Formation Smart Data Science for Automated Analytics of Modeling of Scientific Experiments
Issue:
Volume 8, Issue 2, December 2019
Pages:
36-43
Received:
7 October 2019
Accepted:
25 October 2019
Published:
31 October 2019
Abstract: Specialists of past generations have accumulated huge and valuable experience of analytics and forecasting in a variety of subject areas. Within the framework of the development of methods of processing scientific data, taking into account the accumulated experience of generations of specialists, it is possible to structure, specify, classify and rank them into flows of smart data for automation of research of various scientific problems by cognitive systems of artificial intelligence. Automated analytics is based on big data. A large amount of data is generated in real time by modeling a scientific experiment. When working with data, it must be processed as efficiently as possible to get the correct output. The main thing is to prepare the training sample correctly. If you select the training data sampling principle correctly, you can scale the task using a more complete set of data. It should be understood that rationing and data preparation is crucial for traditional machine learning. This process significantly affects the choice of the architecture of neural networks used, especially in so-called deep learning, when it is necessary to correctly determine the number of hidden layers in the neural network and the number of artificial neurons in them. One of the main advantages of multilayer neural networks is the simulation of the work of some complex mathematical dependence.
Abstract: Specialists of past generations have accumulated huge and valuable experience of analytics and forecasting in a variety of subject areas. Within the framework of the development of methods of processing scientific data, taking into account the accumulated experience of generations of specialists, it is possible to structure, specify, classify and r...
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Multimodal Instructional Approach: The Use of Videos, Games, Practical and Online Classroom to Enhance Students’ Performance in Programming Languages
Ismail Olaniyi Muraina,
Adegboyega Adegboye,
Michael Abejide Adegoke,
Joseph Bankole Olojido
Issue:
Volume 8, Issue 2, December 2019
Pages:
44-49
Received:
23 October 2019
Accepted:
20 November 2019
Published:
26 November 2019
Abstract: Multimodal teaching and learning via visual (video), sound (music), movement (amination), print-based text, and technology for students has great impact on content delivery if teachers teaching programming language realize its potency. Inclusion of multimodality in curriculum would enhance diversity of learning process. In this study, the author looked into the use of different modes of approaches (Multimodal Approaches) to produce desired result better more realistic and dynamic to the use of a single (monomodal) approach or mode. The study exposed students to the use of: video mode, game mode, practical mode and online classroom mode in learning a programming language. The degree students formed the target population. Data collection was done in three bases: paper data collection for videos and games, practical data for the practical classes while data was collected electronically for online classroom respectively. Quantitative analysis results of the data revealed that employing multiple modes (multimodality) for instructional supports to enhance learning programming language gave teachers opportunities to help them gain nuanced understanding of codes, powerfully express what they learned, and discover a psychological refuge. Importantly, multimodal teaching approach was found to enhance programming sense of accomplishment and self-esteem.
Abstract: Multimodal teaching and learning via visual (video), sound (music), movement (amination), print-based text, and technology for students has great impact on content delivery if teachers teaching programming language realize its potency. Inclusion of multimodality in curriculum would enhance diversity of learning process. In this study, the author lo...
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