Beyond the lesson plan: Reflective practice as a catalyst for teacher professional growth

Authors

DOI:

https://doi.org/10.55942/pssj.v5i11.698

Keywords:

artificial intelligence, reflective practice, teacher professional development, systematic literature review, pedagogical innovation

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

Author Biographies

Arta Mulya Budi Harsono, Lambung Mangkurat University

Arta Mulya Budi Harsono is a lecturer in Primary Education (PGSD) at Universitas Lambung Mangkurat (ULM), Indonesia. His work focuses on curriculum and instruction, technology-enhanced learning in elementary schools, and teacher professional development. He has authored articles on digital literacy and classroom innovation and holds national copyrights for several instructional products.

Fitri Nur Mahmudah, Badan Riset dan Inovasi Nasional

Fitri Nur Mahmudah is a researcher at Indonesia’s National Research and Innovation Agency (BRIN). Her scholarly interests include qualitative methodology, education management, and Atlas.ti-assisted analysis, as reflected in her public research profiles. In the present project, she contributed to conceptual framing and methodological rigor for the SLR on AI-supported reflective practice.

Eka Cahya Sari Putra, Lambung Mangkurat University

Eka Cahya Sari Putra is a lecturer in Primary School Teacher Education (PGSD) at Universitas Lambung Mangkurat, specializing in mathematics education for the primary level. His digital footprint indicates ongoing publications in mathematics primary education and national indexing under Indonesia’s SINTA system. He supports this study in synthesis design, data curation, and visualization.

 

Abdul Rahman, Lambung Mangkurat University

Abdul Rahman is a lecturer at Universitas Lambung Mangkurat with expertise in Educational Technology, instructional design, and technology-integrated pedagogy. His portfolio spans funded research, digital learning products, and community training on learning technologies. He contributed to search strategy, screening, and formal analysis.

Brezto Asagi Dewantara, Lambung Mangkurat University

Brezto Asagi Dewantara is a lecturer at Universitas Lambung Mangkurat focusing on instructional media, learning materials, and AI in education. His record includes research and outreach on digital literacy, coding for teachers, and open/online learning initiatives. He assisted with screening, data extraction, and figure preparation.

 

M. Ziyan Takhqiqi Arsyad, Lambung Mangkurat University

Ziyan Takhqiqi Arsyad is a lecturer in Primary Education at Universitas Lambung Mangkurat whose interests include Indonesian language education for elementary students, literacy, and children’s literature. He supported coding, narrative synthesis, and the drafting of sections on reflective storytelling.

Fitri Alfarisa, Indonesian Education University

Fitri Alfarisa is a lecturer at Universitas Pendidikan Indonesia (UPI), Serang Campus (PGSD), specializing in educational assessment and evaluation. Her public profiles document outputs on creative-thinking assessment and evaluation practices in elementary education. She led validation and critical review of analysis procedures.

References

Abualrob, M. M. (2025). Innovative teaching: How pre-service teachers use artificial intelligence to teach science to fourth graders. Contemporary Educational Technology, 17(1), 1–20. https://doi.org/10.30935/cedtech/15686

Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023). Ethical principles for artificial intelligence in K-12 education. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100131

Alalawi, K., Athauda, R., & Chiong, R. (2024). An Extended Learning Analytics Framework Integrating Machine Learning and Pedagogical Approaches for Student Performance Prediction and Intervention. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-024-00429-7

Amofa, B., Kamudyariwa, X. B., Fernandes, F. A. P., Osobajo, O. A., Jeremiah, F., & Oke, A. (2025). Navigating the Complexity of Generative Artificial Intelligence in Higher Education: A Systematic Literature Review. Education Sciences, 15(7), 1–21. https://doi.org/10.3390/educsci15070826

An, Q., Yang, J., Xu, X., Zhang, Y., & Zhang, H. (2024). Decoding AI ethics from Users’ lens in education: A systematic review. Heliyon, 10(20). https://doi.org/10.1016/j.heliyon.2024.e39357

Archer, L., Godec, S., Patel, U., Dawson, E., & Calabrese Barton, A. (2024). ‘It really has made me think’: Exploring how informal STEM learning practitioners developed critical reflective practice for social justice using the Equity Compass tool. Pedagogy, Culture and Society, 32(5), 1243–1265. https://doi.org/10.1080/14681366.2022.2159504

Baker, C. K. (2022). Learning to design effective professional development: The influence of integrating a coaching tool with an elementary mathematics specialist course assignment. Journal of Mathematics Teacher Education, 25(5), 555–580. https://doi.org/10.1007/s10857-021-09507-2

Belkina, M., Daniel, S., Nikolic, S., Haque, R., Lyden, S., Neal, P., Grundy, S., & Hassan, G. M. (2025). Implementing generative AI (GenAI) in higher education: A systematic review of case studies. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100407

Bettayeb, A. M., Abu Talib, M., Sobhe Altayasinah, A. Z., & Dakalbab, F. (2024). Exploring the impact of ChatGPT: conversational AI in education. Frontiers in Education, 9, 1–16. https://doi.org/10.3389/feduc.2024.1379796

Bhatt, S. M., Verbert, K., & Van Den Noortgate, W. (2025). Teacher-centric educational recommender systems in K12 practice: Usage and evaluation. Heliyon, 11(2). https://doi.org/10.1016/j.heliyon.2025.e42012

Bies, J. J., Reddy, S., Botros, M., Stuart, A. C., Dwivedi, A. K., Edwards, B. P., Hechanova, L. A., Mukherjee, D., & Deoker, A. (2025). Impact of a Three-Week ChatGPT 3.5-Generated Case-Based Professionalism Curriculum for Internal Medicine Residents at a United States Medical Residency: A Pilot Study. Cureus. https://doi.org/10.7759/cureus.85401

Bittle, K., & El-Gayar, O. (2025). Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda. Information, 16(4). https://doi.org/10.3390/info16040296

Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(1), 1–41. https://doi.org/10.1186/s41239-023-00436-z

BSKAP. (2025). Naskah Akademik Pembelajaran Koding dan Kecerdasan Artifisial pada Pendidikan Dasar dan Menengah. Kementerian Pendidikan Dasar dan Menengah.

Cabı, E., & Türkoğlu, H. (2025). The Impact of a Learning Analytics Based Feedback System on Students’ Academic Achievement and Self-Regulated Learning in a Flipped Classroom The Impact of a Learning Analytics Based Feedback System on Students’ Academic Achievement and Self-Regulated Learning Cabı and Türkoğlu. International Review of Research in Open and Distributed Learning, 26(1), 175–196. https://doi.org/https://doi.org/10.19173/irrodl.v26i1.7924

Carrasco-Sáez, J. L., Contreras-Saavedra, C., San-Martín-Quiroga, S., Contreras-Saavedra, C. E., & Viveros-Muñoz, R. (2025). Analyzing Higher Education Students’ Prompting Techniques and Their Impact on ChatGPT’s Performance: An Exploratory Study in Spanish. Applied Sciences (Switzerland), 15(14). https://doi.org/10.3390/app15147651

Chang, M. A., Tissenbaum, M., Philip, T. M., & D’Mello, S. K. (2025). Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100364

Chaseley, T. L., & Abercrombie, S. (2025). Using scaffolds to support preservice teachers’ reflective practice. Frontiers in Education, 10, 1–13. https://doi.org/10.3389/feduc.2025.1621269

Contrino, M. F., Reyes-Millán, M., Vázquez-Villegas, P., & Membrillo-Hernández, J. (2024). Using an adaptive learning tool to improve student performance and satisfaction in online and face-to-face education for a more personalized approach. Smart Learning Environments, 11(1), 1–24. https://doi.org/10.1186/s40561-024-00292-y

Cordero, J., Torres-Zambrano, J., & Cordero-Castillo, A. (2025). Integration of Generative Artificial Intelligence in Higher Education: Best Practices. Education Sciences, 15(1). https://doi.org/10.3390/educsci15010032

Coutts, R., Irwin, P., & Del Vecchio, L. (2024). A reflective practice learning experience with higher education exercise physiology students. Reflective Practice, 25(2), 251–266. https://doi.org/10.1080/14623943.2024.2309883

Daryanto, T., Ding, X., Wilhelm, L. T., Stil, S., Knutsen, K. M. I., & Rho, E. H. (2025). Conversate: Supporting Reflective Learning in Interview Practice Through Interactive Simulation and Dialogic Feedback. Proceedings of the ACM on Human-Computer Interaction, 9(1). https://doi.org/10.1145/3701188

Dekerlegand, R., Bell, A., Clancy, M. J., Pletcher, E. R., & Pollen, T. (2025). Generative Artificial Intelligence in Education: Insights from Rehabilitation Sciences Students. Education Sciences, 15(3). https://doi.org/10.3390/educsci15030380

Deng, R., Jiang, M., Yu, X., Lu, Y., & Liu, S. (2025). Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies. Computers and Education, 227. https://doi.org/10.1016/j.compedu.2024.105224

Ding, L. J., Li, J. M., & Hui, B. H. (2025). Will Teacher-AI Collaboration Enhance Teaching Engagement? Behavioral Sciences, 15(7), 1–17. https://doi.org/10.3390/bs15070866

du Plooy, E., Casteleijn, D., & Franzsen, D. (2024). Personalized adaptive learning in higher education: A scoping review of key characteristics and impact on academic performance and engagement. Heliyon, 10(21). https://doi.org/10.1016/j.heliyon.2024.e39630

Duan, H., & Zhao, W. (2024). The Effects of Educational Artificial Intelligence-Powered Applications on Teachers’ Perceived Autonomy, Professional Development for Online Teaching, and Digital Burnout. International Review of Research in Open and Distributed Learning, 25(3), 57–76. https://doi.org/https://doi.org/10.19173/irrodl.v25i3.7659

Dülger, M., van Leeuwen, A., Janssen, J., & Kester, L. (2025). Designing a classroom-level teacher dashboard to foster primary school teachers’ direct instruction of self-regulated learning strategies. Education and Information Technologies, 30(11), 14785–14819. https://doi.org/10.1007/s10639-025-13389-9

ElSayary, A., Karaki, S., & Ahmed, R. (2025). EXPLORING REFLECTIVE PRACTICES IN BLENDED LEARNING: A DEEP DIVE INTO EDUCATORS’ IN-ACTION AND ON-ACTION PERSPECTIVES IN INTERDISCIPLINARY COURSES. Journal of Information Technology Education: Research, 24. https://doi.org/10.28945/5553

Francis, N. J., Jones, S., & Smith, D. P. (2024). Generative AI in Higher Education: Balancing Innovation and Integrity. British Journal of Biomedical Science, 81. https://doi.org/10.3389/bjbs.2024.14048

García-López, I. M., & Trujillo-Liñán, L. (2025). Ethical and regulatory challenges of Generative AI in education: a systematic review. Frontiers in Education, 10, 1–13. https://doi.org/10.3389/feduc.2025.1565938

Gegenfurtner, A., Lewalter, D., Lehtinen, E., Schmidt, M., & Gruber, H. (2020). Teacher Expertise and Professional Vision: Examining Knowledge-Based Reasoning of Pre-Service Teachers, In-Service Teachers, and School Principals. Frontiers in Education, 5, 1–8. https://doi.org/10.3389/feduc.2020.00059

George-Reyes, C. E., Vilhunen, E., Avello-Martínez, R., & López-Caudana, E. (2024). Developing scientific entrepreneurship and complex thinking skills: creating narrative scripts using ChatGPT. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1378564

Granström, M., & Oppi, P. (2025). Assessing teachers’ readiness and perceived usefulness of AI in education: an Estonian perspective. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1622240

Haroud, S., & Saqri, N. (2025). Generative AI in Higher Education: Teachers’ and Students’ Perspectives on Support, Replacement, and Digital Literacy. Education Sciences, 15(4), 1–5. https://doi.org/10.3390/educsci15040396

Hashem, R., Ali, N., Zein, F. El, Fidalgo, P., & Khurma, O. A. (2024). AI to the rescue: Exploring the potential of ChatGPT as a teacher ally for workload relief and burnout prevention. Research and Practice in Technology Enhanced Learning, 19(23), 1–26. https://doi.org/https://doi.org/10.58459/rptel.2024.19023

Heymann, P., Hukema, M., van Rosmalen, P., & Beausaert, S. (2024). Towards design principles for an online learning platform providing reflective practices for developing employability competences. Education and Information Technologies, 29(13), 17211–17234. https://doi.org/10.1007/s10639-024-12530-4

Ho, W. W. Y., & Lau, Y. H. Y. (2025). Role of reflective practice and metacognitive awareness in the relationship between experiential learning and positive mirror effects: A serial mediation model. Teaching and Teacher Education, 157. https://doi.org/10.1016/j.tate.2025.104947

Ifenthaler, D., Majumdar, R., Gorissen, P., Judge, M., Mishra, S., Raffaghelli, J., & Shimada, A. (2024). Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners. Technology, Knowledge and Learning, 29(4), 1693–1710. https://doi.org/10.1007/s10758-024-09747-0

Jauhiainen, J. S., & Garagorry Guerra, A. (2025). Generative AI in education: ChatGPT-4 in evaluating students’ written responses. Innovations in Education and Teaching International, 62(4), 1377–1394. https://doi.org/10.1080/14703297.2024.2422337

Jo, H. (2024). From concerns to benefits: a comprehensive study of ChatGPT usage in education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00471-4

Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100017

Kaliisa, R., & Dolonen, J. A. (2023). CADA: a teacher-facing learning analytics dashboard to foster teachers’ awareness of students’ participation and discourse patterns in online discussions. Technology, Knowledge and Learning, 28(3), 937–958. https://doi.org/10.1007/s10758-022-09598-7

Kaliisa, R., Jivet, I., & Prinsloo, P. (2023). A checklist to guide the planning, designing, implementation, and evaluation of learning analytics dashboards. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00394-6

Kalniņa, D., Nīmante, D., & Baranova, S. (2024). Artificial intelligence for higher education: benefits and challenges for pre-service teachers. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1501819

Kaloudis, T., Georgiadis, K., Travlos, A. K., & Theodorakis, Y. (2025). Fostering Reflective Thinking in Physical Education Teachers: An Action Research Study Promoting Paralympic Values and Inclusive Practices. Education Sciences, 15(7). https://doi.org/10.3390/educsci15070823

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16). https://doi.org/10.3390/su151612451

Karataş, F., & Yüce, E. (2024). AI and the Future of Teaching: Preservice Teachers’ Reflections on the Use of Artificial Intelligence in Open and Distributed Learning. International Review of Research in Open and Distributed Learning, 25(3), 304–325. https://doi.org/https://doi.org/10.19173/irrodl.v25i3.7785

Knoth, N., Tolzin, A., Janson, A., & Leimeister, J. M. (2024). AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100225

Kohnke, L., Zou, D., Ou, A. W., & Gu, M. M. (2025). Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2025.100398

Lai, C. H., & Lin, C. Y. (2025). Analysis of Learning Behaviors and Outcomes for Students with Different Knowledge Levels: A Case Study of Intelligent Tutoring System for Coding and Learning (ITS-CAL). Applied Sciences (Switzerland), 15(4). https://doi.org/10.3390/app15041922

Lan, M., & Zhou, X. (2025). A qualitative systematic review on AI empowered self-regulated learning in higher education. Npj Science of Learning, 10(1), 1–16. https://doi.org/10.1038/s41539-025-00319-0

Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100221

Li, J. W., Leung, S. K. Y., & Yau, H. P. T. (2025). Facilitating Kindergarten Teachers’ Positive Education Through an Online Digital Storytelling Workshop. Education Sciences, 15(8), 1–16. https://doi.org/10.3390/educsci15081023

Li, X., Han, G., Fang, B., & He, J. (2025). Advancing the In-Class Dialogic Quality: Developing an Artificial Intelligence-Supported Framework for Classroom Dialogue Analysis. Asia-Pacific Education Researcher, 34(1), 495–509. https://doi.org/10.1007/s40299-024-00872-z

Li, Z., Wang, C., & Bonk, C. J. (2024). Exploring the Utility of ChatGPT for Self-Directed Online Language Learning. Online Learning Journal, 28(3), 157–180. https://doi.org/10.24059/olj.v28i3.4497

Liu, J., Aziku, M., Qiang, F., & Zhang, B. (2024). Leveraging professional learning communities in linking digital professional development and instructional integration: evidence from 16,072 STEM teachers. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00513-3

Liu, Y. (2025). Immersive digital storytelling to understand the new learning ecosystem: the revised concentric circles model from both teacher and students’ perspective. Smart Learning Environments, 12(1). https://doi.org/10.1186/s40561-025-00398-x

Lucas, P., & Hains-Wesson, R. (2025). Enriching work-integrated learning: conceptions of integrating Indigenous reflective practices. Higher Education Research and Development. https://doi.org/10.1080/07294360.2025.2536286

Mahmudah, F. N. (2021). Analisis data penelitian kualitatif manajemen pendidikan berbantuan software atlas.ti versi 8 (Vol. 1). https://scholar.google.co.id/citations?view_op=view_citation&hl=id&user=vqUnJ9kAAAAJ&citation_for_view=vqUnJ9kAAAAJ:iH-uZ7U-co4C

Mai, D. T. T., Da, C. Van, & Hanh, N. Van. (2024). The use of ChatGPT in teaching and learning: a systematic review through SWOT analysis approach. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1328769

Masiello, I., Mohseni, Z., Palma, F., Nordmark, S., Augustsson, H., & Rundquist, R. (2024). A Current Overview of the Use of Learning Analytics Dashboards. Education Sciences, 14(1). https://doi.org/10.3390/educsci14010082

Matos, T., Santos, W., Zdravevski, E., Coelho, P. J., Pires, I. M., & Madeira, F. (2025). A systematic review of artificial intelligence applications in education: Emerging trends and challenges. Decision Analytics Journal, 15. https://doi.org/10.1016/j.dajour.2025.100571

McCaw, C. T., Mendus, A., Boyer, A., Cameron, S., Leve, A., & Messer, R. (2024). From “Am I just too old for this?” To “Hey – I think I could do that!”: a collaborative self-study of the implementation of blended synchronous learning in initial teacher education. Education and Information Technologies, 29(8), 9795–9823. https://doi.org/10.1007/s10639-023-12210-9

Merino-Campos, C. (2025). The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review. Trends in Higher Education, 4(2). https://doi.org/10.3390/higheredu4020017

Mohajer, S., Bagheri, N., Chan, C. M., Danaee, M., Mazlum, S. R., Yoong, T. L., Lopez, V., & Namazinia, M. (2024). Effect of holistic reflective learning program on development of nursing students’ professional competency in geriatric clinical practice: a quasi-experimental study. BMC Medical Education, 24(1). https://doi.org/10.1186/s12909-024-06133-3

Mohamed, M., Rashid, R. A., & Alqaryouti, M. H. (2022). Conceptualizing the complexity of reflective practice in education. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1008234

Muangprathub, J., Boonjing, V., & Chamnongthai, K. (2020). Learning recommendation with formal concept analysis for intelligent tutoring system. Heliyon, 6(10). https://doi.org/10.1016/j.heliyon.2020.e05227

Mufti, S., Jamil, B., Mufti, A. A., & Baseer, S. (2025). Reflective Practices among Postgraduate Medical Students to Improve their Learning Outcomes-A Qualitative Exploratory Study. Liaquat National Journal of Primary Care, 7(1), 46–50. https://doi.org/10.37184/lnjpc.2707-3521.7.28

Musthafa, A., Ahmad Ro’i Alfaza, & Sitti Faoziyah. (2025). Synergy Between State and Market in Realizing Social Welfare: Perspectives from RPJPN 2025–2045. Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning, 9(1), 66–72. https://doi.org/10.36574/jpp.v9i1.643

Myllykoski-Laine, S., Parpala, A., Hailikari, T., & Postareff, L. (2024). Using self-reflection to support higher education teaching. Reflective Practice, 25(5), 589–604. https://doi.org/10.1080/14623943.2024.2376784

Newton, P. M., & Jones, S. (2024). Education and Training Assessment and Artificial Intelligence. A Pragmatic Guide for Educators. British Journal of Biomedical Science, 81, 1–8. https://doi.org/10.3389/bjbs.2024.14049

Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022). Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100054

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241. https://doi.org/10.1007/s10639-022-11316-w

Nguyen, H., & Nguyen, A. (2024). Reflective Practices and Self-Regulated Learning in Designing with Generative Artificial Intelligence: An Ordered Network Analysis. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-024-10175-z

Nguyen, N. B. C., Lithander, M., Östlund, C. M., Karunaratne, T., & Jobe, W. (2024). TEADASH: Implementing and Evaluating a Teacher-Facing Dashboard Using Design Science Research. Informatics, 11(3), 1–27. https://doi.org/10.3390/informatics11030061

Ning, Y., Zhang, C., Xu, B., Zhou, Y., & Wijaya, T. T. (2024). Teachers’ AI-TPACK: Exploring the Relationship between Knowledge Elements. Sustainability (Switzerland), 16(3). https://doi.org/10.3390/su16030978

Novoa-Echaurren, Á., Pavez, I., & Anabalón, M. E. (2025). Reflective Practice and Digital Technology Use in a University Context: A Qualitative Approach to Transformative Teaching. Education Sciences, 15(6), 1–26. https://doi.org/10.3390/educsci15060643

Ogunleye, B., Zakariyyah, K. I., Ajao, O., Olayinka, O., & Sharma, H. (2024). A Systematic Review of Generative AI for Teaching and Learning Practice. Education Sciences, 14(6), 1–20. https://doi.org/10.3390/educsci14060636

Olmo-Extremera, M., Domingo Segovia, J., Khalil, M., & De La Hoz Ruíz, J. (2025). Professional learning communities in secondary schools and improvement of learning in challenging contexts. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1598133

Paiva, A. C. de O., & Silva, K. L. (2024). Reflective practice of nurse residents in the teaching-learning process in teaching hospitals. Revista Brasileira de Enfermagem, 77(4). https://doi.org/10.1590/0034-7167-2023-0540

Paloniemi, E., Hagnäs, M., Mikkola, I., Timonen, M., & Vatjus, R. (2024). Reflective capacity and context of reflections: qualitative study of second-year medical students’ learning diaries related to a general practice course. BMC Medical Education, 24(1). https://doi.org/10.1186/s12909-024-05199-3

Pozdniakov, S., Martinez-Maldonado, R., Tsai, Y. S., Echeverria, V., Swiecki, Z., & Gašević, D. (2025). Investigating the Effect of Visualization Literacy and Guidance on Teachers’ Dashboard Interpretation. Journal of Learning Analytics, 12(1), 367–390. https://doi.org/10.18608/jla.2024.8471

Prenger, R., Poortman, C. L., & Handelzalts, A. (2021). Professional learning networks: From teacher learning to school improvement? Journal of Educational Change, 22(1), 13–52. https://doi.org/10.1007/s10833-020-09383-2

Prete, F. P., Covelli, M., Ballini, A., Karaboue, M. A. A., Gurrado, A., De Luca, A., De Luca, G. M., & Testini, M. (2025). Reflective learning and reflective practice: foundational education theories and applications in surgery. In La Clinica terapeutica (Vol. 176, Issue 4, pp. 520–527). https://doi.org/10.7417/CT.2025.5258

Qin, X. (2024). Collaborative inquiry in action: a case study of lesson study for intercultural education. Asian-Pacific Journal of Second and Foreign Language Education, 9(1). https://doi.org/10.1186/s40862-024-00294-w

Rahman, A., & Dewantara, B. A. (2025). Peran Dosen Sebagai Korektor dalam Model Human-in-the-Loop (HITL) untuk Meningkatkan Akurasi Evaluasi Pembelajaran Berbasis Artificial Intelligence. Advances in Education Journal, 2. https://journal.al-afif.org/index.php/aej/article/view/208

Rasmitadila, Rachmadtullah, R., Prasetyo, T., Humaira, M. A., Sari, D. A., Samsudin, A., Nurtanto, M., Fitriyani, & ZamZam, R. (2024). Professional development for Indonesian elementary school teachers: Increased competency and sustainable teacher development programs. F1000Research, 13, 1–19. https://doi.org/10.12688/f1000research.156946.1

Rost, M., Resch, K., & Lembens, A. (2025). Using Computational Grounded Theory to Analyze Pre-service Chemistry Teachers’ Reflective Practice Regarding Technology Integration in Classrooms Within a Service-Learning–Oriented Seminar. Jour nal of Science Education and Technology. https://doi.org/10.1007/s10956-025-10236-x

Rozimela, Y., Fatimah, S., & Fudhla, N. (2025). EFL teachers’ practices and perspectives on self- and collaborative contextualized reflective practice. Asian-Pacific Journal of Second and Foreign Language Education, 10(1). https://doi.org/10.1186/s40862-025-00338-9

Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial Intelligence and Learning Analytics in Teacher Education: A Systematic Review. Education Sciences, 12(8), 1–18. https://doi.org/10.3390/educsci12080569

Seo, J. Y. (2024). Exploring the Educational Potential of ChatGPT: AI-Assisted Narrative Writing for EFL College Students. Language Teaching Research Quarterly, 43. https://doi.org/10.32038/ltrq.2024.43.01

Sheppick, C. (2024). Unveiling the benefits of reflective learning in professional legal practice. International Journal of the Legal Profession, 31(2), 207–221. https://doi.org/10.1080/09695958.2024.2345924

Sheridan, L., Wentworth, I., & Gigliotti, A. (2025). Learning ecologies and collaborative reflective practices in higher education. Teaching in Higher Education. https://doi.org/10.1080/13562517.2025.2525176

Shi, H., & Aryadoust, V. (2024). A systematic review of AI-based automated written feedback research. ReCALL, 36(2), 187–209. https://doi.org/10.1017/S0958344023000265

Sousa, E. B. G. de, Alexandre, B., Ferreira Mello, R., Pontual Falcão, T., Vesin, B., & Gašević, D. (2021). Applications of Learning Analytics in High Schools: A Systematic Literature Review. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.737891

Spaska, A. (2025). Systematic theoretical study on the application of reflective practice in enhancing medical students’ learning experience. Educacion Medica, 26(6). https://doi.org/10.1016/j.edumed.2025.101088

Sperling, K., Stenberg, C. J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6. https://doi.org/10.1016/j.caeo.2024.100169

Susnjak, T., Ramaswami, G. S., & Mathrani, A. (2022). Learning analytics dashboard: a tool for providing actionable insights to learners. International Journal of Educational Technology in Higher Education, 19(1), 1–23. https://doi.org/10.1186/s41239-021-00313-7

Suyatno, S., Wantini, W., Prastowo, A., Nuryana, Z., Firdausi, D. K. A., & Samaalee, A. (2022). The Great Teacher: The Indonesian Adolescent Student Voice. Frontiers in Education, 6, 1–13. https://doi.org/10.3389/feduc.2021.764179

Tafazoli, D., & Meihami, H. (2023). Narrative inquiry for CALL teacher preparation programs amidst the COVID-19 pandemic: language teachers’ technological needs and suggestions. Journal of Computers in Education, 10(1), 163–187. https://doi.org/10.1007/s40692-022-00227-x

Tammets, K., & Ley, T. (2023). Integrating AI tools in teacher professional learning: a conceptual model and illustrative case. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1255089

Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2024.100355

Thomas, M. B., Muscat, A., Zuccolo, A., Luguetti, C. N., & Watt, A. (2025). Navigating Pedagogical Innovation in Higher Education: Education Academics’Experiences with Active and Inquiry-Based Learning in Intensive Teaching. Innovative Higher Education. https://doi.org/10.1007/s10755-025-09807-y

Thomas Murphy, C., & Martin, L. (2024). Situating Reflective Practice in Experiential Learning: A Case Study of Educators’ Professional Learning through Tinkering at Home. Journal of Museum Education, 49(3), 367–376. https://doi.org/10.1080/10598650.2023.2275227

To, C. W., & Shih, Y. T. (2025). Planning Design Competitions to Cultivate Innovative Design Capabilities Among Hong Kong Secondary School Students. Education Sciences, 15(6). https://doi.org/10.3390/educsci15060722

Tobin, B., Farren, M., & Crotty, Y. (2024). Impacting teaching and learning through collaborative reflective practice. Educational Action Research. https://doi.org/10.1080/09650792.2024.2394933

Trevisan, O., Christensen, R., Drossel, K., Friesen, S., Forkosh-Baruch, A., & Phillips, M. (2024). Drivers of Digital Realities for Ongoing Teacher Professional Learning. Technology, Knowledge and Learning, 29(4), 1851–1868. https://doi.org/10.1007/s10758-024-09771-0

Tripathi, T., Sharma, S. R., Singh, V., Bhargava, P., & Raj, C. (2025). Teaching and learning with AI: a qualitative study on K-12 teachers’ use and engagement with artificial intelligence. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1651217

van den Berg, G., & du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences, 13(10), 1–12. https://doi.org/10.3390/educsci13100998

van Leeuwen, A., Strauß, S., & Rummel, N. (2023). Participatory design of teacher dashboards: navigating the tension between teacher input and theories on teacher professional vision. Frontiers in Artificial Intelligence, 6. https://doi.org/10.3389/frai.2023.1039739

Vogelsang, C., Scholl, D., Meier, J., & Küth, S. (2025). Thoughts Are Free—Differences Between Unstructured and Structured Reflections of Teachers with Different Levels of Expertise. Education Sciences, 15(7). https://doi.org/10.3390/educsci15070820

Walkerden, G. (2024). Learning to catalyse socio-ecological change: Reflective practice experiments. In Practicing Embodied Thinking in Research and Learning (pp. 206–224). Taylor and Francis. https://doi.org/10.4324/9781003397939-18

Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00448-3

Wang, M., Chen, Z., Xu, Y., Maheshi, B., & Gašević, D. (2025). Intelligent teaching analytics for collaborative reflection: investigating pre-service teachers’ perceptions, experiences and shared regulation processes. International Journal of Educational Technology in Higher Education, 22(1), 1–25. https://doi.org/10.1186/s41239-025-00538-w

Wen, W., Liu, Y., Zhu, Z., & Shi, Y. (2023). A Study on the Learning Early Warning Prediction Based on Homework Habits: Towards Intelligent Sustainable Evaluation for Higher Education. Sustainability, 15(5), 1–15. https://doi.org/10.3390/su15054062

Xiao, F., Zou, E. W., Lin, J., Li, Z., & Yang, D. (2025). Parent-led vs. AI-guided dialogic reading: Evidence from a randomized controlled trial in children’s e-book context. British Journal of Educational Technology, 56(5), 1784–1813. https://doi.org/10.1111/bjet.13615

Yadav, D. K., & Bhatia, D. (2024). Effect of Reflective Practices on Student Learning in Higher Education—A Real Life Approach. International Journal of Educational Reform, 33(3), 308–322. https://doi.org/10.1177/10567879221094298

Zhang, C., Hofmann, F., Plößl, L., & Gläser-Zikuda, M. (2024). Classification of reflective writing: A comparative analysis with shallow machine learning and pre-trained language models. Education and Information Technologies, 29(16), 21593–21619. https://doi.org/10.1007/s10639-024-12720-0

Downloads

Published

2025-11-20

How to Cite

Harsono, A. M. B., Mahmudah, F. N. ., Putra, E. C. S. ., Rahman, A., Dewantara, B. A., Arsyad, M. Z. T., & Alfarisa, F. (2025). Beyond the lesson plan: Reflective practice as a catalyst for teacher professional growth. Priviet Social Sciences Journal, 5(11), 289–307. https://doi.org/10.55942/pssj.v5i11.698
Abstract Views: 16 | File Views: 9