Artificial intelligence in education: a systematic review
Main Article Content
Abstract
Numerous authors have written about the potential and threats that AI and tools like ChatGPT pose for education. This systematic review will address the following research question: What are the benefits and challenges of implementing artificial intelligence in the classroom? A search was conducted in the SCOPUS database on December 29 of 2023 and, after applying various filters and based on selection criteria, both developed in the study, 15 articles were selected. Subsequently, a table was created with data extracted from the articles based on the research question. Benefits: "Personalized Learning" (80%); "Instant and Personalized Feedback" (60%); "Efficiency" (53%); "Improvement of Academic Performance" (47%); "Equitable Access" (40%). Challenges: "Ethics and Privacy" (67%); "Teacher Training" (60%); "Bias and Disinformation" (53%); "Digital Divide" (47%); "Overdependence" (40%). What is clear is that while ChatGPT may contain factual inaccuracies and biases, it can enhance student learning. Consequently, academics should adapt teaching and assessment practices to embrace the new reality of living, working, and studying in a world where AI is freely available.
Downloads
Article Details
Issue
Section

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Miguel Hernández Communication Journal is an open access magazine. To publish on MHCJ, the authors accept the following terms:
- The authors will retain their copyright and guarantee the journal the right to first publish their work, which will be simultaneously subject to the Creative Commons Atribución/Reconocimiento-CompartirIgual 4.0 Internacional, which allows third parties share the work as long as its author and his first publication in this magazine are indicated.
- Authors may adopt other non-exclusive license agreements for the distribution of the version of the published work (eg, deposit it in an institutional telematic archive or publish it in a monographic volume) provided that the initial publication in this journal is indicated .
- Authors are allowed and recommended to disseminate their work through the Internet (e.g., in institutional telematic archives or on their website) before and during the submission process, which can produce interesting exchanges and increase citations. of the published work. (See The effect of open access).
- The document RESIGNATION OF PERCEPTION OF BENEFITS OF COPYRIGHT is intended for the print publication of MHCJ by the UNIVERSITAS publishing house. Both authors and publishers renounce the collection of economic benefits, if any, when the aforementioned publisher takes over the entire cost of printing, distribution and dissemination.
How to Cite
References
Ali, K., Barhom, N., Tamimi, F., & Duggal, M. (2023). ChatGPT—A double‐edged sword for healthcare education? Implications for assessments of dental students. European Journal of Dental Education
Cassidy, C. (2023). Lecturers detects bot-use in one fifth of assessments as concerns mount over AI in exams. The Guardian.
Cassidy, C. (2023). Universities to return to pen and paper exams after students caught using AI to write essays. The Guardian. https:// www. thegu ardian. com/ austr alia- news/ 2023/ jan/ 10/ unive rsiti es- to- return- to- pen- and- paper- exams- after- students- caught- using- ai- to- write- essays.
Cavendish, C. (2023). ChatGPT will force school exams out of the dark ages. Financial Times. https:// www. ft. com/ conte nt/ 41243091- d8d7- 4b74- 9ad1- 5341c 16c86 9f
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International journal of educational technology in higher education, 20(1), 38.
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?. arXiv preprint arXiv:2305.02878.
Chang, D. H., Lin, M. P. C., Hajian, S., & Wang, Q. Q. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability, 15(17), 12921.
Chiu, T. K. (2023). The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney. Interactive Learning Environments, 1-17.
Civil, B. (2023). ChatGPT can hinder students’ critical thinking skills: Artificial intelligence is changing how students learn to write. The Queen’s Journal.
Cotton, D., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148
De Vynck, G., & Tiku, N. (2023, March 21). Google’s catch-up game on AI continues with Bard launch. The Washington Post, https://www.washingtonpost.com/technology/2023/03/21/bard-google-ai/
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). Opinion Paper: “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, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642
Eager, B., & Brunton, R. (2023). Prompting higher education towards AI-augmented teaching and learning practice. Journal of University Teaching & Learning Practice, 20(5), 02.
García-Peñalvo, F. J. (2023). The perception of Artificial Intelligence in educational contexts after the launch of ChatGPT: Disruption or Panic?.
Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). When will AI exceed human performance? Evidence from AI experts. Journal of Artificial Intelligence Research, 62, 729-754.
Ilieva, G., Yankova, T., Klisarova-Belcheva, S., Dimitrov, A., Bratkov, M., & Angelov, D. (2023). Effects of Generative Chatbots in Higher Education. Information, 14(9), 492.
Intelligent. (2023, January 23). Nearly 1/3 college students have used ChatGPT on written assessments. Intelligent. https://www.intelligent.com/nearly-1-in-3-college-students-have-used-chatgpt-on-written-assignments/
Ismail, F., Tan, E., Rudolph, J., Crawford, J., & Tan, S. (2023). Artificial intelligence in higher education. A protocol paper for a systematic literature review. Journal of Applied Learning and Teaching, 6(2).
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.
Kefalaki, M., Diamantidaki, F., & Rudolph, J. (2022). Technology and education. Innovation and hindrances. Journal of Applied Learning & Teaching, 5(S1).
King, M. R. (2023). The future of AI in medicine: a perspective from a Chatbot. Annals of Biomedical Engineering, 51(2), 291-295.
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university language instructors: A case study. Computers and Education: Artificial Intelligence, 5, 100156.
Korn, J., & Kelly, S. (2023). New York City public schools ban access to AI tool that could help students cheat. CNN Business.
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & 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
Lacey, M. M., & Smith, D. P. (2023). Teaching and assessment of the future today: higher education and AI. Microbiology Australia, 44(3), 124-126.
Liu, D., Bridgeman, A., & Miller, B. (2023). As uni goes back, here’s how teachers and students can use ChatGPT to save time and improve learning. The Conversation, 28.
Moretz, S. M., Liberati, A., Tetroe, J., Antes, G., Bennett, K. G., Clarke, M., ... & Wolf, F. M. (2020). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 17(2), e1001316. doi: 10.1371/journal.pmed.1001316
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- progr ams- poten tial- peril
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).
Rudolph, J. (2018). A brief review of Mentimeter–A student response system. Journal of Applied Learning & Teaching, 1(1), 35-37.
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).
Rudolph, J., Tan, S., & Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning and Teaching, 6(1).
Sawahel, W. (2023, February 7). Embrace it or reject it? Academics disagree about ChatGPT. University World News. https://www.universityworldnews.com/post.php?story=20230207160059558
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2, 100004.
Sinhaliz, S., Burdjaco, Z., & Du Preez, J. (2023). How ChatGPT Could Revolutionize Academia. IEEE Spectrum. https:// spect rum.ieee.org/ how- chatg pt- could- revol ution ize- acade mia
Smith, B. (2023, February 2). Meeting the AI moment: Advancing the future through responsible AI. Microsoft, https://blogs.microsoft.com/on-the-issues/2023/02/02/responsible-ai-chatgpt-artificial-intelligence/
Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning.
van den Berg, G., & du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences, 13(10), 998.
Walczak, K., & Cellary, W. (2023). Challenges for higher education in the era of widespread access to Generative AI. Economics and Business Review, 9(2), 71-100.
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. Available at SSRN.
Weissman, J. (2023). ChatGPT is a plague upon education. Inside Higher Ed, 8.
Wodecki, B. (16 de enero de 2024). UBS: ChatGPT es la aplicación de más rápido crecimiento de todos los tiempos. Negocios de IA, https://aibusiness.com/nlp/ubs-chatgpt-is-the-fastest-growing-app-of-all-time
Wood, P. (2023). Oxford and Cambridge ban AI language tool GPT-3 over fears of plagiarism. inews. co. uk.
Yau, C., & Chan, K. (2023). University of Hong Kong temporarily bans students from using ChatGPT, other AI-based tools for coursework. South China Morning Post, 17.
Zhai, X. (2022). ChatGPT user experience: Implications for education. Available at SSRN 4312418