Outstanding young researchers (Ph.D.) may apply for the Minducate science of learning scholarship. Researchers from all disciplines are encouraged to offer proposals demonstrating excellent research and solutions, that would highly impact our understanding of learning processes and/or current teaching and learning environments.
• Learning enhancement and monitoring tools
• Data based learning, AI, machine learning and big data approaches in learning
• Neuro-intervention in learning
• Models, platforms and learning environments for hybrid learning in higher education
• Digital tools for online and collaborative learning
• Personalized learning
• Learning enhancement and rehabilitation in populations with special needs
• Population learning process variation
• Neurophysiological mechanisms of learning
• Learning and memory pathways/signaling
• Brain plasticity in learning (normal and pathology)
• Short/long term memory formation and modulation
• Learning and memory impairment (pathology and aging)