Rancang Bangun Prototype Model Critical Cyber Pedagogy Pada Mata Kuliah Metode Penelitian untuk Membangun Literasi Gen-AI Mahasiswa PGSD

Authors

  • Ani Hendriani Universitas Pendidikan Indonesia
  • Teguh Ibrahim Universitas Pendidikan Indonesia
  • Deti Rostika Universitas Pendidikan Indonesia
  • Aiz Napisatul Maola UIN Siber Syekh Nurjati Cirebon

Keywords:

literasi AI, pedagogi kritis, pembelajaran siber, penulisan akademis, calon guru

Abstract

Perkembangan pesat teknologi Gen-AI seperti Chat GPT, Gemini, atau Perplexity telah memberikan paradigma baru dalam praktik penulisan akademik di kalangan mahasiswa. Teknologi Gen-AI menawarkan kemudahan dan efisiensi yang menimbulkan peluang sekaligus resiko bagi orisinalitas penelitian dan integritas perguruan tinggi. Menyikapi fenomena tersebut, penelitian ini bertujuan menyajikan solusi perancangan prototype model pembelajaran berbasis Critical Cyber Pedagogy (CCB) yang diimplementasikan pada mata kuliah metode penelitian untuk membangun Literasi Gen-AI mahasiswa PGSD dalam konteks penelitian dan penulisan akademik. Literasi Gen-AI memiliki empat dimensi utama yaitu : memahami konsep Gen-AI, memiliki keterampilan penggunaan Gen-AI secara interaktif, mengevaluasi luaran Gen-AI, dan mematuhi etika dan regulasi penggunaan Gen-AI pada proses penelitian. Penelitian ini menggunakan pendekatan Educational Design Research (EDR), yang meliputi : 1) Analisis situasi, 2) peracangan design prototipe, 3) evaluasi dan validasi pakar, 4) revisi dan refleksi. Partisipan adalah mahasiswa semester 7 yang mengikuti mata kuliah metodologi penelitian pada program studi PGSD UPI. Data dikumpulkan melalui kuesioner, refleksi dialogis kelompok, lembar kerja proses, dan observasi kelas. Penelitian ini menghasilkan prototipe Model Critical Cyber Pedagogy dan instrumen literasi AI yang terdiri dari tugas tertulis dan lembar kerja berbasis proses yang telah diimplementasikan pada skala terbatas. Penelitian ini memiliki signifikansi dalam memperkaya literatur tentang model pembelajaran di perguruan tinggi yang berpotensi meningkatkan literasi Gen-AI mahasiswa pada proses penulisan proposal penelitian secara kritis dan etis serta mempersiapkan calon guru SD dalam penulisan akademis yang transformatif dan praktik pembelajaran digital yang adil.

 

References

Alkaissi, H., & McFarlane, S. I. (2023). Artificial Hallucinations in ChatGPT: Implications in Scientific Writing. Cureus, 15(2), 2–5. https://doi.org/10.7759/cureus.35179

Almarzouqi, A., Aburayya, A., Alfaisal, R., Elbadawi, M. A., & Salloum, S. A. (2024). Ethical implications of using ChatGPT in educational environments: A comprehensive review. In Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom. https://doi.org/https://doi.org/10.1007/978-3-030-76025-7_11

Arthur, R. (2023). AI tools for teachers. Rachel Arthur Writes. https://rachelarthurwrites.com/2023/04/24/ai-tools-for-teachers/

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.

Berente, N., Gu, B., Recker, J., &, & Santhanam, R. (n.d.). Managing artificial intelligence. MIS Quarterly, 45((3)), 1433–1450.

Burgsteiner, H., Kandlhofer, M., & Steinbauer, G. (2016). Irobot: Teaching the basics of artificial intelligence in high schools. In Proceedings of the AAAI Conference on Artificial Intelligence, 30(1).

Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (2023). Artificial intelligence and the future of teaching and learning. Office of Educational Technology. https://tech.ed.gov/files/2023/05/ai-future-of-teaching-and-learning-report.pdf

Cetindamar, D., Kitto, K., Wu, M., Zhang, Y., Abedin, B., &, & Knight, S. (2022). Explicating AI literacy of employees at digital workplaces. Workplaces. IEEE Transactions on Engineering Management, 1–14. https://doi.org/10.1109/tem.2021.3138503

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8

Cheney, P. H., Hale, D. P., & Kasper, G. M. (1990). Knowledge, skills and abilities of information systems professionals: Past, present, and future. In Information & Management (Issue 19).

Chheang, V., Marquez-Hernandez, R., Patel, M., Rajasekaran, D., Sharmin, S., Caulfield, G., & Barmaki, R. L. (2023). Towards anatomy education with generative AI-based virtual assistants in immersive virtual reality envi ronments.

D’Agostino, S. (2023). How AI tools both help and hinder equity. Inside Higher Education.

D, D. C., NM, B., & B, F. (2023). How generative AI could disrupt creative work. Harvard Business Review.

Dai, Y., Chai, C.-S., Lin, P.-Y., Jong, M. S.-Y., Guo, Y., & Qin, J. (2020). Promoting students’ well-being by developing their readiness for the artificial intelligence age. Sustainability, 12((16)).

Deuze, M., & Beckett, C. (2022). Imagination, algorithms and news: Developing AI literacy for journalism. Digital Journalism, 10((10)), 1913–1918.

FAQ. (2023). Elicit. https://elicit.org/faq

Freire, P. (2021). Education for Critical Consciousness. In Education for Critical Consciousness (pp. 1–145). https://doi.org/10.5040/9781350190184

Giroux, H. A. (2020). On Critical Pedagogy. https://id.scribd.com/document/556558121/Henry-a-Giroux-On-Critical-Pedagogy-2020

Han, X., Hu, F., Xiong, G., Liu, X., Gong, X., Niu, X., &, & Wang, X. (2018). Design of AI+ curriculum for primary and secondary schools in qingdao. In In Chinese Automation Congress (CAC), 4135–4140.

Heikkilä, M. (n.d.). How AI-generated text is poisoning the internet. MIT Technology Review. https://www.technologyreview.com/2022/12/20/1065667/how-ai-generated-text-is-poisoning-the-internet/

Herft, A. (2023). A teacher’s prompt guide to ChatGPT aligned with “what works best.”

Heyder, T., & Posegga, O. (2023). Extending the foundations of AI literacy ( Research-in-Progress ) Association for Information Systems IS and the Future of Work Extending the foundations of AI literacy. December 2021.

Jain, H., Padmanabhan, B., Pavlou, P. A., & & Raghu, T. S. (2021). Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society. Information Systems Research, 32((3)), 675–687.

Jorzik, P., Yigit, A., Kanbach, D. K., Kraus, S., & Dabi ?c, M. (2023). Artificial intelligence- enabled business model innovation: Competencies and roles of top management. IEEE Transactions on Engineering Management, 1–13. https://doi.org/10.1109/%0Atem.2023.3275643

Kadaruddin Kadaruddin. (2023). Empowering Education through Generative AI: Innovative Instructional Strategies for Tomorrow’s Learners. International Journal of Business, Law, and Education, 4(2), 618–625.

Kim, K., & Kwon, K. (2023). Exploring the AI competencies of elementary school teachers in South Korea. Computers & Education: Artificial Intelligence, 4.

Kusuma, M., Mohanty, V., Wang, M., &, & Luther, K. (2022). Civil war twin proceedings of the 2022 AAAI/ACM conference on AI, ethics, and society.

L, B., & G, S. (2023). Generative artificial intelligence. Electronic Markets., 33((1)). https://doi.org/doi: 10.1007/s12525-023-00680-1

Laupichler, M. C., Aster, A., &, & Raupach, T. (2023). Delphi study for the development and preliminary validation of an item set for the assessment of non-experts’ AI literacy. Computers & Education: Artificial Intelligence,.

Lee, I., Ali, S., Zhang, H., DiPaola, D., &, & Breazeal, C. (2021). Developing middle school students’ AI literacy proceedings of the 52nd ACM technical symposium on computer science education, virtual.

Long, D., Blunt, T., &, & Magerko, B. (2021). Co-designing AI literacy exhibits for informal learning spaces. Proceedings of the ACM on Human-Computer Interaction, 1–35.

Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. 1–16. https://doi.org/https://doi.org/10.1145/3313831.3376727

Maitz, K., Fessl, A., Pammer-Schindler, V., Kaiser, R., & Lindstaedt, S. (2022). What do construction workers know about artificial intelligence?. In An Exploratory Case Study in an Austrian SME Mensch Und Computer. https://doi.org/10.1145/%0A3543758.3547545

Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R.Howard, S., Tondeur, J., Laat, D., M., Buckingham Shum, S., Ga?sevi ?c, D., &, & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers & Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2022.100056

Martin, A. J. (2023). Educational Psychology Meets Generative AI. Psychology Today. https://www.psychologytoday.com/us/blog/psyched/202305/educational-psychology-meets-generative-ai

Mikalef, P., Conboy, K., Lundström, J. E., & Popovi?, A. (2022). Thinking responsibly about responsible AI and ‘the dark side’ of AI. European Journal of Information Systems, 31(3), 257–268. https://doi.org/10.1080/0960085X.2022.2026621

Mills, A. R. (2023). ChatGPT just got better. What does that mean for our writing assignments? The Chronicle of Higher Education.

Milmo, D. (2023). ChatGPT reaches 100 million users two months after launch. The Guardian. https://www.theguardian.com/technology/2023/feb/02/chat%0Agpt-100-million-users-open-ai-fastest-growing-app%0A

Murgia, M., & Staton, B. (2023). The AI revolution is already transforming education. Financial Times. https://www.ft.com/content/47fd20c6-240d-4ffa-a0de-70717712ed1c

P, M., K, M., K, K., & Al, E. (2024). Preparing educators to teach and create with generative artificial intelligence (French). Canadian Journal of Learning and Technology, 50((4)), 1–23. https://doi.org/10.21432/cjlt28606

Pinski, M., & Benlian, A. (2024). AI literacy for users – A comprehensive review and future research directions of learning methods, components, and effects. Computers in Human Behavior: Artificial Humans, 2(1), 100062.

S., A. (2023). Generative AI and human labor: who is replaceable? AI & SOCIETY. 39((6)), 3051–3053. https://doi.org/10.1007/s00146-023-01773-3

SC, K., & Y., Y. (2024). A Human-Centered Learning and Teaching Framework Using Generative Artificial Intelligence for Self Regulated Learning Development Through Domain Knowledge Learning in K–12 Settings. IEEE Transactions on Learning Technologies., 17, 1562–1573. https://doi.org/doi: 10.1109/tlt.2024.3392830

SS, S., AB, H., S, K., & Al., E. (2024). Generative Artificial Intelligence: A Systematic Review and Applications.

Weber, P., Pinski, M., & Baum, L. (2023). Toward an objective Measurement of AI literacy pacific asia conference on information systems, nanchang, China.

Wilton, L., Ip, S., & Fan, M. S. & F. (2022). Where is the AI? AI literacy for educators. In Artificial intelligence in education. Posters and late breaking results, workshops and tutorials, Industry and innovation tracks, practitioners’ and doctoral consortium. https://doi.org/https://doi.org/10.1007/978-3-031-11647-6_31

Xu, J. J., &, & Babaian, T. (2021). Artificial intelligence in business curriculum: The pedagogy and learning outcomes. International Journal of Management in Education, 19((3)). https://doi.org/10.1016/j.ijme.2021.100550

Published

2025-11-11