Strengthening academic integrity through AI. Plagiarism prevention strategies in the digital age

Authors

  • Edwin Gerardo Acuña Acuña Universidad Latinoamericana de Ciencia y Tecnología, San José, Costa Rica

Keywords:

Artificial Intelligence, Academic Integrity, Plagiarism Prevention, Information Sciences, Intellectual Property

Abstract

This study delves into the qualitative impact of artificial intelligence (AI) on detecting and preventing plagiarism within Information Sciences, aiming to strengthen academic integrity and protect intellectual property. Through a qualitative and bibliographic approach, the research examines real-world cases and related literature on AI technologies, focusing on the perspectives of academics and professionals in the fight against plagiarism. The findings are expected to provide a deep understanding of the dynamics and efficacy of AI in academic contexts, highlighting the challenges, opportunities, and best practices for its implementation. The study anticipates recognizing AI as a valuable, albeit complex, tool in the battle against plagiarism, contributing to a more ethical and secure academic framework. The integration of AI methods into the review and verification processes of scientific works is recommended to enhance the originality and integrity of academic knowledge.

Downloads

Download data is not yet available.

Author Biography

Edwin Gerardo Acuña Acuña, Universidad Latinoamericana de Ciencia y Tecnología, San José, Costa Rica

Nacido en San José, Costa Rica, el 16 de mayo de 1975, y actualmente residente en Montes de Oca, San José, Costa Rica, es un destacado académico y profesional con una reconocida trayectoria internacional. Es revisor internacional de prestigiosas revistas indexadas en SCOPUS, Web of Science (WoS) y Scielo, cubriendo áreas como ingeniería, educación, investigación cuantitativa y cualitativa, y matemáticas. Posee un Doctorado en Matemáticas, una Ingeniería en Sistemas, una Maestría en Finanzas e Intermediarios Financieros, una Maestría en Gerencia de Recursos Humanos y una Licenciatura en Docencia. Su distinguida carrera abarca campos como Matemáticas, Finanzas, Minería de Datos y Estadística, impartiendo cátedra en prestigiosas universidades de Costa Rica. Con más de 23 años de experiencia profesional y académica, se ha especializado en Matemáticas y Economía, destacándose en la publicación y revisión de materiales académicos para editoriales reconocidas en toda América Latina. Ha escrito nueve libros, desde "El Legado del Jade" hasta un libro sobre Minería de Datos, y más de 33 artículos internacionales en matemáticas, educación, ingeniería e investigaciones cuantitativas. Actualmente, es Analista en Mejora Continua de procesos educativos universitarios y coordina proyectos de investigación en ingeniería, además de participar activamente en Múltiples proyectos internacionales, consolidando su reputación como líder en su campo. Ha representado a Costa Rica como ponente en congresos internacionales en Japón, Portugal, Chile, México, entre otros, y tiene amplia experiencia en el uso de tecnologías educativas.

References

Abbate, R., Caterino, M., Fera, M., & Caputo, F. (2022). Maintenance Digital Twin using vibration data. Procedia Computer Science, 200, 546-555. https://doi.org/10.1016/j.procs.2022.01.252

Acuña Acuña, EG (2023). Aplicación de Minería de Datos e Internet de las Cosas (IoT) para productos Biomédicos. Revisión Tecno. Revista Internacional de Tecnología, Ciencia y Sociedad /Revista Internacional de Tecnología, Ciencia y Sociedad, 13 (1), 145–169. https://doi.org/10.37467/revtechno.v12.3444

Almutairi, M., Alharbi, T. A. F., & Timmins, F. (2023). Perceptions of nursing students and faculty members towards academic integrity and professionalism in Saudi Arabia: A cross-sectional study. Nurse Education Today, 130, 105942. https://doi.org/10.1016/j.nedt.2023.105942

Baker-Gardner, R., & Eaton, S. E. (2024). Academic Integrity. In Reference Module in Social Sciences. Elsevier. https://doi.org/10.1016/B978-0-323-95689-5.00075-4

Bin-Nashwan, S. A., Sadallah, M., & Bouteraa, M. (2023). Use of ChatGPT in academia: Academic integrity hangs in the balance. Technology in Society, 75, 102370. https://doi.org/10.1016/j.techsoc.2023.102370

Çelik, Ö. (2023). Developing a multipronged academic integrity policy writing tool for secondary schools. International Journal of Educational Development, 100, 102807. https://doi.org/10.1016/j.ijedudev.2023.102807

De Souza Pinheiro, Gisele, Pontin Darsie, Marta María y Beirigo Lopes, Thiago. (2024). Peirce, Saussure y Duval: un posible diálogo epistemológico entre teorías. Areté, Revista Digital del Doctorado en Educación, 10 (19), 35-51. https://doi.org/10.55560/arete.2024.19.10.2

Du, P., Wang, F.-F., & Wang, J. (2023). On a simplified multi-layered plate model of growth: Asymptotic analyses and numerical implementation. Thin-Walled Structures, 191, 111100. https://doi.org/10.1016/j.tws.2023.111100.

Eminoğlu, A., & Çelikkanat, Ş. (2024). Assessment of the relationship between executive nurses’ leadership self-efficacy and medical artificial intelligence readiness. International Journal of Medical Informatics, 184, 105386. https://doi.org/10.1016/j.ijmedinf.2024.105386

Fadli, S., & Rawal, B. S. (2023). Quantum bionic advantage on near-term cloud ecosystem. Optik, 272, 170295. https://doi.org/10.1016/j.ijleo.2022.170295.

Fang, J., Zheng, Q., Cai, C., Chen, H., & Zhang, H. (2023). Deep reinforcement learning method for turbofan engine acceleration optimization problem within full flight envelope. Aerospace Science and Technology, 136, 108228. https://doi.org/10.1016/j.ast.2023.108228

Garcia Romero, M. M., & Saavedra Acevedo, G. S. (2024). Programa “descubro y autorregulo mis conocimientos” para mejorar las competencias digitales. Areté, Revista Digital del Doctorado en Educación, 10(19), 183–202. https://doi.org/10.55560/arete.2024.19.10.10

Geda, M. W., Tang, Y. M., & Lee, C. K. M. (2024). Applications of artificial intelligence in Orthopaedic surgery: A systematic review and meta-analysis. Engineering Applications of Artificial Intelligence, 133(Part D), 108326. https://doi.org/10.1016/j.engappai.2024.108326

Gupta, R., Roy, S., Das, T., & Sen (De), A. (2024). Quantum illumination with noisy probes: Conditional advantages of non-Gaussianity. Physics Letters A. https://doi.org/10.1016/j.physleta.2024.129446.

Haldorai, A. (2023). A review on artificial intelligence in internet of things and cyber physical systems. Journal of Computer and Natural Sciences, 3(1), 12–23. https://doi.org/10.53759/181X/JCNS202303002.

Jared, B., Hanna, K., & Piras, S. (2023). Academic integrity in nursing: What nurse leaders and faculty need to know now. Journal of Professional Nursing, 48, 107-111. https://doi.org/10.1016/j.profnurs.2023.07.002

Lee, C.-C., & Yan, J. (2024). Will artificial intelligence make energy cleaner? Evidence of nonlinearity. Applied Energy, 363, 123081. https://doi.org/10.1016/j.apenergy.2024.123081

Lee, Y., Shin, T., Tessier, L., Javidan, A., Jung, J., Hong, D., Strong, A. T., McKechnie, T., Malone, S., Jin, D., Kroh, M., & Dang, J. T. (2024). Harnessing Artificial Intelligence in Bariatric Surgery: Comparative Analysis of ChatGPT-4, Bing, and Bard in Generating Clinician-Level Bariatric Surgery Recommendations. Surgery for Obesity and Related Diseases. https://doi.org/10.1016/j.soard.2024.03.011

Liyanage, M., Braeken, A., Shahabuddin, S., & Ranaweera, P. (2023). Open RAN security: Challenges and opportunities. Journal of Network and Computer Applications, 214, 103621. https://doi.org/10.1016/j.jnca.2023.103621

Lu, Y., Sigov, A., Ratkin, L., Ivanov, L. A., & Zuo, M. (2023). Quantum computing and industrial information integration: A review. Journal of Industrial Information Integration, 35, 100511. https://doi.org/10.1016/j.jii.2023.100511.

Ma, C., Xue, D., Li, S., Zhou, Z., Zhu, Y., & Guo, X. (2022). Compliance minimisation of smoothly varying multiscale structures using asymptotic analysis and machine learning. Computer Methods in Applied Mechanics and Engineering, 395, 114861. https://doi.org/10.1016/j.cma.2022.114861.

Ma, L., & Huang, R. (2024). Asymptotic stability and fold bifurcation analysis in Caputo–Hadamard type fractional differential system. Chinese Journal of Physics, 88, 171-197. https://doi.org/10.1016/j.cjph.2024.01.028.

Ossai, M. C., Ethe, N., Edougha, D. E., & Okeh, O. D. (2023). Academic integrity during examinations, age and gender as predictors of academic performance among high school students. International Journal of Educational Development, 100, 102811. https://doi.org/10.1016/j.ijedudev.2023.102811

Pinheiro, G. de S., Darsie, M. M. P., & Lopes, T. B. (2024). Peirce, Saussure y Duval: Un posible diálogo epistemológico entre teorías. Areté, Revista Digital del Doctorado en Educación, 10(19), 35–51. https://doi.org/10.55560/arete.2024.19.10.2

Qin, M., Hu, W., Qi, X., & Chang, T. (2024). Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy. Energy Economics, 131, 107403. https://doi.org/10.1016/j.eneco.2024.107403

Ríos Cabrera, P., Ruiz Bolívar, C., Paulos Gomes, T., & León Beretta, R. M. (2023). Desarrollo de una escala para medir competencias investigativas en docentes y estudiantes universitarios. Areté, Revista Digital del Doctorado en Educación, 9(17), 147–169. https://doi.org/10.55560/arete.2023.17.9.7

Schramm, S., Wehner, C., & Schmid, U. (2023). Comprehensible Artificial Intelligence on Knowledge Graphs: A survey. Journal of Web Semantics, 79, 100806. https://doi.org/10.1016/j.websem.2023.100806

Soret, Z., & Guillen, A. (2024). Modelos y estrategias de enseñanza para plataformas e-learning en cursos basados de educación por competencias. Areté, Revista Digital del Doctorado del Educación, 10(19), 87–102. https://doi.org/10.55560/arete.2024.19.10.5

Schramm, S., Wehner, C., & Schmid, U. (2023). Comprehensible Artificial Intelligence on Knowledge Graphs: A survey. Journal of Web Semantics, 79, 100806. https://doi.org/10.1016/j.websem.2023.100806

Wu, X., & Lai, I. K. W. (2022). The use of 360-degree virtual tours to promote mountain walking tourism: Stimulus–organism–response model. Information Technology and Tourism, 24(1), 85-107. https://doi.org/10.1007/s40558-021-00218-1

Xi, N., Chen, J., Gama, F., Riar, M., & Hamari, J. (2023). The challenges of entering the metaverse: An experiment on the effect of extended reality on workload. Information Systems Frontiers, 25(2), 659-680. https://doi.org/10.1007/s10796-022-10244-x

Zhang, L., Anjum, M. A., & Wang, Y. (2023). The impact of trust-building mechanisms on purchase intention towards metaverse shopping: The moderating role of age. International Journal of Human–Computer Interaction, 1-19. https://doi.org/10.1080/10447318.2023.2184594

Zhang, L.-L., & Wang, X. (2023). Soliton solution and asymptotic analysis of the three-component Hirota–Satsuma coupled KdV equation. Physica A: Statistical Mechanics and its Applications, 612, 128481. https://doi.org/10.1016/j.physa.2023.128481.

Downloads

Published

2024-10-18

How to Cite

Acuña Acuña, E. G. . (2024). Strengthening academic integrity through AI. Plagiarism prevention strategies in the digital age. Areté, Doctorate in Education Digital Journal, 10(ee), 49–67. Retrieved from http://caelum.ucv.ve/ojs/index.php/rev_arete/article/view/29452

Issue

Vol. 10 No. ee (2024): Special Edition "Education and Artificial Intelligence: Threats, Challenges and Opportunities"

Section

Artículos de Investigación

License

Copyright (c) 2024 Edwin Gerardo Acuña Acuña

Creative Commons License

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

This journal provides free, immediate access to its content under the principle of making research freely available to the public, which fosters a greater exchange of global knowledge.

Authors who publish in Areté, Revista Digital del Doctorado en Educación, agree to the following terms:

  1. Authors retain copyright and grant the journal the right to be the first publication of the work, as well as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of authorship of the work and initial publication in this journal.
  2. Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book), with an acknowledgement of its initial publication in this journal and not to be used for commercial purposes.
  3. The contents and images included in the articles are the responsibility of the author(s). Areté, Revista Digital del Doctorado en Educación, is not responsible for the information included in them.
  4. Authors agree with the license of use used by the journal, with the self-archiving conditions and with the open access policy.
  5. Authors are allowed to disseminate electronically (e.g., in institutional repositories or on their own website) the published version of their work, as it favors its earlier circulation and dissemination and thus a possible increase in its citation and reach among the academic community.
  6. In case of reuse of published works, the existence and specifications of the license of use must be mentioned, as well as the authorship and original source of publication.