroom.
Abstract:This study aims to develop a character building affirmation learning model based on a deep learning approach in the context of Indonesian language learning at the Junior High School (SMP) level. This approach emphasizes…
strengthening conceptual understanding and internalization of character values through reflective, collaborative, and meaningful learning activities. The study used the Design and Development Research (DDR) method with a 4D development model: Define, Design, Develop, and Disseminate. The research subjects consisted of grade VIII students and Indonesian language teachers at SMP. Data collection techniques included observation, interviews, documentation, expert validation, and questionnaires to students and teachers. The validation results by three experts—character education, educational technology, and Indonesian language teachers—showed that this model is very valid, with an average score of 90% in the content, construct, and technology aspects. A limited trial conducted on 30 grade VIII students showed that 87% of students felt that this model made it easier for them to understand character values in depth. In addition, teachers considered this model practical, interactive, and able to increase students' active involvement in the learning process. These findings indicate that the affirmation character building model based on deep learning is not only effective in building attitude competencies and understanding of values, but is also relevant to be applied in Indonesian language learning. This model has the potential to be an innovative approach in technology-based character education that supports pedagogical transformation at the junior high school level
Abstract:This research aims to develop Indonesian learning tools based on the Deep Learning approach to improve critical thinking skills and mastery of language concepts of elementary school students. The research was carried out…
ut at SDN 16 Bangkala, Jeneponto Regency, in the odd semester of the 2025/2026 school year with 25 subjects in grade IV. The development model used is the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. Data collection techniques include observation, interviews, questionnaires, and learning outcome tests. The validation results of three experts showed that the teaching modules developed were classified as very valid with an average feasibility level of 89%. The implementation of learning using Deep Learning syntax (Engage, Explore, Explain, Elaborate, Evaluate) shows an increase in student activity and involvement in the learning process. Based on the results of the data analysis, the average value of critical thinking skills increased from 61.2 to 83.6 with an N-Gain of 0.58 (medium-high category), while the mastery of language concepts increased from 63.4 to 86.8 with an N-Gain of 0.63 (high category). The results of the t-test showed p < 0.05 which means that there was a significant increase after the implementation of Deep Learning-based learning. Thus, it can be concluded that the Indonesian teaching module based on the Deep Learning approach is effective in improving students' critical thinking skills and mastery of language concepts. This approach is able to create learning that is aware, meaningful, and fun, and in line with the principles of the Independent Curriculum which emphasizes differentiated and student-centered learning.
Abstract:This study aims to describe the implementation of the deep learning approach in Indonesian language learning and its impact on the development of critical and reflective thinking skills of high school students in several…
al schools in Makassar City. The deep learning approach is seen as an innovative learning strategy that emphasizes high-level thinking processes, active engagement, and deep reflection on teaching materials. The research method used is descriptive qualitative with data collection techniques through observation of learning activities, interviews with teachers and students, and analysis of learning outcome documents. The results of the study show that the application of the deep learning approach contributes positively to improving the quality of learning interactions and students' metacognitive awareness. Students show high ability to identify problems, analyze arguments, draw logical conclusions, and reflect on the learning process. Deep learning-based learning also strengthens collaborative interaction patterns in the classroom and encourages students' intellectual independence. Thus, the deep learning approach is relevant to be applied in Indonesian language learning in high school to foster critical, reflective, and literacy skills in accordance with the demands of 21st century education.