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Abstract

Penelitian ini bertujuan menganalisis proses yang dapat dilakukan dalam adopsi teknologi generative artificial Intelligence (AI) melalui perspektif teori difusi inovasi sehingga dapat memaksimalkan kebermanfaatannya. Metode yang digunakan adalah meta-sintesis dengan pendekatan kualitatif. Data penelitian diperoleh dari literatur Scopus yang dipublikasikan pada November 2023 – April 2024. Hasil meta-sintesis menunjukkan terdapat beberapa cara yang perlu dilakukan dalam mendukung proses adopsi generative AI, yaitu memahami potensi dan risiko, menanamkan nilai-nilai dasar penggunaan AI, meningkatkan kompetensi penyusunan prompt, meningkatkan penggunaan dan uji generative AI di dalam kelas, serta kolaborasi antar aktor dalam sektor pendidikan. Proses adopsi generative AI dihadapkan pada beberapa dilema dan tantangan. Dilema tersebut adalah menurunkan integritas akademik sehingga diperlukan penanaman nilai dasar penggunaan disamping perlunya keterampilan teknis dalam menyusun prompt. Tantangan lainnya adalah masih tertutupnya sistem pendidikan terhadap teknologi AI. Oleh karena itu, setiap aktor pendidikan harus berkolaborasi dalam menyosialisasikan generative AI, membuat kebijakan yang tepat untuk mengujicobakan AI, dan mengembangkan kurikulum agar teknologi generative AI dapat menjadi bagian dari pembelajaran. Kesimpulan, proses adopsi teknologi generative AI dalam dunia pendidikan menimbulkan dilema dan diperlukan kolaborasi para pemangku kepentingan pendidikan agar kehadiran teknologi tersebut dapat dimanfaatkan dengan baik dalam pembelajaran.

Keywords

generative Artificial Intelligence difusi inovasi teknologi digital teknologi pedidikan

Article Details

How to Cite
Sugiono, S. (2024). Proses Adopsi Teknologi Generative Artificial Intelligence dalam Dunia Pendidikan: Perspektif Teori Difusi Inovasi. Jurnal Pendidikan Dan Kebudayaan, 9(1), 110 - 133. https://doi.org/10.24832/jpnk.v9i1.4859

References

  1. Amato, F., Galli, A., Gravina, M., Marassi, L., Marrone, S., & Sansone, C. (2023). AI-Powered Learning: Personalizing education for each student. CEUR Workshop Proceedings, 478–483. ceur-ws.org
  2. Anggarini, P.E., Manangkot, M.V., & Kamayani, M.O.A. (2022). Hubungan kecanduan internet dengan kecerdasan emosional pada remaja. Jurnal Ilmu Keperawatan Jiwa, 5(2), 381–394.
  3. Babu, C.V.S., & Adhithya, S. (2023). ChatGPT and other generative AI tools in education: Transformative potential and ethical considerations. Creative AI Tools and Ethical Implications in Teaching and Learning, 135–152. IGI Global. doi.org/10.4018/979-8-3693-0205-7.ch007
  4. Bahar, S.C., Raihani, A.H., & Nur’Aini, J.D. (2022). Pergeseran minat masyarakat terhadap lembaga bimbingan konvensional oleh lembaga bimbingan online. Seminar Nasional Ilmu Ilmu Sosial (SNIIS) 2022, 604, 604–610.
  5. Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of Generative Artificial Intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 52(7), 52–62.
  6. BestColleges. (2023). 56% of college students have used AI on Assignments or Exams. https:// www.bestcolleges.com/research/most-college-students-have-used-ai-survey/
  7. Chan, C.K.Y., & Zhou, W. (2023). An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learning Environments, 10(1). doi.org/10.1186/ s40561-023-00284-4
  8. Chougule, A., Joan, M., Stephen, M., & Saini, P. (2021). Online webinars a new learning solution in the pandemic times: An evaluation of AFOMP initiative of monthly webinar series. Medical Physics International Journal, 9(1), 15–21. www.afomp.org
  9. Darmawan, D. (2010). Biologi komunikasi melalui “Implementasi Information Communications Technology.” Mimbar, XXVI(2), 183–204. doi.org/10.29313/mimbar.v26i2.304
  10. Darmawan, D. (2014). Peningkatan aksesibilitas “3 M-Mobile Learning” sebagai layanan pendidikan. MIMBAR, 30(1), 28–41. doi.org/10.29313/mimbar.v30i1.440
  11. Darmawan, D. (2022). Applied Bio-Communication For language competence. International Journal of Scientific & Technology Research, 10(2), 152–159. www.ijstr.org
  12. Darmawan, D., Hernawan, A.H., Septiana, A.I., Rachman, I., & Kodama, Y. (2021). Developing of Hologram Multimedia for Speed Learning Through Bio-Communication. Journal of Hunan University (Natural Sciences), 48(8), 41–46.
  13. Darmawan, D., Kiyindou, A., & Pascal, C. (2019). ICMLS version 3.0 as a prototype of bio communication model for revolutionary human numerical competences on vocational education practices. Journal of Physics: Conference Series, 1402(7). doi.org/10.1088/17426596/1402/7/077073
  14. Darmawan, D., Ruyadi, Y., Abdu, W.J., & Hufad, A. (2017). Efforts to know the rate at which students analyze and synthesize information in science and social science disciplines: A multidisciplinary bio-communication study. In OnLine Journal of Biological Sciences, 17(3), 226–231. Science Publications. doi.org/10.3844/ojbsci.2017.226.231
  15. Department for Education. (2023). Generative AI in education Call for Evidence: summary of responses. https://assets.publishing.service.gov.uk/media/65609be50c7ec8000d95bddd/Generative_AI_call_for_evidence_summary_of_responses.pdf
  16. Department of Education. (2023). Australian framework for generative artificial intelligence in schools. https://www.education.gov.au/download/17416/australian-framework-generative artificial-intelligence-ai-schools/35400/document/pdf
  17. Dincer, S. (2018). Content analysis in scientific research: Meta-Analysis, Meta-Synthesis, and Descriptive Content Analysis. Bartýn Üniversitesi Eðitim Fakültesi Dergisi, 7(1), 176–190. doi.org/10.14686/buefad.363159
  18. Drobnjak, A., Boticki, I., Seow, P., & Kahn, K. (2023). Learning with conversational AI and personas: A Systematic Literature Review. Proceedings of the 31st International Conference on Computers in Education. Asia-Pacific Society for Computers in Education.
  19. Dron, J. (2023). The human nature of generative ais and the technological nature of humanity: Implications for education. Digital, 3(4), 319–335. doi.org/10.3390/digital3040020
  20. Elias, J., & Raja, A. (2023). Impact, opportunity, and challenges of Generative AI. https:// indiaai.s3.ap-south 1.amazonaws.com/docs/generative-ai-report.pdf
  21. Faruk, L.I.D., Rohan, R., Ninrutsirikun, U., & Pal, D. (2023, December 6). University students’ acceptance and usage of Generative AI (ChatGPT) from a psycho-technical perspective. ACM International Conference Proceeding Series. doi.org/10.1145/3628454.3629552
  22. Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277–304). doi.org/10.1080/15228053.2023.2233814
  23. Goodnotes. (2023). Generative AI in schools: Evolving coursework, homework, and assessment in the age of AI. https://www.goodnotes.com/research/generative-ai-in-schools
  24. Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7),692. doi.org/10.3390 educsci13070692
  25. Hidayat-ur-Rehman, I., & Ibrahim, Y. (2023). Exploring factors influencing educators’ adoption of ChatGPT: A mixed method approach. Interactive Technology and Smart Education. doi.org/ 10.1108/ITSE-07-2023-0127
  26. Hoon, C. (2013). Meta-synthesis of qualitative case studies: An approach to theory building. Organizational Research Methods, 16(4), 522–556. doi.org/10.1177/1094428113484969
  27. Intelligent. (2023). One-Third of college students used chatgpt for schoolwork during the 2022-23 academic year. https://www.intelligent.com/one-third-of-college-students-used chatgpt-for-schoolwork-during-the-2022-23-academic-year/
  28. Ivanov, S., Soliman, M., Tuomi, A., Alkathiri, N.A., & Al-Alawi, A.N. (2024). Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour. Technology in Society, 77. doi.org/10.1016/j.techsoc.2024.102521
  29. Johri, A., Lindsay, E., & Qadir, J. (2023). Ethical concerns and responsible use of generative artificial intelligence in engineering education. SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings, 2244–2253. doi.org/10.21427/0T6R-FZ62
  30. Kaplan-Rakowski, R., Grotewold, K., Hartwick, P. & Papin, K. (2023). Generative AI and teachers’ perspectives on its implementation in education. Journal of Interactive Learning Research, 34(2), 313-338. Waynesville, NC: Association for the Advancement of Computing in Education (AACE).
  31. Krutka, D.G., Smits, R.M., & Willhelm, T.A. (2021). Don’t be evil: Should we use google in schools? TechTrends, 65, 421–431. doi.org/10.1007/s11528-021-00599-4/Published
  32. Lemke, C., Kirchner, K., Anandarajah, L., & Herfurth, F. N. (2023). Exploring the student perspective: Assessing technology readiness and acceptance for adopting large language models in higher education. The 22nd European Conference on E-Learning, 156–164. doi.org/10.34190/ ecel.22.1.1828
  33. Lestariani, N. (2023). Analisis Hasil Belajar Kognitif Mahasiswa Melalui Peningkatan Otonomi Belajar dan Literasi Informasi Digital. Jurnal Pendidikan dan Kebudayaan, 8(2), 218 – 238. doi.org/ 10.24832/jpnk.v8i2.4392
  34. Manley, L., & Holley, R.P. (2012). History of the ebook: The changing face of books. Technical Services Quarterly, 29(4), 292–311. doi.org/10.1080/07317131.2012.705731
  35. Marquez, R., Barrios, N., Vera, R., Mendez, M.E., Tolosa, L., Zambrano, F., & Li, S.Y. (2023). A perspective on the synergistic potential of articial intelligence and product-based learning strategies in biobased materials education. Research Square. doi.org/10.21203/rs.3.rs2711749/v1
  36. Marr, B. (2023). The future internet how the metaverse, Web 3.0, and Blockchain will transform business and society. Wiley.
  37. Michalon, B., & Camacho-Zuñiga, C. (2023). ChatGPT, a brand-new tool to strengthen timeless competencies. Frontiers in Education, 8. doi.org/10.3389/feduc.2023.1251163
  38. Ministry of Education. (2023). Generative AI. https://www.education.govt.nz/school/digital technology/generative-ai-tools-things-to-consider-if-youre-thinking-of-using-them-atschool/
  39. Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of Generative AI for education. 2023 IEEE Global Engineering Education Conference (EDUCON), 1–9. doi.org/ 10.1109/EDUCON54358.2023.10125121
  40. Rajabi, P., Taghipour, P., Cukierman, D., & Doleck, T. (2023, May 4). Exploring ChatGPT’s impact on post-secondary education: A qualitative study. ACM International Conference Proceeding Series. doi.org/10.1145/3593342.3593360
  41. Rogers, E.M. (2003). Diffusion of Innovations (Fifth Edition). FREE PRESS. Ruiz-Rojas, L.I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix. Sustainability (Switzerland), 15(15). doi.org/10.3390/su151511524
  42. Severgnini, E., Takahashi, A.R.W., & Abib, G. (2019). Risk and organizational ambidexterity: A meta-synthesis of a case study and a framework. Brazilian Business Review, 16(5), 470-499. doi.org/10.15728/bbr.2019.16.5.4
  43. Su, J., & Yang, W. (2023). Unlocking the power of ChatGPT: A framework for applying Generative AI in education. ECNU Review of Education, 6(3), 355–366. doi.org/10.1177/ 20965311231168423
  44. Tiwari, C.K., Bhat, M.A., Khan, S.T., Subramaniam, R., & Khan, M.A.I. (2023). What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT. Interactive Technology and Smart Education. doi.org/10.1108/ITSE-04-2023-0061
  45. Tlili, A., Shehata, B., Adarkwah, M.A., Bozkurt, A., Hickey, D.T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1). doi.org/10.1186/s40561-023-00237-x
  46. UNESCO. (2023). Guidance for generative AI in education and research. https://www.unesco.org/en/open-access/cc-sa
  47. Vargo, S.L., Akaka, M.A., & Wieland, H. (2020). Rethinking the process of diffusion in innovation: A service-ecosystems and institutional perspective. Journal of Business Research, 116, 526-534. doi.org/10.1016/j.jbusres.2020.01.038
  48. Zastudil, C., Rogalska, M., Kapp, C., Vaughn, J., & MacNeil, S. (2023). Generative AI in computing education: Perspectives of students and instructors. Human-Computer Interaction. http:/ /arxiv.org/abs/2308.04309
  49. Zawiah, M., Al-Ashwal, F.Y., Gharaibeh, L., Farha, R.A., Alzoubi, K.H., Hammour, K.A., Qasim, Q.A., & Abrah, F. (2023). ChatGPT and Clinical Training: Perception, Concerns, and Practice of Pharm-D Students. Journal of Multidisciplinary Healthcare, 16, 4099–4110. doi.org/10.2147/ JMDH.S439223