72 research outputs found
An AI generated audio Summary of the ecological theory of learning transfer:
<p dir="ltr">This audio summary was generated by NoteBook LM. The paper from which the summary was generated is open source at Lintern, G., Kugler, P.N., & Motavalli, A. (2024). An Ecological Theory of Learning Transfer in Human Activity. <i>Theoretical Issues in Ergonomics Science, </i>https://doi: 10.1080/1463922X.2024.2365429.</p>
Online Resource Learning Transfer.docx
<p dir="ltr">This document reports analyses in support of Lintern, G., Kugler, P.N., & Motavalli, A. (2024). An Ecological Theory of Learning Transfer in Human Activity. <i>Theoretical Issues in Ergonomics Science, </i>https://doi: 10.1080/1463922X.2024.2365429.</p>
The Mystery of Distributed Learning
There are contrasting opinions about the value of distributed learning. Several textbooks on general training issues promote it as an effective training strategy while many researchers who have focused specifically on this topic argue that distributed practice is no more effective than non-distributed practice. It is noteworthy that most who promote distributed learning base their opinion on belief rather than on experimental research while most who argue that it is of no value base their opinions on empirical data restricted primarily to the learning of simple motor skills. Additionally, much of the distributed learning research has employed the experimentally convenient manipulation of distributing learning trials whereas, from a practical perspective, the distribution of sessions would offer a more relevant experimental manipulation. In this paper, I explore the insights that can be gleaned from research that has focused on operationally relevant tasks and in which learning sessions have been distributed
Transfer of Landing Skill after Training with Supplementary Visual Cues
An aircraft simulator with a closed-loop computer-generated visual display, was used to teach flight-naive subjects to land. A control training condition in which subjects learned to land with reference to a skeletal airport scene consisting of a horizon, runway, centerline, and aiming bar, was tested against training with constantly augmented feedback, adaptively augmented feedback, and a flightpath tracking display. A simulator-to-simulator transfer-of-training design showed that adaptively trained subjects performed best in a transfer task that was identical to the control group's training condition. Several subjects attempted six landings in a light airplane after they had completed their experimental work in the simulator. They performed better than another group of subjects that had not had any landing practice in the simulator. </jats:p
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