Teknik Pengembangan Rencana Tugas Kelas berbasis Kecerdasan Generatif sebagai Solusi Untuk Menangani Kecurangan dengan Bantuan AI

  • Acep Hendra Universitas Informatika Dan Bisnis Indonesia
  • Handoko Supeno Universitas Pasundan Bandung
Keywords: generative AI, teaching and learning process, AI-assisted teaching

Abstract

Pendidikan merupakan hal yang vital bagi perkembangan sebuah bangsa dan negara. Sayangnya teknik dan proses belajar mengajar terutama strategi pemberian tugas ajar yang ada cenderung tertinggal dengan kemajuan teknologi yang semakin pesat, hal ini menyebabkan minimnya pencegahan kecurangan yang saat ini semakin dimudahkan dengan keberadaan kecerdasan buatan terutama kecerdasan generatif dengan kemampuan yang luar biasa untuk menciptakan jawaban tugas secara instan. Jika terus dibiarkan maka hal ini dapat menurunkan kualitas pendidikan di Indonesia. Walaupun kajian mengenai pemanfaatan kecerdasan generatif telah banyak dilakukan namun masih belum ada metodologi praktis yang membimbing pengajar untuk dapat merencanakan tugas siswa berbasis kecerdasan generatif tersebut.  Penelitian ini mengusulkan metodologi untuk pengembangan rencana tugas kelas yang berbasis kecerdasan generatif yang kemudian kami namakan sebagai Generative AI-based Classroom Task Planning(GACTP).

Kata kunci: Kecerdasan generatif, proses belajar mengajar, kecurangan dengan bantuan AI

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References

V. González-Calatayud, P. Prendes-Espinosa, and R. Roig-Vila, “Artificial Intelligence for Student Assessment: A Systematic Review,” Applied Sciences, vol. 11, no. 12, p. 5467, Jun. 2021, doi: 10.3390/app11125467.

O. C. Santos and J. G. Boticario, “Involving Users to Improve the Collaborative Logical Framework,” The Scientific World Journal, vol. 2014, pp. 1–15, 2014, doi: 10.1155/2014/893525.

A. S. Drigas and R.-E. Ioannidou, “A Review on Artificial Intelligence in Special Education,” in Information Systems, E-learning, and Knowledge Management Research, vol. 278, M. D. Lytras, D. Ruan, R. D. Tennyson, P. Ordonez De Pablos, F. J. García Peñalvo, and L. Rusu, Eds., in Communications in Computer and Information Science, vol. 278. , Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 385–391. doi: 10.1007/978-3-642-35879-1_46.

A. T. M. S. Ahamed, N. T. Mahmood, and R. M. Rahman, “An intelligent system to predict academic performance based on different factors during adolescence,” Journal of Information and Telecommunication, vol. 1, no. 2, pp. 155–175, Apr. 2017, doi: 10.1080/24751839.2017.1323488.

P. Rhienmora, P. Haddawy, S. Suebnukarn, and M. N. Dailey, “Intelligent dental training simulator with objective skill assessment and feedback,” Artificial Intelligence in Medicine, vol. 52, no. 2, pp. 115–121, Jun. 2011, doi: 10.1016/j.artmed.2011.04.003.

S. Lau and P. Guo, “From ‘Ban It Till We Understand It’ to ‘Resistance is Futile’: How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot,” in Proceedings of the 2023 ACM Conference on International Computing Education Research V.1, Chicago IL USA: ACM, Aug. 2023, pp. 106–121. doi: 10.1145/3568813.3600138.

M. Wermelinger, “Using GitHub Copilot to Solve Simple Programming Problems,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1, Toronto ON Canada: ACM, Mar. 2023, pp. 172–178. doi: 10.1145/3545945.3569830.

I. Adeshola and A. P. Adepoju, “The opportunities and challenges of ChatGPT in education,” Interactive Learning Environments, pp. 1–14, Sep. 2023, doi: 10.1080/10494820.2023.2253858.

N. Nuramila, A. H. Ali, P. D. Agustin, D. N. Djou, and E. Sartika, “Pembuatan Media Pembelajaran Berbasis Virtual Assistant Pictory & Fliki AI (Artificial Intelligence) Di SMP Negeri 6 Kota Gorontalo,” Jurnal Pengabdian Bersama Masyarakat Indonesia, vol. 2, no. 1, pp. 55–65, 2024.

A. I. Noviyanti, N. E. Hidayanto, and P. R. Wijaya, “Pembelajaran Berbasis AI (Artificial Intelligence) untuk Anak Usia Dini,” JECIE, vol. 7, no. 1, pp. 150–155, Dec. 2023, doi: 10.31537/jecie.v7i1.1514.

M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” International Journal of Surgery, vol. 88, p. 105906, Apr. 2021, doi: 10.1016/j.ijsu.2021.105906.

O. Faraji, K. Asiaei, Z. Rezaee, N. Bontis, and E. Dolatzarei, “Mapping the conceptual structure of intellectual capital research: A co-word analysis,” Journal of Innovation & Knowledge, vol. 7, no. 3, p. 100202, Jul. 2022, doi: 10.1016/j.jik.2022.100202.

N. A. M. Zin, A. Jaafar, and W. S. Yue, “Digital game-based learning (DGBL) model and development methodology for teaching history,” WSEAS transactions on computers, vol. 8, no. 2, pp. 322–333, 2009.

V. R. Lee, D. Pope, S. Miles, and R. C. Zárate, “Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT,” Computers and Education: Artificial Intelligence, vol. 7, p. 100253, Dec. 2024, doi: 10.1016/j.caeai.2024.100253.

L. I. Ruiz-Rojas, P. Acosta-Vargas, J. De-Moreta-Llovet, and M. Gonzalez-Rodriguez, “Empowering Education with Generative Artificial Intelligence Tools: Approach with an Instructional Design Matrix,” Sustainability, vol. 15, no. 15, p. 11524, Jul. 2023, doi: 10.3390/su151511524.

J. Vykopal, V. Švábenský, P. Seda, and P. Čeleda, “Preventing Cheating in Hands-on Lab Assignments,” in Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, Providence RI USA: ACM, Feb. 2022, pp. 78–84. doi: 10.1145/3478431.3499420.

S. S. Shanto, Z. Ahmed, and A. I. Jony, “PAIGE: A generative AI-based framework for promoting assignment integrity in higher education,” steme, vol. 3, no. 4, pp. 288–305, 2023, doi: 10.3934/steme.2023018.

A. Rodriguez‐Ascaso, J. G. Boticario, C. Finat, and H. Petrie, “Setting accessibility preferences about learning objects within adaptive elearning systems: User experience and organizational aspects,” Expert Systems, vol. 34, no. 4, p. e12187, Aug. 2017, doi: 10.1111/exsy.12187.

G. Avşar, C. Ozan, and E. Aydin, “The effect of reinforcement using the Gimkit game on learning the subject in nursing students,” Nurse Education in Practice, vol. 68, p. 103595, Mar. 2023, doi: 10.1016/j.nepr.2023.103595.

C. D. Riggs, S. Kang, and O. Rennie, “Positive Impact of Multiple-Choice Question Authoring and Regular Quiz Participation on Student Learning,” LSE, vol. 19, no. 2, p. ar16, Jun. 2020, doi: 10.1187/cbe.19-09-0189.

A. Manzano-León et al., “Between Level Up and Game Over: A Systematic Literature Review of Gamification in Education,” Sustainability, vol. 13, no. 4, p. 2247, Feb. 2021, doi: 10.3390/su13042247.

Published
2024-06-25
How to Cite
Acep Hendra, & Supeno, H. (2024). Teknik Pengembangan Rencana Tugas Kelas berbasis Kecerdasan Generatif sebagai Solusi Untuk Menangani Kecurangan dengan Bantuan AI. TEMATIK, 11(1), 78 - 84. https://doi.org/10.38204/tematik.v11i1.1841