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All issues Volume 68 (2024) ITM Web Conf., 68 (2024) 01008 References
Open Access
Issue
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
Article Number 01008
Number of page(s) 23
Section Engineering Technology & Management
DOI https://doi.org/10.1051/itmconf/20246801008
Published online 12 December 2024
  1. Anderson. J.R., Boyle, C. F., Corbett, A. T & Lewis, M.W (1990). Cognitive modeling and intelligent tutoring, Artificial Intelligence, 42 (1) (1990), pp. 7–49 [CrossRef] [Google Scholar]
  2. Baker. R, Ma. W, Zhao. Y, Wang. S, Ma. Z. (2020), “The Results of Implementing Zone of Proximal Development on Learning Outcomes”, Proceedings of the 13th International Conference on Educational Data Mining [Google Scholar]
  3. Bennett, Brandon & Galton, Antony P. (2004). “A unifying semantics for time and events,” Artificial Intelligence [Google Scholar]
  4. Castaneda, L & Selwyn, N (2018). More than tools? Making sense of the ongoing digitizations of higher education, International Journal of Educational Technology in Higher Education. [Google Scholar]
  5. Centre for Educational Research and Innovation (CERI) (1971), “Educational technology: The design and implementation of learning systems,” London: OECD. [Google Scholar]
  6. Chen, X., Xie, H & Jen Hwang, G (2020), A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers, Computer and Education : Artificial Intelligence. [Google Scholar]
  7. Chen, X., Xie, H & Jen Hwang, G (2020), Application and theory gaps during the rise of Artificial Intelligence. [Google Scholar]
  8. in Education, Computer and Education: Artificial Intelligence. [Google Scholar]
  9. Dark, R. E., & Estes, F. (1999), “The development of authentic educational technologies”, Educational Technology [Google Scholar]
  10. Dobbe R, Gilbert T.K & Mintz Y (2021), “Hard choices in artificial intelligence”, Artificial Intelligence [Google Scholar]
  11. Donato, R. (2000), “Socio-cultural contributions to understanding the foreign and second language classroom”, In J. P. Lantolf (Ed.), Socio-cultural theory and second language learning Oxford: Oxford University Press. [Google Scholar]
  12. Furze, T.A (2013), “The Application of Classical Conditioning to the Machine Learning of a Commonsense Knowledge of Visual Events”. [Google Scholar]
  13. Heise, E & Westermann, R (1989), “Anderson’s Theory of Cognitive Architecture (ACT*)”, Psychological Theories from a Structuralist Point of View [Google Scholar]
  14. Holmes. W, Bialik. M, Fadel. C (2019), “Promises and Implications for Teaching and Learning”, Artificial Intelligence in Education [Google Scholar]
  15. Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57, 542–570. [CrossRef] [Google Scholar]
  16. Magnusson, D., & Alien, V. L. (Eds.) (1983). “Human development. An interactional perspective,” New York: Academic Press. [Google Scholar]
  17. Matusov, E., & Hayes, R. (2000), “Socio-cultural critique of Piaget and Vygotsky” New Ideas in Psychology, Oxford: Pergamon. Sarkar IH (2021), “Machine Learning: Algorithms, Real-World Applications and Research Directions”, SN Computer Science. [Google Scholar]
  18. Mittelstadt, B (2019), Principles alone cannot guarantee ethical AI, Nat. Mach. Intel [Google Scholar]
  19. Mooij, T & Comber C (2004), Contextual learning theory and the design of software to optimise early education, “European Conference on Educational Research” (ECER). [Google Scholar]
  20. OECD (2018), “Education and AI: preparing for the future & AI, Attitudes and Values.” OECD Conference Centre, Paris, France. [Google Scholar]
  21. Ouyang. F & Jiao. P (2021). Artificial intelligence in education: The three paradigms, Computers and Education: Artificial Intelligence. [Google Scholar]
  22. Pathan H, Memon R.A, Memon S, Khoso, A.R & Bux, I (2018), “A Critical Review of Vygotsky’s Socio-Cultural Theory in Second Language Acquisition”, International Journal of English Linguistics [Google Scholar]
  23. UNESCO (2019), Artificial Intelligence in education: Challenges and opportunities for sustainable development, The United Nations Educational, Scientific and Cultural Organization (UNESCO), France [Google Scholar]
  24. Zawacki-Richter. O, Marin. V.I, Bond M & Gouverneur. F (2019), “Systematic review of research on artificial intelligence applications in higher education – where are the educators?”, International Journal of Educational Technology in Higher Education. [Google Scholar]
  25. Zhao J, Wu M, Zhou L, Wang X & Jia J (2022) “Cognitive psychology-based artificial intelligence review”, Front. Neurosci. 16:1024316. [CrossRef] [Google Scholar]
  26. Zhao Y, Zeng Y, Qiao G. Brain-inspired classical conditioning model. iScience. 2020 Dec 25;24(1):101980. doi: 10.1016/j.isci.2020.101980. [Google Scholar]

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