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Artificial Intelligence (AI) as the Reflective Partner: Empowering Teachers for Deep Learning Pedagogy Rahman, Abdul; Nurmahmudah, Fitri; Putra, Eka Cahya Sari; Harsono, Arta Mulya Budi; Dewantara, Brezto Asagi; Arsyad, M. Ziyan Takhqiqi; Alfarisa, Fitri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2426

Abstract

This study aims to explore the role of AI as a reflective partner to empower teachers in implementing deep learning pedagogy. The method used is a systematic literature review (SLR) with a PRISMA approach. Data was obtained through article searches in the SpringerLink database using relevant keywords, then filtered based on methodological quality, topic suitability, and publication completeness. A total of 21 selected articles were qualitatively analyzed using Atlas.ti version 24 software to identify codes, categories, and research concept maps. The analysis results revealed five main themes of AI’s role in deep learning pedagogy: (1) AI-Supported Deep Learning Lesson Design, which supports teachers in designing objectives, content, and anticipating learning barriers; (2) AI in Orchestrating Deep Learning Processes, which organizes classroom dynamics through inquiry prompts, multi-representation of concepts, and real-time formative feedback; (3) AI-Augmented Deep Learning Assessment, which strengthens authentic assessment through multi-level rubrics, evidence-based performance analysis, and verification of learning processes; (4) AI-Driven Reflective Teaching Practices, which facilitates data-driven reflection, action planning, and knowledge curation for professional development; and (5) Ethical and Contextual AI Integration, which emphasizes the importance of local context, ethical awareness, and data protection. Based on the findings, it is recommended that teachers receive practice-based training that not only focuses on technical skills but also on integrating AI into deep learning pedagogy principles.
The Aptitude of Universitas Pendidikan Indonesia Students in Designing Science Learning that Integrates Culture Wuryastuti, Sri; Widodo, Ari; Supriatna, Encep; Hanif, Muhammad; Alfarisa, Fitri; Ridwan, Ita Rustiati
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.5037

Abstract

The aim of this research is to describe how the aptitude of elementary school students in designing a learning that integrates culture. The research methodology that was used in this research was descriptive qualitative by analysing each components of the learning plans that was designed by elementary school teacher matriculant of seventh semester who enrolled in a course namely science  learning based on Banten culture that consists of  30 females and 15 males. The result of the study showed that the students’ aptitude in designing science learning that integrates culture in elementary school is categorised as good with average overall score for each lesson plan components of 3,13. The research result was categorised as good because before designing the lesson plan the students have already had rich experiences towards local wisdom contents related to the course material, especially science through lectures. This research gave impacts in developing students aptitude in designing lesson plan that integrated cultures which can be their provision when they become elementary school teachers so that can also give impact for the elementary school students to know more about their cultures which is wrapped in a form of science.
Beyond the lesson plan: Reflective practice as a catalyst for teacher professional growth Harsono, Arta Mulya Budi; Mahmudah, Fitri Nur; Putra, Eka Cahya Sari; Rahman, Abdul; Dewantara, Brezto Asagi; Arsyad, M. Ziyan Takhqiqi; Alfarisa, Fitri
Priviet Social Sciences Journal Vol. 5 No. 11 (2025): November 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i11.698

Abstract

The rapid integration of artificial intelligence (AI) into education has shifted the paradigms of teaching and professional development. AI has been positioned not as a substitute for teachers but as a partner that relieves them from routine tasks, allowing greater focus on higher-order learning and reflective pedagogy. Professional standards and national regulations highlight the centrality of reflection and continuous professional growth as essential elements of teacher professionalism. Nevertheless, reflective practices backed by AI/technology lack empirical evidence, particularly for in-service teachers in primary and secondary education. To this end, this study employed an SLR design to investigate and synthesize how AI serves as a reflective partner in teachers’ PD. The review included 9,083 articles chosen from searches in the SpringerLink database and resulted in the selection of 26 articles using the PRISMA protocol. Thematically, these papers indicate AI’s contribution to enhanced reflective awareness, producing critical analyses of teaching practices, supporting reflection-informed decision making, prompting pedagogical innovation and experimentation, and promoting collaborative and continual professional learning. The results imply that AI supports teachers’ professional development and helps develop teacher noticing, providing data-driven feedback, speeding up personalization, and fostering professional learning communities. Instead of replacing teachers, AI should become a reflective partner to facilitate evidence-based pedagogy in a supportive educational policy system