Application of AI in Sustainable Teaching and Learning
Abstract
Technology today has crossed all its restrictive barriers and has become a helping-hand to all the people of different walks of life. Artificial Intelligence has become a new wave of the growing technology in the world. Not only artificial intelligence has helped in creating amazing robots, but also it has paved its way to teaching and learning. This paper aims to highlight the importance and emergence of using artificial intelligence in today’s education system. How the effective applications of artificial intelligence affect the current teaching and learning and why it is more effective than the current technologies used for teaching in schools is all explained here.
How to cite this article:
Gupta ADP. Application of AI in Sustainable Teaching and Learning. J Adv Res Appl Arti Intel Neural Netw 2020; 4(1): 17-20.
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3. Bengio, Y., Courville, A., Vincent, P., Seliya, N., Wald, R., Muharemagic, E., Mu, J.(2013). Representation Learning: A Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/TPAMI.2013.50 Billings, M. E., Lazarus, M. E., Wenrich, M., Curtis, J. R., &Engelberg, R. A. (2011). The Effect of the Hidden Curriculum on Resident Burnout and Cynicism. Journal of Graduate Medical Education. https://doi.org/10.4300/JGME-D-11- 00044.1
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6. Drigas, A. S., &Ioannidou, R. E. (2013). A Review on Artificial Intelligence in Special Education. In Communications in Computer and Information Science. https://doi.org/10.1007/978-3-642-35879-1_46.
7. Elsayed, N., Thomas, B., Marriott, K., Piantadosi, J., & Smith, R. (2015). Situated Analytics. In 2015 Big Data Visual Analytics, BDVA 2015. https://doi.org/10.1109/BDVA.2015.7314302
8. Ferguson, R., Clow, D., Beale, R., Cooper, A. J., Morris, N., Bayne, S., & Woodgate, A. (2015). Moving through MOOCS: Pedagogy, learning design and Patterns of Engagement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-319-24258-3_6 Gal, Y. (2016). Uncertainty in Deep Learning. PhD Thesis. https://doi.org/10.1371/journal.pcbi.1005062
9. Hayes, S. (2015). MOOCs and Quality: A Review of the Recent Literature. QAA MOOCs Network.
10. Hillier, J. (2015). Performances and perform activities of resilience. In Evolutionary Governance Theory: Theory and Applications. /978-3-319-12274-8_12
11. Kelley, T. R., Knowles, J. G., Abell, S., Lederman, N.,
Bandura, A., Bandura, A., Williams, D. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education. https://doi.org/10.1186/s40594-016-0046-z.
12. Kena, G., Musu-Gillette, L., Robinson, J., Wang, X., Rathbun, A., Zhang, J., Velez, E. D. (2015). The Condition of Education 2015. U.S. Department of Education, National Center for Education Statistics. https://doi.org/10.4135/9781412963916.n394
Published
2021-09-30
How to Cite
GUPTA, Aarti Dwaraka Prasad.
Application of AI in Sustainable Teaching and Learning.
Journal of Advanced Research in Applied Artificial Intelligence and Neural Network, [S.l.], v. 4, n. 1, p. 17-20, sep. 2021.
Available at: <http://thejournalshouse.com/index.php/neural-network-intelligence-adr/article/view/363>. Date accessed: 22 dec. 2024.
