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Learning technology advancements have shown how employees can benefit from new and varied learning experiences in comparison to traditional on-the-job training.
Robyn Murphy
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ZHAO, Peilin +3 more
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Predictors of Collateral Learning Transfer in Continuing Vocational Training
Against the background of demographic change and skill shortages continuing vocational training is of great significance in Germany. However, the training effectiveness is mostly assessed only at the end of a training program or several months after the ...
Anja-Christina Hinrichs
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Effects of Level of Immersion on Virtual Training Transfer of Bimanual Assembly Tasks
The availability of consumer-facing virtual reality (VR) headsets makes virtual training an attractive alternative to expensive traditional training. Recent works showed that virtually trained workers perform bimanual assembly tasks equally well as ones ...
Songjia Shen +3 more
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近年來,數位遊戲式學習(Digital Game-based Learning, DGBL)已逐漸受到數位學習(e-Learning)的重視,但根據過去的一些研究發現,數位遊戲式學習者常會出現逃避學習的行為,且在數位遊戲式學習的成效上似乎也充滿不確定性。本研究以8 位國小學生為研究對象,透過質性為主的個案研究,經實地的觀察與訪談,深入分析影響數位遊戲式學習行為的因素,並探討影響學習者的遠遷移成效之因素。研究發現,本研究所採用的教育性線上遊戲雖可促使學生主動學習,但也會伴隨著不認真學習 ...
蔡福興 Fu-Hsing Tsai +2 more
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In machine learning, transfer learning is concerned with utilising prior knowledge as a way to improve the process of training a new model in a different, but related, domain. Transfer learning has been shown to be beneficial across a large set of problems.
Brandon Muller +3 more
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Pathology of educational factors affecting the transfer of students' learning in Farhangian University's internship program [PDF]
The main goal of this research was to analyze the educational factors of learning transfer in the internship curriculum of Farhangian University. The research method is practical in terms of its purpose and qualitative in terms of data collection using ...
AliReza Farahani +2 more
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Revisiting Use of Real-Time Polling for Learning Transfer
Instructors in five different undergraduate courses designed their courses to include real-time polling to increase their students’ levels of engagement and participation in an attempt to enhance students’ learning transfer.
Sheri Stover +3 more
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Quantum Adversarial Transfer Learning
Adversarial transfer learning is a machine learning method that employs an adversarial training process to learn the datasets of different domains. Recently, this method has attracted attention because it can efficiently decouple the requirements of tasks from insufficient target data.
Longhan Wang, Yifan Sun, Xiangdong Zhang
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Learning More Universal Representations for Transfer-Learning [PDF]
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Tamaazousti, Youssef +4 more
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