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This paper describes a learning system based on resilience indicators.
This paper describes a learning factory testbed environment supporting the product development process, which was implemented at the Methodist University of Piracicaba, Brazil.
This paper describes a learning system that makes a large part of the concept description language an explicit input, and discusses some of the possible applications of providing this additional input.
The Framework describes a learning outcome as "a skill, knowledge or disposition that educators can actively promote in early childhood settings, in collaboration with children and families" (Commonwealth of Australia, 2009, p. 8).
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In particular, we describe a learning apprentice for digital circuit design, called LEAP.
We describe a learning strategy that allows a humanoid robot to autonomously build a representation of its workspace: we call this representation Reachable Space Map.
New York City parents of current and former Success Academy students describe a learning environment that was a godsend for some children and a grind for others.
The paper consists of two parts, each of them describing a learning neural network with the same modular architecture and with a similar set of functioning algorithms.
Partners encountered some difficulties when trying to describe a learning outcome with three verbs, as some learning outcomes were not clearly defined.
After describing a learning outcome, in the Step 2 the user chooses up to three verbs that best describe it (Fig. 3).
By applying this simple and good working definition to learning; we can describe a learning ecosystem "as the complex of living organisms in a learning environment (e.g. students, educators, resources), and all their interrelationships in a particular unit of space (can be digital or physical)" (Giannakos et al., 2016).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com