Nilai Pendidikan di Era Automasi: Implikasi Etis untuk Pendidikan Karakter Berbasis Islami
DOI:
https://doi.org/10.61132/hikmah.v2i4.1433Keywords:
Automation, Character Education, Digital Ethics, Educational Values, Islamic PerspectifAbstract
The era of automation has brought profound changes to the educational landscape through the integration of intelligent technologies, artificial intelligence, and digital systems that increasingly shape learning processes. This transformation not only affects the interaction patterns between educators and learners but also shifts foundational educational values and introduces significant ethical challenges. In the context of Islamic education, these changes require a reformulation of relevant educational values to preserve learners’ moral and spiritual integrity. This study aims to analyze Islamic educational values in the age of automation and examine their ethical implications for strengthening character education. Through a comprehensive literature-based approach, the study finds that values such as amanah (trustworthiness), adl (justice), ihsan (excellence), mas’uliyyah (accountability), and mujahadah (perseverance) serve as essential instruments in building learners’ character so they can use technology wisely and responsibly. Furthermore, the study emphasizes that automation demands the integration of digital literacy and Islamic moral literacy to prevent dehumanization, digital plagiarism, technology dependence, and the decline of spiritual awareness. The findings indicate that character education grounded in Islamic values provides a strong ethical framework for addressing emerging moral risks in the digital era. Therefore, curriculum reconstruction, strengthening the role of educators as “digital murrabbi,” and the proportional use of technology aligned with maqāṣid al-syarī‘ah are required. This research contributes by offering a comprehensive Islamic ethical perspective as a foundational framework for the development of character education amid the rapid and inevitable acceleration of automation.
References
Al-Ghazali, M. (2011). Ihya' Ulum al-Din. Dar al-Kutub al-‘Ilmiyyah.
Ali, A., & Basri, H. (2021). Islamic transformational leadership: Concept and practice. Journal of Islamic Management Studies, 5, 45–62.
Al-Qaradawi, Y. (1995). Daur al-Qiyam wa al-Akhlaq fi al-Iqtisad al-Islami. Maktabah Wahbah.
Anderson, C. (2014). Makers: The new industrial revolution. Crown Business.
Bogdan, R. C., & Biklen, S. K. (2007). Qualitative research for education. Allyn & Bacon.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2). https://doi.org/10.1191/1478088706qp063oa
Carr, N. G. (2011). The shallows: What the Internet is doing to our brains. W. W. Norton.
Creswell, J. W. (2018). Qualitative inquiry and research design. SAGE Publications.
Dyer, J. (2019). From garden to the city: The redeeming and corrupting power of technology. Kregel Publications.
Eaton, S. (2021). Plagiarism in higher education: Tackling tough topics in academic integrity. Springer. https://doi.org/10.5040/9798400697142
Floridi, L. (2013). The ethics of information. Oxford University Press.
Gottschalk, L. (1969). Understanding history: A primer of historical method. Alfred A. Knopf.
Jama’ah, I. (1993). Tadhkirat as-Sami’ wa al-Mutakallim. Dar al-Basha'ir.
Krippendorff, K. (2013). Content analysis: An introduction to its methodology (3rd ed.). SAGE Publications.
Lickona, T. (2009). Educating for character. Bantam Books.
Luckin, R. (2018). Machine learning and human intelligence. UCL Institute of Education Press.
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis (2nd ed.). SAGE Publications.
Miskawayh, A. I. M. I. (1983). Tahdzib al-Akhlaq. Dar al-Ma’arif.
Mulyasa, E. (2017). Kurikulum 13: Implementasi dan pengembangan. Remaja Rosdakarya.
Nasr, S. H. (2015). Islam and the modern man. Kazi Publications.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing.
OECD. (2015). Students, computers and learning: Making the connection. OECD Publishing.
Schwab, K. (2017). The Fourth Industrial Revolution. Crown Business.
Seldon, A., & Abidoye, O. (2018). The Fourth Education Revolution: Will artificial intelligence liberate or infantilise humanity? University of Buckingham Press.
Selwyn, N. (2016). Education and technology: Key issues and debates. Bloomsbury. https://doi.org/10.5040/9781474235952
Turkle, S. (2015). Reclaiming conversation. Penguin.
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO Publishing.
UNESCO. (2022). AI and the future of education: Policy recommendations. UNESCO Publishing.
Wahyudi, A. (2021). Inovasi pembelajaran di era 4.0. UIN-Malang Press.
Zed, M. (2008). Metode penelitian kepustakaan. Yayasan Obor Indonesia.
