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Enriching Statics Instruction With Physical Objects
Author(s) -
Paul S. Steif
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--10927
Subject(s) - statics , memorization , computer science , comparative statics , set (abstract data type) , class (philosophy) , session (web analytics) , task (project management) , artificial intelligence , human–computer interaction , mathematics education , psychology , engineering , programming language , physics , systems engineering , classical mechanics , world wide web , economics , macroeconomics
A variety of factors affect transfer. Most relevant to the present work is the recognition that the depth of the initial learning affects significantly the ability to transfer. Depth of learning is dependent on a number of factors, including: time on task, learning for understanding rather than memorizing facts, having deliberate practice with feedback, recognizing the signals that trigger the usefulness of the knowledge, and the motivation associated with seeing material being useful.

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