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. Implications for practice N/A This section has provided a rich overview of the diverse applications and implications of AI tools in HEIs. Through thirtysix case studies, we explored how AI is transforming various aspects of teaching and learning, from automated assessment systems to fostering student engagement and critical thinking skills. The case studies highlight the potential of AI to: ● Enhance personalised learning experiences through realtime feedback and adaptive learning platforms. ● Improve assessment practices by automating tasks and providing objective evaluations. ● Streamline administrative processes, freeing up faculty time for more focused interactions with students. ● Equip students with essential skills for the future workforce, including data analysis and critical thinking. However, the case studies also acknowledge the challenges associated with AI integration in HEIs, including: ● Ensuring data privacy and security of student information. ● Mitigating potential biases inherent in AI algorithms. ● Maintaining academic integrity in an era of advanced content generation tools. ● Upskilling educators to effectively leverage AI technologies. Overall, this section underscores the transformative potential of AI in HE. As AI continues to evolve, HEIs have a crucial role to play in harnessing its power to create a more effective, engaging, and equitable learning environment for all students.
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