Results 71 to 80 of about 237,267 (273)

The integration of computer use in education [PDF]

open access: yes, 1992
There is an increasing awareness that disappointing experiences with the introduction of computers in education are a consequence of insufficiently taking into account factors that are crucial when introducing change in educational settings.
Akker, Jan van den   +2 more
core   +2 more sources

Investigating the perceptions of self‐efficacy of in‐field and out‐of‐field home economics teachers

open access: yesFamily and Consumer Sciences Research Journal, Volume 53, Issue 3, March 2025.
Abstract Out‐of‐field teaching is a strategy employed to address global teacher shortages. This study compares Australian in‐field and out‐of‐field teacher effectiveness perceptions when teaching home economics. An online survey (N = 194) identified statistically significant findings that negatively impact the subject, teachers, and students: in‐field ...
Donna Pendergast   +3 more
wiley   +1 more source

Human Resource Empowerment via In-service Training [PDF]

open access: yesمدیریت بهره وری, 2009
Empowerment is nowadays considered as one of the useful tools to promote employees' quality and increase organizational effectivenes.To achieve success in today's ever-changing working environment, organizations need employees' knowledge, views, and ...
Mahdy Karroubi, Mehrdad Mattany
doaj  

Efficient NLP Model Finetuning via Multistage Data Filtering [PDF]

open access: yesarXiv, 2022
As model finetuning is central to the modern NLP, we set to maximize its efficiency. Motivated by redundancy in training examples and the sheer sizes of pretrained models, we exploit a key opportunity: training only on important data. To this end, we set to filter training examples in a streaming fashion, in tandem with training the target model.
arxiv  

Comparison of mechanical restraint use in a metropolitan ED after system change: A before and after analysis

open access: yesEmergency Medicine Australasia, Volume 37, Issue 1, February 2025.
After a period of change implementation, there was a reduction in the number of restraint episodes and the mean duration of restraint and an increase in the use of sedation. However, restrained patients still endure prolonged assessment times and access block in the ED.
Jaislie La Barrass   +3 more
wiley   +1 more source

Impact of training in autism for primary care providers: a pilot study

open access: yesBrazilian Journal of Psychiatry, 2015
Objective: To evaluate the impact of a training program on autism spectrum disorder (ASD) identification offered to Brazilian health professionals. Methods: Twenty-two primary care providers participated in five 3-hour weekly training sessions.
Daniela Bordini   +5 more
doaj   +1 more source

A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization [PDF]

open access: yesarXiv, 2020
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset used for training, namely gross training set, in a certain way. The training set is used for training the model while the validation set is used to estimate the generalization performance of the trained model as ...
arxiv  

CAT:Collaborative Adversarial Training [PDF]

open access: yesarXiv, 2023
Adversarial training can improve the robustness of neural networks. Previous methods focus on a single adversarial training strategy and do not consider the model property trained by different strategies. By revisiting the previous methods, we find different adversarial training methods have distinct robustness for sample instances.
arxiv  

Single-step Adversarial training with Dropout Scheduling [PDF]

open access: yesarXiv, 2020
Deep learning models have shown impressive performance across a spectrum of computer vision applications including medical diagnosis and autonomous driving. One of the major concerns that these models face is their susceptibility to adversarial attacks.
arxiv  

Continuous 16-bit Training: Accelerating 32-bit Pre-Trained Neural Networks [PDF]

open access: yesarXiv, 2023
In the field of deep learning, the prevalence of models initially trained with 32-bit precision is a testament to its robustness and accuracy. However, the continuous evolution of these models often demands further training, which can be resource-intensive.
arxiv  

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