Essays about: "alternative learning system"
Showing result 1 - 5 of 109 essays containing the words alternative learning system.
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1. Unpacking the Washback Effect of University Entrance Exams : A Qualitative Study of Uzbekistan’s Students’ Exam Preparation Experiences
University essay from Stockholms universitet/Institutionen för pedagogik och didaktikAbstract : The evolving nature of education emphasizes the importance of fostering 21st-century skills. To align with the requirements of the contemporary era, Uzbekistan introduced its new competency based National Curriculum, highlighting the development of 21st century skills. READ MORE
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2. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE
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3. Spatialized Sonification for the Learning of Surgical Navigation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Historically, the education of surgical navigation in minimally invasive neurosurgery has been constrained by several factors. Medical students have been required to physically be in the operating room to observe a teacher perform the different procedures. This restricts their opportunities to gain valuable hands-on experience in their field. READ MORE
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4. Over-the-Air Federated Learning with Compressed Sensing
University essay from Linköpings universitet/KommunikationssystemAbstract : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). READ MORE
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5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE
