Case-based learning (CBL) is a constructivist pedagogy in which students read hypothetical accounts of real world situations and consider how they would respond if facing similar challenges. In physical education teacher education, research has shown that CBL has the potential to promote critical think...
The main purpose of the study was to gather, analyze and interpret the perceptions of the students about mastery learning (ML) held by 240 students randomly selected from each of the populations of different faculties in Guilan University. Guilan University was chosen because the researchers have ...
Deep LearningThe main purpose of the study was to gather, analyze and interpret the perceptions of the students about mastery learning (ML) held by 240 students randomly selected from each of the populations of different faculties in Guilan University. Guilan University was chosen because the ...
A case study evaluation of this novel application of an adventure game genre to literacy learning is discussed, based on observations and interviews in three UK learning centres. We argue that (1) the success of this game in engaging with the target population calls for its consideration as an...
With ML tools on AWS, we can prototype ideas quickly and reduce our time-to-market by relying on managed services instead of developing in-house solutions.” Samy Basset Machine Learning Engineer, LalamoveAdvanced Technology for On-Demand Logistics The sharing economy has taken the world by storm...
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The combination of TinyML and CloudML (cloud machine learning) even enhances environmental monitoring and climate prediction [69]. 2.2. In Precision Agriculture TinyML-based green AI addresses key challenges in precision agriculture by providing better tuning of environmental parameters [70], reducing ...
For this reason, the U-Net was selected as a deep learning model for performance comparison with ensemble learning-based machine learning models in this study while considering the advantage that high performance can be derived even in the limited training data. The structure of U-Net is shown ...
Get started in seconds with a zero-setup Jupyter Notebook environment that runs on free GPUs and a large repository of pre-configured ML projects. Discover and fork a range of projects in popular areas such as object detection, GANs, text-to-speech, reinforcement learning, and more. ...
Practical/ case-based reasoningknowledge acquisitionknowledge representationlearning (artificial intelligence)medical expert systems/ knowledgeable learningMOBALmedical case studyknowledge basetheoretical knowledgepractical experienceBuilding up a knowledge base is a complex task in which theoretical knowledge needs ...