Main Article Content

Abstract

Gen-Z has specific characteristics, one of the characteristics is being strongly connected to technology. It makes teachers nowadays should be able to facilitate them with technology-based learning media. One of the technologies that can be applied is Artificial Intelligence (AI). AI provides a self-directed learning activity where the students can learn by themselves using technology anywhere and anytime. This study aimed at developing a prototype design of AIClopedia (Artificial Intelligence Encyclopedia) by using the ADDIE method. AIClopedia is a learning media that can be used by the students in learning English which focuses on providing descriptive information of Indonesian endemic animals in two different languages (English and Bahasa Indonesia). The prototype has been judged by educational material and ICT media experts. The data of expert judgment rubrics showed that the prototype was categorized as excellent. It implied that the media can be used in facilitating Gen-Z students in Learning English.

Keywords

Artificial Intelligence Indonesian Endemic Animals Gen-Z

Article Details

How to Cite
Astawa, N. L. P. N. S. P., & Permana, P. T. H. (2020). ‘AIClopedia’: How Does It Facilitate Gen-Z Students in Learning English?. ELITE JOURNAL, 2(2), 143-154. Retrieved from http://elitejournal.org/index.php/ELITE/article/view/39

References

  1. Asosiasi Penyelenggara Jasa Internet Indonesa (APJII). (2017). Penetrasi dan Perilaku Pengguna Internet Indonesia: Survei 2017. Jakarta: AsosiasiPenyelenggara Jasa Internet Indonesia (APJII).
  2. Bhari, P. L., & Jetawat, A. (2017). The Future Potential Trends, Issues and Suggestions of Artificial Intelligence in Indian Education System. Imperial Journal of Interdisciplinary Research (IJIR), 3(1), 2454-1362 http://www.onlinejournal.in
  3. Daskalovska, N., Gudeva, L. K., & Ivanovska, B. (2012), Learner motivation and interest. Procedia – Social and Behavioral Sciences, 46(C), 1187-1191
  4. Deloitte. (2019). Global development of AI-based education. China: Deloitte
  5. Gamoura, Samiah, Mohamed, Bay & Krosh, Haiziah. (2018). Artificial Intelligence: A New Challenge of Law. International Forum. Algeria (26-27 November 2018)
  6. Haryanto, E., & Ali, R. M. (2019, January). Students’ Attitudes towards the Use of Artificial Intelligence SIRI in EFL Learning at One Public University. In International Seminar and Annual Meeting BKS-PTN Wilayah Barat (Vol. 1, No. 1).
  7. Huijnen, C. A., Lexis, M. A., Jansens, R., & de Witte, L. P. (2017). How to implement robots in interventions for children with autism? A co-creation study involving people with autism, parents and professionals. Journal of autism and developmental disorders, 47(10), 3079-3096.
  8. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education. Boston: Center for Curriculum Redesign.
  9. Indonesia, P. R. (2003). Undang-undang Republik Indonesia nomor 20 tahun 2003 tentang sistem pendidikan nasional. Jakarta: Pemerintah Republik Indonesia.
  10. JF, Pullen, D., & Swabey, K. (2014). Adolescent use of mobile phones: A social context. Australian Educational Computing, 29(1), 1-10.
  11. Jones, C., & Shao, B. (2011). The net generation and digital natives: implications for higher education. Retrieved from: https://www.researchgate.net/publication/277243597_The_Net_Generation_and_Digital_Natives_Implications_for_Higher_Education
  12. Karsenti, T. (2019). Artificial intelligence in education: the urgent need to prepare teachers for tomorrow’s schools. Formation et profession, 27(1), 112-116.
  13. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed. An argument for AI in Education. Retrieved from: https://www. pearson. com/content/dam/corporate/global/pearson-dot-com/files/innovation/Intelligence-Unleashed-Publication. pdf.
  14. Murphy, R. F. (2019). Artificial Intelligence Applications to Support K-12 Teachers and Teaching: A Review of Promising Applications, Opportunities, and Challenges. Perspective. RAND Corporation.
  15. Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. Paris: United Nations Educational, Scientific and Cultural Organization.
  16. Perera, M. & Aboal, D. (2018). The impact of a Mathematics Computer-Assisted Learning Platform on Students’ Mathematics Test Scores. Fundación CEIBAL. Available at: https://digital.fundacionceibal.edu.uy/jspui/ handle/123456789/225
  17. Phillips, C. R., & Trainor, J. E. (2014). Millennial students and the flipped classroom. Journal of Business and Educational Leadership, 21(1), 519–531.
  18. Redondo, R. E., & Martín, J. L. O. (2015). Motivation: The road to successful learning. Profile Issues in TeachersProfessional Development, 17(2), 125-136.
  19. Riswanto, A., & Aryani, S. (2017). Learning motivation and student achievement: description analysis and relationships both. The International Journal of Counseling and Education, 2(1), 42-47.
  20. Saavedra, A. R., & Opfer, V. D. (2012). Learning 21st-century skills requires 21st-century teaching. Phi Delta Kappan, 94(2), 8-13.
  21. Stillman, D., & Stillman, J. (2018). Generasi Z: Memahami Karakter Generasi Baru yang Akan Mengubah Dunia Kerja. Jakarta: PT Gramedia Pustaka Utama.
  22. Tuomi, I. (2018). The impact of artificial intelligence on learning, teaching, and education. Luxembourg: Publications Office of the European Union.
  23. Wang, R. (2019, June). Research on artificial intelligence promoting English learning change. In 3rd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2019). Atlantis Press.
  24. Widjaja, E. A., Rahayuningsih, Y., Rahajoe, J. S., Ubaidillah, R., Maryanto, I., Walujo, E. B., and Semiadi, G. (2014). Status Kekinian Keanekaragaman Hayati Indonesia (1st Edition). Jakarta: LIPI Press.