ºÚÁϳԹÏ×ÊÔ´

Objectives

The aim of the course is to equip participants with knowledge about historical, contemporary, theoretical, practical, and evaluative aspects of the use of artificial intelligence (AI) in learning contexts, including educational, professional, and everyday settings. Perspectives on the design, critiquing, evaluation and deployment of AI for Learning are also addressed. The course provides in-depth, cross-disciplinary coverage of the field of AI for Learning that is at the intersection of technology, human-computer interaction, education, psychology, philosophy, sociology, and law.

Content

The course covers a selection of central topics such as AI and learning, AI technologies (including genAI), AI governance, AI literacy, AI ethics, and future directions. The course encourages critical thinking about the technological, pedagogical, market, ethical, social, and legal implications of AI in learning contexts, equipping participants with the ability to reflect on its responsible use.

Upon completion of the course, the student will have the following learning outcomes:

Knowledge

The student can:

• explain the theoretical foundations underlying the use of AI for learning in professional, and everyday learning contexts
• recognise ethical and privacy considerations in the application of AI for learning

Skills

The student can:

• apply knowledge to the planning, design, critiquing, deployment, and evaluation of AI for learning in various contexts
• participate in interdisciplinary teams evaluating AI systems for learning

General competencies

The student can:

• work effectively in interdisciplinary teams
• participate in discussions on the role of AI for learning in various contexts