GRIFE Seminar Series on Finnish Education and Global Perspectives: Neural Foundations of Learning and Memory
Global Research Institute for Finnish Education
21 Nov 2024
09:30 - 10:30
In-person: C-LP-06 or Online via ZOOM (The Zoom link will be sent to registered participants later)
This lecture explores the neural foundations of learning and memory, focusing on how the brain processes, stores, and retrieves information. We will examine the roles of key brain structures and discuss how neural mechanisms—such as synaptic plasticity and long-term potentiation—contribute to learning and memory formation. The lecture will address the ways in which these processes underlie various types of memory (e.g., declarative, procedural) and adapt in response to new experiences, supporting our ability to acquire knowledge and skills over time. Additionally, we will discuss strategies that support recall.
Intended Learning Outcomes:
- Identify major brain regions involved in learning and memory and describe their functions.
- Explain key neural processes that enable learning and memory, including synaptic plasticity and long-term potentiation.
- Differentiate between types of memory (e.g., declarative, procedural).
- Reflect on how an understanding of neural mechanisms can inform educational practices.
Speaker:
Satu-Maarit is a University Lecturer (Media Education) at the Faculty of Education, University of Lapland, Finland and an Associate Professor of Education in Sámi University of Applied Sciences in Norway. She teaches media education, life philosophy and digital technology use in education. Her key research interests are technology-mediated communication and learning, humancomputer interaction, media and psychosocial well-being, embodied cognition, international and intercultural education, and neural foundations of learning and memory.
You may also like
15 Oct 2024 - 30 Jun 2025
10:00 - 17:00
Hong Kong Museum of Education, Block D1, Podium Level, The Education University of Hong Kong, 10 Lo Ping Road, Tai Po, N.T., Hong Kong