Advisory board for research exploring the factors of cognitive load in online learning

Anne-Laure Le Cunff, PhD candidate at the Institute of Psychiatry, Psychology & Neuroscience, King’s College London
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Twitter: @anthilemoon

The brain has different kinds of memory, including sensory memory, working memory, and long-term memory. Information may only be stored in long-term memory after first being processed by working memory. However, working memory is inherently limited in capacity and duration. Cognitive load refers to the used amount of working memory resources, which may affect the way we learn.

There has been extensive research exploring the relationship between cognitive load and learning outcomes in traditional education, but not much is known about cognitive load in online education, and even less is known as to how neurodivergent students may be affected differently.
 
Our research aims to uncover the factors impacting cognitive load in online learning, with a focus on supporting neurodiversity in online education. It will consist of a series of studies, beginning with focus groups, and followed by experimental tests conducted in the laboratory. The findings will hopefully help us formulate evidence-based guidelines for low distraction online learning.
 
In order to ensure that we seek the views of, and properly serve, the communities we are studying, we want the research process to be participatory. Participatory research is a collaborative approach which includes members of the groups being studied in the research process. This can involve any or all parts of the project, including design, data collection, analysis and publication.
 
We are seeking neurodivergent individuals to join our Research Advisory Board and contribute to research that is democratic, reflexive, and respectful. If you join the board, you will be added to a dedicated email list, where we will send occasional requests for support. The Research Advisory Board will communicate primarily via email, with possible in-person or online meetings if required. Your contribution should take no more than one hour a month from January to December 2022.
 
If you are interested in joining our Research Advisory Board, please send an email to annelaure.lecunff@kcl.ac.uk to receive more information and ask any question.