The Readiness Of Private University Graduates In Banten Province To Face The Era Of Artificial Intelligence
Keywords:
College Graduates, Integration, Artificial IntelligenceAbstract
The rapid advancement of artificial Intelligence in education and employment necessitates that universities generate graduates capable of adapting to the future of artificial Intelligence. Numerous studies have examined the adaptation and challenges of implementing AI among students. This study aims to identify the essential values and their incorporation into curricula to enhance students' preparedness for the contemporary workforce influenced by Artificial Intelligence. The study used a qualitative method, using literature studies and empirical studies. The study's findings indicate that students must possess seven skills to effectively compete with advancements in AI technology: problem-solving, critical thinking, creativity and innovation, communication, collaboration, digital data literacy, and ethical judgment. With these skills, students can control and collaborate with technology, making production performance more effective, efficient, and high quality. Acquiring skills to navigate the AI era can be achieved by incorporating Logic, Philosophy, English, Business Management, Research Methodology, Entrepreneurship, and Ethics courses.
References
Abidin, Z. (2021). Kurikulum Operasional. Unindra Press.
Alexandra, J., & Budiyantara, A. (2022). Perancangan Artificial Intelligence Untuk Kurikulum Pembelajaran Di Perguruan Tinggi. Infotech: Journal of Technology Information, 8(1), 23–28. https://doi.org/10.37365/jti.v8i1.128
Bayu Pratama, E., Hendini, A., Yanto, Y., & Fitri Hidayat, W. (2024). Menggali Potensi Belajar Mengajar Dengan Teknologi Ai (Artificial Intelligence). JATI (Jurnal Mahasiswa Teknik Informatika), 7(6), 3530–3534. https://doi.org/10.36040/jati.v7i6.8956
Diyah, I., Arifah, C., Nusantara, U. B., & Surabaya, U. N. (2022). Job Placement Artificial Intelligence Di Industri Jasa: Tinjauan Pustaka Sistematis. Jurnal Ilmu Manajemen, 10(3), 911–929.
George, A. S. (2023). Preparing Students for an AI-Driven World: Rethinking Curriculum and Pedagogy in the Age of Artificial Intelligence Partners Universal Innovative Research Publication ( PUIRP ) Preparing Students for an AI-Driven World: Rethinking Curriculum and Pedagogy in the Age of Artificial Intelligence. December. https://doi.org/10.5281/zenodo.10245675
Goleman, D. (2018). Emotional Intelligence. In Bantam Dell.
Hakam, K. A., & Encep, S. N. (2016). Metode Internalisasi Nilai-Nilai: Untuk Memodifikasi Perilaku Berkarakter. Maulana Media Grafika.
Lesilolo, H. J. (2018). Penerapan Teori Belajar Sosial Albert Bandura Dalam Proses Belajar Mengajar Di Sekolah. 4(2), 186–202.
Mashudi, M. (2021). Pembelajaran Modern: Membekali Peserta Didik Keterampilan Abad Ke-21. Al-Mudarris (Jurnal Ilmiah Pendidikan Islam), 4(1), 93–114. https://doi.org/10.23971/mdr.v4i1.3187
Masrichah, S. (2023). Ancaman Dan Peluang Artificial Intelligence ( AI ). 3(3).
Mohammad, S. M. (2020). Artificial Intelligence In Information Technology. 7(6), 168–175.
Morgan, H. (2021). Howard Gardner's multiple intelligences theory and his ideas on promoting creativity. Celebrating giants and trailblazers in creativity research and related fields, pp. 124–141.
Netragaonkar, Y. (2024). Artificial Intelligence (AI) in Higher Education. February
Nurhadi, A. F. M., & Indria, L. S. (2019). Analisis Pendidikan Kritis Paulo Freire pada Pemanfaatan Ekstrakurikuler Teater di Sekolah (Studi Kasus Di SMA Negeri 3 Surakarta). Kemampuan Koneksi Matematis (Tinjauan Terhadap Pendekatan Pembelajaran Savi), 53(9), 1–18.
Pierrès, O., Darvishy, A., & Christen, M. (2023). Artificial Intelligence in Higher Education: Ethical Concerns for Students with Disabilities. 2492, 0–2.
Purnami, R. S., & Rohayati, R. (2016). Implementasi Metode Experiential Learning Dalam Pengembangan Softskill Mahasiswa Yang Menunjang Integrasi Teknologi, Manajemen Dan Bisnis. Jurnal Penelitian Pendidikan, 13(1). https://doi.org/10.17509/jpp.v13i1.3511
Regina, P., Prakasa, S., & Chusairi, A. (2023). Sebuah Tinjauan Literatur : Peran Perguruan Tinggi Untuk Meningkatkan Kesiapan Kerja Para Lulusan. Proceeding Series of Psychology, 1(1), 159–169.
Ririh, K. R., Laili, N., Wicaksono, A., Tsurayya, S., Penelitian, P., Ilmu, M., & Teknologi, P. (2020). Studi komparasi dan analisis swot pada implementasi kecerdasan buatan ( artificial intelligence ) di indonesia. 15(2), 122–133.
Roemmich, K., Schaub, F., & Andalibi, N. (2023). Emotion AI at Work: Implications for Workplace Surveillance, Emotional Labor, and Emotional Privacy. Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3544548.3580950
Sambul, S. A. P. (2018). Pengaruh Penguasaan Teknologi Informasi Terhadap Kinerja Karyawan Pada PT. Telkom Indonesia Cabang Manado. 6(2), 10–16
Saragih, L. (2019). Identifikasi Dampak Perkembangan Teknologi Terhadap Tenaga Kerja Toko Ritel Indonesia: Studi Kasus Toko X (Identifying the Impact of Technological Progress on the Labor of Retail Stores: a Case Study of Store X). Jurnal Kependudukan Indonesia |, 14(Juni), 13–28.
Siti Nuraeni Mitra, Siti Qomariyah, & Siti Rahmawati. (2023). Peran Metode Mind Mapping Dalam Meningkatkan Berpikir Sistematis Pada Siswa Di SMP Islam Hegarmanah Sukabumi. SOKO GURU: Jurnal Ilmu Pendidikan, 3(1), 84–103. https://doi.org/10.55606/sokoguru.v3i1.2089
amrin, M., S. Sirate, S. F., & Yusuf, M. (2011). Teori Belajar Vygotsky dalam Pembelajaran Matematika. Sigma (Suara Intelektual Gaya Matematika), 3(1), 40–47.
UNESCO. (2023). Harnessing the Era of Artificial Intelligence in Higher Education.
Whalen, K. (2018). The Reflective Learning Framework: A guide for students and educators
