Developing Pedagogical Standards and AI Policies for Adaptive Learning in Equitable and Safe School Education
DOI:
https://doi.org/10.58737/jpled.v3i4.321Keywords:
Artificial Intelligence, Adaptive Learning, Pedagogical Standards, Equitable Access, Data Protection, Educational Transformation, Community CollaborationAbstract
This article discusses the utilization of artificial intelligence in adaptive learning in schools and how advancements in pedagogical standards and regulations can ensure the quality, safety, and social acceptance of the system. The analysis focuses on opportunities, challenges, and strategies for equalizing access to technology, data protection, teacher engagement, and national standard requirements. In the digital age, artificial intelligence is increasingly dominating personalized and data-driven learning models, so schools are expected to be responsive to technological developments and build collaborations with various parties. The importance of digital infrastructure, student data protection, teacher training, and participatory regulations was emphasized. Lack of infrastructure remains a barrier to equitable access, while the professional adaptation of educators is a key to success. Regular regulations, independent audits, data transparency, and the involvement of the school community play a role in maintaining public trust in artificial intelligence systems in education. This transformation must be balanced with a learning culture that is open, fair, and values diversity. The formulation of recommendations includes strengthening infrastructure, developing national standards, increasing digital literacy, and empowering school communities. This study concludes that equal access and the implementation of robust artificial intelligence pedagogical standards are crucial for delivering quality and sustainable education. Collective consciousness and policy updates must go hand in hand with technological changes to ensure the education system remains relevant and capable of responding to future challenges.
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Aarts, R., Kools, Q., & Schildwacht, R. (2020). Providing a Good Start. Concerns of Beginning Secondary School Teachers and Support Provided. European Journal of Teacher Education, 43(2), 277-295.
Aggarwal, D. (2023). Integration of Innovative Technological Developments and AI with Education for an Adaptive Learning Pedagogy. China Petroleum Processing and Petrochemical Technology, 23(2), 709-714.
Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive Learning and Artificial Intelligence in the Educational Space. In E3S Web of Conferences (Vol. 451, p. 06011). EDP Sciences.
Amrulloh, A., Aliyah, N. D., & Darmawan, D. (2024). Pengaruh Kebiasaan Belajar, Lingkungan Belajar dan Motivasi Belajar terhadap Prestasi Belajar Siswa MTS Darul Hikmah Langkap Burneh Bangkalan. AL-MIKRAJ: Jurnal Studi Islam dan Humaniora, 5(1), 188–200.
Arifin, S., & Darmawan, D. (2021). Technology Access and Digital Skills: Bridging the Gaps in Education and Employment Opportunities in the Age of Technology 4.0. Journal of Social Science Studies, 1(1), 163–168.
Audrain, R. L., Weinberg, A. E., Bennett, A., O’Reilly, J., & Basile, C. G. (2022). Ambitious and Sustainable Post-Pandemic Workplace Design for Teachers: A Portrait of the Arizona Teacher Workforce. Primary and Secondary Education during Covid-19. Springer, 353-381.
Beijaard, D. (2019). Teacher Learning as Identity Learning: Models, Practices, and Topics. Teachers and Teaching, 25(1), 1-6.
Brada, A., & Dahmani, F. (2024). Artificial Intelligence Technologies and Their Significance in Enhancing the Quality of Adaptive E-Learning. Journal of Science and Knowledge Horizons, 4(2), 30-47.
Braun, V., & Clarke, V. (2019). Reflecting on Reflexive Thematic Analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589-597.
Creswell, J. W., & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing among Five Approaches (4th ed.). SAGE Publications.
Darmawan, D. (2009). Manajemen Sumber Daya Manusia (Edisi Pertama). Jakarta: Kencana.
Darmawan, D. (2014). Inovasi Pendidikan: Pendekatan Praktis dalam Pengembangan Pembelajaran. Bandung: PT Remaja Rosdakarya.
Demartini, C. G., Sciascia, L., Bosso, A., & Manuri, F. (2024). Artificial Intelligence Bringing Improvements to Adaptive Learning in Education: A Case Study. Sustainability, 16(3), 1347.
Dhaniswara, E., Zani, B. N., Iswahyudi, M. S., Syafral, M., Cahyono, D., & Zulaekah, Z. (2024). Utilizing Artificial Intelligence to Improve Adaptive Learning. At-Tasyrih: Jurnal Pendidikan dan Hukum Islam, 10(1), 151-158.
Djazilan, M. S., & Darmawan, D. (2022). Komunikasi Kerja dan Gaya Kepemimpinan Kepala Sekolah untuk Mengembangkan Motivasi dan Kinerja Guru. Journal on Teacher Education, 4(2), 1065-1077.
Dutta, S., Ranjan, S., Mishra, S., Sharma, V., Hewage, P., & Iwendi, C. (2024, February). Enhancing educational adaptability: A review and analysis of AI-driven adaptive learning platforms. In 2024 4th international conference on innovative practices in technology and management (ICIPTM). IEEE.
Dutton, W. H., & Reisdorf, B. C. (2019). Cultural Divides and Digital Inequalities: Attitudes Shaping Internet and Social Media Divides. Information, Communication & Society, 22(1), 18-38.
Dvir, N., & Schatz-Oppenheimer, O. (2020). Novice Teachers in a Changing Reality. European Journal of Teacher Education, 43(4), 639-656.
Essa, S. G., Celik, T., & Human-Hendricks, N. E. (2023). Personalized Adaptive Learning Technologies based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review. IEEE Access, 11, 48392-48409.
Flick, U. (2018). An Introduction to Qualitative Research (6th ed.). SAGE Publications Ltd.
Gani, A. & Darmawan, D. (2022). Ethics and Accountability in Artificial Intelligence-Based Managerial Decision Making. Journal of Social Science Studies, 2(1), 147–152.
Gautama, E. C. & R. Mardikaningsih. (2022). Driving Sustainable Behavior Change through Education and Public Awareness. Journal of Social Science Studies, 2(1), 259–264.
Ghozali, S., Yuliastutik, Y., Mardikaningsih, R., Darmawan, D., Al Laisty, M. D., Nafiin, M. W., & Thaha, A. (2022). Interactive Learning Innovation through Puzzle Media: A Solution to Improve Student Literacy. Bulletin of Science, Technology and Society, 1(2), 38–43.
Given, L. M. (2017). Fundamentals of Research Methods for Qualitative Research. Routledge.
Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive Learning Using Artificial Intelligence in E-Learning: A Literature Review. Education Sciences, 13(12), 1216.
Hariyadi, A., Jenuri., Darmawan, D., Suwarma, D. M., & Pramono, S. A. (2023). Building of the Pancasila Character with Religious Harmony in the Globalization Era. Al-Ishlah: Jurnal Pendidikan, 15(2), 2126-2133.
Hashim, S., Omar, M. K., Ab Jalil, H., & Sharef, N. M. (2022). Trends on Technologies and Artificial Intelligence in Education for Personalized Learning: Systematic Literature. Journal of Academic Research in Progressive Education and Development, 12(1), 884-903.
Jamaluddin, A., Hoe, L. C., Mohamed, A. A., Darmawan, D., Hannan, A. T., Ismail, M., & Ahmad, N. (2013). Human Resource Management Implications of Technology-Based Organizational Forms. Academy of Management Journal, 23(2), 83-94.
James, C., Weinstein, E., & Mendoza, K. (2019). Teaching Digital Citizens in Today's World: Research and Insights Behind the Common Sense K–12 Digital Citizenship Curriculum. Common Sense Media.
Joshi, M. A. (2024). Adaptive Learning through Artificial Intelligence. International Journal on Integrated Education, 7(2), 41-43.
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, 100017.
Karlberg, M., & Bezzina, C. (2022). The Professional Development Needs of Beginning and Experienced Teachers in Four Municipalities in Sweden. Professional Development in Education, 48(4), 624-641.
Keller-Schneider, M., Zhong, H. F., & Yeung, A. S. (2020). Competence and Challenge in Professional Development: Teacher Perceptions at Different Stages of Career. Journal of Education for Teaching, 46(1), 36-54.
Kurniawan, Y., & Darmawan, D. (2021). The Adaptive Learning Effect on Individual and Collecting Learning. Journal of Social Science Studies, 1(1), 93–98.
Kustandi, C., & Darmawan, D. (2020). Pengembangan Media Pembelajaran: Konsep & Aplikasi Pengembangan Media Pembelajaran bagi Pendidik di Sekolah dan Masyarakat. Prenada Media.
Luo, Q. Z., & Hsiao-Chin, L. Y. (2023). The Influence of AI-Powered Adaptive Learning Platforms on Student Performance in Chinese Classrooms. Journal of Education, 6(3), 1-12.
Mardikaningsih, R. & Darmawan, D. (2022). Situational Leadership Strategies to Improve Change Management and Team Performance. Journal of Social Science Studies, 2(1), 247–252.
Masnawati, E., Aliyah, N. D., Yuliastutik, Y., Mardikaningsih, R., Khotimah, A. K., & Yuliah, Y. (2022). Transformation of Islamic Education in the Digital Age: The Role and Challenges of Educational Technology. Bulletin of Science, Technology and Society, 1(3), 45-52.
Masnawati, E., & Kurniawan, Y. (2023). Empowering Minds: Unraveling the Impact of Information Technology and Technological Integration in Academic Environments on Learning Outcomes. International Journal of Service Science, Management, Engineering, and Technology, 3(1), 17–20.
Pramudya, G. & Mardikaningsih, R. (2021). Teacher Self-Efficacy and Engagement in Professional Development. Journal of Social Science Studies, 1(1), 233–238.
Purnama, S. (2021). Implementasi Pendidikan Multikultural melalui Mata Pelajaran PPKn untuk Mendukung Sikap Toleransi Siswa dalam Masyarakat Multikultur. Jurnal Basicedu, 5(6), 5753-5760.
Putra, A. R., Darmawan, D., & Mardikaningsih, R. (2017). Peningkatan Kemampuan Siswa dengan Profesionalisme dan Kompetensi Guru. Jurnal Ilmiah Manajemen Pendidikan Indonesia, 3(3), 139-150.
Putri, A. S., Mansyur, M. H., & Ulya, N. (2022). Peran Guru Akidah Akhlak dalam Membangun Peserta Didik yang Berakhlakul Karimah di Era Society 5.0. Jurnal Ilmiah Wahana Pendidikan, 8(16), 83-92.
Reitman, G. C., & Karge, B. D. (2019). Investing in Teacher Support Leads to Teacher Retention: Six Supports Administrators Should Consider for New Teachers. Multicultural Education, 27(1), 7-18.
Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I. (2024). Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. Information, 15(10), 596.
Sari, H. E., Tumanggor, B., & Efron, D. (2024). Improving Educational Outcomes through Adaptive Learning Systems using AI. International Transactions on Artificial Intelligence, 3(1), 21-31.
Shanks, R., Attard Tonna, M., Krøjgaard, F., Annette Paaske, K., Robson, D., & Bjerkholt, E. (2022). A Comparative Study of Mentoring for New Teachers. Professional Development in Education, 48(5), 751-765.
Syah, R., Darmawan, D., & Purnawan, A. (2019). Analisis Faktor yang Mempengaruhi Kemampuan Literasi Digital. Jurnal Akrab, 10(2), 60-69.
Suri, D., & Chandra, D. (2021). Teacher's Strategy for Implementing Multiculturalism Education based on Local Cultural Values and Character Building for Early Childhood Education. Journal of Ethnic and Cultural Studies, 8(4), 271-285.
Wang, X., Huang, R. T., Sommer, M., Pei, B., Shidfar, P., Rehman, M. S., ... & Martin, F. (2024). The Efficacy of Artificial Intelligence-Enabled Adaptive Learning Systems from 2010 to 2022 on Learner Outcomes: A Meta-Analysis. Journal of Educational Computing Research, 62(6), 1348-1383.
Whalen, C., Majocha, E., & Van Nuland, S. (2019). Novice Teacher Challenges and Promoting Novice Teacher Retention in Canada. European Journal of Teacher Education, 42(5), 591-607.
Ziębakowska-Cecot, K. (2019). Influence of Digital Media on Young Generation’s Social and Moral Competences. Megatrendy a Médiá, 6(1), 315-328.
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