Artificial Intelligence in STEM Education

William J. Triplett

Abstract


The study examined Artificial Intelligence in STEM Education research crucial role in facilitating personalized learning, advanced analytics, and instructional automation. The primary goal of this research is to explore the effectiveness of AI in advancing STEM education. The specific objectives include assessing the practical challenges in integrating AI, examining the efficiency of various AI-enabled pedagogical strategies, and evaluating the short-term and long-term impacts of AI utilization in STEM subjects. The outcomes of this study are expected to provide valuable insights that could benefit educators, curriculum developers, policymakers, and researchers. Additionally, the findings may contribute to the development of innovative strategies for effectively integrating AI into STEM education, thereby potentially enhancing students, learning outcomes


Keywords


Artificial Intelligence; Classrooms; STEM Education; Teachers; Technology

Full Text:

PDF

References


Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). IEEE.

Dignum, V. (2021). The role and challenges of education for responsible AI. London Review of Education, 19(1), 1-11.

Chng, E., Tan, A.L. and Tan, S.C., 2023. Examining the Use of Emerging Technologies in Schools: a Review of Artificial Intelligence and Immersive Technologies in STEM Education. Journal for STEM Education Research, pp.1-23.

Kumar, V. R., & Raman, R. (2022, March). Student Perceptions on Artificial Intelligence (AI) in higher education. In 2022 IEEE Integrated STEM Education Conference (ISEC) (pp. 450-454). IEEE.

Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of business research, 129, 911-926.

Triplett, W. J. (2023). Addressing Cybersecurity Challenges in Education. International Journal of STEM Education for Sustainability, 3(1), 47-67.

Triplett, W. J. (2022). Addressing human factors in cybersecurity leadership. Journal of Cybersecurity and Privacy, 2(3), 573-586.

Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1), 1-20.

Yannier, N., Hudson, S.E. & Koedinger, K.R. Active Learning is About More Than Hands-On: A Mixed-Reality AI System to Support STEM Education. Int J Artif Intell Educ 30, 74– 96 (2020). https://doi.org/10.1007/s40593-020-00194-3

Zawacki-Richter, O., Marín, 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, 16(1), 1-27.




DOI: https://doi.org/10.53889/citj.v1i1.296

Article Metrics

Abstract view : 1197 times
PDF - 734 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Cybersecurity and Innovative Technology Journal

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