Perceptions, Benefits, and Challenges of Students in SMU Senior High School on the Integration of Generative AI
Keira Danielle Pablo | Kale Gezler Cadorna | Roman Cabanag | Aaron Lucky Berganio | Reine Patrize Roberto | Jhoanna Mj Guieb | Eloisa Barbieto | Kristel Joy Dapiawen | Lady Valen Charon Dela Peña
Discipline: others in psychology
Abstract:
As we stand at the cusp of a revolution in classrooms, the utilization of Generative Artificial Intelligence (GenAI) in education has catapulted scholarly discourses into the spotlight. However, few research studies have delved into the potential benefits and challenges of GenAI in education. This study sought to determine the perceptions, benefits, and challenges of students in Saint Mary's University Senior High School (SMUSHS) regarding the use of generative AI. The study employed a descriptive-comparative research design, using both quantitative and qualitative methods. A Likert scale was used in the quantitative section, while an open-ended question was used for the qualitative part. With the use of purposive sampling, 274 students were selected as the respondents of the study. After data analysis, findings revealed that senior high school students positively perceive generative AI in education as a tool that enhances learning outcomes. Additionally, students tend to focus more on potential drawbacks than benefits when it comes to GenAI, as evidenced by the significantly higher average level of perceived challenges than benefits students experience in their education. It was also found that the frequency of usage of GenAI has a significant difference in students' perceptions of the use of GenAI in education and on the perceived benefits of GenAI in education. Furthermore, academic standing also played a major role in shaping the students' perceived challenges. For the potential integration of GenAI in education, the majority of the respondents suggest that restrictions and limitations be implemented as well as strengthening AI policies to ensure that students are not relying solely on AI for their academic work. This study could serve as a basis for formulating policies and guidelines on the use of GenAI in education and conducting seminars for students and teachers to address misconceptions and increase awareness of the benefits of using generative AI in educational settings.
References:
- Abdelwahab, H. R., Rauf, A., & Chen, D. (2022). Business students’ perceptions of Dutch higher education institutions in preparing them for artificial intelligence work environments. Industry and Higher Education, 37(1), 22–34. https://doi.org/10.1177/09504222221087614
- Alammar, A., & Amin, E. A. (2023). EFL students’ perception of using AI paraphrasing tools in English language research projects. Arab World English Journal, 14(3), 166–181. https://doi.org/10.24093/awej/vol14no3.11
- Al‐Badi, A. H., Khan, A. I., & Eid-Alotaibi. (2022). Perceptions of learners and instructors towards artificial intelligence in personalized learning. Procedia Computer Science, 201,445–451.
- https://doi.org/10.1016/j.procs.2022.03.058
- Ajlouni, A. O., Almahaireh, A. S., & Whaba, F. A. (2023). Students’ perception of using CHATGPT in Counseling and Mental Health education: the benefits and challenges. International Journal of Emerging Technologies in Learning (iJET), 18(20), 199–218. https://doi.org/10.3991/ijet.v18i20.42075
- Alzahrani, L. (2023). Analyzing students’ attitudes and behavior toward artificial intelligence technologies in higher education. International Journal of Recent Technology and Engineering (IJRTE), 11(6), 65–73. https://doi.org/10.35940/ijrte.f7475.0311623
- Amyatun, R. L., & Kholis, A. (2023). Can artificial intelligence (AI) like QuillBot AI assist students’ writing skills? Assisting learning to write texts using AI. English Language Education Reviews, 3(2), 135–154. https://doi.org/10.22515/elereviews.v3i2.7533
- Atlas, Stephen (2023). "ChatGPT for higher education and professional development: A guide to conversational AI." (2023). https://digitalcommons.uri.edu/cba_facpubs/548
- Baek, C., Tate, T. P., & Uci, M. W. (2023, December 12). “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI. https://doi.org/10.31219/osf.io/6tjpk
- Baidoo-Anu, D., Asamoah, D., Amoako, I., & Mahama, I. (2024). Exploring student perspectives on generative artificial intelligence in higher education learning. Discover Education, 3(1). https://doi.org/10.1007/s44217-024-00173-z
- Baidoo-Anu, D., & Leticia, O. A. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4337484
- Barrett, A., & Pack, A. (2023). Not quite eye to A.I.: Student and teacher perspectives on the use of generative artificial intelligence in the writing process. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00427-0
- Barrot, J. S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 100745. https://doi.org/10.1016/j.asw.2023.100745
- Berg, C. (2023). The case for generative AI in scholarly practice. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4407587
- Bisdas, S., Topriceanu, C.-C., Zakrzewska, Z., Irimia, A.-V., Shakallis, L., Subhash, J., Casapu, M.-M., Leon-Rojas, J., Pinto dos Santos, D., Andrews, D. M., Zeicu, C., Bouhuwaish, A. M., Lestari, A. N., Abu-Ismail, L., Sadiq, A. S., Khamees, A., Mohammed, K. M. G., Williams, E., Omran, A. I., … Ebrahim, E. H. (2021). Artificial intelligence in medicine: A multinational multi-center survey on the medical and dental students’ perception. Frontiers in Public Health, 9, 795284. https://doi.org/10.3389/fpubh.2021.795284
- Bhandari, A., Purchuri, S. N., Sharma, C., Ibrahim, M., & Prior, M. (2021). Knowledge and attitudes towards artificial intelligence in imaging: a look at the quantitative survey literature. Clinical Imaging, 80, 413–419. https://doi.org/10.1016/j.clinimag.2021.08.004
- Bower, M., Torrington, J., Lai, J. W. M., Petocz, P., & Alfano, M. (2024). How should we change teaching and assessment in response to increasingly powerful generative Artificial Intelligence? Outcomes of the ChatGPT teacher survey. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12405-0
- Chan, C.K.Y. (2023). Is AI changing the rules of academic misconduct? An in-depth look at students’ perceptions of ‘AI-giarism’. https://arxiv.org/abs/2306.03358
- Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8
- Chan, C. K. Y., & Lee, K. K. W. (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? https://arxiv.org/abs/2305.02878
- Chan, C. K. Y., & Tsi, L. H. Y. (2023). The AI revolution in Education: Will AI replace or assist teachers in higher education? arXiv (Cornell University). https://doi.org/10.48550/arxiv.2305.01185
- Chan, C. K. Y., & Zhou, W. (2023). Deconstructing student perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument [Preprint]. arXiv. https://arxiv.org/abs/2305.01186
- Christensen, C. M., & Eyring, H. J. (n.d.). The Innovative University: Changing the DNA of higher education from the inside out. https://eric.ed.gov/?id=ED532274
- Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383. https://doi.org/10.1016/j.ijinfomgt.2021.102383
- Dai, Y. (2024). Why students use or not use generative AI: Student conceptions, concerns, and implications for engineering education. Digital Engineering., 100019. https://doi.org/10.1016/j.dte.2024.100019
- Daher, W., & Hussein, A. (2024). Higher education students’ perceptions of GenAI tools for learning. Information, 15(7), 416. https://doi.org/10.3390/info15070416
- Dehouche, N., & Dehouche, K. (2023). What’s in a text-to-image prompt: The potential of Stable Difusion in visual arts education. https://doi.org/10.48550/arXiv.2301.01902
- Ding, L., Li, T., Jiang, S., & Gapud, A. (2023). Students’ perceptions of using ChatGPT in a physics class as a virtual tutor. International Journal of Educational Technology in Higher Education, 20(1).
- https://doi.org/10.1186/s41239-023-00434-1
- Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
- Duong, C. D., Vu, T. N., & Ngo, T. V. N. (2023). Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator. The International Journal of Management Education, 21(3), 100883. https://doi.org/10.1016/j.ijme.2023.100883
- Eden, C. A., Chisom, O. N., & Adeniyi, I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006-013. https://doi.org/10.30574/msarr.2024.10.2.0039
- Eken, S. (2023). Ethic wars: Student and educator attitudes in the context of ChatGPT. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4365433
- Elshaer, I. A., Hasanein, A. M., & Sobaih, A. E. E. (2024). The moderating effects of gender and study discipline in the relationship between university students’ acceptance and use of ChatGPT. European Journal of Investigation in Health Psychology and Education, 14(7), 1981–1995. https://doi.org/10.3390/ejihpe14070132
- Farhi, F., Jeljeli, R., Aburezeq, I., Dweikat, F. F., Al-Shami, S. A., & Slamene, R. (2023). Analyzing the students’ views, concerns, and perceived ethics about chat GPT usage. Computers and Education Artificial Intelligence, 5, 100180. https://doi.org/10.1016/j.caeai.2023.100180
- Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2023). Generative AI. Business & Information Systems Engineering, 66(1), 111–126. https://doi.org/10.1007/s12599-023-00834-7
- Gesser-Edelsburg, A., Hijazi, R., Eliyahu, E., & Tal, A. (2024). Bridging the Divide: An empirical investigation of artificial intelligence and generative artificial intelligence integration across genders, disciplines and academic roles. European Journal of Open Distance and E-Learning, 26(s1), 51–69. https://doi.org/10.2478/eurodl-2024-0008
- Ghotbi, N., Ho, M. T., & Mantello, P. (2021). Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan. AI & Society, 37(1), 283–290. https://doi.org/10.1007/s00146-021-01168-2
- Gocen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13–21. https://doi.org/10.2478/rem-2020-0003
- Gökçearslan, Ş., Tosun, C., & Erdemir, Z. G. (2024). Benefits, challenges, and methods of artificial intelligence (AI) chatbots in education: A systematic literature review. International Journal of Technology in Education, 7(1), 19–39. https://doi.org/10.46328/ijte.600
- Gong, B., Nugent, J. P., Guest, W., Parker, W., Chang, P. J., Khosa, F., & Nicolaou, S. (2019). Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: A national survey study. Academic Radiology, 26(4), 566–577. https://doi.org/10.1016/j.acra.2018.10.007
- Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004
- Harrer, S. (2023). Attention is not all you need: The complicated case of ethically using large language models in healthcare and medicine. EBioMedicine, 90, 104512. https://doi.org/10.1016/j.ebiom.2023.104512
- Heeg, D. M., & Avraamidou, L. (2023). The use of artificial intelligence in school science: a systematic literature review. Educational Media International, 60(2), 125–150. https://doi.org/10.1080/09523987.2023.2264990
- Hsu, A.J.C., Chen, M.YC. & Shin, NF. From academic achievement to career development: Does self-regulated learning matter?. Int J Educ Vocat Guidance 22, 285–305 (2022). https://doi.org/10.1007/s10775-021-09486-z
- Hu, K. (2023, February 2). ChatGPT sets record for fastest-growing user base—analyst note. Reuters. Retrieved from https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/
- Hutson, James, "Integrating art and AI: Evaluating the educational impact of AI tools in digital art history learning" (2024). Faculty Scholarship. 578.https://digitalcommons.lindenwood.edu/faculty-research-papers/578
- Jangjarat, K., Kraiwanit, T., Limna, P., & Sonsuphap, R. (2023). Public perceptions towards ChatGPT as the Robo-Assistant. Online Journal of Communication and Media Technologies, 13(3), e202338. https://doi.org/10.30935/ojcmt/13366
- Kee, T., Kuys, B., & King, R. (2024). Generative artificial intelligence to enhance architecture education to develop digital literacy and holistic competency. Journal of Artificial Intelligence in Architecture, 3(1), 24–41. https://doi.org/10.24002/jarina.v3i1.8347
- Keleş, P. U., & Aydın, S. (2021). University students’ perceptions about artificial intelligence. Shanlax International Journal of Education, 9(S1-May), 212–220. https://doi.org/10.34293/education.v9is1-may.4014
- Kelly, A., Sullivan, M., & Strampel, K. (n.d.). Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. Research Online. https://ro.uow.edu.au/jutlp/vol20/iss6/12/
- Kim, J., & Cho, Y. H. (2023). My teammate is AI: Understanding students’ perceptions of student-AI collaboration in drawing tasks. Asia Pacific Journal of Education, 1–15. https://doi.org/10.1080/02188791.2023.2286206
- Kim, T., & Cho, W. (2023). Employee voice opportunities enhance organizational performance when faced with competing demands. Review of Public Personnel Administration, 0(0). https://doi.org/10.1177/0734371X231190327
- Kim, J., & Lee, S. (2022). Are two heads better than one?: The effect of student-AI collaboration on students’ learning task performance. TechTrends, 67(2), 365–375. https://doi.org/10.1007/s11528-022-00788-9
- Kim, J., Yu, S., Detrick, R. et al. Exploring students’ perspectives on Generative AI-assisted academic writing. Educ Inf Technol (2024). https://doi.org/10.1007/s10639-024-12878-7
- Kitamura, F. C. (2023). ChatGPT is shaping the future of medical writing but still requires human judgment. Radiology, 307(2), e230171. https://doi.org/10.1148/radiol.230171
- 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. https://doi.org/10.5530/bems.9.1.5
- Lee, Y.-F., Hwang, G.-J., & Chen, P.-Y. (2022). Impacts of an AI-based chatbot on college students’ after-class review, academic performance, self-efficacy, learning attitude, and motivation. Educational Technology Research and Development, 70, 1843–1865. https://doi.org/10.1007/s11423-022-10142-8
- Li, Z., Liang, C., Peng, J., & Yin, M. (2024). The value, benefits, and concerns of generative AI-powered Assistance in Writing. The Value, Benefits, and Concerns of Generative AI-Powered Assistance in writing. https://doi.org/10.1145/3613904.3642625
- 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). https://doi.org/10.1016/j.ijme.2023.100790
- Liu, Binghan. (2023). Chinese university students’ attitudes and perceptions in learning English using ChatGPT. International Journal of Education and Humanities. 3. 132-140. 10.58557/(ijeh).v3i2.145. https://www.researchgate.net/publication/373693120
- Lubowitz, J. H. (2023). ChatGPT, an artificial intelligence chatbot, is impacting medical literature. Arthroscopy, 39(5),1121-1122. https://doi.org/10.1016/j.arthro.2023.01.015
- Maerten, A., & Soydaner, D. (2023, February 14). From paintbrush to pixel: A review of deep neural networks in AI-generated art. arXiv.org. https://arxiv.org/abs/2302.10913
- McMurtrie, B. (2023) 'How ChatGPT could help or hurt students with disabilities', The chronicle of higher education. Available at: https://www.chronicle.com/article/how-chatgpt-could-help-or-hurt-students-with-disabilities
- Miao, F., and W. Holmes. 2023. “Guidance for Generative AI in Education and Research.” https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research.
- Mohammed, P. S., & Watson, E. ‘. (2019). Towards inclusive education in the age of artificial intelligence: Perspectives, challenges, and opportunities. In Perspectives on rethinking and reforming education (pp. 17–37). https://doi.org/10.1007/978-981-13-8161-4_2
- Moqbel, M. S. S., & Al-Kadi, A. M. T. (2023). Foreign language learning assessment in the age of CHATGPT. Journal of English Studies in Arabia Felix, 2(1), 71–84. https://doi.org/10.56540/jesaf.v2i1.62
- Nader, K., Toprac, P., Scott, S., & Baker, S. (2022). Public understanding of artificial intelligence through entertainment media. AI and Society. https://doi.org/10.1007/s00146-022-01427-w
- Narayanan, S. (2024). Decoding the digital fine print: Navigating the potholes in terms of service/ use of GenAI tools against the emerging need for transparent and trustworthy tech futures. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2406.11845
- Obaid, O. I., Ali, A. H., & Yaseen, M. G. (2023). Impact of ChatGPT on scientific research: Opportunities, risks, limitations, and ethical issues. Iraqi Journal for Computer Science and Mathematics, 13–17. https://doi.org/10.52866/ijcsm.2023.04.04.002
- Obenza, B., Salvahan, A., Rios, A. N., Solo, A., Alburo, R. A., & Gabila, R. J. (2024, February 13). University students’ perception and use of ChatGPT: Generative artificial intelligence (AI) in higher education. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4724968
- O’Dea, X., Ng, D. T. K., O’Dea, M., & Shkuratskyy, V. (2024). Factors affecting university students’ generative AI literacy: Evidence and evaluation in the UK and Hong Kong contexts. Policy Futures in Education. https://doi.org/10.1177/14782103241287401
- Olatunde-Aiyedun, T. G. (2024). Artificial intelligence (AI) in education: Integration of AI into science education curriculum in Nigerian. ResearchGate. https://doi.org/10.13140/RG.2.2.31699.76320
- Peres, R., Shreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and beyond: How generative artifcial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing. https://doi.org/10.1016/j. ijresmar.2023.03.00
- Petricini, T., Wu, C., & Zipf, S. T. (2023). Perceptions about Generative AI and ChatGPT use by faculty and college students. https://doi.org/10.35542/osf.io/jyma4
- Pu, S., Ahmad, M. N., Khambari, M. N. M., & Yap, N. K., (2021). Identification and analysis of core topics in educational artificial intelligence research: A Bibliometric analysis. Cypriot Journal of Educational Science. 16(3), 995-1009 https://doi.org/10.18844/cjes.v16i3.5782
- Robinson, S., Yasar, K., & Lewis, S. (2024, October 18). What is a Generative Adversarial Network (GAN)? Search Enterprise AI. Retrieved November 30, 2024, from https://www.techtarget.com/searchenterpriseai/definition/generative-adversarial-network-GAN
- Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. https://doi.org/10.3390/healthcare11060887
- Schönberger, D. (2019). Artificial intelligence in healthcare: A critical analysis of the legal and ethical implications. International Journal of Law and Information Technology, 27(2), 171–203. https://doi.org/10.1093/ijlit/eaz004
- Sekeroglu, B., Dimililer, K. and Tuncal, K. (2019) Student performance prediction and classification using Machine Learning Algorithms. Proceedings of the 2019 8th International Conference on Educational and Information Technology, New York, 2-4 March 2019, 7-11. https://doi.org/10.1145/3318396.3318419
- Siregar, F., Hasmayni, B., & Lubis, A. (2024, February 1). The analysis of ChatGPT usage impact on learning motivation among scout students. ResearchHub. https://www.researchhub.com/paper/4484890/the-analysis-of-chat-gpt-usage-impact-on-learning-motivation-among-scout-students/conversation
- Sit, C., Srinivasan, R., Amlani, A., Muthuswamy, K., Azam, A., Monzon, L., & Poon, D. S. (2020). Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: A mutilcentre survey. Insights into Imaging. https://doi.org/10.1186/s13244-019-0830-7
- Slimi, Z. (2023b). The impact of artificial intelligence on higher education: An empirical study. European Journal of Educational Sciences, 10(1). https://doi.org/10.19044/ejes.v10no1a17
- Stöhr, C., Ou, A. W., & Malmström, H. (2024). Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Computers and Education Artificial Intelligence, 100259. https://doi.org/10.1016/j.caeai.2024.100259
- Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms. Assessing Writing, 57, 100752. https://doi.org/10.1016/j.asw.2023.100752
- Sun, G. H., & Hoelscher, S. H. (2023). The ChatGPT storm and what faculty can do. Nurse Educator, 48(3), 119–124. https://doi.org/10.1097/nne.0000000000001390
- Taber, K. S. (2017). The use of cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
- Tala, M. L., Müller, C. B., Nastase, I. A., State, O., & Gheorghe, G. (2024b). Exploring university students’ perceptions of generative artificial intelligence in education. Amfiteatru Economic, 26(65), 71. https://doi.org/10.24818/ea/2024/65/71
- Tominc, P., & Rožman, M. (2023, June 16). Perception of artificial intelligence by students. https://encyclopedia.pub/entry/45643
- Tseng, W., & Warschauer, M. (2023). AI-writing tools in education: If you can’t beat them, join them. Journal of China Computer-Assisted Language Learning, 3(2), 258–262. https://doi.org/10.1515/jccall-2023-0008
- UNESCO (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. MINISTERIO DE EDUCACIÓN. http://repositorio.minedu.gob.pe/handle/20.500.12799/6533
- Van Dis, E. a. M., Bollen, J., Zuidema, W., Van Rooij, R., & Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 224–226. https://doi.org/10.1038/d41586-023-00288-7
- Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q, & Tate, T. (2023). The affordances and contradictions of AI-generated text for second language writers. https://doi.org/10.2139/ssrn.440438
- Yang, & Xiaochen. (n.d.). Foundations of generative AI. https://link.springer.com/chapter/10.1007/978-3-031-54252-7_1
- Yigitcanlar, T., Degirmenci, K., & Inkinen, T. (2022). Drivers behind the public perception of artificial intelligence: Insights from major Australian cities. AI and Society. https://doi.org/10.1007/s00146-022-01566-0
- Y Yüzbaşioğlu, E. (2021). Attitudes and perceptions of dental students towards artificial intelligence. Journal of Dental Education, 85(1), 60–68. https://doi.org/10.1002/jdd.12385
- Zawacki‐Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0
- Zhai, X. (2022). ChatGPT user experience: Implications for education. https://doi.org/10.2139/ssrn.4312418
- Zhang, K., & Aslan, A. (2021). AI technologies for education: Recent research & future directions. Computers & Education: Artificial Intelligence, 2, 100025. https://doi.org/10.1016/j.caeai.2021.100025
- Zhu, C., Sun, M., Luo, J., Li, T., & Wang, M. (2023). How to harness the potential of ChatGPT in education? Knowledge Management & E-Learning, 15(2), 133–152. https://doi.org/10.34105/j.kmel.2023.15.008