Abstract
In recent years, the field of artificial intelligence (AI) has grown rapidly and has revolutionized various areas of life. One of these areas is research, where AI is used to enhance and streamline the research process. Students are among those who have benefited from the use of AI in research, as it has made the process more efficient and effective. The use of AI applications to improve essays and reports is a growing trend that needs being taken into account by professors in order to assess properly the student’s contributions. A large concern affects faculties worldwide regarding the possibility of cheating. How it will influence the educational process is another question. Changes about how assess and how to teach are needed or the trend will end somehow and somewhat? In that sense, we will explore the impact of AI on student research, and how it has changed the way students approach writing reports. Finally, we will focus on how professorship has modified the way to assess students work.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kok JN, Boers EJW, Kosters WA, Van der Putten P, Poel M. Artificial intelligence: definition, trends, techniques and cases. In: Artificial intelligence, vol 1. Encyclopedia of Life Support Systems (EOLSS). UNESCO-EOLSS
Wang P (2019) On defining artificial intelligence. J Artif Gen Intell 10(2):1–37
Chassignol M, Khoroshavin A, Klimova A, Bilyatdinova A (2018) Artificial Intelligence trends in education: a narrative overview. Procedia Comput Sci 136:16–24
Holmes W, Tuomi I (2022) State of art and practice in AI in education. Eur J Educ 57(4):542–570
Zanetti M, Pendina S, Piceci L, Cassese FP (2020) Potential risks of artificial intelligence in education. Form@re 20(1):3687
Schiff D (2021) Out of the laboratory and into the classroom: the future of artificial intelligence in education. Al Soc 36(1):331–348
Klimova B, Pikhart M, Kacatl J (2023) Ethical issues of the use of AI-driven mobile apps for education. Front Public Health 10:1118116
Humble N, Mozelius P (2022) The threat, hype and promise of artificial intelligence in education. Discov Artif Intell 2:22
Cotton DRE, Cotton PA, Shipway JR (2023) Chatting and cheating: ensuring academic integrity in the era of ChatGPT. Innov Educ Teach Int 1–12
Hart M, Friesner T (2004) Plagiarism and poor academic practice-a threat to the extension of e-learning in higher education? Electron J e-Learn 2(1):89–96
Torres-Díaz JC, Duart JM, Hinojosa-Becerra M (2018) Plagiarism, internet and academic success at the university. J New Approaches Educ Res 7(2):98–104
Egaña T (2012) Uso de bibliografía y plagio académico entre los estudiantes universitarios. Rev Univ Soc Conocimiento 9(2):18–30
Sureda J, Comas R, Urbina S (2005) The “copy and paste” generation: plagiarism amongst students, a review of existing literature. Int J Learn 12
Inclán C (2016) Ctrl-C, Ctrl-V. La práctica escolar de copiar y pegar en el bachillerato. Perfiles Educativos 38(154):6–11
Molina Salinas JA (2018) El copiar y pegar ¿nueva estrategia de aprendizaje? Apuntes Ciencias Sociales 8(2):179–186
Bretag T (2013) Challenges in addressing plagiarism in education. PloS Med 10(12):e1001574
Troboy K, Roach D, Cochran L (2005) Encouraging academic honesty in student work. J Bus Adm Online 4(2)
Cebrián Robles V, Raposo Rivas V, Sarmiento Campos JA (2020) Study of the reasons for and measures to avoid plagiarism in young students of education. Profesorado 24(1):50–74
UOC Nuestra historia. https://www.uoc.edu/portal/es/25-anys/historia/index.html
Comas-Forgas R, Lancaster T, Calvo-Sastre A, Sureda-Negre J (2021) Exam cheating and academic integrity breaches during the COVID-19 pandemic: an analysis of internet search activity in Spain. Helyon 7(10):e08233
Khalil M, Er E (2023) Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv:2302.04335
Stokel-Walker C (2022) AI bot ChatGPT writes smart essays-should professors worry? Nature. D41586-022-04397-7
Yeadon W, Inyang OO, Mizouri A, Peach A, Testrow C (2022) The death of the short-form physics essay in the coming AI revolution. arXiv preprint arxiv:2212.11661
Papakonstantinidis S. AI writing assistants in higher education: a mixed blessing? Linkedin. http://linkedin.com/pulse/
Harper R, Bretag T, Rundle K (2021) Detecting contract cheating: examining the role of assessment type. High Educ Res Dev 40(2):263–278
UOC e-Learning Innovation Center: e-Learning Kit (2023)
Surahman E, Wang T-H (2022) Academic dishonesty and trustworthy assessment in online learning: a systematic literature review. J Comput Assist Learn 38(6):1535–1553
Leung CH, Ling Cheng SC (2017) An instructional approach to practical solutions for plagiarism. Univ J Educ Res 5(9):1646–1652
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rosselló-Geli, J. (2023). Impact of AI on Student’s Research and Writing Projects. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 725. Springer, Singapore. https://doi.org/10.1007/978-981-99-3734-9_57
Download citation
DOI: https://doi.org/10.1007/978-981-99-3734-9_57
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-3733-2
Online ISBN: 978-981-99-3734-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)