WITH THE ADVENT OF CHATGPT: HOW TO IDENTIFY STRENGTHS, WEAKNESSES, OPPORTUNITIES, AND THREATS FOR THE FIELD OF EDUCATION AND THE BUSINESS WORLD OF VARIOUS DISCIPLINES
Keywords:
ChatGPT, artificial , intelligence, education, businessAbstract
Advances in the field of artificial intelligence, particularly with the emergence of generative language models such as ChatGPT, have opened up new opportunities and challenges in a variety of disciplines. This research aims to identify the strengths, weaknesses, opportunities and threats (SWOT) of using ChatGPT in the context of education and the business world from various disciplines. The aim of this research is to explore the impact of using ChatGPT in education and the business world, detailing the advantages and disadvantages of this technology, and designing strategies to exploit its positive potential. This research uses a descriptive qualitative approach to analyze literature, case studies, and subject responses regarding the use of ChatGPT. Data collection involved an in-depth literature review and content analysis of various relevant sources. The research results identified that ChatGPT's strength lies in its ability to provide fast responses, increase operational efficiency, and support decision-making processes. However, drawbacks include inaccurate information, lack of understanding of context, and potential privacy risks. Opportunities are seen in improved customer service, personalized learning, and product innovation. Meanwhile, threats involve the risks of over-dependence, data privacy, and potential misuse of the technology.
Downloads
References
Aithal, S., & Aithal, P. S. (2023). Effects of AI-Based ChatGPT on Higher Education Libraries. International Journal of Management, Technology, and Social Sciences, 1, 95–108. https://doi.org/10.47992/ijmts.2581.6012.0272
AlAfnan, M. A., Samira Dishari, Marina Jovic, & Koba Lomidze. (2023). ChatGPT as an Educational Tool: Opportunities, Challenges, and Recommendations for Communication, Business Writing, and Composition Courses. Journal of Artificial Intelligence and Technology, 60–68. https://doi.org/10.37965/jait.2023.0184
Balaei, S., & Mohammadi, N. (2023). International Journal of Research in Industrial Engineering Paper Type : Research Paper Designing a Hybrid Model for the Green Supply Chain in Guilan Steel Industry 1 | Introduction. 12(1), 73–87.
Chaudhry, I. S., Sarwary, S. A. M., El Refae, G. A., & Chabchoub, H. (2023). Time to Revisit Existing Student’s Performance Evaluation Approach in Higher Education Sector in a New Era of ChatGPT — A Case Study. Cogent Education, 10(1). https://doi.org/10.1080/2331186X.2023.2210461
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71(March). https://doi.org/10.1016/j.ijinfomgt.2023.102642
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 00(00), 1–15. https://doi.org/10.1080/14703297.2023.2195846
Gödde, D., Nöhl, S., Wolf, C., Rupert, Y., Rimkus, L., Ehlers, J., Breuckmann, F., & Sellmann, T. (2023). A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review. Journal of Medical Internet Research, 25, e49368. https://doi.org/10.2196/49368
Huang, J., & Shumin Li. (2023). Opportunities and Challenges in the Application of Chatgpt in Foreign Language Teaching. International Journal of Education and Social Science Research, 06(04), 75–89. https://doi.org/10.37500/ijessr.2023.6406
Javaid, M., Haleem, A., Singh, R. P., Khan, S., & Khan, I. H. (2023). Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(2), 100115. https://doi.org/10.1016/j.tbench.2023.100115
Meron, Y., & Tekmen Araci, Y. (2023). Artificial intelligence in design education: evaluating ChatGPT as a virtual colleague for post-graduate course development. Design Science, 9, 1–24. https://doi.org/10.1017/dsj.2023.28
Mhlanga, D. D. (2022). ChatGPT in Education: Exploring Opportunities for Emerging Economies to Improve Education with ChatGPT. Journal International, 2(5).
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9). https://doi.org/10.3390/educsci13090856
Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G. M., Grundy, S., Lyden, S., Neal, P., & Sandison, C. (2023). ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity. European Journal of Engineering Education, 48(4), 559–614. https://doi.org/10.1080/03043797.2023.2213169
Raj, R., Singh, A., Kumar, V., & Verma, P. (2023). Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(3), 100140. https://doi.org/10.1016/j.tbench.2023.100140
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3(April), 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
Rudolph Jürgen, Tan Samson, Tan, S. (2023). Journal of Applied Learning & Teaching ChatGPT : Bullshit spewer or the end of traditional assessments in higher education ? Journal of Applied Learning & Teaching, 6(1), 242–263.
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Sugiyono. (2018). Metode Penelitian Kuantitatif. Alfabeta.
Uoc, T. M. (2023). Investigation of Obesity Awareness and Physical Activity Levels of Primary School Students (Van City Example). Journal for Educators, Teachers and Trainers, 14(2), 147–154. https://doi.org/10.47750/jett.2023.14.02.014
Z Aripin, V Paramarta, Kosasih. (2023) . Utilizing Internet of Things (IOT)-based Design for Consumer Loyalty: A Digital System Integration. Jurnal Penelitian Pendidikan IPA 9 (10), 8650-8655, 2023.
ZAENAL ARIPIN, KOSASIH, VIP PARAMARTA (2023). ANALYSIS OF MOTIVATION AND PERCEPTION OF BECOMING A BANK CUSTOMER BETWEEN PARENTS (MOTHERS AND FATHERS) AND THEIR TEENAGE CHILDREN. VOL. 1 NO. 1 (2023): KISA INSTITUTE - DECEMBER.
ZAENAL ARIPIN, KOSASIH, VIP PARAMARTA (2023). THE INFLUENCE OF INTERNAL ENVIRONMENTAL UNCERTAINTY ON LOYALTY IN BANKING. VOL. 1 NO. 1 (2023): JESOCIN - DECEMBER.
ZAENAL ARIPIN, KOSASIH, VIP PARAMARTA (2023). A THE INFLUENCE OF CUSTOMER EXPECTATIONS ON BANK SERVICE PERFORMANCE AND BANK CUSTOMER SATISFACTION AND ITS EFFECT ON CUSTOMER TRUST. VOL. 1 NO. 1 (2023): JESOCIN - DECEMBER.
ZAENAL ARIPIN, VIP PARAMARTA, KOSASIH (2023). Post Covid-19 Pandemic New Marketing Theories and Practices Emerging from Innovations in the Tourism Sector. VOL. 1 NO. 1 (2023): JESOCIN - DECEMBER.
Zaenal Aripin, kosasih, vip Paramarta (2023). THE INFLUENCE OF CUSTOMER EXPECTATIONS ON BANK SERVICE PERFORMANCE AND BANK CUSTOMER SATISFACTION AND ITS EFFECT ON CUSTOMER TRUST. VOL. 1 NO. 1 (2023): KRIEZACADEMY - DECEMBER.
Zaenal Aripin, Farida Yulianty, Fitriana (2023). A QUANTITATIVE PERFORMANCE MANAGEMENT FRAMEWORK TO IMPROVE COMMUNITY ECONOMY THROUGH OMNICHANNEL SUPPLY CHAIN: A CASE STUDY IN THE BANKING AND MARKETING INDUSTRY. VOL. 1 NO. 1 (2023): KRIEZACADEMY - DECEMBER
Zaenal Aripin, Eko Aristanto, Ngurah Made Novianha Pynatih(2023). WILL DOING A LOT OF PROMOTIONS HELP INCREASE IMAGE AND CONSUMER APPEAL? VOL. 1 NO. 1 (2023): KISAINSTITUTE - DECEMBER
Zaenal Aripin, Ricky Agusiady, Didin Saepudin (2023). POST COVID: WHAT LESSONS CAN BE LEARNED FOR THE BANKING AND MSME INDUSTRY, VOL. 1 NO. 1 (2023): KISAINSTITUTE - DECEMBER
Zaenal Aripin, Bambang Susanto, Nurhaeni Sikki (2023). ANALYSIS OF THE IMPACT OF CUSTOMER EXPERIENCE ON REPURCHASE ATTITUDES AND INTENT IN ONLINE GROCERY RETAIL: MODERATING FACTORS OF SHARED VALUE CREATION, VOL. 1 NO. 1 (2023): KISAINSTITUTE - DECEMBER.
Zaenal Aripin, Faisal Matriadi, Sri Ermeila (2023). INNOVATION WITH SMALL INDUSTRY PLAYERS TO CREATE SHARED VALUE IN THE EXPERIENCE OF THE COVID-19 PERIOD IN INDONESIA, VOL. 1 NO. 1 (2023): KISAINSTITUTE - DECEMBER.
Zaenal Aripin, Sri Rochani Mulyani, Adang Haryaman (2023). MARKETING STRATEGY IN PROJECT SUSTAINABILITY MANAGEMENT EFFORTS IN EXTRACTIVE INDUSTRIES: BUILDING A RECIPROCITY FRAMEWORK FOR COMMUNITY ENGAGEMENT, VOL. 1 NO. 1 (2023): KRIEZ ACADEMY - DECEMBER
Zhu, C., Sun, M., Luo, J., Li, T., & Wang, M. (2023). How to harness the potential of ChatGPT in education? Knowledge Management and E-Learning, 15(2), 133–152. https://doi.org/10.34105/j.kmel.2023.15.008
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Zaenal Aripin, Ucu Supriatna, M. Syafarudin Mahaputra (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
