Historical threads, missing links, and future directions in AI in education

By Ben Williamson, Rebecca Eynon. 2020

631 citations recorded by the source corpus.

Subfields: Computer Science Applications

View Paper: https://www.semanticscholar.org/paper/5525eae9572b97a27b79b930d04ea49062f69b68

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Jiahong Su
2. Davy Tsz Kit Ng
3. S. K. Chu
4. Jac Ka Lok Leung
5. R. Ng
6. Ido Roll
7. Daniel S. Schiff

Citations in the corpus

• Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, background): “To develop teachers’ competencies to adapt AI-driven teaching and learning tools and approaches, educators need to timely update their skills and knowledge so as to create suitable learning environments for their students (Williamson & Eynon, 2020).”
• The impact of artificial intelligence on learner–instructor interaction in online learning (2021, background): “Although several ethical frameworks and professional codes of conduct have been developed to mitigate the potential dangers and risks of AI in education, significant debates continue about their specific impact on students and instructors (Williamson & Eynon, 2020).”
• Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, background): “Both methods are drawn from educational technology research, promote participatory design (Williamson and Eynon, 2020), and recognize the need to move beyond basic research and pilot projects to implementation in real-world settings.”
• Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot (2023, neutral): “…the potentials of using AI for learning, but still have not clearly showed its scienti fi c impact on learning, particularly in school education (Williamson & Eynon, 2020), for example, chat-bots as an AI technology was suggested to bene fi t motivated and/or high achieving students more…”
• Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? (2022, neutral): “Yet , goals about better, more just and inclusive decision-making have been intertwined with concerns about AI governance and exclusion (Ames, 2018; Williamson & Eynon, 2020).”