AI in Education
Practical information:
This training aims to highlight the potential of AI in education by combining academic insights with practical examples.
The training contains 4 modules:
- The Relationship between AI and Education
We explain the broad spectrum of AI and its applications, viewed from a pedagogical perspective. Additionally, we provide a brief overview of the history of AI in education, emphasizing the differences between ‘Good Old-Fashioned Artificial Intelligence’ and ‘Machine Learning’. - The black box of AI: all about data
In this module, we’ll explore which data types are typically collected in AI tools and how they each contribute to adaptive learning. - Challenges of AI in Education
AI does not come without its challenges: technically, ethically, but also on the implementational level. How do we keep these in mind while also considering various stakeholders within a complex educational network? - Tinkering with AI in Education
Are you an AI enthusiast or sceptic? We explore how to best navigate AI trends and hypes in education and examine how AI can enhance education by serving as a useful tool for teachers and students. Practical guidelines and insights are provided for a responsible and meaningful integration of AI in education.
Discover also:
AI in education: between ethics, detection and innovation
How should education deal with new AI technology like ChatGPT? Ban it, allow it freely or is there a golden mean to look for? And what should students do with teachers who don't know either? Ann Fastré (itec KU Leuven) describes a real-life quest, and concludes that learning is the solution!