Alexandra Farazouli Doktorand

I am interested in the role of Computer Science in Education and how digital technologies meet humanities. Through my research, I aim to further explore, map and explain the ethical considerations emerging from AI and Machine Learning applications in higher education. More specifically my Ph.D. research focus is on the ethics of emerging AI-driven technologies and their implications for educational practices and the different stakeholders in higher education.

My experience in Education and Computer Science led me soon to understand that while technology can become a true enabler to help tackle many of the challenges that exist in educational realities, the use of student data and analytics techniques raise a series of issues that require ethical and legal considerations.

Before joining this doctoral program I was working for the AutoGrade project focusing on pedagogics and the ethical aspects of an automated grading tool at the Department of Computer and Systems Sciences (DSV) of Stockholm University. This experience fueled my interest to conduct further research on AIED (Artificial Intelligence in Education) ethics. 

I am a member of the Higher Education Learning Practices (HELP) research group in the Department of Education (IPD) and the Data Science research group in the Department of Computer and Systems Sciences (DSV) of Stockholm University.

Supervisors: Cormac McGrath (IPD), Tessy Cerratto Pargman (DSV), Klara Bolander Laksov (IPD)

Thesis title: Ethics of emerging AI-driven technologies and their implications for educational practices in Higher Education. (compilation thesis)