The field of education is in disarray due to the emergence of artificial intelligence (AI). There is a lot of disagreement in the education community over its value. The strengths, weaknesses, opportunities, and threats (SWOT) analysis of AI in education (AIED) was taken up as the study's objective in such a scattered condition. The research was directed by a single research question. The SWOT theoretical framework serves as the foundation for this study. The corpus of published literature was gathered from the Google Scholar database. Data shows that the use of AI in teaching and learning, as well as higher education, and early childhood education are areas where prior research has excelled (strengths). The structural/functional features of AI and its ethical applications are its main shortcomings (weaknesses) in AIED. There will likely be opportunities in teaching and learning, higher education, and other AI applications. The researcher’ attention is drawn to the ethical use of AI and its administrative ramifications (threats). A broad SWOT analysis of AIED was developed as a study output to help educational stakeholders and providers of AI services make well-informed decisions towards strategic management of education in harnessing the potentials of AIED. Lastly, suggestions have been extended for future approaches to the research challenge.
AlamA.MohantyA. (2022, November 18-20). Business models, business strategies, and innovations in EdTech companies: Integration of learning analytics and artificial intelligence in higher education. 2022 IEEE 6th Conference on Information and Communication Technology (CICT), Gwalior, India, 1–6. IEEE. https://doi.org/10.1109/CICT56698.2022.9997887
2.
AlonsoJ. M.CasalinoG. (2019, September 18). Explainable artificial intelligence for human-centric data analysis in virtual learning environments. In BurgosD., et al. (Ed.), International workshop on higher education learning methodologies and technologies online (pp. 125–138). Springer International Publishing.
3.
BailC. A. (2024). Can generative AI improve social science?Proceedings of the National Academy of Sciences, 121(21), e2314021121. https://doi.org/10.1073/pnas.2314021121
4.
BajajR.SharmaV. (2018). Smart education with artificial intelligence-based determination of learning styles. Procedia Computer Science, 132, 834–842. https://doi.org/10.1016/j.procs.2018.05.095
5.
BarakinaE. Y.PopovaA. V.GorokhovaS. S.VoskovskayaA. S. (2021). Digital technologies and artificial intelligence technologies in education. European Journal of Contemporary Education, 10(2), 285–296. https://doi.org/10.13187/ejced.2021.2.285
6.
BatesT.CoboC.MariñoO.WheelerS. (2020). Can artificial intelligence transform higher education?International Journal of Educational Technology in Higher Education, 17(1), 1–12. https://doi.org/10.1186/s41239-020-00218-x
7.
BeckerB. (2017). Artificial intelligence in education: What is it, where is it now, where is it going. Ireland’s Yearbook of Education, 2017-2018, 42–46. ISBN: 978-0-9956987-1-0.
8.
BhutoriaA. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068. https://doi.org/10.1016/j.caeai.2022.100068
9.
BirruA. C.SudarmiatinS.HermawanA. (2022). Competitive strategies in the lodging service sector: Five porter analyses and case study SWOT analysis. Journal of Business and Management Review, 3(1), 001–017. https://doi.org/10.47153/jbmr31.2732022
10.
BittencourtI. I.ChalcoG.SantosJ.FernandesS.SilvaJ.BatistaN.HutzC.IsotaniS. (2024). Positive artificial intelligence in education (P-AIED): A roadmap. International Journal of Artificial Intelligence in Education, 34(3), 732–792. https://doi.org/10.1007/s40593-023-00357-y
11.
Bucea-Manea-ȚonişR.KuletoV.GudeiS. C. D.LianuC.LianuC.IlićM. P.PăunD. (2022). Artificial intelligence potential in higher education institutions enhanced the learning environment in Romania and Serbia. Sustainability, 14(10), 5842. https://doi.org/10.3390/su14105842
12.
ChatterjeeS.BhattacharjeeK. K. (2020). Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modeling. Education and Information Technologies, 25, 3443–3463. https://doi.org/10.1007/s10639-020-10159-7
13.
ChenX.XieH.HwangG. 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
14.
ChenY.JensenS.AlbertL. J.GuptaS.LeeT. (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
15.
ChiuT. K. (2021). A holistic approach to the design of artificial intelligence (AI) education for K-12 schools. TechTrends, 65(5), 796–807. https://doi.org/10.1007/s11528-021-00637-1
16.
ChiuT. K.ChaiC. S. (2020). Sustainable curriculum planning for artificial intelligence education: A self-determination theory perspective. Sustainability, 12(14), 5568. https://doi.org/10.3390/su12145568
17.
ChockR. Y.MillerW. B.KingS. N. D.BrehmeC. S.FisherR. N.SinH.WilcoxP.TerpJ.TremorS.MajorM. R.MerrillK.SpencerW. D.SullivanS.ShierD. M. (2022). Quantitative SWOT analysis: A structured and collaborative approach to reintroduction site selection for the endangered pacific pocket mouse. Journal for Nature Conservation, 70, 126268. https://doi.org/10.1016/j.jnc.2022.126268
18.
CopeB.KalantzisM.SearsmithD. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732
19.
CoxA. M. (2021). Exploring the impact of artificial intelligence and robots on higher education through literature-based design fictions. International Journal of Educational Technology in Higher Education, 18(1), 3. https://doi.org/10.1186/s41239-020-00237-8
20.
CromptonH.SongD. (2021). The potential of artificial intelligence in higher education. Revista Virtual Universidad CatolicaDel Norte, 62, 1−4. https://doi.org/10.35575/rvucn.n62a1
21.
DevedzicV. (2004). Education and the semantic web. International Journal of Artificial Intelligence in Education, 14(2), 165–191. https://doi.org/10.3233/IRG-2004-14(2)02
22.
DimitriadouE.LanitisA. (2023). A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learning Environments, 10(1), 1–26. https://doi.org/10.1186/s40561-023-00231-3
23.
DoganM. E.Goru DoganT.BozkurtA. (2023). The use of artificial intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences, 13(5), 3056. https://doi.org/10.3390/app13053056
24.
EdwardsC.EdwardsA.SpenceP. R.LinX. (2018). I, teacher: Using artificial intelligence (AI) and social robots in communication and instruction. Communication Education, 67(4), 473–480. https://doi.org/10.1080/03634523.2018.1502459
25.
FarrokhniaM.BanihashemS. K.NorooziO.WalsA. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
26.
FreyC. B.OsborneM. A. (2017). The future of employment: How susceptible are jobs to computerization?Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
27.
GuanC.MouJ.JiangZ. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://doi.org/10.1016/j.ijis.2020.09.001
28.
HemachandranK.VermaP.PareekP.AroraN.Rajesh KumarK. V.AhangerT. A.PiseA. A.RatnaR. (2022). Artificial intelligence: a universal virtual tool to augment tutoring in higher education. Computational Intelligence and Neuroscience, 2022, 1−8. https://doi.org/10.1155/2022/1410448
29.
Hinojo-LucenaF. J.Aznar-DíazI.Cáceres-RecheM. P.Romero-RodríguezJ. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
30.
HolmesW.TuomiI. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. https://doi.org/10.1111/ejed.12533
31.
HumbleN.MozeliusP. (2019, October 31-November 1). Artificial intelligence in education—A promise, a threat, or a hype. In GriffithsP.KabirM. N. (Eds.), Proceedings of the European conference on the impact of artificial intelligence and robotics, EM-normandie business school Oxford, UK,ECIAIR.19.005 (pp. 149–156). Academic Conferences and Publishing International Limited.
32.
HwangG. J.TuY. F. (2021). Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584
33.
HwangG. J.XieH.WahB. W.GaševićD. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
34.
IlićM. P.PăunD.PopovićŠevićN.HadžićA.JianuA. (2021). Needs and performance analysis for changes in higher education and implementation of artificial intelligence, machine learning, and extended reality. Education Sciences, 11(10), 568. https://doi.org/10.3390/educsci11100568
35.
JaiswalA.ArunC. J. (2021). Potential of artificial intelligence for transformation of the education system in India. International Journal of Education and Development Using Information and Communication Technology, 17(1), 142–158. https://eric.ed.gov/?id=EJ1285526
36.
JoshiS.RambolaR. K.ChuriP. (2021, October 24-25). Evaluating artificial intelligence in education for next generation. Journal of Physics: Conference Series, 1714(1), 012039. https://doi.org/10.1088/1742-6596/1714/1/012039
KuletoV.IlićM.DumangiuM.RankovićM.MartinsO.PăunD.MihoreanuL. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. https://doi.org/10.3390/su131810424
42.
LamerasP.ArnabS. (2022). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), 14. https://doi.org/10.3390/info13010014
43.
LamposV.MintzJ.QuX. (2021). An artificial intelligence approach for selecting effective teacher communication strategies in autism education. npj Science of Learning, 6(1), 25. https://doi.org/10.1038/s41539-021-00102-x
44.
LearnedE. P.ChristiansenC. R.AndrewsK. R.GuthW. D. (1969). Business Policy: Text and Cases. Richard D Irwin Inc.
45.
LeosteJ.JõgiL.ÕunT.PastorL.San Martín LópezJ.GraubergI. (2021). Perceptions about the future of integrating emerging technologies into higher education—the case of robotics with artificial intelligence. Computers, 10(9), 110. https://doi.org/10.3390/computers10090110
46.
LiaoL.GuF. (2022). 5G and artificial intelligence interactive technology applied in preschool education courses. Wireless Communications and Mobile Computing, 2022, 1−12. https://doi.org/10.1155/2022/7629354
47.
LinP. Y.ChaiC. S.JongM. S. Y.DaiY.GuoY.QinJ. (2021). Modeling the structural relationship among primary students’ motivation to learn artificial intelligence. Computers and Education: Artificial Intelligence, 2, 100006. https://doi.org/10.1016/j.caeai.2020.100006
48.
LoftusM.MaddenM. G. (2020). A pedagogy of data and artificial intelligence for student subjectification. Teaching in Higher Education, 25(4), 456–475. https://doi.org/10.1080/13562517.2020.1748593
49.
LuanH.GeczyP.LaiH.GobertJ.YangS. J.OgataH.BaltesJ.GuerraR.LiP.TsaiC. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in Psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
50.
MartinhoV. R. D. C.NunesC.MinussiC. R. (2013, November 4-6). An intelligent system for prediction of school dropout risk group in higher education classroom based on artificial neural networks. 2013 IEEE 25th International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, 159-166. IEEE. https://doi.org/10.1109/ICTAI.2013.33
51.
McCarronR.FitzGeraldJ. M.SwannP.YangS.WraightS.ArendsF. (2024). A mixed-methods SWOT analysis of a medical student balint group programme. Medical Teacher, 46(1), 132–139. https://doi.org/10.1080/0142159X.2023.2239999
MeiteiA. J.RaiP.RajkishanS. S. (2025). Application of AI/ML techniques in achieving SDGs: A bibliometric study. Environment, Development and Sustainability, 27(1), 281–317. https://doi.org/10.1007/s10668-023-03935-1
54.
MishraR. (2019, February 4-6). Usage of data analytics and artificial intelligence in ensuring quality assurance at higher education institutions. 2019 Amity International Conference on Artificial Intelligence (AICAI), Dubai, United Arab Emirates. 1022–1025. IEEE. https://doi.org/10.1109/AICAI.2019.8701392
NagoevZ.NagoevaO.AnchokovM.BzhikhatlovK.KankulovS.EnesA. (2023). The symbol grounding problem in the system of general artificial intelligence based on multi-agent neurocognitive architecture. Cognitive Systems Research, 79, 71–84. https://doi.org/10.1016/j.cogsys.2023.01.002
57.
NazariN.ShabbirM. S.SetiawanR. (2021). Application of artificial intelligence powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014
58.
NemorinS.VlachidisA.AyerakwaH. M.AndriotisP. (2023). AI Hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38–51. https://doi.org/10.1080/17439884.2022.2095568
59.
OkewuE.AdewoleP.MisraS.MaskeliunasR.DamaseviciusR. (2021). Artificial neural networks for educational data mining in higher education: A systematic literature review. Applied Artificial Intelligence, 35(13), 983–1021. https://doi.org/10.1080/08839514.2021.1922847
60.
OnwubereC. H. (2019). Geospatial data and artificial intelligence technologies as innovative communication tools for quality education and lifelong learning. EJOTMAS: Ekpoma Journal of Theatre and Media Arts, 7(1-2), 50–71. https://doi.org/10.4314/ejotmas.v7i1-2.4
61.
OwocM. L.SawickaA.WeichbrothP. (2019, August 6). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In OwocM. L.PondelM. (Eds.), IFIP International workshop on artificial intelligence for knowledge management (pp. 37–58). Springer International Publishing.
62.
PaekS.KimN. (2021). Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability, 13(14), 7941. https://doi.org/10.3390/su13147941
63.
PenceH. E. (2019). Artificial intelligence in higher education: New wine in old wineskins?Journal of Educational Technology Systems, 48(1), 5–13. https://doi.org/10.1177/0047239519865577
64.
PeresR. S.JiaX.LeeJ.SunK.ColomboA. W.BarataJ. (2020). Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook. IEEE Access, 8, 220121–220139. https://doi.org/10.1109/ACCESS.2020.3042874
65.
PerrottaC.SelwynN. (2020). Deep learning goes to school: Toward a relational understanding of AI in education. Learning, Media and Technology, 45(3), 251–269. https://doi.org/10.1080/17439884.2020.1686017
66.
PikhartM. (2020). Intelligent information processing for language education: The use of artificial intelligence in language learning apps. Procedia Computer Science, 176, 1412–1419. https://doi.org/10.1016/j.procs.2020.09.151
67.
PopeniciS. A.KerrS. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 1–13. https://doi.org/10.1186/s41039-017-0062-8
RajamanogaranM.SubhaS.PriyaS. B.SivasamyJ. (2021, October 24-25). Contactless attendance management system using artificial intelligence. Journal of Physics: Conference Series, 1714(1), 1–7. Goa, India. 012006. IOP Publishing. https://doi.org/10.1088/1742-6596/1714/1/012006
RaneN.ShirkeS.ChoudharyS. P.RaneJ. (2024). Artificial intelligence in education: A SWOT analysis of ChatGPT and its impact on academic integrity and research. Journal of ELT Studies, 1(1), 16–35. https://doi.org/10.48185/jes.v1i1.1315
72.
RenzA.HilbigR. (2020). Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies. International Journal of Educational Technology in Higher Education, 17(1), 1–21. https://doi.org/10.1186/s41239-020-00193-3
73.
Rodríguez-HernándezC. F.MussoM.KyndtE.CascallarE. (2021). Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation. Computers and Education: Artificial Intelligence, 2, 100018. https://doi.org/10.1016/j.caeai.2021.100018
74.
RollI.WylieR. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26, 582–599. https://doi.org/10.1007/s40593-016-0110-3
75.
SahebT. (2023). Ethically contentious aspects of artificial intelligence surveillance: A social science perspective. AI and Ethics, 3(2), 369–379. https://doi.org/10.1007/s43681-022-00196-y
76.
Salas-PilcoS. Z.YangY. (2022). Artificial intelligence applications in Latin American higher education: A systematic review. International Journal of Educational Technology in Higher Education, 19(1), 1–20. https://doi.org/10.1186/s41239-022-00326-w
77.
SalhaS.MousaA.KhayatS. (2025). Artificial intelligence in education (AIED) policies in school context: A mixed approach research. Leadership and Policy in Schools, 24(1), 27–45. https://doi.org/10.1080/15700763.2024.2443675
78.
SargentC. S.KoohangA.FloydK.KilburnR. (2024). Artificial intelligence: Ethical concerns, trust, and risk. Issues in Information Systems, 25(2), 71–83. https://doi.org/10.48009/2_iis_2024_106
79.
SchäfferB.LiederF. R. (2023). Distributed interpretation – teaching reconstructive methods in the social sciences supported by artificial intelligence. Journal of Research on Technology in Education, 55(1), 111–124. https://doi.org/10.1080/15391523.2022.2148786
80.
SchiffD. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education. AI & Society, 36(1), 331–348. https://doi.org/10.1007/s00146-020-01033-8
81.
Shalini & TewariA. (2020, July 6-10). Sustainable education in India through artificial intelligence: Challenges and opportunities. Companion Publication of the 12th ACM Conference on Web Science, Southampton, United Kingdom. 41-47. https://doi.org/10.1145/3394332.3402828
82.
ShvardakM. (2021). SWOT-analysis as a strategic management tool of the quality training of the future educational institution head. Elementary Education Online, 20(1), 958–967. http://doi.org/10.17051/io.2015.85927
83.
SmuhaN. A. (2022). Pitfalls and pathways for trustworthy artificial intelligence in education. In HolmesW.Porayska-PomstaK. (Eds.), The ethics of artificial intelligence in education (pp. 113–145). Routledge.
84.
SuJ.NgD. T. K.ChuS. K. W. (2023). Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4, 100124. https://doi.org/10.1016/j.caeai.2023.100124
85.
SuJ.ZhongY. (2022). Artificial intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072. https://doi.org/10.1016/j.caeai.2022.100072
86.
TangC. (2021). Research on the difficulties and countermeasures of the practical teaching of ideological and political theory courses in colleges and universities based on wireless communication and artificial intelligence decision support. Wireless Communications and Mobile Computing, 2021, 1–7. https://doi.org/10.1155/2021/3229051
87.
TapalovaO.ZhiyenbayevaN. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of e-Learning, 20(5), 639–653. https://doi.org/10.34190/ejel.20.5.2597
88.
TedreM.ToivonenT.KahilaJ.VartiainenH.ValtonenT.JormanainenI.PearsA. (2021). Teaching machine learning in K–12 classroom: Pedagogical and technological trajectories for artificial intelligence education. IEEE Access, 9, 110558–110572. https://doi.org/10.1109/ACCESS.2021.3097962
89.
TliliA.SaqerK.SalhaS.HuangR. (2025). Investigating the effect of artificial intelligence in education (AIEd) on learning achievement: A meta-analysis and research synthesis. Information Development, 41(3), 825−842. https://doi.org/10.1177/02666669241304407
90.
van der VorstT.JelicicN. (2019). Artificial intelligence in education: Can AI bring the full potential of personalized learning to education? http://hdl.handle.net/10419/205222
91.
Van NoordtC.MisuracaG. (2022). Artificial intelligence for the public sector: Results of landscaping the use of AI in government across the European union. Government Information Quarterly, 39(3), 101714. https://doi.org/10.1016/j.giq.2022.101714
92.
Vázquez-CanoE. (2021). Artificial intelligence and education: A pedagogical challenge for the 21st century. Educational Process: International Journal (EDUPIJ), 10(3), 7–12. https://doi.org/10.22521/edupij.2021.103.1
93.
Vincent-LancrinS.Van der VliesR. (2020). Trustworthy artificial intelligence (AI) in education: Promises and challenges, OECD Education Working Papers, 218, OECD Publishing. https://doi.org/10.1787/a6c90fa9-en
94.
WagnerG.LukyanenkoR.ParéG. (2022). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209–226. https://doi.org/10.1177/02683962211048201
95.
WangY.LiuC.TuY. F. (2021). Factors affecting the adoption of AI-based applications in higher education: An analysis of teachers’ perspectives using structural equation modeling. Educational Technology & Society, 24(3), 116–129. https://doi.org/10.30191/ETS.202107_24(3).0009
96.
WenF.ZhangZ.HeT.LeeC. (2021). AI Enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove. Nature Communications, 12(1), 5378. https://doi.org/10.1038/s41467-021-25637-w
97.
WilliamsR.ParkH. W.OhL.BreazealC. (2019). Popbots: Designing an artificial intelligence curriculum for early childhood education. Proceedings of the AAAI Conference on Artificial Intelligence, 33(1), 9729–9736. https://doi.org/10.1609/aaai.v33i01.33019729
98.
WilliamsonB. (2020). New digital laboratories of experimental knowledge production: Artificial intelligence and education research. London Review of Education, 18(2), 209–220. https://doi.org/10.14324/LRE.18.2.05
99.
WuS.WangF. (2021). Artificial intelligence-based simulation research on the flipped classroom mode of listening and speaking teaching for English majors. Mobile Information Systems, 2021, 1–14. https://doi.org/10.1155/2021/4344244
100.
WulandariD.AdningM. (2018). Utilization of artificial intelligence model for mapping information and communication technology in education. International Symposium on Open, Distance, and E-Learning, 1(1), 55–61. https://doi.org/10.32550/pi.v1i1.25
101.
XiaZ.YueX.NiuF.HuZ. (2022). Prediction of higher education cost and analysis of sharing ability based on artificial neural network. Security and Communication Networks, 2022, 1–12.https://doi.org/10.1155/2022/7649918
102.
XuR.SunY.RenM.GuoS.PanR.LinH.SunL.HanX. (2024). AI For social science and social science of AI: A survey. Information Processing & Management, 61(3), 103665. https://doi.org/10.1016/j.ipm.2024.103665
103.
YangR. (2020). Artificial intelligence-based strategies for improving the teaching effect of art major courses in colleges. International Journal of Emerging Technologies in Learning (iJET), 15(22), 146–160. https://doi.org/10.3991/ijet.v15i22.18199
104.
YangW. (2022). Artificial intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3, 100061. https://doi.org/10.1016/j.caeai.2022.100061
105.
YangY. (2021). The potential energy of artificial intelligence technology in university education reform from the perspective of communication science. Mobile Information Systems, 2021, 1–7. https://doi.org/10.1155/2021/1057371
