Data processing, data management and ethics in learning analytics (OPEN UNI)

​​After the course student:  

• Is aware of key ethical and privacy issues of artificial intelligence (AI) and learning analytics.  
• Can critically review AI and learning analytics applications in educational contexts from ethical and privacy perspectives and recognize risks and challenges.
• Knows different approaches to privacy and its importance for individual and society.
• Can reflect the benefits, challenges and risks of AI and learning analytics in broader educational and societal contexts.
• Can apply ethical principles and legal frameworks for evaluating AI and learning analytics applications.

Lectures and guided learning 22 hours, independent and group work 112 h, in total 134 h.

Study material consist of course lectures, timely scientific articles and other materials that will be announced in the begining of the course. 

online course

​​ Assessment methods and criteria: Active participation in online classes, completion and sharing of class assignments. Assessment of learning outcomes will be done based on the students’ course products and assignment that student produces during the course.  

​Accepted course completion requires a student to demonstrate his/her knowledge of common ethical and privacy issues related to AI and learning analytics. A student can identify benefits, challenges and risks of AI and learning analytics associated tools in educational context, and critically review their development and use in a broader societal context. Students can assess their own products critically and recognize their development needs. Students can demonstrate his/her knowledge through attendance and active participation in online class assignments and discussions, small group work and sharing of created products.

​In the case of failed course completion, a student hasn’t demonstrated his/her knowledge according to the course learning goals. Course products are incomplete, scattered and superficial. A student hasn’t demonstrated ones’ knowledge through course assignments and/or sharing the course products.