ALBER – Affective Learning: Benefits and Ethical Risks in Superior Education
ALBER project is an Internal Grant of the Petroleum-Gas University of Ploiesti, project number 11061/2023, within Internal Grant for Scientific Research.
- Period: 2023-2024, 8000 Euro
- Computer Science & Education Laboratory, ITIMF Department
ALBER contributes to the field of Affective Learning (i.e. learning based on emotion recognition technologies) by conducting theoretical and experimental studies on the benefits and ethical risks of using automatic emotion recognition systems within learning processes.
Objective:
- Determining a ratio between the benefits and ethical risks of using machine learning techniques for emotion recognition in the learning process.
Research questions:
- RQ1 What are the benefits of using automatic emotion recognition systems in online learning?
- RQ2 What are the ethical risks of using automatic emotion recognition systems in online learning?
- RQ3 What is students’ perception of the use of automatic emotion recognition systems in online learning?
Team:
- Gabriela Moise (director, researcher, ICT field)
- Simona Nicoara (researcher, ICT)
- Daniela Schiopu (researcher, ICT)
- Elia Dragomir (researcher, ICT)
- Lidia Iancu (researcher, math)
- Loredana Netedu (researcher, philology)
- Mihaela Duma (researcher, philology)
- Anca Baciu (researcher, physics)
- Alexandru Savulescu (researcher, electrical engineering)
- Andreea Stoian (software developer)