Objective
Emotions are an integral part of learning. While the role of artificial intelligence (AI) in learning processes is constantly growing, critical gaps remain in understanding its impact on students’ emotions, wellbeing, and ultimately, learning outcomes. The AI-EMOTION project aims to uncover the potential and pitfalls of AI that extend beyond cognitive learning outcomes by investigating the affective processes and mechanisms of such technology-mediated learning. By employing a multidisciplinary approach that integrates educational sciences, computer science, and psychophysiology, the project seeks to understand the complex daily dynamics between technology-mediated learning, academic emotions, and students’ well-being.
To ensure robust results in real-world settings, students’ emotional experiences and related physiological states are captured across authentic learning situations in real-time using smartphone questionnaires and wearable biometric sensors. The resulting data will provide a rich information source for analysing within-person emotional processes and individual and group-level differences, covering three educational levels from middle school to university.
The findings of the AI-EMOTION project are expected to generate new theoretical leads for both academic emotion and human-computer interaction research. Furthermore, the project will develop novel multimodal methods for emotional data collection and analysis, making significant methodological contributions to the interdisciplinary science of human emotions. Ultimately, AI-EMOTION will provide insights for designing AI tools that are not only cognitively effective but also emotionally supportive for learners.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00014 HELSINGIN YLIOPISTO
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.