About the EYE-TEACH Project
The project “Eye-tracking and AI for Enhanced Teaching (EYE-TEACH)” has been funded under the European Union’s Horizon Europe Programme, Call “HORIZON-CL2-2024-TRANSFORMATIONS-01-11”. It started on 1 January 2025 and will end on 31 December 2027. EYE-TEACH aims (a) to deepen the understanding of the potential and impact of new technological developments in AI and eye tracking to complement teachers’ pedagogical skills and support the development of reading comprehension skills in students; (b) to develop and deploy an AI-assisted ET-analytics tool that complements and enhances teachers’ pedagogical skills in supporting students’ reading comprehension; (c) to develop the necessary skills of teachers and education professionals to understand and make use of AI-assisted ET-analytics tools in supporting student’s reading comprehension.
The EYE-TEACH project is made up of a partnership of distinguished partners from multiple countries across Europe. Our consortium includes a dynamic team of leading academic institutions, tech innovators, and education experts. Coordinated by the University of Turku (Finland), the consortium spans 8 other countries: Sweden, Netherlands, Belgium, Germany, Italy, Malta, and Spain. The full consortium can be found here: https://eyeteach.eu/about-us-consortium/
The EYE-TEACH partner responsible for this study is the University of Antwerp (UAntwerpen). The study will contribute to all objectives set out above and will mainly be informative for the further design of AI-systems to support teachers.
About This Study
This study is part of Work Package 1 (WP1) of the EYE-TEACH project.
The objective of WP1 is to empower teachers across different educational levels to collaborate effectively with AI-assisted educational technology analytics tools for assessing and supporting students’ reading comprehension.
EYE-TEACH researchers will:
- Explore teachers’ needs, acceptance, and readiness to use different types of AI-assisted eye-tracking analytics tools.
- Examine how these tools can work at various levels of automation, from teacher-controlled to more autonomous systems.
- Involve teachers directly throughout the research process to ensure practical, teacher-friendly solutions.
Your input in this survey will help guide the design and development of these tools so they truly support classroom teaching.
Data Storage and Protection
Data management follows the General Data Protection Regulation (GDPR) and the ethical guidelines of UAntwerpen. Qualtrics software is used for the data collection. Data will be stored for up to 10 years after the end of the study in a secure server by UAntwerpen. The anonymous data (in which participants cannot be identified) may be shared with national and international researchers via secure platforms, for the purposes of this and/or future scientific studies.
The Data Controller is University of Antwerp (UAntwerpen, Belgium). The main researchers from UAntwerpen involved in this study are Siem Buseyne ([email protected]), Glen Joris, Tine van Daal, Vincent Donche, Sven De Maeyer, and David Gijbels. The data protection officer is Koen Pepermans ([email protected]).
Only personal data strictly necessary to achieve the objectives of the study will be collected, and this will be done anonymously. If participants inadvertently reveal their identity in responses to open-text questions, these responses will be further anonymized.