Knowledge Sharing Implications of the Emergence of GPT Chat on Learning Methods at SMP 4 Muhammadiyah Depok, West Java
DOI:
https://doi.org/10.59247/jppmi.v3i3.150Keywords:
Learning methods, Chat GPT, igitization, Teacher, wiseAbstract
This presentation aims to describe the activities of the Community Partnership Program or PKM carried out at SMP 4Muhammadiyah Depok, West Java. This activity took the topic of the Contribution and implications of Chat GPT to learning methods in the digital era. This activity is carried out by socialization, discussion and practice methods. The result obtained was that Chat GPT turned out to greatly influence the learning method at SMP 4 Muhammadiyah Depok. Teachers worry about their students not using technology wisely. To overcome these problems, our team provides hands-on practice in the responsible and plagiarism-free use of GPT Chat. In addition, we also provide the practice of making power points to teachers so that the material provided to students can be more interesting in learning. GPT chat has both positive and negative impacts depending on how humans use it.
References
M. Y. Abu Sari, Y. M. Mohmad Hassim, R. Hidayat, and A. Ahmad, “Monitoring Rice Crop and Paddy Field Condition Using UAV RGB Imagery,” JOIV Int. J. Informatics Vis., vol. 5, no. 4, p. 469, Dec. 2021.
O. M. Fajar Ikhsan, R. Islam, K. Azman Khamis, and A. Sunjay, “Impact of digital economic liberalization and capitalization in the era of industrial revolution 4.0: case study in Indonesia,” Probl. Perspect. Manag., vol. 18, no. 2, pp. 290–301, Jun. 2020.
P. Q. Thuan et al., “The Determinants of the Usage of Accounting Information Systems toward Operational Efficiency in Industrial Revolution 4.0: Evidence from an Emerging Economy,” Economies, vol. 10, no. 4, p. 83, Apr. 2022.
X. H. Nguyen, X. T. Doan, and H. L. Tran, “CEO ethical leadership, corporate social responsibility and financial performance in the industrial revolution 4.0: Evidence from garment and textile industry,” Manag. Sci. Lett., vol. 9, no. Special Issue 13, pp. 2433–2442, 2019.
A. Stojanov, “Learning with ChatGPT 3.5 as a more knowledgeable other: an autoethnographic study,” Int. J. Educ. Technol. High. Educ., vol. 20, no. 1, p. 35, Jun. 2023.
T. Lancaster, “Artificial intelligence, text generation tools and ChatGPT – does digital watermarking offer a solution?,” Int. J. Educ. Integr., vol. 19, no. 1, p. 10, Jun. 2023.
V. Sorin et al., “Large language model (ChatGPT) as a support tool for breast tumor board,” npj Breast Cancer, vol. 9, no. 1, p. 44, May 2023.
Q. Lyu et al., “Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential,” Vis. Comput. Ind. Biomed. Art, vol. 6, no. 1, p. 9, May 2023.
R. Seetharaman, “Revolutionizing Medical Education: Can ChatGPT Boost Subjective Learning and Expression?,” J. Med. Syst., vol. 47, no. 1, p. 61, May 2023.
C. A. Gao et al., “Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers,” npj Digit. Med., vol. 6, no. 1, p. 75, Apr. 2023.
R. Qureshi, D. Shaughnessy, K. A. R. Gill, K. A. Robinson, T. Li, and E. Agai, “Are ChatGPT and large language models ‘the answer’ to bringing us closer to systematic review automation?,” Syst. Rev., vol. 12, no. 1, p. 72, Apr. 2023.
U. T. Sevgi, G. Erol, Y. Doğruel, O. F. Sönmez, R. S. Tubbs, and A. Güngor, “The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study,” Neurosurg. Rev., vol. 46, no. 1, p. 86, Apr. 2023.
L. Zhu, W. Mou, and R. Chen, “Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge?,” J. Transl. Med., vol. 21, no. 1, p. 269, Apr. 2023.
S. Krügel, A. Ostermaier, and M. Uhl, “ChatGPT’s inconsistent moral advice influences users’ judgment,” Sci. Rep., vol. 13, no. 1, p. 4569, Apr. 2023.
L. A. Cox, “Causal reasoning about epidemiological associations in conversational AI,” Glob. Epidemiol., vol. 5, p. 100102, Dec. 2023.
A. Lahat, E. Shachar, B. Avidan, Z. Shatz, B. S. Glicksberg, and E. Klang, “Evaluating the use of large language model in identifying top research questions in gastroenterology,” Sci. Rep., vol. 13, no. 1, p. 4164, Mar. 2023.
S.-G. Kim, “Using ChatGPT for language editing in scientific articles,” Maxillofac. Plast. Reconstr. Surg., vol. 45, no. 1, p. 13, Mar. 2023.
A. M. DiGiorgio and J. M. Ehrenfeld, “Artificial Intelligence in Medicine & ChatGPT: De-Tether the Physician,” J. Med. Syst., vol. 47, no. 1, p. 32, Mar. 2023.
M. Cascella, J. Montomoli, V. Bellini, and E. Bignami, “Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios,” J. Med. Syst., vol. 47, no. 1, p. 33, Mar. 2023.
A. Tlili et al., “What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education,” Smart Learn. Environ., vol. 10, no. 1, p. 15, Feb. 2023.
M. Salvagno, F. S. Taccone, and A. G. Gerli, “Can artificial intelligence help for scientific writing?,” Crit. Care, vol. 27, no. 1, p. 75, Feb. 2023.
J. Kocoń et al., “ChatGPT: Jack of all trades, master of none,” Inf. Fusion, vol. 99, p. 101861, Nov. 2023.
R. E. Johnstone, G. Neely, and D. C. Sizemore, “Artificial intelligence software can generate residency application personal statements that program directors find acceptable and difficult to distinguish from applicant compositions,” J. Clin. Anesth., vol. 89, p. 111185, Oct. 2023.
P. P. Ray, “Refining the application of artificial intelligence in the water domain: Exploring the potential of ChatGPT,” Sci. Total Environ., vol. 892, p. 164638, Sep. 2023.
C. Allen and S. Woodnutt, “Can ChatGPT pass a nursing exam?,” Int. J. Nurs. Stud., vol. 145, p. 104522, Sep. 2023.
H. Li et al., “Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports,” Clin. Imaging, vol. 101, pp. 137–141, Sep. 2023.
M. Gottlieb, J. A. Kline, A. J. Schneider, and W. C. Coates, “ChatGPT and conversational artificial intelligence: Friend, foe, or future of research?,” Am. J. Emerg. Med., vol. 70, pp. 81–83, Aug. 2023.
A. Suhag et al., “ChatGPT: a pioneering approach to complex prenatal differential diagnosis,” Am. J. Obstet. Gynecol. MFM, vol. 5, no. 8, p. 101029, Aug. 2023.
S. Cornago, S. Ramakrishna, and J. S. C. Low, “How can Transformers and large language models like ChatGPT help LCA practitioners?,” Resour. Conserv. Recycl., vol. 196, p. 107062, Sep. 2023.
M. J. Cuesta, “Response to Kleebayoon and Wiwanitkit’s (2023): Towards a ChatGPT psychopathology: Comment,” Eur. Neuropsychopharmacol., vol. 74, p. 76, Sep. 2023.
A. Kleebayoon and V. Wiwanitkit, “Towards a ChatGPT psychopathology: Comment,” Eur. Neuropsychopharmacol., vol. 74, p. 77, Sep. 2023.
J. Sivasubramanian, S. M. Shaik Hussain, S. Virudhunagar Muthuprakash, N. D. Periadurai, K. Mohanram, and K. M. Surapaneni, “Analysing the clinical knowledge of ChatGPT in medical microbiology in the undergraduate medical examination,” Indian J. Med. Microbiol., vol. 45, p. 100380, Sep. 2023.
E. Agathokleous, C. J. Saitanis, C. Fang, and Z. Yu, “Use of ChatGPT: What does it mean for biology and environmental science?,” Sci. Total Environ., vol. 888, p. 164154, Aug. 2023.
M. Darkhabani, M. A. Alrifaai, A. Elsalti, Y. M. Dvir, and N. Mahroum, “ChatGPT and autoimmunity – A new weapon in the battlefield of knowledge,” Autoimmun. Rev., vol. 22, no. 8, p. 103360, Aug. 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Laode Muhamad Fathun

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.