Penggunaan Teknologi Artificial Intelligence (AI) Terhadap Pendidikan Bisnis (Sytematic Literature Review Analysis)
DOI:
https://doi.org/10.56910/jispendiora.v4i2.2285Keywords:
Artificial Intelligence (AI), Business Education, Technology UseAbstract
This study aims to systematically analyze the current literature on the role of Artificial Intelligence (AI) in business education, especially in the context of entrepreneurship. Through a Systematic Literature Review (SLR) approach to scientific articles published between 2022 and 2025 from various academic databases such as Elsevier, Emerald, and Google Scholar, this study identifies and synthesizes ten key roles of AI in transforming business education. These roles include improving the ability to identify business opportunities, facilitating the development of innovative ideas, supporting strategic business planning, personalizing learning experiences, providing personalized guidance and mentoring, enabling realistic business simulations, accelerating the validation of business ideas, supporting the development of business incubators, increasing the efficiency of assignment assessments, and encouraging ethical and sustainable thinking. The results of the literature analysis show that AI offers significant potential in improving the efficiency, effectiveness, and quality of entrepreneurship learning. However, successful implementation of AI requires a comprehensive transformation of the educational paradigm, including curriculum updates, training of educators, and attention to ethical, regulatory, and cultural issues. This study provides a clear and structured overview of the contribution of AI in business education, identifies challenges and opportunities, and formulates recommendations for inclusive and sustainable AI integration.
References
Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023a). Ethical principles for artificial intelligence in K-12 education. Computers and Education: Artificial Intelligence, 4(April 2022), 100131. https://doi.org/10.1016/j.caeai.2023.100131
Adams, C., Pente, P., Lemermeyer, G., & Rockwell, G. (2023b). Ethical principles for artificial intelligence in K-12 education. In Computers and Education: Artificial Intelligence (Vol. 4). Elsevier. https://doi.org/10.1016/j.caeai.2023.100131
Agarwala, N., & Chaudhary, R. D. (2021). Artificial Intelligence and International Security. In International Political Economy Series. csdsafrica.org. https://doi.org/10.1007/978-3-030-74420-5_11
Aggarwal, K., Mijwil, M. M., Sonia, Al-Mistarehi, A. H., Alomari, S., Gök, M., Zein Alaabdin, A. M., & Abdulrhman, S. H. (2022). Has the future started? The current growth of artificial intelligence, machine learning, and deep learning. Iraqi Journal for Computer Science and Mathematics, 3(1), 115–123. https://doi.org/10.52866/ijcsm.2022.01.01.013
Agrawal, P., Nikhade, P., & Nikhade, P. P. (2022). Artificial intelligence in dentistry: Past, present, and future. Cureus. https://www.cureus.com/articles/104972-artificial-intelligence-in-dentistry-past-present-and-future.pdf
Ahmad, T., Zhu, H., Zhang, D., Tariq, R., Bassam, A., Ullah, F., AlGhamdi, A. S., & Alshamrani, S. S. (2022). Energetics systems and artificial intelligence: Applications of Industry 4.0. Energy Reports, 8, 334–361. Elsevier. https://doi.org/10.1016/j.egyr.2021.11.256
Ahmed, I., Jeon, G., & Piccialli, F. (2022). From artificial intelligence to explainable artificial intelligence in Industry 4.0: A survey on what, how, and where. IEEE Transactions on Industrial Informatics, 18(8), 5031–5042. https://doi.org/10.1109/TII.2022.3146552
Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., Al Muhanna, D., & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of Personalized Medicine, 13(6). https://doi.org/10.3390/jpm13060951
Alenizi, F. A., Abbasi, S., Hussein Mohammed, A., & Masoud Rahmani, A. (2023). The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions. Computers and Industrial Engineering, 185. https://doi.org/10.1016/j.cie.2023.109662
Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., Badreldin, H. A., Al Yami, M. S., Al Harbi, S., & Albekairy, A. M. (2023). Revolutionizing healthcare: The role of artificial intelligence in clinical practice. BMC Medical Education, 23(1). https://doi.org/10.1186/s12909-023-04698-z
Alshater, M. (2023). Exploring the role of artificial intelligence in enhancing academic performance: A case study of ChatGPT. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4312358
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: A review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7
Ansari, M. F., Dash, B., Sharma, P., & Yathiraju, N. (2022). The impact and limitations of artificial intelligence in cybersecurity: A literature review. International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 11(9). https://doi.org/10.17148/ijarcce.2022.11912
Anugerah, G. B., & Hidayanto, A. N. (2023). What factors contribute to the acceptance of artificial intelligence on healthcare sector: A systematic review. In 2023 3rd International Conference on Intelligent Cybernetics Technology and Applications (ICICyTA 2023) (pp. 477–482). https://doi.org/10.1109/ICICyTA60173.2023.10428744
Aris, S., Moosavand, M., & Nosrati, S. (2023). A digital aesthetics? Artificial intelligence and the future of the art. Journal of Cyberspace Studies, 7(2), 219–236. https://jcss.ut.ac.ir
Askin, S., Burkhalter, D., Calado, G., & El Dakrouni, S. (2023). Artificial intelligence applied to clinical trials: Opportunities and challenges. Health and Technology, 13(2), 203–213. https://doi.org/10.1007/s12553-023-00738-2
Banh, L., & Strobel, G. (2023). Generative artificial intelligence. Electronic Markets, 33(1). https://doi.org/10.1007/s12525-023-00680-1
Barrat, J. (2014). Our final invention: Artificial intelligence and the end of the human era. Choice Reviews Online, 51(11). https://doi.org/10.5860/choice.51-6133
Bickley, S. J., Chan, H. F., & Torgler, B. (2022). Artificial intelligence in the field of economics. Scientometrics, 127(4), 2055–2084. https://doi.org/10.1007/s11192-022-04294-w
Challoumis, C. (2024). Money matters – The role of artificial intelligence in modern economy. In XVI International Scientific Conference. https://www.academia.edu/download/119193188/Scan20231012180342.pdf
Charlwood, A., & Guenole, N. (2022). Can HR adapt to the paradoxes of artificial intelligence? Human Resource Management Journal, 32(4), 729–742. https://doi.org/10.1111/1748-8583.12433
Chen, M. K., Liu, X., Sun, Y., & Tsai, D. P. (2022). Artificial intelligence in meta-optics. Chemical Reviews, 122(19), 15356–15413. https://doi.org/10.1021/acs.chemrev.2c00012
Chen, T. J. (2023). ChatGPT and other artificial intelligence applications speed up scientific writing. Journal of the Chinese Medical Association, 86(4), 351–353. https://doi.org/10.1097/JCMA.0000000000000900
Chen, X., Zou, D., Xie, H., & Cheng, G. (2022). Two decades of artificial intelligence in education. Educational Technology, 25(1), 1176–3647. https://www.jstor.org/stable/48647028
Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8
Cui, M., & Zhang, D. Y. (2021). Artificial intelligence and computational pathology. Laboratory Investigation, 101(4), 412–422. https://doi.org/10.1038/s41374-020-00514-0
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734. https://doi.org/10.1007/s10796-021-10186-w
Fitria, T. N. (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069
Gašević, D., Siemens, G., & Sadiq, S. (2023). Empowering learners for the age of artificial intelligence. Computers and Education: Artificial Intelligence, 4, 100130. https://doi.org/10.1016/j.caeai.2023.100130
Ghaffar Nia, N., Kaplanoglu, E., & Nasab, A. (2023). Evaluation of artificial intelligence techniques in disease diagnosis and prediction. Discover Artificial Intelligence, 3(1). https://doi.org/10.1007/s44163-023-00049-5
Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P. (2023). Adaptive learning using artificial intelligence in e-learning: A literature review. Education Sciences, 13(12). https://doi.org/10.3390/educsci13121216
Goel, R., Garg, V., & Floris, M. (2024). Applications of artificial intelligence in business and finance 5.0. CRC Press. https://doi.org/10.1201/9781003535133
Gounder, P. S., Ponnusamy, S., Selvaraj, H., Ganesh, M., Chacko, L., Alharbi, H. F., & Rajamani, Y. S. (2023). Artificial intelligence in pharmaceutical healthcare. In Artificial Intelligence in Pharmaceutical Sciences (pp. 74–95). Elsevier. https://doi.org/10.1201/9781003343981-6
Gruetzemacher, R., & Whittlestone, J. (2022). The transformative potential of artificial intelligence. Futures, 135, 102884. https://doi.org/10.1016/j.futures.2021.102884
Haug, C. J., & Drazen, J. M. (2023). Artificial intelligence and machine learning in clinical medicine, 2023. New England Journal of Medicine, 388(13), 1201–1208. https://doi.org/10.1056/nejmra2302038
Hockly, N. (2023). Artificial intelligence in English language teaching: The good, the bad and the ugly. RELC Journal, 54(2), 445–451. https://doi.org/10.1177/00336882231168504
Holzinger, A., Keiblinger, K., Holub, P., Zatloukal, K., & Müller, H. (2023). AI for life: Trends in artificial intelligence for biotechnology. New Biotechnology, 74, 16–24. https://doi.org/10.1016/j.nbt.2023.02.001
Huang, C., Zhang, Z., Mao, B., & Yao, X. (2023). An overview of artificial intelligence ethics. IEEE Transactions on Artificial Intelligence, 4(4), 799–819. https://doi.org/10.1109/TAI.2022.3194503
Hunter, B., Hindocha, S., & Lee, R. W. (2022). The role of artificial intelligence in early cancer diagnosis. Cancers, 14(6). https://doi.org/10.3390/cancers14061524
Huynh-The, T., Pham, Q. V., Pham, X. Q., Nguyen, T. T., Han, Z., & Kim, D. S. (2023). Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581. https://doi.org/10.1016/j.engappai.2022.105581
Hwang, G. J., & Chien, S. Y. (2022). Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Computers and Education: Artificial Intelligence, 3, 100082. https://doi.org/10.1016/j.caeai.2022.100082
Jaiswal, A., Arun, C. J., & Varma, A. (2023). Rebooting employees: Upskilling for artificial intelligence in multinational corporations. In Artificial Intelligence and International HRM (pp. 114–143). Routledge. https://doi.org/10.4324/9781003377085-5
Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
Javaid, M., Haleem, A., Khan, I. H., & Suman, R. (2023). Understanding the potential applications of artificial intelligence in agriculture sector. Advanced Agrochem, 2(1), 15–30. https://doi.org/10.1016/j.aac.2022.10.001
Jiang, Y., Li, X., Luo, H., Yin, S., & Kaynak, O. (2022). Quo vadis artificial intelligence? Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00022-8
Jovanovic, M., & Campbell, M. (2022). Generative artificial intelligence: Trends and prospects. Computer, 55(10), 107–112. https://doi.org/10.1109/MC.2022.3192720
Kaack, L. H., Donti, P. L., Strubell, E., Kamiya, G., Creutzig, F., & Rolnick, D. (2022). Aligning artificial intelligence with climate change mitigation. Nature Climate Change, 12(6), 518–527. https://doi.org/10.1038/s41558-022-01377-7
Kamel, I. (2024). Artificial intelligence in medicine. Journal of Medical Artificial Intelligence, 7. https://doi.org/10.21037/jmai-24-12
Kar, A. K., Choudhary, S. K., & Singh, V. K. (2022). How can artificial intelligence impact sustainability: A systematic literature review. Journal of Cleaner Production, 376, 134120. https://doi.org/10.1016/j.jclepro.2022.134120
Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2023). Trustworthy Artificial Intelligence: A Review. ACM Computing Surveys, 55(2). https://doi.org/10.1145/3491209
Khan, B., Fatima, H., Qureshi, A., Kumar, S., Hanan, A., Hussain, J., & Abdullah, S. (2023). Drawbacks of artificial intelligence and their potential solutions in the healthcare sector. In Biomedical Materials and Devices, 1(2), 731–738. https://doi.org/10.1007/s44174-023-00063-2
Kirmani, A. R. (2023). Artificial intelligence-enabled science poetry. ACS Energy Letters, 8(1), 574–576. https://doi.org/10.1021/acsenergylett.2c02758
Krakowski, S., Luger, J., & Raisch, S. (2023). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425–1452. https://doi.org/10.1002/smj.3387
Krenn, M., Pollice, R., Guo, S. Y., Aldeghi, M., Cervera-Lierta, A., Friederich, P., dos Passos Gomes, G., Häse, F., Jinich, A., Nigam, A. K., Yao, Z., & Aspuru-Guzik, A. (2022). On scientific understanding with artificial intelligence. Nature Reviews Physics, 4(12), 761–769. https://doi.org/10.1038/s42254-022-00518-3
Kshetri, N. (2023). Generative artificial intelligence in marketing. IT Professional, 25(5), 71–75. https://doi.org/10.1109/MITP.2023.3314325
Limna, P., Jakwatanatham, S., Siripipattanakul, S., Kaewpuang, P., & Sriboonruang, P. (2022). A review of artificial intelligence (AI) in education during the digital era. In Advance Knowledge for Executives, 1(1), 1–9. https://ssrn.com/abstract=4160798
Luger, G. F. (2024). Artificial intelligence: Principles and practice. https://doi.org/10.1007/978-3-031-57437-5
Mai, G., Huang, W., Sun, J., Song, S., Mishra, D., Liu, N., Gao, S., Liu, T., Cong, G., Hu, Y., Cundy, C., Li, Z., Zhu, R., & Lao, N. (2023). On the opportunities and challenges of foundation models for geospatial artificial intelligence. arXiv. http://arxiv.org/abs/2304.06798
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring artificial intelligence in academic essay: Higher education student’s perspective. International Journal of Educational Research Open, 5, 100296. https://doi.org/10.1016/j.ijedro.2023.100296
Malinka, K., Peresíni, M., Firc, A., Hujnák, O., & Janus, F. (2023a). On the educational impact of ChatGPT: Is artificial intelligence ready to obtain a university degree? Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 1, 47–53. https://doi.org/10.1145/3587102.3588827
Malinka, K., Peresíni, M., Firc, A., Hujnák, O., & Janus, F. (2023b). On the educational impact of ChatGPT: Is artificial intelligence ready to obtain a university degree? Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 1, 47–53. https://doi.org/10.1145/3587102.3588827
Mannuru, N. R., Shahriar, S., Teel, Z. A., Wang, T., Lund, B. D., Tijani, S., Pohboon, C. O., Agbaji, D., Alhassan, J., Galley, J. K., Kousari, R., Ogbadu-Oladapo, L., Saurav, S. K., Srivastava, A., Tummuru, S. P., Uppala, S., & Vaidya, P. (2023). Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development. Information Development. https://doi.org/10.1177/02666669231200628
Marin, H. F. (2023). Artificial intelligence in healthcare and IJMI scope. International Journal of Medical Informatics, 177, 105150. https://doi.org/10.1016/j.ijmedinf.2023.105150
Messeri, L., & Crockett, M. J. (2024). Artificial intelligence and illusions of understanding in scientific research. Nature, 627(8002), 49–58. https://doi.org/10.1038/s41586-024-07146-0
Michael, O. (2024). Of artificial intelligence. The future of small business in Industry 5.0. https://books.google.com/books?hl=en&lr=&id=KR86EQAAQBAJ&oi=fnd&pg=PA215
Miguel A. Cardona, E., Rodríguez, R. J., & Ishmael, K. (2023). Artificial intelligence and the future of teaching and learning: Insights and recommendations. https://policycommons.net/artifacts/3854312/ai-report/4660267/
Mira, K., Bugiotti, F., & Morosuk, T. (2023a). Artificial intelligence and machine learning in energy conversion and management. Energies, 16(23). https://doi.org/10.3390/en16237773
Mira, K., Bugiotti, F., & Morosuk, T. (2023b). Conversion and management. (Catatan: Informasi ini tidak lengkap—sebaiknya periksa kembali judul atau sumber aslinya)
Moor, M., Banerjee, O., Abad, Z. S. H., Krumholz, H. M., Leskovec, J., Topol, E. J., & Rajpurkar, P. (2023). Foundation models for generalist medical artificial intelligence. Nature, 616(7956), 259–265. https://doi.org/10.1038/s41586-023-05881-4
Neisser, U. (2024). General, academic, and artificial intelligence. In The nature of intelligence (pp. 135–144). https://doi.org/10.4324/9781032646527-9
Novelli, C., Taddeo, M., & Floridi, L. (2024). Accountability in artificial intelligence: What it is and how it works. AI and Society, 39(4), 1871–1882. https://doi.org/10.1007/s00146-023-01635-y
Nusrat, W., Shaukat, S., & Arshad, Z. (2024). Artificial intelligence and teledermatology: An overview. Journal of Pakistan Association of Dermatologists, 34(2), 331–333. https://doi.org/10.2196/3690
Olawade, D. B., Wada, O. J., David-Olawade, A. C., Kunonga, E., Abaire, O., & Ling, J. (2023). Using artificial intelligence to improve public health: A narrative review. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1196397
Ossowska, A., Kusiak, A., & Świetlik, D. (2022). Artificial intelligence in dentistry—Narrative review. International Journal of Environmental Research and Public Health, 19(6), 3449. https://www.mdpi.com/1660-4601/19/6/3449
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. Eurasia Journal of Mathematics, Science and Technology Education, 19(8). https://doi.org/10.29333/ejmste/13428
Praful Bharadiya, J. (2023a). A comparative study of business intelligence and artificial intelligence with big data analytics. American Journal of Artificial Intelligence. https://doi.org/10.11648/j.ajai.20230701.14
Praful Bharadiya, J. (2023b). A comparative study of business intelligence and artificial intelligence with big data analytics. American Journal of Artificial Intelligence. https://doi.org/10.11648/j.ajai.20230701.14
Rachmad, Y. E. (2022). The role of artificial intelligence and human collaboration in Management 5.0: A global perspective. Retrieved from https://www.academia.edu/download/118749634/JURNAL_2022_FEB_new.pdf
Reddy, S. (2022). Explainability and artificial intelligence in medicine. The Lancet Digital Health, 4(4), e214–e215. https://doi.org/10.1016/S2589-7500(22)00029-2
Rospigliosi, P. ‘Asher.’ (2023). Artificial intelligence in teaching and learning: What questions should we ask of ChatGPT? Interactive Learning Environments, 31(1), 1–3. https://doi.org/10.1080/10494820.2023.2180191
Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Can artificial intelligence help for scientific writing? Critical Care, 27(1). https://doi.org/10.1186/s13054-023-04380-2
Samad, M. El, Nasserddine, G., & Kheir, A. (2023). Introduction to artificial intelligence. In Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction (pp. 1–15). https://doi.org/10.1201/9781003328414-1
Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., Hall, P., & Greene, K. (2022). NIST special publication 1270: Towards a standard for identifying and managing bias in artificial intelligence. https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1270.pdf
Sestino, A., & De Mauro, A. (2022a). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis and Strategic Management, 34(1), 16–29. https://doi.org/10.1080/09537325.2021.1883583
Sestino, A., & De Mauro, A. (2022b). Leveraging artificial intelligence in business: Implications, applications and methods. Technology Analysis and Strategic Management, 34(1), 16–29. https://doi.org/10.1080/09537325.2021.1883583
Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial intelligence: Definition and background. In Mission AI: The new system technology (pp. 15–41). Springer. https://doi.org/10.1007/978-3-031-21448-6_2
Silvestro, D., Goria, S., Sterner, T., & Antonelli, A. (2022). Improving biodiversity protection through artificial intelligence. Nature Sustainability, 5(5), 415–424. https://doi.org/10.1038/s41893-022-00851-6
Siti Masrichah. (2023). Ancaman dan peluang artificial intelligence (AI). Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora, 3(3), 83–101. https://doi.org/10.55606/khatulistiwa.v3i3.1860
Sohail, A. (2023). Genetic algorithms in the fields of artificial intelligence and data sciences. Annals of Data Science, 10(4), 1007–1018. https://doi.org/10.1007/s40745-021-00354-9
Sood, A., Sharma, R. K., & Bhardwaj, A. K. (2022). Artificial intelligence research in agriculture: A review. Online Information Review, 46(6), 1054–1075. https://doi.org/10.1108/OIR-10-2020-0448
Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-Brown, K., Parkes, D., Press, W., Saxenian, A., Shah, J., Tambe, M., & Teller, A. (2022). Artificial intelligence and life in 2030: The One Hundred Year Study on Artificial Intelligence. arXiv. http://arxiv.org/abs/2211.06318
Subasi, A. (2024). Artificial intelligence in drug discovery and development. In Applications of Artificial Intelligence in Healthcare and Biomedicine (pp. 417–454). https://doi.org/10.1016/B978-0-443-22308-2.00018-4
Sun, Z., Sandoval, L., Crystal-Ornelas, R., Mousavi, S. M., Wang, J., Lin, C., Cristea, N., Tong, D., Carande, W. H., Ma, X., Rao, Y., Bednar, J. A., Tan, A., Wang, J., Purushotham, S., Gill, T. E., Chastang, J., Howard, D., Holt, B., … John, A. (2022). A review of Earth artificial intelligence. Computers and Geosciences, 159. https://doi.org/10.1016/j.cageo.2022.105034
Swiecki, Z., Khosravi, H., Chen, G., Martinez-Maldonado, R., Lodge, J. M., Milligan, S., Selwyn, N., & Gašević, D. (2022). Assessment in the age of artificial intelligence. Computers and Education: Artificial Intelligence, 3, 100075. https://doi.org/10.1016/j.caeai.2022.100075
Tan, P., Chen, X., Zhang, H., Wei, Q., & Luo, K. (2023). Artificial intelligence aids in development of nanomedicines for cancer management. Seminars in Cancer Biology, 89, 61–75. https://doi.org/10.1016/j.semcancer.2023.01.005
Tveit, J., Aurlien, H., Plis, S., Calhoun, V. D., Tatum, W. O., Schomer, D. L., Arntsen, V., Cox, F., Fahoum, F., Gallentine, W. B., Gardella, E., Hahn, C. D., Husain, A. M., Kessler, S., Kural, M. A., Nascimento, F. A., Tankisi, H., Ulvin, L. B., Wennberg, R., & Beniczky, S. (2023). Automated interpretation of clinical electroencephalograms using artificial intelligence. JAMA Neurology, 80(8), 805–812. https://doi.org/10.1001/jamaneurol.2023.1645
Vinet, L., & Zhedanov, A. (2011). A “missing” family of classical orthogonal polynomials. Journal of Physics A: Mathematical and Theoretical, 44(8), 085201. https://doi.org/10.1088/1751-8113/44/8/085201
Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., Anandkumar, A., Bergen, K., Gomes, C. P., Ho, S., Kohli, P., Lasenby, J., Leskovec, J., Liu, T. Y., Manrai, A., … Zitnik, M. (2023). Scientific discovery in the age of artificial intelligence. Nature, 620(7972), 47–60. https://doi.org/10.1038/s41586-023-06221-2
Yazici, F. (2024). Mind Design III: Philosophy, Psychology, and Artificial Intelligence. Teaching Philosophy, 47(1). https://doi.org/10.5840/teachphil202447110
Yu, K.-H., Healey, E., Leong, T.-Y., Kohane, I. S., & Manrai, A. K. (2024). Medical artificial intelligence and human values. New England Journal of Medicine, 390(20), 1895–1904. https://doi.org/10.1056/nejmra2214183
Yüksel, N., Börklü, H. R., Sezer, H. K., & Canyurt, O. E. (2023). Review of artificial intelligence applications in engineering design perspective. Engineering Applications of Artificial Intelligence, 118, 105697. https://doi.org/10.1016/j.engappai.2022.105697
Zador, A., Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., DiCarlo, J., Ganguli, S., Hawkins, J., Körding, K., Koulakov, A., LeCun, Y., Lillicrap, T., Marblestone, A., Olshausen, B., … Tsao, D. (2023). Catalyzing next-generation artificial intelligence through NeuroAI. Nature Communications, 14(1), Article 180. https://doi.org/10.1038/s41467-023-37180-x
Zha, D., Bhat, Z. P., Lai, K. H., Yang, F., Jiang, Z., Zhong, S., & Hu, X. (2025). Data-centric artificial intelligence: A survey. ACM Computing Surveys, 57(5). https://doi.org/10.1145/3711118
Zhang, B., Zhu, J., & Su, H. (2023). Toward the third generation artificial intelligence. Science China Information Sciences, 66(2). https://doi.org/10.1007/s11432-021-3449-x
Zhang, L., & Zhang, L. (2022). Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities. IEEE Geoscience and Remote Sensing Magazine, 10(2), 270–294. https://doi.org/10.1109/MGRS.2022.3145854
Zhang, Z., Ning, H., Shi, F., Farha, F., Xu, Y., Xu, J., Zhang, F., & Choo, K. K. R. (2022). Artificial intelligence in cyber security: Research advances, challenges, and opportunities. Artificial Intelligence Review, 55(2), 1029–1053. https://doi.org/10.1007/s10462-021-09976-0
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 JISPENDIORA Jurnal Ilmu Sosial Pendidikan Dan Humaniora

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





