Una revisión sistemática de la IA generativa y la educación superior (en inglés como medio de instrucción)

Referencias bibliográficas

• Abdelwahab, H. R., Rauf, A., & Chen, D. (2023). Business students’ perceptions of Dutch higher educational institutions in preparing them for artificial intelligence work environments. Industry and Higher Education, 37(1), 22–34. https://doi.org/10.1177/09504222221087614
• Abunasser, B. S., Al-Hiealy, M. R. J., Barhoom, A. M., Almasri, A. R., & Abu-Naser, S. S. (2022). Prediction of Instructor Performance using Machine and Deep Learning Techniques. International Journal of Advanced Computer Science and Applications, 13(7), 78–83. https://doi.org/10.14569/IJACSA.2022.0130711
• Archibald, A., Hudson, C., Heap, T., Thompson, R., Lin, L., DeMerrit, J. & Lucke, H. (2023). A validation of AI-enabled discussion platform metrics and relationships to student efforts. TechTrends, 67(2), 285-293. https://doi.org/10.1007/s11528-022-00825-7
• Archibald, M. M., & Clark, A. M. (2023). ChatGTP: What is it and how can nursing and health science education use it? Journal of Advanced Nursing. https://doi.org/10.1111/jan.15643
• Bañeres, D., Rodríguez-González, M. E., Guerrero-Roldán, A.-E., & Cortadas, P. (2023). An early warning system to identify and intervene online dropout learners. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-022-00371-5
• Banihashem, S. K., Noroozi, O., den Brok, P., Biemans, H. J. A., & Kerman, N. T. (2023). Modeling teachers’ and students’ attitudes, emotions, and perceptions in blended education: Towards post-pandemic education. International Journal of Management Education, 21(2). https://doi.org/10.1016/j.ijme.2023.100803
• Basilotta-Gómez-Pablos, V., Matarranz, M., Casado-Arranda, L.-A. & Otto, A. (2022). Teachers’ digital competencies in higher education: a systematic literature review. International Journal of Educational Technology in Higher Education, 19(8). https://doi.org/10.1186/s41239-021-00312-8
• Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society for Information Science and Technology, 64(2), 217-233. https://doi.org/10.1002/asi.22803
• Chang, Q., Pan, X., Manikandan, N., & Ramesh, S. (2022). Artificial Intelligence Technologies for Teaching and Learning in Higher Education. International Journal of Reliability, Quality and Safety Engineering, 29(5). https://doi.org/10.1142/S021853932240006X
• Charmaz, K. (1996). The search for meanings- grounded theory. In J.A. Smith, R Harré & L. Van Langenhove (Eds.), Rethinking methods in psychology (pp. 27-49). Sage Publications.
• Chen, X., Xie, H., Zou, D., Hwang, G.-J. (2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100002. https://doi.org/10.1016/j.caeai.2020.100002
• Chen, Y., Jensen, S., Albert, L. J., Gupta, S. & Lee, T. (2023). Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success. Information Systems Frontiers, 25(1), 161-182. https://doi.org/10.1007/s10796-022-10291-4
• Chen, Z. (2022). Artificial Intelligence Evaluation for Mathematics Teaching in Colleges under the Guidance of Wireless Network. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/3201004
• 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. https://doi.org/10.1016/j.nedt.2023.105796
• Chong, S.W., Lin, T.J. & Chen, Y. (2022). A methodological review of systematic literature reviews in higher education: Heterogeneity and homogeneity. Educational Research Review, 35, 100426. https://doi.org/10.1016/j.edurev.2021.100426
• Chu, H.-C., Hwang, G.-H., Tu, Y.-F., & Yang, K.-H. (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles. Australasian Journal of Educational Technology, 38(3), 22–42. https://doi.org/10.14742/ajet.7526
• Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-023-10039-y
• Costello, E. (2023). ChatGPT and the Educational AI Chatter: Full of Bullshit or Trying to Tell Us Something? Postdigital Science and Education. https://doi.org/10.1007/s42438-023-00398-5
• Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2023.2190148
• Cox, A., Cameron, D., Checco, A., Herrick, T., Mawson, M., & Steadman-Jones, R. (2022). Criteria of quality in fiction-based research to promote debate about the use of AI and robots in Higher Education. Higher Education Research and Development. https://doi.org/10.1080/07294360.2022.2087603
• Crawford, J., Cowling, M., & Allen, K.-A. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching and Learning Practice, 20(3). https://doi.org/10.53761/1.20.3.02
• Dahmen, J., Kayaalp, M. E., Ollivier, M., Pareek, A., Hirschmann, M. T., Karlsson, J., & Winkler, P. W. (2023). Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword. Knee Surgery, Sports Traumatology, Arthroscopy. https://doi.org/10.1007/s00167-023-07355-6
• Dameri, R.P. & Demartini, P. (2020). Knowledge transfer and translation in cultural ecosystems. Management Decision, 58(9), 1885-1907. https://doi.org/10.1108/MD-10-2019-1505
• Dearden, J. (2015). English as a medium of instruction —a growing global phenomenon. British Council. Retrieved from https://www.britishcouncil.org/sites/default/files/e484_emi_cover_option_3_final_web.pdf
• Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71. https://doi.org/10.1016/j.ijinfomgt.2023.102642
• Egger, M., Dickersin, K. & Smith, G. D. (2008). Problems and limitations in conducting systematic reviews. In M. Egger, G. D. Smith & D. Altman (Eds.), Systematic Reviews in Health Care: Meta-Analysis in Context (pp. 43-68). Wiley. https://doi.org/10.1002/9780470693926.ch3
• Elliot, V. (2022). Foundations of Educational Research. Bloomsbury Publishing.
• Emenike, M. E., & Emenike, B. U. (2023). Was This Title Generated by ChatGPT? Considerations for Artificial Intelligence Text-Generation Software Programs for Chemists and Chemistry Educators. Journal of Chemical Education. https://doi.org/10.1021/acs.jchemed.3c00063
• Farrokhnia, M., Banihashem, S. K., Noroozi, O. & Wals, A. (2023). A SWOT Analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2023.2195846
• Fergus, S., Botha, M., & Ostovar, M. (2023). Evaluating Academic Answers Generated Using ChatGPT. Journal of Chemical Education. https://doi.org/10.1021/acs.jchemed.3c00087
• Fernández, A., Gómez, B., Binjaku, K., & Meçe, E. K. (2023). Digital transformation initiatives in higher education institutions: A multivocal literature review. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11544-0
• Galvez, C. (2018). Co-word analysis applied to highly cited papers in Library and Information Science (2017-2017). Transinformacao, 30(3), 277-286. https://doi.org/10.1590/2318-08892018000300001
• Gellai, D. B. (2022). Enterprising Academics: Heterarchical Policy Networks for Artificial Intelligence in British Higher Education. ECNU Review of Education. https://doi.org/10.1177/20965311221143798
• Ghnemat, R., Shaout, A., & Al-Sowi, A. M. (2022). Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework. International Journal of Emerging Technologies in Learning, 17(19), 224–241. https://doi.org/10.3991/ijet.v17i19.33309
• González-Calatayud, V., Prendes-Espinosa, P. & Riog-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467
• Graf, A., & Bernardi, R. E. (2023). ChatGPT in Research: Balancing Ethics, Transparency and Advancement. Neuroscience, 515, 71–73. https://doi.org/10.1016/j.neuroscience.2023.02.008
• Gupta, P., & Yadav, S. (2022). A TAM-based Study on the ICT Usage by the Academicians in Higher Educational Institutions of Delhi NCR. Lecture Notes on Data Engineering and Communications Technologies, 111, 329–353. https://doi.org/10.1007/978-981-16-9113-3_25
• Gupta, S. & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98-108. https://aisel.aisnet.org/jise/vol33/iss1/11
• Henry, J. V, & Oliver, M. (2022). Who Will Watch the Watchmen? The Ethico-political Arrangements of Algorithmic Proctoring for Academic Integrity. Postdigital Science and Education, 4(2), 330–353. https://doi.org/10.1007/s42438-021-00273-1
• Heugh, K., French, M., Arya, V., Pham, M., Tudini, V., Billinghurst, N., Tippett, N., Chang, L.-C., Nichols, J., & Viljoen, J.-M. (2022). Multilingualism, translanguaging and transknowledging: Translation technology in EMI higher education. AILA Review, 35(1), 89–127. https://doi.org/10.1075/aila.22011.heu
• Hodgson, D., Goldingay, S., Boddy, J., Nipperess, S., & Watts, L. (2022). Problematising Artificial Intelligence in Social Work Education: Challenges, Issues and Possibilities. British Journal of Social Work, 52(4), 1878–1895. https://doi.org/10.1093/bjsw/bcab168
• Hooda, M., Rana, C., Dahiya, O., Rizwan, A., & Hossain, M. S. (2022). Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/5215722
• Hurlburt, G., & Reisman, S. (2023). The Importance of Educating Computational Educators. Computer, 56(3), 131–134. https://doi.org/10.1109/MC.2023.3235097
• Iskender, A. (2023). Holy or Unholy? Interview with Open AI’s ChatGPT. European Journal of Tourism Research, 34. https://doi.org/10.54055/ejtr.v34i.3169
• Jiao, P., Ouyang, F., Zhang, Q., & Alavi, A. H. (2022). Artificial intelligence-enabled prediction model of student academic performance in online engineering education. Artificial Intelligence Review, 55(8), 6321–6344. https://doi.org/10.1007/s10462-022-10155-y
• Johinke, R., Cummings, R., & Di Lauro, F. (2023). Reclaiming the technology of higher education for teaching digital writing in a post—pandemic world. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.01
• Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605–607. https://doi.org/10.12669/pjms.39.2.7653
• King, M. R. (2023). A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education. Cellular and Molecular Bioengineering, 16(1), 1–2. https://doi.org/10.1007/s12195-022-00754-8
• Koo, M. (2023). Harnessing the potential of chatbots in education: The need for guidelines to their ethical use. Nurse Education in Practice, 68. https://doi.org/10.1016/j.nepr.2023.103590
• Kris, A., Nailer, C., Jansen, K. & Potocnjak-Oxman, C. (2021). Teaching-practice as a critical bridge for narrowing the research-practice gap. Industrial Marketing Management, 92, 254-266. https://doi.org/10.1016/j.indmarman.2020.02.017
• Lasagabaster, D. (2022). English-Medium Instruction in Higher Education. Cambridge University Press.
• Latif, G., Alghazo, R., Pilotti, M. A. E., & Ben Brahim, G. (2022). Identifying ‘At-Risk’ Students: An AI-based Prediction Approach. International Journal of Computing and Digital Systems, 11(1), 1051–1059. https://doi.org/10.12785/ijcds/110184
• 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. International Journal of Management Education, 21(2). https://doi.org/10.1016/j.ijme.2023.100790
• Liu, L., Subbareddy, R., & Raghavendra, C. G. (2022). AI Intelligence Chatbot to Improve Students Learning in the Higher Education Platform. Journal of Interconnection Networks, 22. https://doi.org/10.1142/S0219265921430325
• Lubienski, C. Conclusion: The future of research use? In J. Malin & C. Brown (Eds.), The Role of Knowledge Brokers in Education (pp. 201-212). Routledge.
• Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24750
• Ma, X. (2022). English Teaching in Artificial Intelligence-based Higher Vocational Education Using Machine Learning Techniques for Students’ Feedback Analysis and Course Selection Recommendation. Journal of Universal Computer Science, 28(9), 898–915. https://doi.org/10.3897/jucs.94160
• Macaro, E. (2019). Systematic reviews in applied linguistics. In J. McKinley & H. Rose (Eds.), The Routledge Handbook of Research Methods in Applied Linguistics (pp. 228-237). http://dx.doi.org/10.4324/9780367824471-20
• Macaro, E. (2022). English medium instruction: What do we know so far and what do we still need to find out? Language Teaching, 55, 533-546. https://doi.org/10.1017/S0261444822000052
• Macaro, E., Curle, S., Pun, J., An, J. & Dearden, J. (2018). A systematic review of English medium instruction in higher education. Language Teaching, 51, 36-76. https://doi.org/10.1017/S0261444817000350
• Martín-Núñez, J. L., Ar, A. Y., Fernández, R. P., Abbas, A., & Radovanović, D. (2023). Does intrinsic motivation mediate perceived artificial intelligence (AI) learning and computational thinking of students during the COVID-19 pandemic? Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100128
• Martín-Ramallal, P., Merchán-Murillo, A., & Ruiz-Mondaza, M. (2022). Virtual trainers with artificial intelligence: levels of acceptance among university students. Educar, 58(2), 427–442. https://doi.org/10.5565/rev/educar.1482
• Masters, K. (2023). Ethical use of artificial intelligence in health professions education: AMEE Guide No.158. Medical Teacher. https://doi.org/10.1080/0142159X.2023.2186203
• Miltra, S. (2023). Performing a literature review: An overview. Galaxy International Interdisciplinary Research Journal, 11(3), 184-190. Retrieved from https://giirj.com/index.php/giirj/article/view/4810
• Morreel, S., Mathysen, D., & Verhoeven, V. (2023). Aye, AI! ChatGPT passes multiple-choice family medicine exam. Medical Teacher. https://doi.org/10.1080/0142159X.2023.2187684
• Nagy, M., & Molontay, R. (2023). Interpretable Dropout Prediction: Towards XAI-Based Personalized Intervention. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00331-8
• Odden, T. O. B., Lauvland, A., Bøe, M. V, & Henriksen, E. K. (2023). Implementing the learning assistant model in European higher education. European Journal of Physics, 44(3). https://doi.org/10.1088/1361-6404/acb39e
• Ouyang, F., Zheng, L. & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies, 27, 7893-7925. https://doi.org/10.1007/s10639-022-10925-9
• Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S. . . . Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906, Article 105906. https://doi.org/10.1016/j.ijsu.2021.105906
• Palatinus, D. L. (2017). Humans, machines and the screen of the Anthropocene. Americana E-Journal of American Studies in Hungary, XIII(2). Retrieved from: http://americanaejournal.hu/vol13no2/palatinus
• Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.07
• Quezada Castro, G. A., Castro Arellano, M. P., & Quezada Castro, M. P. (2022). Artificial intelligence and legal education: Its incorporation during the Covid-19 pandemic. Revista Venezolana de Gerencia, 27(8), 750–764. https://doi.org/10.52080/rvgluz.27.8.2
• Rahman, A. (2022). Mapping the Efficacy of Artificial Intelligence-based Online Proctored Examination (OPE) in Higher Education during COVID-19: Evidence from Assam, India. International Journal of Learning, Teaching and Educational Research, 21(9), 76–94. https://doi.org/10.26803/ijlter.21.9.5
• Ramo, R. M., Alshaher, A. A., & Al-Fakhry, N. A. (2022). The Effect of Using Artificial Intelligence on Learning Performance in Iraq: The Dual Factor Theory Perspective. Ingenierie Des Systemes d’Information, 27(2), 255–265. https://doi.org/10.18280/isi.270209
• Razia, B., Awwad, B., & Taqi, N. (2022). The relationship between artificial intelligence (AI) and its aspects in higher education. Development and Learning in Organizations. https://doi.org/10.1108/DLO-04-2022-0074
• Rycroft-Smith, L. (2022). Knowledge brokering to bridge the research-practice gap in education: Where are we now? Review of Education, 10(1), e3341. https://doi.org/10.1002/rev3.3341
• Saad, I., & Tounkara, T. (2023). Artificial intelligence-based group decision making to improve knowledge transfer: the case of distance learning in higher education. Journal of Decision Systems. https://doi.org/10.1080/12460125.2022.2161734
• Sadasivan, V. S., Kumar, A., Balasubramanian, S., Wang, W., & Feizi, S. (2023). Can AI-Generated Text be Reliably Detected?. arXiv preprint arXiv:2303.11156. https://doi.org/10.48550/arXiv.2303.11156
• Sailer, M., Bauer, E., Hofmann, R., Kiesewetter, J., Glas, J., Gurevych, I., & Fischer, F. (2023). Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning. Learning and Instruction, 83. https://doi.org/10.1016/j.learninstruc.2022.101620
• Sharadgah, T. A., & Sa’di, R. A. (2022). A systematic review of research on the use of artificial intelligence in english language teaching and learning (2015-2021): What are the current effects? Journal of Information Technology Education: Research, 21, 337–377. https://doi.org/10.28945/4999
• Singh, S. V, & Hiran, K. K. (2022). The Impact of AI on Teaching and Learning in Higher Education Technology. Journal of Higher Education Theory and Practice, 22(13), 135–148. https://doi.org/10.33423/jhetp.v22i13.5514
• Subirats, L., Corral, A. P., Pérez-Ruiz, S., Fort, S., & Sacha, G.-M. (2023). Temporal analysis of academic performance in higher education before, during and after COVID-19 confinement using artificial intelligence. PLoS ONE, 18(2 February). https://doi.org/10.1371/journal.pone.0282306
• Tian, X. (2022). Exploring Intelligent Teaching for Teachers of Ideology and Politics in the Context of Artificial Intelligence. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/7423038
• 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). https://doi.org/10.1186/s40561-023-00237-x
• Urtasun, A. (2022). Empowering undergraduates through machine learning. Industry and Higher Education. https://doi.org/10.1177/09504222221124498
• Wang, Y. (2022). Analysis on the Particularity of Higher Education Subject Development under the Background of Artificial Intelligence. International Transactions on Electrical Energy Systems, 2022. https://doi.org/10.1155/2022/8109117
• Xia, X., & Li, X. (2022). Artificial Intelligence for Higher Education Development and Teaching Skills. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/7614337
• Yang, T.-C. (2023). Application of Artificial Intelligence Techniques in Analysis and Assessment of Digital Competence in University Courses. Educational Technology and Society, 26(1), 232–243. https://doi.org/10.30191/ETS.202301_26(1).0017
• Yao, X. (2022). Design and Research of Artificial Intelligence in Multimedia Intelligent Question-Answering System and Self-Test System. Advances in Multimedia, 2022. https://doi.org/10.1155/2022/2156111
• Yeo, M. A. (2023). Academic integrity in the age of Artificial Intelligence (AI) authoring apps. TESOL Journal. https://doi.org/10.1002/tesj.716
• Yildirim-Erbasli, S. N., & Bulut, O. (2023). Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100135
• 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 in Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0
• Zembylas, M. (2023). A decolonial approach to AI in higher education teaching and learning: strategies for undoing the ethics of digital neocolonialism. Learning, Media and Technology, 48(1), 25–37. https://doi.org/10.1080/17439884.2021.2010094
• Zhang, F. (2022). Design and Application of Artificial Intelligence Technology-Driven Education and Teaching System in Universities. Computational and Mathematical Methods in Medicine, 2022. https://doi.org/10.1155/2022/8503239
• Zhou, C. (2022). Integration of modern technologies in higher education on the example of artificial intelligence use. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11309-9