Sage Journals: Discover world-class research

Abstract

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.

Keywords

artificial intelligence artificial intelligence in education educational technology SWOT analysis strategic management in education

Get full access to this article

View all access options for this article.

References

Alam

Mohanty

(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

Alonso

J. M.

Casalino

(2019, September 18). Explainable artificial intelligence for human-centric data analysis in virtual learning environments. In Burgos

, et al. (Ed.), International workshop on higher education learning methodologies and technologies online (pp. 125–138). Springer International Publishing.

Bail

C. 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

Bajaj

Sharma

(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

Barakina

E. Y.

Popova

A. V.

Gorokhova

S. S.

Voskovskaya

A. 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

Bates

Cobo

Mariño

Wheeler

(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

Becker

(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.

Bhutoria

(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

Birru

A. C.

Sudarmiatin

Hermawan

(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.

Bittencourt

I. I.

Chalco

Santos

Fernandes

Silva

Batista

Hutz

Isotani

(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-Țoniş

Kuleto

Gudei

S. C. D.

Lianu

Ilić

M. P.

Păun

(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.

Chatterjee

Bhattacharjee

K. 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.

Chen

Xie

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

14.

Chen

Jensen

Albert

L. J.

Gupta

Lee

(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.

Chiu

T. 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.

Chiu

T. K.

Chai

C. 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.

Chock

R. Y.

Miller

W. B.

King

S. N. D.

Brehme

C. S.

Fisher

R. N.

Sin

Wilcox

Terp

Tremor

Major

M. R.

Merrill

Spencer

W. D.

Sullivan

Shier

D. 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.

Cope

Kalantzis

Searsmith

(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.

Cox

A. 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.

Crompton

Song

(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.

Devedzic

(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.

Dimitriadou

Lanitis

(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.

Dogan

M. E.

Goru Dogan

Bozkurt

(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.

Edwards

Spence

P. R.

Lin

(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.

Farrokhnia

Banihashem

S. K.

Noroozi

Wals

(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.

Frey

C. B.

Osborne

M. 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.

Guan

Mou

Jiang

(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.

Hemachandran

Verma

Pareek

Arora

Rajesh Kumar

K. V.

Ahanger

T. A.

Pise

A. A.

Ratna

(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-Lucena

F. J.

Aznar-Díaz

Cáceres-Reche

M. P.

Romero-Rodríguez

J. 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.

Holmes

Tuomi

(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.

Humble

Mozelius

(2019, October 31-November 1). Artificial intelligence in education—A promise, a threat, or a hype. In Griffiths

Kabir

M. 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.

Hwang

G. J.

Y. 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.

Hwang

G. J.

Xie

Wah

B. W.

Gašević

(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.

Ilić

M. P.

Păun

PopovićŠević

Hadžić

Jianu

(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.

Jaiswal

Arun

C. 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.

Joshi

Rambola

R. K.

Churi

(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

37.

Keller

Baleis

Starke

Marcinkowski

(2019). Machine learning and artificial intelligence in higher education: A state-of-the-art report on the German University landscape. Heinrich-Heine-Universität Düsseldorf, 1–31. https://www.sozwiss.hhu.de/fileadmin/redaktion/Fakultaeten/Philosophische_Fakultaet/Sozialwissenschaften/Kommunikations-_und_Medienwissenschaft_I/Dateien/Keller_et_al.__2019__-_AI_in_Higher_Education.pdf

38.

Khosravi

Shum

S. B.

Chen

Conati

Tsai

Y. S.

Kay

Knight

Martinez-Maldonado

Sadiq

Gašević

(2022). Explainable artificial intelligence in education. Computers and Education: Artificial Intelligence, 3, 100074. https://doi.org/10.1016/j.caeai.2022.100074

39.

Kigar

P. J.

(2022, May 18). Going nowhere fast? Smart traffic lights can help ease gridlock. https://science.howstuffworks.com/engineering/civil/smart-traffic-lights-news.htm

40.

Knox

(2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 298–311. https://doi.org/10.1080/17439884.2020.1754236

41.

Kuleto

Ilić

Dumangiu

Ranković

Martins

Păun

Mihoreanu

(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.

Lameras

Arnab

(2022). Power to the teachers: An exploratory review on artificial intelligence in education. Information, 13(1), 14. https://doi.org/10.3390/info13010014

43.

Lampos

Mintz

(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.

Learned

E. P.

Christiansen

C. R.

Andrews

K. R.

Guth

W. D.

(1969). Business Policy: Text and Cases. Richard D Irwin Inc.

45.

Leoste

Jõgi

Õun

Pastor

San Martín López

Grauberg

(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.

Liao

(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.

Lin

P. Y.

Chai

C. S.

Jong

M. S. Y.

Dai

Guo

Qin

(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.

Loftus

Madden

M. 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.

Luan

Geczy

Lai

Gobert

Yang

S. J.

Ogata

Baltes

Guerra

Tsai

C. 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.

Martinho

V. R. D. C.

Nunes

Minussi

C. 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.

McCarron

FitzGerald

J. M.

Swann

Yang

Wraight

Arends

(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

52.

McKinsey & Company . (2018). Ask the AI experts: What's driving today's progress in AI? https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/ask-the-ai-experts-whats-driving-todays-progress-in-ai

53.

Meitei

A. J.

Rai

Rajkishan

S. 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.

Mishra

(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

55.

Morgenstern

(2016, June 25). Automation and anxiety. The Economist. https://web.archive.org/web/20180112214621/https://www.economist.com/news/special-report/21700758-will-smarter-machines-cause-mass-unemployment-automation-and-anxiety

56.

Nagoev

Nagoeva

Anchokov

Bzhikhatlov

Kankulov

Enes

(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.

Nazari

Shabbir

M. S.

Setiawan

(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.

Nemorin

Vlachidis

Ayerakwa

H. M.

Andriotis

(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.

Okewu

Adewole

Misra

Maskeliunas

Damasevicius

(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.

Onwubere

C. 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.

Owoc

M. L.

Sawicka

Weichbroth

(2019, August 6). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. In Owoc

M. L.

Pondel

(Eds.), IFIP International workshop on artificial intelligence for knowledge management (pp. 37–58). Springer International Publishing.

62.

Paek

Kim

(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.

Pence

H. 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.

Peres

R. S.

Jia

Lee

Sun

Colombo

A. W.

Barata

(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.

Perrotta

Selwyn

(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.

Pikhart

(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.

Popenici

S. A.

Kerr

(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

68.

Puyt

R. W.

Lie

F. B.

Wilderom

C. P.

(2023). The origins of SWOT analysis. Long Range Planning, 56(3), 102304. https://doi.org/10.1016/j.lrp.2023.102304

69.

Rajamanogaran

Subha

Priya

S. B.

Sivasamy

(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

70.

Rajasingham

(2009). The impact of artificial intelligence (AI) systems on future university paradigms. Victoria University of Wellington Wellington, New Zealand. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4b272b7bf8691a9bc0fedeea8c6bcfd2de89f890

71.

Rane

Shirke

Choudhary

S. P.

Rane

(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.

Renz

Hilbig

(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-Hernández

C. F.

Musso

Kyndt

Cascallar

(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.

Roll

Wylie

(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.

Saheb

(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-Pilco

S. Z.

Yang

(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.

Salha

Mousa

Khayat

(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.

Sargent

C. S.

Koohang

Floyd

Kilburn

(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.

Schäffer

Lieder

F. 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.

Schiff

(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 & Tewari

(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.

Shvardak

(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.

Smuha

N. A.

(2022). Pitfalls and pathways for trustworthy artificial intelligence in education. In Holmes

Porayska-Pomsta

(Eds.), The ethics of artificial intelligence in education (pp. 113–145). Routledge.

84.

D. T. K.

Chu

S. 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.

Zhong

(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.

Tang

(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.

Tapalova

Zhiyenbayeva

(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.

Tedre

Toivonen

Kahila

Vartiainen

Valtonen

Jormanainen

Pears

(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.

Tlili

Saqer

Salha

Huang

(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 Vorst

Jelicic

(2019). Artificial intelligence in education: Can AI bring the full potential of personalized learning to education? http://hdl.handle.net/10419/205222

91.

Van Noordt

Misuraca

(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-Cano

(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-Lancrin

Van der Vlies

(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.

Wagner

Lukyanenko

Paré

(2022). Artificial intelligence and the conduct of literature reviews. Journal of Information Technology, 37(2), 209–226. https://doi.org/10.1177/02683962211048201

95.

Wang

Liu

Y. 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.

Wen

Zhang

Lee

(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.

Williams

Park

H. W.

Breazeal

(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.

Williamson

(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.

Wang

(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.

Wulandari

Adning

(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.

Xia

Yue

Niu

(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.

Sun

Ren

Guo

Pan

Lin

Sun

Han

(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.

Yang

(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.

Yang

(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.

Yang

(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

Artificial Intelligence in Education: SWOT Analysis

Abstract

Keywords

Get full access to this article

References