EduAIA is a project focused on personalising online education learning through empathic conversational pedagogical agents (educational chatbots).
This project helps university institutions and e-learning platforms integrate agents that support students’ cognitive and affective aspects into their own Learning Management Systems (LMS; Moodle, Canvas, Blackboard, etc.). Not only will students have a 24/7 learning assistant and feel emotionally supported, but teachers will also amplify their role.
Solution
EduAIA’s Digital Pedagogical Agent for Online Education is a solution focused on online education that incorporates Generative AI-driven agents (LLM) with scaffolding and fading in LMS. This solution solves the problem of a lack of speed in pedagogical support and feedback to the student body and the difficulties in managing their emotions during asynchronous online education spaces. According to Conrad and Dabbagh (2018), 29% of students receive a response within 1 to 7 days to their questions. Furthermore, the study shows that students preferred timely feedback over delayed but elaborated feedback. This solution will assess cognitive state, detect emotional cues, personalise feedback, and adapt learning paths to drive student learning. Customers will benefit from reduced teacher workload, real-time performance analytics (e.g., % reduction in time to answer questions, % automation in feedback, etc.), reporting of mastered and reinforced student learning, and a flexible subscription model that offers premium features such as advanced predictive dashboards. In addition, this solution will ensure student inclusiveness through multi-modal interaction, and a seamless implementation in the LMSs themselves. In other words, the solution will enable the delivery of more effective, accessible and student-centred online programmes.
Advantages
The Digital Pedagogical Agent for Online Education, which personalises online education, reduce teacher workload, and enhances student engagement — seamlessly integrated into your LMS, offers explicitly:
- Real-time personalisation.
- Unique cognitive and affective scaffolding and fading.
- Teaching support.
- Inclusiveness to the student body.
- Scalability: easy integration with leading LMS.
Team

Elvis Ortega-Ochoa, PhD – Founder & CEO: Researcher in Education and ICT at the Universitat Oberta de Catalunya (UOC), with hands-on experience in the design of learning experiences, adaptive learning, and educational applications of machine learning and artificial intelligence.

Prof. Atanasi Daradoumis, PhD – Advisor eLearning: Associate Professor at the UOC and the University of the Aegean, with a robust publication record in educational technology, e-learning, collaborative learning, emotional intelligence, and affective and adaptive systems.

Prof. Marta Arguedas, PhD – Advisor eLearning: Professor at the Universidad Internacional de Valencia (VIU), specialising in educational technology, e-learning, collaborative learning, emotional intelligence, and affective and adaptive systems.

Prof. Jordi Conesa, PhD – Advisor IT: Associate Professor at the UOC with expertise in e-learning, conceptual modelling, learning analytics, and lifelong learning.

Prof. Santi Caballé, PhD – Advisor R&D Funding: Full Professor at the UOC with extensive experience in learning engineering, e-learning, collaborative learning, AI in education, conversational agents, and learning analytics.
Research
- Ortega-Ochoa, E., Arguedas, M., Daradoumis, T., & Söllner, M. (2025). Supporting students’ emotion regulation through intelligent agents in computer-based learning: A systematic review using large language models [Manuscript submitted for publication].
- Ortega-Ochoa, E., Sabaté, J.–M., Arguedas, M., Conesa, J., Daradoumis, T., Caballé, S. (2024). Exploring the utilization and deficiencies of Generative Artificial Intelligence in students’ cognitive and emotional needs: a systematic mini-review. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1493566
- Ortega-Ochoa, E., Quiroga Pérez, J., Arguedas, M., Daradoumis, T., & Marquès Puig, J. M. (2024). The effectiveness of empathic chatbot feedback for developing computer competencies, motivation, self-regulation, and metacognitive reasoning in online higher education. Internet of Things, 25, Article 101101. https://doi.org/10.1016/j.iot.2024.101101
- Ortega-Ochoa, E., Arguedas, M., & Daradoumis, T. (2024). Empathic pedagogical conversational agents: A systematic literature review. British Journal of Educational Technology, 55(3), 886-909. https://doi.org/10.1111/bjet.13413