Should Robots Replace Teachers?: AI and the Future of Education
By Neil Selwyn. 2019
597 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/699cff95a1bd2e808ff1bf418d9209bab0c50a50
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Citations in the corpus
- Vision, challenges, roles and research issues of Artificial Intelligence in Education (2020, background): “There is an opend debate to extent robots can support teachers and even more radical proposals to replace teachers completely (Selwyn, 2019).”
- Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models (2023, background): “However, biased models may perpetuate disparities by favoring certain learning styles or cultural backgrounds, disadvantaging students from un-derrepresented or marginalized communities [124, 125].”
- Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, background): “Some teachers worry that AI could replace them (Selwyn, 2019), and they feel negative about relying on AI interpretation to understand students’ social interaction cues (Seo et al., 2021).”
- A Documentary Evaluation of Offline AI Integration in Teacher-in-a-Box OER Programmes for Low-Connectivity Schools (2026, unknown): “…but whether a constrained, governed offline AI layer can strengthen programme functions: improving local resource discoverability, supporting formative assessment routines, scaffolding educator assessment literacy, and assisting in the development of learning instruments and media [28], [29].”