Generative artificial intelligence: A disruptive context for access to information
DOI:
https://doi.org/10.3145/infonomy.24.013Keywords:
Generative artificial intelligence, ChatGPT, Institutional policies, Academic integrity, Plagiarism, Regulation of use, Teaching, Research, Scientific evidence, InfoxicationAbstract
The last year has seen an explosion of artificial intelligence tools that enable the gen-eration of all kinds of content, which has had a profound impact at all levels and par-ticularly in the field of education. These tools pose an unprecedented disruptive con-text in relation to access to information derived from their interactive, contextual and generative nature, whose implications probably go much further than other previous innovations and which require a reaction in the academic field, which must be based on clear policies and guidelines aligned with the principles of academic integrity and existing scientific evidence.References
Adiguzel, T.; Kaya, M. H.; Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15, ep429. https://doi.org/10.30935/cedtech/13152
Alqahtani, T.; Badreldin, H. A; Alrashed, M.; Alshaya, A. I.; Alghamdi, S. S.; Saleh, K. B.; Alowais, S. A.; Alshaya O. A.; Rahman, I.; Al Yami, M. S.; Albekairy, A. M. (2023). The emergent role of artificial intelligence, natural learning processing, and large language models in higher education and research. Research in Social and Administrative Pharmacy, 19, 1236–1242. https://doi.org/10.1016/j.sapharm.2023.05.016
Aviv-Reuven, S.; Rosenfeld, A. (2021). Publication patterns’ changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis. Scientometrics, 126, 6761-6784. https://doi.org/10.1007/s11192-021-04059-x
Bahroun, Z.; Anane, C.; Ahmed, V.; Zacca, A. (2023). Transforming education: A comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability (Switzerland), 15, 12983. https://doi.org/10.3390/su151712983
Birenbaum, M. (2023). The Chatbots’ challenge to education: Disruption or destruction? Education Sciences, 13, 711. https://doi.org/10.3390/educsci13070711
Center for AI Safety (2023). Statement on AI risk. https://www.safe.ai/statement-on-ai-risk
Coccia, M. (2021). Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research. Scientometrics, 126, 9405-9429. https://doi.org/10.1007/s11192-021-04172-x
Cotton, Debby R. E.; Cotton, P. A.; Shipway, J. R. (2023). "Chatting and cheating: Ensuring academic integrity in the era of ChatGPT". Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2023.2190148
Dempere, J.; Modugu, K.; Hesham, A.; Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8, 1206936. https://doi.org/10.3389/feduc.2023.1206936
Di Girolamo, N.; Meursinge Reynders, R. (2020). Characteristics of scientific articles on COVID-19 published during the initial 3 months of the pandemic. Scientometrics, 125, 795–812. https://doi.org/10.1007/s11192-020-03632-0
Duan, D.; Xia, Qifan (2021). Evolution of scientific collaboration on Covid-19: A bibliometric analysis. Learned Publishing, 34, 429-441. https://doi.org/10.1002/leap.1382
Farrelly, T.; Baker, N. (2023). Generative artificial intelligence: Implications and considerations for higher education practice. Education Sciences, 13, 1109. https://doi.org/10.3390/educsci13111109
Gates, B. (2023). The age of AI has begun. GatesNotes: The blog of Bill Gates. https://www.gatesnotes.com/The-Age-of-AI-Has-Begun?WT.mc_id=20230321100000_Artificial-Intelligence_BG-EM_&WT.tsrc=BGEM
Gentile, M.; Città, G.; Perna, S.; Allegra, M. (2023). Do we still need teachers? Navigating the paradigm shift of the teacher's role in the AI era. Frontiers in Education, 8, 1161777. https://doi.org/10.3389/feduc.2023.1161777
Graners, E. (2023). Chat GPT en la educación: ¿hacia dónde vamos? Revista DIM: Didáctica, Innovación y Multimedia, 41.
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13, 692. https://doi.org/10.3390/educsci13070692
Hillier, M. (2023). Proposed AI literacy framework. https://teche.mq.edu.au/2023/03/a-proposed-ai-literacy-framework
Imran, M.; Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15, ep464. https://doi.org/10.30935/cedtech/13605
Jakab, M.; Kittl, E.; Kiesslich, T. (2024). How many authors are (too) many? A retrospective, descriptive analysis of authorship in biomedical publications. Scientometrics. https://doi.org/10.1007/s11192-024-04928-1
Karakose, T. (2023). The utility of ChatGPT in educational research-potential opportunities and pitfalls. Educational Process: International Journal, 12, 7–13.
https://doi.org/10.22521/edupij.2023.122.1
Kim, T. W. (2023). Application of artificial intelligence chatbot, including ChatGPT in education, scholarly work, programming, and content generation and its prospects: a narrative review. Journal of Educational Evaluation for Health Professions, 20, 38. https://doi.org/10.3352/jeehp.2023.20.38
Lo, C. K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13, 410. https://doi.org/10.3390/educsci13040410
Marche, S. (2022, December 7). The college essay is dead. Nobody is prepared for how AI will transform academia. The Atlantic.
Mhlanga, D. (2023). Digital transformation education, opportunities, and challenges of the application of ChatGPT to emerging economies. Education Research International, 7605075. https://doi.org/10.1155/2023/7605075
Montenegro-Rueda, M.; Fernández-Cerero, J.; Fernández-Batanero, J. M.; López-Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12, 153. https://doi.org/10.3390/computers12080153
Moorhouse, B. L.; Yeo, M. A.; Wan, Y. (2023). Generative AI tools and assessment: Guidelines of the world’s top-ranking universities. Computers and Education Open, 5, 100151. https://doi.org/10.1016/j.caeo.2023.100151
Pradana, M.; Elisa, H. P.; Syarifuddin, S. (2023). Discussing ChatGPT in education: A literature review and bibliometric analysis. Cogent Education, 10, 2243134. https://doi.org/10.1080/2331186X.2023.2243134
Rudolph, J.; Tan, S.; Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching, 6, 364-389. https://doi.org/10.37074/jalt.2023.6.1.23
Wang, M.; Guo, W. (2023). The potential impact of ChatGPT on education: Using history as a rearview mirror. ECNU Review of Education. https://doi.org/10.1177/20965311231189826
Wu, R.; Yu, Z. (2024). Do AI chatbots improve students learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55, 10-33. https://doi.org/10.1111/bjet.13334
Yan, L.; Sha, L.; Zhao, L; Li, Y.; Martínez-Maldonado, R.; Chen, G.; Li, X.; Jin, Y.; Gašević, D. (2024). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology, 55, 90-112. https://doi.org/10.1111/bjet.13370
Yu, H.; Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in Education, 8, 1183162.
https://doi.org/10.3389/feduc.2023.1183162
Zhang, L; Rousseau, R.; Glänzel, W. (2011). Document-type country profiles. Journal of the American Society for Information Science and Technology, 62, 1403-1411. https://doi.org/10.1002/asi.21537
Downloads
Published
How to Cite
Downloads
Dimensions
Issue
Section
License
Copyright (c) 2024 Gregorio González-Alcaide
This work is licensed under a Creative Commons Attribution 4.0 International License.