Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. Section 5: AI Readiness Checklist This section provides a comprehensive checklist design to help HE academics to assess their level of readiness in using AI for professional and pedagogical practices. Based on existing tools such as the Readiness Assessment for Faculty Members by the National Science Foundation and Association of Computing Machinery, and the AI Readiness Self-Assessment Tool, by the AI Education Project at Harvard University, this checklist aims to provide a comprehensive framework for educators to evaluate their understanding, skills, and preparedness to effectively Integrate AI Into their teaching, learning, and assessment processes. AI Readiness Checklist 1. AI Awareness and Understanding Criteria Yes No Comments Are you familiar with key AI concepts (e.g., machine learning, neural networks)? Do you understand how AI is influencing HE and your discipline? Have you explored AI-enhanced tools for teaching, assessment and learning? Do you recognise the ethical implications of AI in educational contexts (e.g., bias, fairness)? Are you aware of how AI can assist in research workflows (e.g., data analysis, automation)? Are you aware of the potential benefits and challenges of using AI In education? Can you identify examples of AI-powered educational tools and applications?
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