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Critical Learning in the Age of AI
Interdisciplinary Studies Program
Amsterdam, Netherlands
Dates: early Jul 2027 - early Aug 2027
Critical Learning in the Age of AI
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Computer Sciences
Instruction in: English
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 48
DESCRIPTION
Generative Artificial Intelligence (GenAI) is transforming how you read, write, and learn. In this intensive two-week course, you explore how tools like ChatGPT, Claude, and Gemini shape your academic practice while challenging ideas of understanding, authorship, and integrity. You examine how AI systems work, analyze AI-generated content for bias and misinformation, and apply learning, cognitive, and ethical theories to real study situations. Through discussions and workshops, you develop a Personal Education Plan (PEP) to guide responsible, independent, and meaningful learning in an AI-rich university environment.
By the end of this course, students will be able to:
- Describe and explain how generative AI systems produce content and identify key features that distinguish AI-generated from human-generated work in academic settings.
- Map and analyse the main stakeholders involved in the creation, use, and regulation of generative AI in education, highlighting their roles and interests.
- Evaluate how generative AI influences key social and institutional contexts, such as universities, research, and media, and discuss implications for learning and academic integrity.
- Apply core principles of learning theory to assess how AI tools can support or hinder their own study practices.
- Analyse and reflect on their personal learning strengths and weaknesses using structured self-assessment activities.
- Design an intentional balance between human and AI-assisted learning by developing strategies for critical, ethical, and independent engagement with AI tools.
- Create and present a personal education plan (PEP) that demonstrates how to use generative AI responsibly to safeguard the quality and honesty of their academic learning
By the end of this course, students will be able to:
- Describe and explain how generative AI systems produce content and identify key features that distinguish AI-generated from human-generated work in academic settings.
- Map and analyse the main stakeholders involved in the creation, use, and regulation of generative AI in education, highlighting their roles and interests.
- Evaluate how generative AI influences key social and institutional contexts, such as universities, research, and media, and discuss implications for learning and academic integrity.
- Apply core principles of learning theory to assess how AI tools can support or hinder their own study practices.
- Analyse and reflect on their personal learning strengths and weaknesses using structured self-assessment activities.
- Design an intentional balance between human and AI-assisted learning by developing strategies for critical, ethical, and independent engagement with AI tools.
- Create and present a personal education plan (PEP) that demonstrates how to use generative AI responsibly to safeguard the quality and honesty of their academic learning