Objective
Learning about the world is most effective when we can relate new information to previously learned knowledge structures, but underlying neurocognitive processes are still poorly understood. To successfully structure our knowledge, we can integrate separately learned instances by inferring an association between them. In the brain, this integration of old and new memories has been suggested to be facilitated by the reinstatement of prior knowledge structures during new learning, but it remains unclear exactly how reinstatement enables effective building of such knowledge structures. Especially in real-world educational settings it is vital to understand how to effectively build knowledge, but thus far direct translation of neuroscientific insights to educational practice has proven challenging.
Better understanding how we build new knowledge on existing knowledge structures can lead to more efficient educational strategies and programs, helping us to learn more efficiently. I here propose to examine the neural processes underlying these reinstatement and integration processes during learning of educationally relevant information and explore how actively controlling them can benefit educational knowledge building.
More specifically, I aim to examine educationally relevant knowledge building by 1) implementing parallel educational and neuroscientific knowledge integration paradigms and 2) combining results and conclusions from both paradigms to 3) explore how students can most effectively build educational knowledge structures. This approach will yield novel insights into active control of knowledge building processes that can be employed to construct more efficient learning strategies in education. This novel approach enables investigating educationally relevant knowledge building in the brain, yielding essential fundamental insights while concurrently generating new knowledge building strategies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- social sciences educational sciences didactics
- social sciences psychology
- engineering and technology medical engineering diagnostic imaging magnetic resonance imaging
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1081 HV Amsterdam
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.