A review of AI teaching and learning from 2000 to 2020
By Davy Tsz Kit Ng, M. Lee, Roy Jun Yi Tan, Xiao Hu, J. Stephen Downie, S. K. Chu. Education and Information Technologies : Official Journal of the IFIP technical committee on Education, 2022
353 citations recorded by the source corpus.
Subfields: Computer Science Applications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/7d147d346ff84211f1b3c9f42e25e75efe382a05
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In Computer Science Applications
Citations in the corpus
- Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, methodology): “…learning environment, teachers may face a number of challenges such as technical difficulties in enabling students to use AI applications and compile algorithms (Vazhayil et al., 2019), as well as insufficient funding, immature AI curricula, lack of tools or evaluation methods (Ng et al., 2022c).”