Published
2024-12-30
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Research Articles
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How to Cite
Academic integrity surrounding the use of generative AI in higher education: Lenses from ICT college students
Lanie P. Plecerda
School of Teacher Education, Biliran Province State University, Biliran, 6566, Philippines
DOI: https://doi.org/10.59429/esp.v9i12.3177
Keywords: academic integrity, artificial intelligence, ICT learners, technology earners, higher education
Abstract
The emergence of Generative AI (GenAI) in education marks a transformative shift in teaching, learning, and assessment practices. GenAI technologies have evolved from being simple conversational agents to highly advanced systems capable of generating human-like text, solving complex problems, assisting in creative writing, tutoring, and even providing personalized feedback to students. This paper explored the use of GenAI in education with emphasis on its implications towards academic integrity. Information and Communications Technology (ICT) college students (n=30) were purposively sampled to be interviewed regarding their experiences and perceptions about the use of GenAI in their program. Thematic analysis was carried out to identify emerging themes and assess the implications of GenAI use in education, particularly ICT learning processes. Students believed that GenAI offers significant benefits, such as personalized learning, assistance in creative writing, tutoring, coding, and grading, which enhance students’ learning experiences by providing instant feedback and helping them understand difficult concepts. Concerns about over-reliance on AI, plagiarism, and academic dishonesty have emerged, as some students use AI tools to bypass intellectual effort, raising questions about the authenticity of their work. ICT students expressed concerns about GenAI fostering cheating and undermining academic independence. Despite these issues, students remain optimistic about GenAI’s role in education, advocating for clear guidelines on its appropriate use to balance its benefits with the need for academic integrity. The integration of GenAI in educational settings necessitates careful management to ensure that it supports, rather than diminishes, the learning process.
References
[1]. Yusuf, A., Pervin, N., & Román-González, M. (2024). Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives. International Journal of Educational Technology in Higher Education, 21(1), 21.
[2]. Holden, O. L., Norris, M. E., & Kuhlmeier, V. A. (2021, July). Academic integrity in online assessment: A research review. In Frontiers in Education, 6, 639814.
[3]. Mundo M. A. D., Reyes E. F. D., Gervacio E. M. (2024). Discourse analysis on experience-based position of science, mathematics, and Tech-Voc educators on generative AI and academic integrity. Environment and Social Psychology, 9(8), 3028.
[4]. Yeralan, S., & Lee, L. A. (2023). Generative AI: Challenges to higher education. Sustainable Engineering and Innovation, 5(2), 107-116.
[5]. Inoferio, H. V., Espartero, M., Asiri, M., Damin, M., & Chavez, J. V. (2024). Coping with math anxiety and lack of confidence through AI-assisted Learning. Environment and Social Psychology, 9(5).
[6]. Gleason, N. (2022). ChatGPT and the rise of AI writers: How should higher education respond. Times Higher Education.
[7]. Moya, Beatriz & Eaton, Sarah & Pethrick, Helen & Hayden, K. & Brennan, Robert & Wiens, Jason & Mcdermott, Brenda & Lesage, Jonathan. (2023). Academic integrity and artificial intelligence in higher education contexts: A rapid scoping review protocol. 5. 59-75.
[8]. Pascual, J. (2023) PH schools adopting AI; UP among first in Asia: group. Retrieved from https://news.abs-cbn.com/business/11/16/23/ph-schools-adopting-ai-up-among-first-in-asia-group
[9]. Bergström, J., Repo, V., & Tuunainen, V. (2024). Challenges to academic integrity from new tools-A survey of students' perceptions and behaviors of employing ChatGPT.
[10]. Dawson, P. (2020). E-Cheating, assessment security and artificial intelligence. Defending assessment security in a digital world, 1, 83-97.
[11]. Benke, E., & Szőke, A. (2024). Academic integrity in the time of artificial intelligence: Exploring student attitudes. Italian Journal of Sociology of Education, 16(Italian Journal of Sociology of Education 16/2), 91-108.
[12]. Cebral-Loureda, M., Rincón-Flores, E. G., & Sanchez-Ante, G. (Eds.). (2023). What AI Can Do: Strengths and Limitations of Artificial Intelligence. CRC Press.
[13]. Estrellado, C. J. P. & Miranda, J. C. (2023). Artificial Intelligence in the Philippine Education Context: Circumspection and Future Inquiries. International Journal of Scientific and Research Publications, 13, 5(2023). 13704.
[14]. Bancoro, J. C. M. (2024). The Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students. International Journal of Asian Business and Management, 3(1), 27-48.
[15]. Rane, N. L., Choudhary, S. P., Tawde, A., & Rane, J. (2023). ChatGPT is not capable of serving as an author: ethical concerns and challenges of large Language models in education. International Research Journal of Modernization in Engineering Technology and Science, 5(10), 851-874
[16]. Oravec, J. A. (2023). Artificial intelligence implications for academic cheating: Expanding the dimensions of responsible human-AI collaboration with ChatGPT. Journal of Interactive Learning Research, 34(2), 213-237.
[17]. Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in education and teaching international, 61(2), 228-239.
[18]. Dehouche, N. (2021). Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3). Ethics in Science and Environmental Politics, 21, 17-23.
[19]. Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076.
[20]. Civil, B. (2023, March 16). ChatGPT can hinder students’ critical thinking skills: Artificial intelligence is changing how students learn to write. The Queen’s Journal. https://www.queensjournal.ca/story/2023-03-16/opinions/chatgpt-can-hinder-students-critical-thinking-skills/
[21]. Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023). The affordances and contradictions of AI-generated text for writers of english as a second or foreign language. Journal of Second Language Writing, 62.
[22]. Skavronskaya, L., Hadinejad, A., & Cotterell, D. (2023). Reversing the threat of artificial intelligence to opportunity: a discussion of ChatGPT in tourism education. Journal of Teaching in Travel & Tourism, 23(2), 253-258.
[23]. Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary educational technology, 15(2).
[24]. Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 2236469.
[25]. Kumar, A. H. S. (2023). Analysis of ChatGPT tool to assess the potential of its utility for academic writing in biomedical domain. BEMS Reports, 9(1), 24–30.
[26]. Prothero A. (2024) New Data Reveal How Many Students Are Using AI to Cheat. Retrieved from https://www.edweek.org/technology/new-data-reveal-how-many-students-are-using-ai-to-cheat/2024/04
[27]. Selwyn, N. (2024). On the limits of artificial intelligence (AI) in education. Nordisk tidsskrift for pedagogikk og kritikk, 10(1), 3-14.
[28]. Chan, C. K. Y., & Lee, K. K. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?. Smart learning environments, 10(1), 60.
[29]. Korn, J. & Kelly, S. (2023, January 5). New York City public schools ban access to AI tool that could help students cheat. CNN. https://edition.cnn.com/2023/01/05/tech/chatgpt-nyc-school-ban/index.html
[30]. Oliver, J. (2023). John Oliver on new AI programs: ‘The potential and the peril here are huge’. The Guardian. https://www.theguardian.com/tv-and-radio/2023/feb/27/john-oliver-new-ai-programs-potential-peril
[31]. Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418.
[32]. Bell, S. (2023). The write algorithm: promoting responsible artificial intelligence usage and accountability in academic writing. BMC medicine, 21(1), 334.
[33]. Merod A. (2024) As teacher use of AI detection grows, discipline guidance a mixed bag. Retrieved from https://www.k12dive.com/news/ai-detection-tools-student-discipline/711835/
[34]. Gallent Torres, C., Zapata-González, A., & Ortego-Hernando, J. L. (2023). The impact of Generative Artificial Intelligence in higher education: a focus on ethics and academic integrity. RELIEVE. Revista ELectrónica de Investigación y EValuación Educativa, 29(2), 1-19.
[35]. Terwiesch, C. (2023). Would Chat GPT3 get a Wharton MBA? A prediction based on its performance in the operations management course. Mack Institute for Innovation Management at the Wharton School, University of Pennsylvania, 45.
[36]. Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., ... & Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606-659.
[37]. Sun, D., Boudouaia, A., Zhu, C., & Li, Y. (2024). Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study. International Journal of Educational Technology in Higher Education, 21(1), 14.
[38]. Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart learning environments, 10(1), 15.
[39]. Inoferio HV, Espartero MM, Asiri MS, et al. Coping with math anxiety and lack of confidence through AI-assisted learning. Environment and Social Psychology, 9(5), 2228.
[40]. Deng, X., & Yu, Z. (2023). A meta-analysis and systematic review of the effect of chatbot technology use in sustainable education. Sustainability, 15(4), 2940.
[41]. Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57-63.
[42]. Bucoy, R. M., Enumerabellon, K. M., Amilhamja, A. J., Sisnorio, C. B., Manalo, R., Chavez, J. V., ... & Albani, S. E. (2024). Knowledge deficits and analysis on comprehension of teachers on their common legal rights as teachers. Environment and Social Psychology, 9(9).
[43]. Jumalon, R. L., Chavez, J. V., Kairan, M. J., Abbas, K. D. A., Radjuni, A. J., Kadil, H. L. S., ... & Albani, S. E. (2024). Analysis on the implementation of inclusive classroom: Perception on compliances and obstructions of selected public-school teachers. Environment and Social Psychology, 9(9).
[44]. Savellon, K. I. S., Asiri, M. S., & Chavez, J. V. (2024). Public speaking woes of academic leaders: resources and alternative ways to improve speaking with audience. Environment and Social Psychology, 9(9).
[45]. Chavez, J. V. (2023). Assessing online academic integrity and humanized teaching in Zamboanga Peninsula Polytechnic State University. Journal of Multidisciplinary in Social Sciences, 19(1), 9-17.
[46]. Calzada, K. P. D. (2024). Anti-dependency teaching strategy for innovation in the age of AI among technology-based students. Environment and Social Psychology, 9(8).
[47]. Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783.
[48]. Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 1-14.
[49]. Preiksaitis, C., & Rose, C. (2023). Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review. JMIR medical education, 9, e48785.
[50]. Pesovski, I., Santos, R., Henriques, R., & Trajkovik, V. (2024). Generative ai for customizable learning experiences. Sustainability, 16(7), 3034.
[51]. Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52-62.
[52]. Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444-452.
[53]. Jacques, L. (2023). Teaching CS-101 at the Dawn of ChatGPT. ACM Inroads, 14(2), 40-46.
[54]. Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix. Sustainability, 15(15), 11524.
[55]. Zhang, C., Zhang, C., Li, C., Qiao, Y., Zheng, S., Dam, S. K., ... & Hong, C. S. (2023). One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era. arXiv preprint arXiv:2304.06488.
[56]. Lindgren, S. (2023). Introducing critical studies of artificial intelligence. In Handbook of critical studies of artificial intelligence (pp. 1-19). Edward Elgar Publishing.
[57]. Sevnarayan, K., & Potter, M. A. (2024). Generative Artificial Intelligence in distance education: Transformations, challenges, and impact on academic integrity and student voice. Journal of Applied Learning and Teaching, 7(1).
[58]. Honig, C. D., Desu, A., & Franklin, J. (2024). GenAI in the classroom: Customized GPT roleplay for process safety education. Education for Chemical Engineers, 49, 55-66.
[59]. Paradowski, M. B., & Jelińska, M. (2023). The predictors of L2 grit and their complex interactions in online foreign language learning: motivation, self-directed learning, autonomy, curiosity, and language mindsets. Computer Assisted Language Learning, 1-38.
[60]. Cronin-Golomb, L. M., & Bauer, P. J. (2023). Self-motivated and directed learning across the lifespan. Acta Psychologica, 232, 103816.
[61]. Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), 342-363.
[62]. Popenici, S., Rudolph, J., Tan, S., & Tan, S. (2023). A critical perspective on generative AI and learning futures.: An interview with Stefan Popenici. Journal of Applied Learning and Teaching, 6(2), 311-331.
[63]. Lim, W. M., Gunasekara, A., Pallant, J. L., Pallant, J. I., & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. The international journal of management education, 21(2), 100790.