AMNESIA
Adaptive learning MaNagEment System: an intelligent LMS that personalises the learning experience through Machine Learning and Affective Computing.
Beyond traditional e-learning: adaptive and intelligent learning
AMNESIA proposes the development of an adaptive and advanced LMS (Learning Management System) that overcomes the limitations of traditional digital learning environments. The goal is to revolutionise the online learning experience through intelligent personalisation, dynamic adaptation and emotional-cognitive monitoring of students.
The system integrates emerging technologies such as Machine Learning, Reinforcement Learning and Affective Computing to create an e-learning ecosystem that responds to individual differences in cognitive styles, prior knowledge and motivation of each student.
Project details
- Funding body
- Puglia Region
- Programme
- Title II – Chapter 2, Support for SME integrated programmes
- Sector
- EdTech · Artificial Intelligence · E-learning
- Partner
- KAD3 · Tempo S.r.l. · L&G Solution S.r.l.
Machine Learning, Reinforcement Learning and Affective Computing
Machine Learning
ML algorithms to analyse each student's learning patterns, adapt educational content and automatically optimise the learning path.
Reinforcement Learning
RL techniques for a system that continuously learns and improves its adaptation strategies, maximising learning outcomes over time.
Affective Computing
Recognition and response to the student's emotional and cognitive states — attention, frustration, engagement — to optimise the learning experience in real time.
An e-learning ecosystem that adapts to the student
Content personalisation
Dynamic adaptation of educational materials based on each student's needs, prior knowledge and cognitive style.
Adaptive assessments
Assessments that adapt to individual capabilities, avoiding rigid standardisation and offering a fairer and more effective evaluation experience.
Learning style recognition
Automatic identification of learning preferences to present content in the most appropriate format and sequence for each student.
Emotional-cognitive monitoring
Continuous analysis of emotional and cognitive engagement to intervene promptly when a student shows signs of difficulty or disengagement.
The project consortium
KAD3 S.r.l.
ProponentProject lead, responsible for technological development and adaptive system architecture.
Tempo S.r.l.
PartnerPartner specialised in the training and educational systems sector.
L&G Solution S.r.l.
PartnerPartner with expertise in software development and digital learning solutions.
Artificial intelligence applied to training
Find out how the technologies developed in AMNESIA can transform training in your organisation.
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