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Empowering education development through AIGC: A systematic literature review

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Abstract

As an exemplary representative of AIGC products, ChatGPT has ushered in new possibilities for the field of education. Leveraging its robust text generation and comprehension capabilities, it has had a revolutionary impact on pedagogy, learning experiences, personalized education and other aspects. However, to date, there has been no comprehensive review of AIGC technology’s application in education. In light of this gap, this study employs a systematic literature review and selects 134 relevant publications on AIGC’s educational application from 4 databases: EBSCO, EI Compendex, Scopus, and Web of Science. The study aims to explore the macro development status and future trends in AIGC’s educational application. The following findings emerge: 1) In the AIGC’s educational application field, the United States is the most active country. Theoretical research dominates the research types in this domain; 2) Research on AIGC’s educational application is primarily published in journals and academic conferences in the fields of educational technology and medicine; 3) Research topics primarily focus on five themes: AIGC technology performance assessment, AIGC technology instructional application, AIGC technology enhancing learning outcomes, AIGC technology educational application’s Advantages and Disadvantages analysis, and AIGC technology educational application prospects. 4) Through Grounded Theory, the study delves into the core advantages and potential risks of AIGC’s educational application, deconstructing the scenarios and logic of AIGC’s educational application. 5) Based on a review of existing literature, the study provides valuable future agendas from both theoretical and practical application perspectives. Discussing the future research agenda contributes to clarifying key issues related to the integration of AI and education, promoting more intelligent, effective, and sustainable educational methods and tools, which is of great significance for advancing innovation and development in the field of education.

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Data availability

The datasets (Coding results) generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  • Abdelghani, R., Wang, Y. H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H., & Oudeyer, P. Y. (2023). Gpt-3-driven pedagogical agents to train children’s curious question-asking skills. International Journal of Artificial Intelligence in Education, 1–36. https://doi.org/10.1007/s40593-023-00340-7

  • Abdulai, A. F., & Hung, L. (2023). Will ChatGPT undermine ethical values in nursing education, research, and practice. Nursing Inquiry. e12556–e12556. https://doi.org/10.1111/nin.12556

  • Ahmed, S. K. (2023). The Impact of ChatGPT on the Nursing Profession: Revolutionizing Patient Care and Education. Annals of Biomedical Engineering, 1–2. https://doi.org/10.1007/s10439-023-03262-6

  • Albeshri, A., & Thayananthan, V. (2018). Analytical techniques for decision making on information security for big data breaches. International Journal of Information Technology & Decision Making, 17(02), 527–545. https://doi.org/10.1142/S0219622017500432

    Article  Google Scholar 

  • Allen, B., Dreyer, K., Stibolt Jr, R., Agarwal, S., Coombs, L., Treml, C., ... & Wald, C. (2021). Evaluation and real-world performance monitoring of artificial intelligence models in clinical practice: Try it, buy it, check it. Journal of the American College of Radiology, 18(11), 1489–1496. https://doi.org/10.1016/j.jacr.2021.08.022

  • Alnaqbi, N. M., & Fouda, W. (2023). Exploring the role of ChatGPT and social media in enhancing student evaluation of teaching styles in higher education using neutrosophic sets. International Journal of Neutrosophic Science, 20(4), 181–190. https://doi.org/10.1111/nin.12556

    Article  Google Scholar 

  • Alqahtani, T., Badreldin, H. A., Alrashed, M., Alshaya, A. I., Alghamdi, S. S., bin Saleh, K., ... & 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. https://doi.org/10.1016/j.sapharm.2023.05.016

  • Ancillai, C., Sabatini, A., Gatti, M., & Perna, A. (2023). Digital technology and business model innovation: A systematic literature review and future research agenda. Technological Forecasting and Social Change, 188, 122307. https://doi.org/10.1016/j.techfore.2022.122307

    Article  Google Scholar 

  • Banić, B., Konecki, M., & Konecki, M. (2023, May). Pair Programming Education Aided by ChatGPT. In 2023 46th MIPRO ICT and Electronics Convention (MIPRO) (pp. 911–915). IEEE.

  • Busch, F., Adams, L. C., & Bressem, K. K. (2023). Biomedical ethical aspects towards the implementation of artificial intelligence in medical education. Medical Science Educator., 33, 1007–1012. https://doi.org/10.1007/s40670-023-01815-x

    Article  Google Scholar 

  • Chang, C.-Y., Kuo, S.-Y., & Hwang, G.-H. (2022). Chatbot-facilitated nursing education: Incorporating a knowledge-based Chatbot system into a nursing training program. Educational Technology & Society, 25(1), 15–27. Retrieved December 19, 2023, from https://www.jstor.org/stable/48647027

  • Charmaz, K., & Thornberg, R. (2021). The pursuit of quality in grounded theory. Qualitative Research in Psychology, 18(3), 305–327. https://doi.org/10.1080/14780887.2020.1780357

    Article  Google Scholar 

  • Choi, E. P. H., Lee, J. J., Ho, M. H., Kwok, J. Y. Y., & Lok, K. Y. W. (2023). Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education. Nurse Education Today, 125, 105796–105796. https://doi.org/10.1016/j.nedt.2023.105796

    Article  Google Scholar 

  • 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. https://doi.org/10.1007/s10956-023-10039-y

    Article  Google Scholar 

  • Cross, J., Robinson, R., Devaraju, S., Vaughans, A., Hood, R., Kayalackakom, T., ... & Robinson, R. E. (2023). Transforming medical education: Assessing the integration of ChatGPT into faculty workflows at a Caribbean medical school. Cureus, 15(7). https://doi.org/10.7759/cureus.41399

  • Currie, G. M. (2023, May). Academic integrity and artificial intelligence: Is ChatGPT hype, hero or heresy? In Seminars in Nuclear Medicine. WB Saunders. https://doi.org/10.1053/j.semnuclmed.2023.04.008

  • Das, D., Kumar, N., Longjam, L. A., Sinha, R., Roy, A. D., Mondal, H., & Gupta, P. (2023). Assessing the capability of ChatGPT in answering first-and second-order knowledge questions on microbiology as per competency-based medical education curriculum. Cureus, 15(3). https://doi.org/10.7759/cureus.36034

  • Deacon, B., Laufer, M., & Schäfer, L. O. (2023). Infusing educational technologies in the heart of the university-a systematic literature review from an organisational perspective. British Journal of Educational Technology, 54(2), 441–466. https://doi.org/10.1111/bjet.13277

    Article  Google Scholar 

  • Deeley, S. J. (2018). Using technology to facilitate effective assessment for learning and feedback in higher education. Assessment & Evaluation in Higher Education, 43(3), 439–448. https://doi.org/10.1080/02602938.2017.1356906

    Article  Google Scholar 

  • 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. https://doi.org/10.3390/su15042940

    Article  Google Scholar 

  • Diekemper, R. L., Ireland, B. K., & Merz, L. R. (2015). Development of the documentation and appraisal review tool for systematic reviews. World Journal of Meta-Analysis, 3(3), 142–150. https://doi.org/10.13105/wjma.v3.i3.142

    Article  Google Scholar 

  • Engel, A., & Coll, C. (2022). Hybrid teaching and learning environments to promote personalized learning. RIED-Revista Iberoamericana de Educacion a Distancia, 225–242. https://doi.org/10.5944/ried.25.1.31489

  • Escotet, M. Á. (2023). The optimistic future of Artificial Intelligence in higher education. Prospects, 1–10. https://doi.org/10.1007/s11125-023-09642-z

  • Esplugas, M. (2023). The use of artificial intelligence (AI) to enhance academic communication, education and research: A balanced approach. Journal of Hand Surgery (European Volume), 48(8), 819–822. https://doi.org/10.1177/17531934231185746

  • Extance, A. (2023). ChatGPT has entered the classroom: How LLMs could transform education. Nature, 623, 474–477. https://doi.org/10.1038/d41586-023-03507-3

    Article  Google Scholar 

  • Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., & Naghmeh-Abbaspour, B. (2023). Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA. International Journal of Human-Computer Interaction, 1–20. https://doi.org/10.1080/10447318.2023.2226495

  • Gaur, A., & Kumar, M. (2018). A systematic approach to conducting review studies: An assessment of content analysis in 25 years of IB research. Journal of World Business, 53(2), 280–289. https://doi.org/10.1016/j.jwb.2017.11.003

    Article  Google Scholar 

  • Ghorbani, M., Bahaghighat, M., Xin, Q., & Özen, F. (2020). ConvLSTMConv network: A deep learning approach for sentiment analysis in cloud computing. Journal of Cloud Computing, 9(1), 1–12. https://doi.org/10.1186/s13677-020-00162-1

    Article  Google Scholar 

  • Glaser, B., & Strauss, A. (2017). Discovery of grounded theory: Strategies for qualitative research. Routledge https://doi.org/10.1016/j.jwb.2017.11.003

  • Gough, D., Oliver, S., & Thomas, J. (Eds.). (2017). An introduction to systematic reviews. Sage https://doi.org/10.5124/jkma.2014.57.1.49

  • Grant, N., & Metz, C. (2022). A new chat bot is a ‘code red’ for Google's search business, The New York Times. Available at: https://www.nytimes.com/2022/12/21/technology/ai-chatgpt-google-search.html. Accessed 19 Dec 2023

  • Hadi, M. S., & Junor, R. S. (2022). Speaking to devices: Can we use Google assistant to Foster Students' speaking skills? Journal of Languages and Language Teaching, 10(4), 570–578. https://doi.org/10.33394/jollt.v10i4.5808

    Article  Google Scholar 

  • Heng, J. J., Teo, D. B., & Tan, L. F. (2023). The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education. Postgraduate Medical Journal, qgad058. https://doi.org/10.1093/postmj/qgad058

  • Ho, W., & Lee, D. (2023). Enhancing engineering education in the roblox metaverse: Utilizing chatgpt for game development for electrical machine course. International Journal on Advanced Science, Engineering & Information Technology, 13(3). https://doi.org/10.18517/ijaseit.13.3.18458

  • Holmes, W., & Kay, J. (2023, June). AI in education. Coming of age? The community voice. In International conference on artificial intelligence in education (pp. 85–90). Springer Nature Switzerland.

    Google Scholar 

  • Hsu, Y. C., & Ching, Y. H. (2023). Generative Artificial Intelligence in Education, Part One: the Dynamic Frontier. TechTrends, 1–5. https://doi.org/10.1007/s11528-023-00863-9

  • Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2021.1952615

  • Jalil, S., Rafi, S., LaToza, T. D., Moran, K., & Lam, W. (2023, April). Chatgpt and software testing education: Promises & perils. In 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW) (pp. 4130–4137). IEEE.

  • Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 1–20. https://doi.org/10.1007/s10639-023-11834-1

  • Jing, Y., Wang, C., Chen, Y., Wang, H., Yu, T., & Shadiev, R. (2023). Bibliometric mapping techniques in educational technology research: A systematic literature review. Education and Information Technologies, 1–29. https://doi.org/10.1007/s10639-023-12178-6

  • Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26. https://doi.org/10.3102/0013189X033007014

    Article  Google Scholar 

  • Karabacak, M., Ozkara, B. B., Margetis, K., Wintermark, M., & Bisdas, S. (2023). The advent of generative language models in medical education. JMIR Medical Education, 9, e48163. https://doi.org/10.2196/48163

    Article  Google Scholar 

  • Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

    Article  Google Scholar 

  • Kepuska, V., & Bohouta, G. (2018, January). Next-generation of virtual personal assistants (microsoft cortana, apple siri, amazon alexa and google home). In 2018 IEEE 8th annual computing and communication workshop and conference (CCWC) (pp. 99–103). IEEE.

  • Kerneža, M. (2023). Fundamental And Basic Cognitive Skills Required For Teachers To Effectively Use Chatbots In Education. In Science And Technology Education: New Developments And Innovations (pp. 99–110). Scientia Socialis, UAB.

  • Kılıçkaya, F. (2020). Using a chatbot, Replika, to practice writing through conversations in L2 English: A Case study. In New Technological applications for foreign and second language learning and teaching (pp. 221–238). IGI Global. https://doi.org/10.4018/978-1-7998-2591-3.ch011

  • Killian, C. M., Marttinen, R., Howley, D., Sargent, J., & Jones, E. M. (2023). “Knock, Knock... Who’s There?” ChatGPT and Artificial Intelligence-Powered Large Language Models: Reflections on Potential Impacts Within Health and Physical Education Teacher Education. Journal of Teaching in Physical Education, 1(aop), 1–5. https://doi.org/10.1123/jtpe.2023-0058

  • Kohnke, L. (2022). A pedagogical Chatbot: A supplemental language learning Tool.RELC Journal, 00336882211067054. https://doi.org/10.1177/00336882211067054

  • Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., ... & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLoS Digital Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198

  • Lee, D., & Yeo, S. (2022). Developing an AI-based chatbot for practicing responsive teaching in mathematics. Computers & Education, 191, 104646. https://doi.org/10.1016/j.compedu.2022.104646

    Article  Google Scholar 

  • Lee, L. W., Dabirian, A., McCarthy, I. P., & Kietzmann, J. (2020). Making sense of text: Artificial intelligence-enabled content analysis. European Journal of Marketing, 54(3), 615–644. https://doi.org/10.1108/EJM-02-2019-0219

    Article  Google Scholar 

  • Li, L., Ma, Z., Fan, L., Lee, S., Yu, H., & Hemphill, L. (2023). ChatGPT in education: A discourse analysis of worries and concerns on social media. arXiv preprint arXiv:2305.02201. https://doi.org/10.48550/arXiv.2305.02201

  • 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. https://doi.org/10.1016/j.ijme.2023.100790

    Article  Google Scholar 

  • Lin, T. J., & Lan, Y. J. (2015). Language learning in virtual reality environments: Past, present, and future. Journal of Educational Technology & Society, 18(4), 486–497. Retrieved December 19, 2023, from http://www.jstor.org/stable/jeductechsoci.18.4.486

  • Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1–8. https://doi.org/10.14742/ajet.8695

    Article  Google Scholar 

  • Luo, H., Li, G., Feng, Q., Yang, Y., & Zuo, M. (2021). Virtual reality in K-12 and higher education: A systematic review of the literature from 2000 to 2019. Journal of Computer Assisted Learning, 37(3), 887–901. https://doi.org/10.1111/jcal.12538

    Article  Google Scholar 

  • Mariani, M. M., Hashemi, N., & Wirtz, J. (2023). Artificial intelligence empowered conversational agents: A systematic literature review and research agenda. Journal of Business Research, 161, 113838. https://doi.org/10.1016/j.jbusres.2023.113838

    Article  Google Scholar 

  • Mohamed, A. M. (2023). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a Foreign Language (EFL) teaching: perceptions of EFL Faculty Members. Education and Information Technologies, 1–23. https://doi.org/10.1007/s10639-023-11917-z

  • Mohammad, B., Supti, T., Alzubaidi, M., Shah, H., Alam, T., Shah, Z., & Househ, M. (2023). The pros and cons of using ChatGPT in medical education: A scoping review. Student Health Technology Information, 305, 644–647. https://doi.org/10.3233/SHTI230580

    Article  Google Scholar 

  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151, 264–269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135

    Article  Google Scholar 

  • Mokmin, N. A. M., & Ibrahim, N. A. (2021). The evaluation of chatbot as a tool for health literacy education among undergraduate students. Education and Information Technologies, 26(5), 6033–6049. https://doi.org/10.1007/s10639-021-10542-y

    Article  Google Scholar 

  • Patel, N., Nagpal, P., Shah, T., Sharma, A., Malvi, S., & Lomas, D. (2023). Improving mathematics assessment readability: Do large language models help? Journal of Computer Assisted Learning, 39(3), 804–822. https://doi.org/10.1111/jcal.12776

    Article  Google Scholar 

  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45(4), O1–O16. https://doi.org/10.1111/ijcs.12695

    Article  Google Scholar 

  • Pentina, I., Xie, T., Hancock, T., & Bailey, A. (2023). Consumer–machine relationships in the age of artificial intelligence: Systematic literature review and research directions. Psychology & Marketing, 40(8), 1593–1614. https://doi.org/10.1002/mar.21853

    Article  Google Scholar 

  • Pereira, R., Reis, A., Barroso, J., Sousa, J., & Pinto, T. (2022). Virtual assistants applications in education. In International conference on technology and innovation in learning, teaching and education (pp. 468–480). Springer Nature Switzerland.

    Google Scholar 

  • Pinto, A. S., Abreu, A., Costa, E., & Paiva, J. (2023). How Machine Learning (ML) is transforming higher education: A systematic literature review. Journal of Information Systems Engineering and Management, 8(2). https://doi.org/10.55267/iadt.07.13227

  • Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI-augmented HRM: Literature review and a proposed multilevel framework for future research. Technological Forecasting and Social Change, 193, 122645. https://doi.org/10.1016/j.techfore.2023.122645

    Article  Google Scholar 

  • Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778

    Article  Google Scholar 

  • Rahimzadeh, V., Kostick-Quenet, K., Blumenthal Barby, J., & McGuire, A. L. (2023). Ethics education for healthcare professionals in the era of chatGPT and other large language models: Do we still need it?. The American Journal of Bioethics, 1–11. https://doi.org/10.1080/15265161.2023.2233358

  • Rahman, M. M., & Watanobe, Y. (2023). ChatGPT for education and research: Opportunities, threats, and strategies. Applied Sciences, 13(9), 5783. https://doi.org/10.3390/app13095783

    Article  Google Scholar 

  • Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., ... & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1

  • Sallam, M. (2023a). ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. In Healthcare (Vol. 11, No. 6, p. 887). MDPI. https://doi.org/10.3390/healthcare11060887

  • Sallam, M. (2023b). 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

    Article  Google Scholar 

  • Sánchez-Ruiz, L. M., Moll-López, S., Nuñez-Pérez, A., Moraño-Fernández, J. A., & Vega-Fleitas, E. (2023). ChatGPT challenges blended learning methodologies in engineering education: A case study in mathematics. Applied Sciences, 13(10), 6039. https://doi.org/10.3390/app13106039

    Article  Google Scholar 

  • Sandu, N., & Gide, E. (2019). Adoption of AI-Chatbots to enhance student learning experience in higher education in India. In 2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET) (pp. 1–5). IEEE.

  • Schmulian, A., & Coetzee, S. A. (2019). Students’ experience of team assessment with immediate feedback in a large accounting class. Assessment & Evaluation in Higher Education, 44(4), 516–532. https://doi.org/10.1080/02602938.2018.1522295

    Article  Google Scholar 

  • Seetharaman, R. (2023). Revolutionizing medical education: Can ChatGPT boost subjective learning and expression? Journal of Medical Systems, 47(1), 1–4. https://doi.org/10.1007/s10916-023-01957-w

    Article  Google Scholar 

  • Sharma, M., & Sharma, S. (2023). A holistic approach to remote patient monitoring, fueled by ChatGPT and Metaverse technology: The future of nursing education. Nurse Education Today, 131, 105972. https://doi.org/10.1016/j.nedt.2023.105972

    Article  Google Scholar 

  • Shlonsky, A., Noonan, E., Littell, J. H., & Montgomery, P. (2011). The role of systematic reviews and the Campbell collaboration in the realization of evidence-informed practice. Clinical Social Work Journal, 39, 362–368. https://doi.org/10.1007/s10615-010-0307-0

    Article  Google Scholar 

  • Shoja, M. M., Van de Ridder, J. M., & Rajput, V. (2023). The emerging role of generative artificial intelligence in medical education, research, and practice. Cureus, 15(6), e40883. https://doi.org/10.7759/cureus.40883

    Article  Google Scholar 

  • Siegle, D. (2023). A role for ChatGPT and AI in gifted education. Gifted Child Today, 46(3), 211–219. https://doi.org/10.1177/10762175231168443

    Article  Google Scholar 

  • Smith, A., Hachen, S., Schleifer, R., Bhugra, D., Buadze, A., & Liebrenz, M. (2023). Old dog, new tricks? Exploring the potential functionalities of ChatGPT in supporting educational methods in social psychiatry. International Journal of Social Psychiatry. https://doi.org/10.1177/0020764023117845

  • Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2023.2209881

  • Tam, W., Huynh, T., Tang, A., Luong, S., Khatri, Y., & Zhou, W. (2023). Nursing education in the age of artificial intelligence powered Chatbots (AI-Chatbots): Are we ready yet? Nurse Education Today, 129, 105917. https://doi.org/10.1016/j.nedt.2023.105917

    Article  Google Scholar 

  • Teel, Z. A., Wang, T., & Lund, B. (2023). ChatGPT conundrums: Probing plagiarism and parroting problems in higher education practices. College & Research Libraries News, 84(6), 205. https://doi.org/10.5860/crln.84.6.205

    Article  Google Scholar 

  • 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. https://doi.org/10.1186/s40561-023-00237-x

    Article  Google Scholar 

  • Tsang, R. (2023). Practical applications of ChatGPT in undergraduate medical education. Journal of Medical Education and Curricular Development, 10. https://doi.org/10.1177/23821205231178449

  • Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 1–25. https://doi.org/10.1007/s10639-023-11742-4

  • Zhang, R., Zou, D., & Cheng, G. (2023a). A review of chatbot-assisted learning: pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions. Interactive Learning Environments, 1–29. https://doi.org/10.1080/10494820.2023.2202704

  • Zhang, S., Shan, C., Lee, J. S. Y., Che, S., & Kim, J. H. (2023b). Effect of chatbot-assisted language learning: A meta-analysis. Education and Information Technologies, 1–21. https://doi.org/10.1007/s10639-023-11805-6

  • 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. https://doi.org/10.34105/j.kmel.2023.15.008

    Article  Google Scholar 

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Correspondence to Chengliang Wang.

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Appendix

Appendix

Table 8 Article & Review types (n = 106)
Table 9 Other types (including Editorial, Perspective, Letter, and Note, n = 28)
Table 10 Open coding of core advantages
Table 11 Open coding of potential risks
Table 12 Axial coding of core advantages
Table 13 Axial coding of potential risks

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Chen, X., Hu, Z. & Wang, C. Empowering education development through AIGC: A systematic literature review. Educ Inf Technol 29, 17485–17537 (2024). https://doi.org/10.1007/s10639-024-12549-7

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