A Review Article – Facebook’s Meta AI: A Potential Boon or Doom for Learning?
DOI:
https://doi.org/10.54536/ijm.v3i1.3845Keywords:
Artificial intelligence, Education, Meta AIAbstract
Artificial intelligence (AI) tools have made significant leaps in various sectors, including education. Recently, Facebook released its latest open-source AI platform called the Meta AI, which may offer unique and endless opportunities for educators and students to automate content creation, enhance language processing, and facilitate interactive learning. This review investigates the possible impact of meta-AI on higher education, including its potential benefits and challenges. It highlighted versatility, capabilities, and accuracy, making it particularly useful for research and science subjects. However, it also emphasizes the risks associated with limited accessibility, steep learning curve, ethical and privacy concerns, and over-reliance, which can hinder student learning and deepen educational inequality. Considering these findings, this paper calls for broader and equitable access to technology, provides comprehensive training and support, establishes clear data protection policies, and a responsible and balanced approach to the use of this platform to maximize the benefit. In conclusion, Facebook’s Meta AI holds the potential to revolutionize the teaching and learning experience in the education sector, but challenges must be considered and must be addressed to ensure inclusivity and safeguarding privacy, ultimately determining whether its integration will be a boon or a doom.
References
Arielle, C. (2024, April 30). How to use Meta AI on Instagram and Facebook: Complete guide. Outsourcing Angel. https://outsourcingangel.com/how-to-use-meta-ai-on-instagram-and-facebook/
Ayeni, O. O., Al Hamad, N. M., Chisom, O. N., Osawaru, B., & Adewusi, O. E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), 261-271. https://doi.org/10.30574/gscarr.2024.18.2.0062
Barrot, J. S. (2022). Social media as a language learning environment: a systematic review of the literature (2008-2019). Computer assisted language learning, 35(9), 2534-2562. https://doi.org/10.1080/09588221.2021.1883673
Blauth, T. F., Gstrein, O. J., & Zwitter, A. (2022). Artificial intelligence crime: An overview of malicious use and abuse of AI. IEEE Access, 10, 77110-77122. https://doi.org/10.1109/ACCESS.2022.3191790
Booc, N. B., Sobremisana, K. H. R. I. S. N. A., Ybañez, A. N. G. I. E., Tolosa, R. O. W. E. N. A., Ladroma, S. M., & Caparoso, K. M. (2023). Artificial intelligence-powered calculator application usage in mathematics summative assessments. Iconic Research and Engineering Journal, 6(10), 446-474.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.46793/TIE22.223K
Chen, X., Xie, H., & Hwang, G. J. (2020). A multi-perspective study on artificial intelligence in education: Grants, conferences, journals, software tools, institutions, and researchers. Computers and Education: Artificial Intelligence, 1, 100005. https://doi.org/10.1016/j.caeai.2020.100005
Chubb, J., Cowling, P., & Reed, D. (2022). Speeding up to keep up: exploring the use of AI in the research process. AI & society, 37(4), 1439-1457. https://doi.org/10.1007/s00146-021-01259-0
Feng, M., Xia, A., & Xia, X. (2023, December). The Association Between ChatGPT Usage and College Students’ Online Learning Burnout: The Mediating Role of Self-Control. In 2023 Twelfth International Conference of Educational Innovation through Technology (EITT) (pp. 209-212). IEEE. https://doi.org/10.1109/EITT61659.2023.00046
Ferrer, X., Van Nuenen, T., Such, J. M., Coté, M., & Criado, N. (2021). Bias and discrimination in AI: a cross-disciplinary perspective. IEEE Technology and Society Magazine, 40(2), 72-80. https://doi.org/10.48550/arXiv.2008.07309
Fitria, T. N. (2021, December). Artificial intelligence (AI) in education: Using AI tools for teaching and learning process. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 4, No. 1, pp. 134-147).
Fosch-Villaronga, E., & Poulsen, A. (2022). Diversity and inclusion in artificial intelligence. In Law and artificial intelligence: Regulating AI and applying AI in legal practice (pp. 109-134).
Fyfe, P. (2023). How to cheat on your final paper: Assigning AI for student writing. AI & Society, 38(4), 1395-1405. https://doi.org/10.1007/s00146-022-01397-z
González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: A systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467
Gupta, R., Tanwar, S., Al-Turjman, F., Italiya, P., Nauman, A., & Kim, S. W. (2020). Smart contract privacy protection using AI in cyber-physical systems: Tools, techniques, and challenges. IEEE Access, 8, 24746-24772. https://doi.org/10.1109/ACCESS.2020.2970576
Hodgson, D., Goldingay, S., Boddy, J., Nipperess, S., & Watts, L. (2022). Problematising artificial intelligence in social work education: Challenges, issues and possibilities. The British Journal of Social Work, 52(4), 1878-1895. https://doi.org/10.1093/bjsw/bcab168
Ifelebuegu, A. (2023). Rethinking online assessment strategies: Authenticity versus AI chatbot intervention. Journal of Applied Learning and Teaching, 6(2). https://doi.org/10.37074/jalt.2023.6.2.2
Ifelebuegu, A. O., Kulume, P., & Cherukut, P. (2023). Chatbots and AI in Education (AIEd) tools: The good, the bad, and the ugly. Journal of Applied Learning and Teaching, 6(2). https://doi.org/10.37074/jalt.2023.6.2.29
Jeong, D. (2020). Artificial intelligence security threat, crime, and forensics: Taxonomy and open issues. IEEE Access, 8, 184560-184574. https://doi.org/10.1109/ACCESS.2020.3029280
Kim, J. H., Kim, J., Park, J., Kim, C., Jhang, J., & King, B. (2023). When ChatGPT gives incorrect answers: The impact of inaccurate information by generative AI on tourism decision-making. Journal of Travel Research. https://doi.org/10.1177/00472875231212996
Lainjo, B. (2020). The global social dynamics and inequalities of artificial intelligence. International Journal of Innovative Science, Research and Review, 5, 4966-4974. Available online at https://www.journalijisr.com/sites/default/files/issues-pdf/IJISRR-1306.pdf
Langenkamp, M., & Yue, D. N. (2022, July). How open source machine learning software shapes AI. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (pp. 385-395).
Li, H. (2023). AI in Education: Bridging the Divide or Widening the Gap? Exploring Equity, Opportunities, and Challenges in the Digital Age. Advances in Education, Humanities and Social Science Research, 8(1), 355-355. https://doi.org/10.56028/aehssr.8.1.355.2023
Luengo-Oroz, M., Bullock, J., Pham, K. H., Lam, C. S. N., & Luccioni, A. (2021). From artificial intelligence bias to inequality in the time of COVID-19. IEEE Technology and Society Magazine, 40(1), 71-79. https://doi.org/10.1109/MTS.2021.3056282
Mirjalili, S. (2024, August 1). Meta just launched the largest ‘open’ AI model in history. Here’s why it matters. The Conversation. https://theconversation.com/meta-just-launched-the-largest-open-ai-model-in-history-heres-why-it-matters-235689
Modley, E. (2024, July 6). MetaAI Review – Brand New “Meta AI” App Automates Viral Trending Content Across All Social media While Making Us A Passive Profit in 30 Seconds! https://www.linkedin.com/pulse/metai-review-brand-new-meta-ai-app-automates-viral-trending-essex-xqwgf
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(6), 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., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Prasanth, M. (2024, August 2). Meta AI’s Llama: A closer look at its advantages, drawbacks, and accuracy. LinkedIn. https://www.linkedin.com/pulse/meta-ais-llama-closer-look-its-advantages-drawbacks-accuracy-m-iakoc/
Priya, P. (2024, October 9). Meta lauches AI-edited videos Ads on Facebook and Instagram. https://www.financialexpress.com/life/technology-meta-launches-ai-edited-video-ads-on-facebook-and-instagram-3635394/
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. https://doi.org/10.3390/su151511524
Sapci, A. H., & Sapci, H. A. (2020). Artificial intelligence education and tools for medical and health informatics students: systematic review. JMIR Medical Education, 6(1), e19285. https://doi.org/10.2196/19285
Sidorkin, A. M. (2024). Embracing chatbots in higher education: The use of artificial intelligence in teaching, administration, and scholarship. Taylor & Francis. https://doi.org/10.4324/9781032686028
Spreitzer, C., Straser, O., Zehetmeier, S., & Maaß, K. (2024). Mathematical Modelling Abilities of Artificial Intelligence Tools: The Case of ChatGPT. Education Sciences, 14(7), 698. https://doi.org/10.3390/educsci14070698
Swargiary, K. (2024). The impact of ChatGPT on student learning outcomes: A comparative study of cognitive engagement, procrastination, and academic performance. SSRN. https://dx.doi.org/10.2139/ssrn.4914743
The Indian Express. (2024, August 2). Meta AI is fun, accessible, and free. Maybe it’s finally time to make AI chatbots part of your life. The Indian Express. https://indianexpress.com/article/technology/artificial-intelligence/meta-ai-on-whatsapp-is-fun-accessible-and-free-9425496/
Van Niekerk, D., Peréz-Ortiz, M., Shawe-Taylor, J., Orlic, D., Kay, J., Siegel, N., ... & Aneja, U. (2024). Challenging systematic prejudices: An investigation into bias against women and girls. International Research Centre in Artificial Intelligence (IRCAI). https://ircai.org/project/challenging-systematic-prejudices/
Williamson, S. M., & Prybutok, V. (2024). The Era of Artificial Intelligence Deception: Unraveling the Complexities of False Realities and Emerging Threats of Misinformation. Information, 15(6), 299. https://doi.org/10.3390/info15060299
Wood, A. (2024). Dark echoes. Psybersecurity: Human Factors of Cyber Defence, 90.
Wu, S. Y., & Yang, K. K. (2022). The effectiveness of teacher support for students’ learning of artificial intelligence popular science activities. Frontiers in Psychology, 13, 868623. https://doi.org/10.3389/fpsyg.2022.868623
Yousuf, M., & Wahid, A. (2021, November). The role of artificial intelligence in education: Current trends and future prospects. In 2021 International conference on information science and communications technologies (ICISCT) (pp. 1-7). IEEE.
Yu, H., Guo, Y., Yang, H., Zhang, W., & Dong, Y. (2024). Can ChatGPT Revolutionize Language Learning? Unveiling the Power of AI in Multilingual Education Through User Insights and Pedagogical Impact. European Journal of Education, e12749. https://doi.org/10.1111/ejed.12749
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542. https://doi.org/10.1155/2021/8812542
Zybaczynska, J., Norris, M., Modi, S., Brennan, J., Jhaveri, P., Craig, T. J., & Al-Shaikhly, T. (2024). Artificial Intelligence–Generated Scientific Literature: A Critical Appraisal. The Journal of Allergy and Clinical Immunology: In Practice, 12(1), 106-110. https://doi.org/10.1016/j.jaip.2023.10.010
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Glen Nolasco, John Dave Dicuangco

This work is licensed under a Creative Commons Attribution 4.0 International License.